Subjects -> ENGINEERING (Total: 2688 journals)
    - CHEMICAL ENGINEERING (229 journals)
    - CIVIL ENGINEERING (237 journals)
    - ELECTRICAL ENGINEERING (176 journals)
    - ENGINEERING (1325 journals)
    - ENGINEERING MECHANICS AND MATERIALS (452 journals)
    - HYDRAULIC ENGINEERING (56 journals)
    - INDUSTRIAL ENGINEERING (98 journals)
    - MECHANICAL ENGINEERING (115 journals)

ENGINEERING (1325 journals)            First | 1 2 3 4 5 6 7 | Last

Showing 201 - 400 of 1205 Journals sorted alphabetically
Concurrent Engineering     Hybrid Journal   (Followers: 3)
Continuum Mechanics and Thermodynamics     Hybrid Journal   (Followers: 8)
Control Engineering Practice     Hybrid Journal   (Followers: 46)
Control Theory and Informatics     Open Access   (Followers: 9)
Corrosion Science     Hybrid Journal   (Followers: 23)
CT&F - Ciencia, Tecnología y Futuro     Open Access  
CTheory     Open Access  
Current Applied Physics     Full-text available via subscription   (Followers: 4)
Current Applied Science and Technology     Open Access  
Current Journal of Applied Science and Technology     Open Access  
Current Research in Nanotechnology     Open Access   (Followers: 23)
Current Science     Open Access   (Followers: 116)
Dams and Reservoirs     Hybrid Journal   (Followers: 3)
Data-Centric Engineering     Open Access  
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 1)
Design Journal : An International Journal for All Aspects of Design     Hybrid Journal   (Followers: 33)
Designed Monomers and Polymers     Open Access   (Followers: 1)
Designs     Open Access  
Designs, Codes and Cryptography     Hybrid Journal   (Followers: 7)
Development Engineering     Open Access   (Followers: 3)
Diálogos Interdisciplinares     Open Access  
Diffusion Foundations     Full-text available via subscription   (Followers: 4)
Digital Signal Processing     Hybrid Journal   (Followers: 34)
Dinamisia : Jurnal Pengabdian Kepada Masyarakat     Open Access  
Discrete Optimization     Full-text available via subscription   (Followers: 7)
Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi     Open Access  
Düzce Üniversitesi Bilim ve Teknoloji Dergisi / Duzce University Journal of Science & Technology     Open Access  
Dyes and Pigments     Hybrid Journal   (Followers: 1)
Dynamical Systems : An International Journal     Hybrid Journal  
E&S Engineering and Science     Open Access  
e-Phaïstos : Revue d’histoire des techniques / Journal of the history of technology     Open Access  
EAU Heritage Journal Science and Technology     Open Access   (Followers: 1)
El-Cezeri Fen ve Mühendislik Dergisi / El-Cezeri Journal of Science and Engineering     Open Access  
Electromagnetics     Hybrid Journal   (Followers: 13)
Electrophoresis     Hybrid Journal   (Followers: 18)
Elkawnie : Journal of Islamic Science and Technology     Open Access  
Emerging Science Journal     Open Access   (Followers: 1)
Emitter : International Journal of Engineering Technology     Open Access  
ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations     Open Access  
Energies     Open Access   (Followers: 4)
Energy and Power Engineering     Open Access   (Followers: 23)
Energy Conversion and Management     Hybrid Journal   (Followers: 15)
Energy Conversion and Management : X     Open Access   (Followers: 1)
Energy Engineering     Full-text available via subscription   (Followers: 8)
Energy for Sustainable Development     Hybrid Journal   (Followers: 13)
Energy Science & Engineering     Open Access   (Followers: 6)
Energy Science and Technology     Open Access   (Followers: 10)
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects     Hybrid Journal   (Followers: 1)
Energy Sources, Part B: Economics, Planning, and Policy     Hybrid Journal   (Followers: 7)
Energy Systems     Hybrid Journal   (Followers: 11)
EnergyChem     Hybrid Journal   (Followers: 1)
Engenharia de Interesse Social     Open Access  
ENGEVISTA     Open Access  
Engineer : Journal of the Institution of Engineers, Sri Lanka     Open Access  
Engineering     Open Access   (Followers: 1)
Engineering & Technology     Hybrid Journal   (Followers: 22)
Engineering Analysis with Boundary Elements     Hybrid Journal   (Followers: 2)
Engineering Computations     Hybrid Journal   (Followers: 3)
Engineering Economics     Open Access   (Followers: 4)
Engineering Economist, The     Hybrid Journal   (Followers: 4)
Engineering Failure Analysis     Hybrid Journal   (Followers: 68)
Engineering Geology     Hybrid Journal   (Followers: 16)
Engineering Journal of Research and Development     Open Access  
Engineering Management in Production and Services     Open Access  
Engineering Management Research     Open Access   (Followers: 6)
Engineering Optimization     Hybrid Journal   (Followers: 19)
Engineering Reports     Open Access  
Engineering Science and Technology, an International Journal     Open Access   (Followers: 1)
Engineering Sciences     Open Access  
Engineering Studies     Hybrid Journal   (Followers: 1)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Engineering, Technology & Applied Science Research     Open Access   (Followers: 1)
ENP Engineering Science Journal     Open Access  
Entramado     Open Access  
Entre Ciencia e Ingeniería     Open Access  
Entropy     Open Access   (Followers: 5)
Environmental & Engineering Geoscience     Full-text available via subscription   (Followers: 5)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
Environmetrics     Hybrid Journal  
Épités - Épitészettudomány     Full-text available via subscription   (Followers: 1)
EPJ Photovoltaics     Open Access   (Followers: 2)
Ergonomics in Design: The Quarterly of Human Factors Applications     Hybrid Journal   (Followers: 21)
ESAIM: Control Optimisation and Calculus of Variations     Open Access   (Followers: 2)
ESAIM: Mathematical Modelling and Numerical Analysis     Open Access   (Followers: 5)
ESAIM: Proceedings     Open Access  
eScience     Open Access   (Followers: 1)
Estuaries and Coasts     Hybrid Journal   (Followers: 22)
EUREKA : Physics and Engineering     Open Access  
Euro-Mediterranean Journal for Environmental Integration     Hybrid Journal  
European Journal of Combinatorics     Full-text available via subscription   (Followers: 3)
European Journal of Engineering Education     Hybrid Journal   (Followers: 9)
European Journal of Lipid Science and Technology     Hybrid Journal   (Followers: 1)
European Journal of Mass Spectrometry     Hybrid Journal   (Followers: 16)
European Physical Journal - Applied Physics     Full-text available via subscription   (Followers: 19)
European Transport Research Review     Open Access   (Followers: 22)
Evolutionary Intelligence     Hybrid Journal   (Followers: 2)
Evolving Systems     Hybrid Journal  
Experimental and Computational Multiphase Flow     Hybrid Journal  
Experimental Techniques     Hybrid Journal   (Followers: 51)
Experiments in Fluids     Hybrid Journal   (Followers: 17)
Farm Engineering and Automation Technology Journal     Open Access  
Fibers and Polymers     Full-text available via subscription   (Followers: 4)
FIGEMPA : Investigación y Desarrollo     Open Access   (Followers: 1)
Filtration & Separation     Full-text available via subscription   (Followers: 4)
Finite Fields and Their Applications     Full-text available via subscription   (Followers: 5)
Fırat University Turkish Journal of Science & Technology     Open Access  
Fire Science Reviews     Open Access   (Followers: 12)
Flexible Services and Manufacturing Journal     Hybrid Journal   (Followers: 2)
Flow, Turbulence and Combustion     Hybrid Journal   (Followers: 30)
Fluid Dynamics     Hybrid Journal   (Followers: 27)
Fluid Phase Equilibria     Hybrid Journal   (Followers: 4)
Focus on Catalysts     Full-text available via subscription  
Focus on Pigments     Full-text available via subscription   (Followers: 3)
Focus on Powder Coatings     Full-text available via subscription   (Followers: 5)
Focus on Surfactants     Full-text available via subscription   (Followers: 2)
Food Engineering Reviews     Hybrid Journal   (Followers: 2)
Food Science and Technology     Open Access   (Followers: 2)
Forces in Mechanics     Open Access   (Followers: 4)
Formación Universitaria     Open Access   (Followers: 4)
FORMakademisk - forskningstidsskrift for design og designdidaktikk     Open Access   (Followers: 2)
Formal Methods in System Design     Hybrid Journal   (Followers: 6)
Forschung     Hybrid Journal   (Followers: 1)
Forschung im Ingenieurwesen     Hybrid Journal  
Foundations and Trends in Systems and Control     Full-text available via subscription   (Followers: 4)
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Electronic Design Automation     Full-text available via subscription   (Followers: 1)
Foundations of Science     Hybrid Journal   (Followers: 1)
Frontiers in Aerospace Engineering     Open Access   (Followers: 20)
Frontiers in Energy     Hybrid Journal   (Followers: 4)
Frontiers in Nanotechnology     Open Access   (Followers: 1)
Frontiers of Environmental Science & Engineering     Hybrid Journal   (Followers: 3)
Fuel and Energy Abstracts     Full-text available via subscription   (Followers: 7)
Fuel Cells     Hybrid Journal   (Followers: 8)
Fuel Cells Bulletin     Full-text available via subscription   (Followers: 9)
Fusion Engineering and Design     Hybrid Journal   (Followers: 6)
Fuzzy Information and Engineering     Open Access   (Followers: 2)
Fuzzy Sets and Systems     Hybrid Journal   (Followers: 3)
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards     Hybrid Journal   (Followers: 8)
Géotechnique     Hybrid Journal   (Followers: 27)
Geothermics     Hybrid Journal   (Followers: 7)
Glass Technology - European Journal of Glass Science and Technology Part A     Full-text available via subscription   (Followers: 1)
Global Journal of Engineering Research     Full-text available via subscription  
Global Transitions Proceedings     Open Access  
GPS Solutions     Hybrid Journal   (Followers: 28)
Graphs and Combinatorics     Hybrid Journal   (Followers: 4)
Grass and Forage Science     Hybrid Journal   (Followers: 4)
Groundwater for Sustainable Development     Full-text available via subscription   (Followers: 5)
Heat Transfer - Asian Research     Hybrid Journal   (Followers: 11)
Heat Transfer Engineering     Hybrid Journal   (Followers: 36)
Heat Treatment and Surface Engineering     Open Access  
High Voltage     Open Access  
Himalayan Journal of Science and Technology     Open Access  
Historical Records of Australian Science     Hybrid Journal   (Followers: 2)
Human Behavior and Emerging Technologies     Hybrid Journal   (Followers: 1)
Human Factors in Ergonomics & Manufacturing     Hybrid Journal   (Followers: 12)
Human-Intelligent Systems Integration     Hybrid Journal  
I+D Revista de Investigaciones     Open Access  
IBM Journal of Research and Development     Hybrid Journal   (Followers: 16)
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 112)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 88)
IEEE Communications Magazine     Full-text available via subscription   (Followers: 140)
IEEE Embedded Systems Letters     Hybrid Journal   (Followers: 60)
IEEE Engineering Management Review     Full-text available via subscription   (Followers: 117)
IEEE Geoscience and Remote Sensing Letters     Hybrid Journal   (Followers: 151)
IEEE Geoscience and Remote Sensing Magazine     Hybrid Journal   (Followers: 6)
IEEE Industry Applications Magazine     Full-text available via subscription   (Followers: 82)
IEEE Instrumentation & Measurement Magazine     Hybrid Journal   (Followers: 148)
IEEE Journal of Biomedical and Health Informatics     Hybrid Journal   (Followers: 14)
IEEE Journal of Oceanic Engineering     Hybrid Journal   (Followers: 11)
IEEE Journal of Selected Topics in Quantum Electronics     Hybrid Journal   (Followers: 7)
IEEE Journal of Selected Topics in Signal Processing     Hybrid Journal   (Followers: 43)
IEEE Journal of Solid-State Circuits     Full-text available via subscription   (Followers: 24)
IEEE Journal on Selected Areas in Communications     Hybrid Journal   (Followers: 39)
IEEE Latin America Transactions     Full-text available via subscription   (Followers: 2)
IEEE Magnetics Letters     Hybrid Journal   (Followers: 7)
IEEE Microwave and Wireless Components Letters     Hybrid Journal   (Followers: 35)
IEEE Microwave Magazine     Full-text available via subscription   (Followers: 63)
IEEE Nanotechnology Magazine     Hybrid Journal   (Followers: 45)
IEEE Open Journal of Engineering in Medicine and Biology     Open Access   (Followers: 1)
IEEE Open Journal of Nanotechnology     Open Access   (Followers: 1)
IEEE Potentials     Full-text available via subscription   (Followers: 42)
IEEE Reviews in Biomedical Engineering     Hybrid Journal   (Followers: 19)
IEEE Signal Processing Letters     Hybrid Journal   (Followers: 60)
IEEE Solid-State Circuits Magazine     Hybrid Journal   (Followers: 11)
IEEE Spectrum     Full-text available via subscription   (Followers: 221)
IEEE Technology and Society Magazine     Full-text available via subscription   (Followers: 8)
IEEE Transactions on Advanced Packaging     Full-text available via subscription   (Followers: 8)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 79)
IEEE Transactions on Applied Superconductivity     Hybrid Journal   (Followers: 5)
IEEE Transactions on Automation Science and Engineering     Full-text available via subscription   (Followers: 13)
IEEE Transactions on Autonomous Mental Development     Hybrid Journal   (Followers: 8)
IEEE Transactions on Biomedical Engineering     Hybrid Journal   (Followers: 35)
IEEE Transactions on Broadcasting     Hybrid Journal   (Followers: 11)
IEEE Transactions on Circuits and Systems II: Express Briefs     Hybrid Journal   (Followers: 20)
IEEE Transactions on Components and Packaging Technologies     Full-text available via subscription   (Followers: 17)
IEEE Transactions on Control Systems Technology     Hybrid Journal   (Followers: 111)
IEEE Transactions on Education     Hybrid Journal   (Followers: 11)
IEEE Transactions on Electronics Packaging Manufacturing     Hybrid Journal   (Followers: 21)
IEEE Transactions on Energy Conversion     Hybrid Journal   (Followers: 16)
IEEE Transactions on Engineering Management     Hybrid Journal   (Followers: 74)

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Similar Journals
Journal Cover
IEEE Reviews in Biomedical Engineering
Journal Prestige (SJR): 1.616
Citation Impact (citeScore): 7
Number of Followers: 19  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1937-3333
Published by IEEE Homepage  [228 journals]
  • Frontcover

    • Free pre-print version: Loading...

      Abstract: Presents the front cover for this issue of the publication.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • IEEE Engineering in Medicine and Biology Society

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      Abstract: Provides a listing of current staff, committee members and society officers.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • IEEE Reviews in Biomedical Engineering (R-BME)

    • Free pre-print version: Loading...

      Abstract: Provides a listing of current committee members and society officers.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Editorial: A Message From the Outgoing Editor-in-Chief

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      Authors: Yuan-Ting Zhang;
      Pages: 3 - 3
      Abstract: Presents the editorial for this issue of the publication.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Review on Biomedical Sensors, Technologies and Algorithms for Diagnosis of
           Sleep Disordered Breathing: Comprehensive Survey

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      Authors: Sahar Ahmadzadeh;Jikui Luo;Richard Wiffen;
      Pages: 4 - 22
      Abstract: This paper provides a comprehensive review of available technologies for measurements of vital physiology related parameters that cause sleep disordered breathing (SDB). SDB is a chronic disease that may lead to several health problems and increase the risk of high blood pressure and even heart attack. Therefore, the diagnosis of SDB at an early stage is very important. The essential primary step before diagnosis is measurement. Vital health parameters related to SBD might be measured through invasive or non-invasive methods. Nowadays, with respect to increase in aging population, improvement in home health management systems is needed more than even a decade ago. Moreover, traditional health parameter measurement techniques such as polysomnography are not comfortable and introduce additional costs to the consumers. Therefore, in modern advanced self-health management devices, electronics and communication science are combined to provide appliances that can be used for SDB diagnosis, by monitoring a patient’s physiological parameters with more comfort and accuracy. Additionally, development in machine learning algorithms provides accurate methods of analysing measured signals. This paper provides a comprehensive review of measurement approaches, data transmission, and communication networks, alongside machine learning algorithms for sleep stage classification, to diagnose SDB.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Low Power Bio-Impedance Sensor Interfaces: Review and Electronics Design
           Methodology

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      Authors: Jiawei Xu;Zhiliang Hong;
      Pages: 23 - 35
      Abstract: Assessing blood flow, respiration patterns, and body composition with wearable and noninvasive bio-impedance (BioZ) sensors has distinctive advantages over the conventional clinical practice. The merits of BioZ sensors derive from having long-term monitoring capability and improved user friendliness. These open up the way to build medical grade wearable devices for chronic conditions. Low power, high precision BioZ sensor interface IC is the heart of such devices, it also determines the signal integrity of the overall system. Nevertheless, electrical design challenges from both circuit and system perspective still need to be addressed. This paper reviews the pioneering BioZ interface ICs and systems, and proposes major electrical specifications for wearable BioZ sensors. System design methodologies and circuit optimization techniques are summarized as guidelines to develop the next generation BioZ interface electronics.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Recent Trends, Construction, and Applications of Smart Textiles and
           Clothing for Monitoring of Health Activity: A Comprehensive
           Multidisciplinary Review

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      Authors: Jan Kubicek;Klara Fiedorova;Dominik Vilimek;Martin Cerny;Marek Penhaker;Miroslav Janura;Jiri Rosicky;
      Pages: 36 - 60
      Abstract: In the area of biomedical signal monitoring, wearable electronics represents a dynamically growing field with a significant impact on the market of commercial products of biomedical signal monitoring and acquisition, as well as consumer electronic for vital functions monitoring. Since the electrodes are perceived as one of the most important part of the biomedical signal monitoring, they have been one of the most frequent subjects in the research community. Electronic textile (e-textile), also called smart textile represents a modern trend in the wearable electronics, integrating of functional materials with common clothing with the goal to realize the devices, which include sensors, antennas, energy harvesters and advanced textiles for self-cooling and heating. The area of textile electrodes and e-textile is perceived as a multidisciplinary field, integrating material engineering, chemistry, and biomedical engineering. In this review, we provide a comprehensive view on this area. This multidisciplinary review integrates the e-textile characteristics, materials and manufacturing of the textile electrodes, noise influence on the e-textiles performance, and mainly applications of the textile electrodes for biomedical signal monitoring and acquisition, including pressure sensors, electrocardiography, electromyography, electroencephalography and electrooculography monitoring.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic
           Diseases

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      Authors: Wei Jiang;Sumit Majumder;Samarth Kumar;Sophini Subramaniam;Xiaohe Li;Ridha Khedri;Tapas Mondal;Mansour Abolghasemian;Imran Satia;M. Jamal Deen;
      Pages: 61 - 84
      Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic since early 2020. The coronavirus disease 2019 (COVID-19) has already caused more than three million deaths worldwide and affected people's physical and mental health. COVID-19 patients with mild symptoms are generally required to self-isolate and monitor for symptoms at least for 14 days in the case the disease turns towards severe complications. In this work, we overviewed the impact of COVID-19 on the patients' general health with a focus on their cardiovascular, respiratory and mental health, and investigated several existing patient monitoring systems. We addressed the limitations of these systems and proposed a wearable telehealth solution for monitoring a set of physiological parameters that are critical for COVID-19 patients such as body temperature, heart rate, heart rate variability, blood oxygen saturation, respiratory rate, blood pressure, and cough. This physiological information can be further combined to potentially estimate the lung function using artificial intelligence (AI) and sensor fusion techniques. The prototype, which includes the hardware and a smartphone app, showed promising results with performance comparable to or better than similar commercial devices, thus potentially making the proposed system an ideal wearable solution for long-term monitoring of COVID-19 patients and other chronic diseases.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition:
           A Survey

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      Authors: Shuo Jiang;Peiqi Kang;Xinyu Song;Benny P.L. Lo;Peter B. Shull;
      Pages: 85 - 102
      Abstract: Hands are vital in a wide range of fundamental daily activities, and neurological diseases that impede hand function can significantly affect quality of life. Wearable hand gesture interfaces hold promise to restore and assist hand function and to enhance human-human and human-computer communication. The purpose of this review is to synthesize current novel sensing interfaces and algorithms for hand gesture recognition, and the scope of applications covers rehabilitation, prosthesis control, exoskeletons for augmentation, sign language recognition, human-computer interaction, and user authentication. Results showed that electrical, mechanical, acoustical/vibratory, and optical sensing were the primary input modalities in gesture recognition interfaces. Two categories of algorithms were identified: 1) classification algorithms for predefined, fixed hand poses and 2) regression algorithms for continuous finger and wrist joint angles. Conventional machine learning algorithms, including linear discriminant analysis, support vector machines, random forests, and non-negative matrix factorization, have been widely used for a variety of gesture recognition applications, and deep learning algorithms have more recently been applied to further facilitate the complex relationship between sensor signals and multi-articulated hand postures. Future research should focus on increasing recognition accuracy with larger hand gesture datasets, improving reliability and robustness for daily use outside of the laboratory, and developing softer, less obtrusive interfaces.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Respiratory Monitoring: Current State of the Art and Future Roads

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      Authors: Ian Costanzo;Devdip Sen;Lawrence Rhein;Ulkuhan Guler;
      Pages: 103 - 121
      Abstract: In this article, we present current methodologies, available technologies, and demands for monitoring various respiratory parameters. We discuss the importance of noninvasive techniques for remote and continuous monitoring and challenges involved in the current “smart and connected health” era. We conducted an extensive literature review on the medical significance of monitoring respiratory vital parameters, along with the current methods and solutions with their respective advantages and disadvantages. We discuss the challenges of developing a noninvasive, wearable, wireless system that continuously monitors respiration parameters and opportunities in the field and then determine the requirements of a state-of-the-art system. Noninvasive techniques provide a significant amount of medical information for a continuous patient monitoring system. Contact methods offer more advantages than non-contact methods; however, reducing the size and power of contact methods is critical for enabling a wearable, wireless medical monitoring system. Continuous and accurate remote monitoring, along with other physiological data, can help caregivers improve the quality of care and allow patients greater freedom outside the hospital. Such monitoring systems could lead to highly tailored treatment plans, shorten patient stays at medical facilities, and reduce the cost of treatment.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Nanoparticle Enhanced Optical Biosensing Technologies for Prostate
           Specific Antigen Biomarker Detection

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      Authors: Ahmad Usman;
      Pages: 122 - 137
      Abstract: Prostate Cancer (PCa) is one of the deadliest forms of Cancer among men. Early screening process for PCa is primarily conducted with the help of a FDA approved biomarker known as Prostate Specific Antigen (PSA). The PSA-based screening is challenged with the inability to differentiate between the cancerous PSA and Benign Prostatic Hyperplasia (BPH), resulting in high rates of false-positives. Optical techniques such as optical absorbance, scattering, surface plasmon resonance (SPR), and fluorescence have been extensively employed for Cancer diagnostic applications. One of the most important diagnostic applications involves utilization of nanoparticles (NPs) for highly specific, sensitive, rapid, multiplexed, and high performance Cancer detection and quantification. The incorporation of NPs with these optical biosensing techniques allow realization of low cost, point-of-care, highly sensitive, and specific early cancer detection technologies, especially for PCa. In this work, the current state-of-the-art, challenges, and efforts made by the researchers for realization of low cost, point-of-care (POC), highly sensitive, and specific NP enhanced optical biosensing technologies for PCa detection using PSA biomarker are discussed and analyzed.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Noninvasive Continuous Blood Pressure Estimation From Pulse Transit Time:
           A Review of the Calibration Models

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      Authors: Daniel Barvik;Martin Cerny;Marek Penhaker;Norbert Noury;
      Pages: 138 - 151
      Abstract: Noninvasive continuous blood pressure estimation is a promising alternative to minimally invasive blood pressure measurement using cuff and invasive catheter measurement, because it opens the way to both long-term and continuous blood pressure monitoring in ecological situation. The most current estimation algorithm is based on pulse transit time measurement where at least two measured signals need to be acquired. From the pulse transit time values, it is possible to estimate the continuous blood pressure for each cardiac cycle. This measurement highly depends on arterial properties which are not easily accessible with common measurement techniques; but these properties are needed as input for the estimation algorithm. With every change of input arterial properties, the error in the blood pressure estimation rises, thus a periodic calibration procedure is needed for error minimization. Recent research is focused on simplified constant arterial properties which are not constant over time and uses only linear model based on initial measurement. The elaboration of continuous calibration procedures, independent of recalibration measurement, is the key to improving the accuracy and robustness of noninvasive continuous blood pressure estimation. However, most models in literature are based on linear approximation and we discuss here the need for more complete calibration models.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Artificial Intelligence Based Blood Pressure Estimation From Auscultatory
           and Oscillometric Waveforms: A Methodological Review

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      Authors: Ahmadreza Argha;Branko G. Celler;Nigel H. Lovell;
      Pages: 152 - 168
      Abstract: Cardiovascular disease is known as the number one cause of death globally, with elevated blood pressure (BP) being the single largest risk factor. Hence, BP is an important physiological parameter used as an indicator of cardiovascular health. The use of automated non-invasive blood pressure (NIBP) measurement devices is growing, as they can be used without expertise and BP measurement can be performed by patients at home. Non-invasive cuff-based monitoring is the dominant method for BP measurement. While the oscillometric technique is most common, some automated NIBP measurement methods have been developed based on the auscultatory technique. By utilizing (relatively) large BP data annotated by experts, models can be trained using machine learning and statistical concepts to develop novel NIBP estimation algorithms. Amongst artificial intelligence (AI) techniques, deep learning has received increasing attention in different fields due to its strength in data classification and feature extraction problems. This paper reviews AI-based BP estimation methods with a focus on recent advances in deep learning-based approaches within the field. Various architectures and methodologies proposed todate are discussed to clarify their strengths and weaknesses. Based on the literature reviewed, deep learning brings plausible benefits to the field of BP estimation. We also discuss some limitations which can hinder the widespread adoption of deep learning in the field and suggest frameworks to overcome these challenges.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Non-Invasive Methods for PWV Measurement in Blood Vessel Stiffness
           Assessment

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      Authors: Giorgia Fiori;Fabio Fuiano;Andrea Scorza;Silvia Conforto;Salvatore Andrea Sciuto;
      Pages: 169 - 183
      Abstract: In recent years, statistical studies highlighted an increasing incidence of cardiovascular diseases (CVD) which reflected on additional costs on the healthcare systems worldwide. Pulse wave velocity (PWV) measurement is commonly considered a CVD predictor factor as well as a marker of Arterial Stiffness (AS) since it is closely related to the mechanical characteristics of the arterial wall. An increase in PWV is due to a more rigid arterial system. Because of the prevalence of the elastic component, in young people the PWV is lower than in the elderly. Nowadays, invasive and non-invasive methods for PWV assessment are employed: there is an increasing attention in the development of non-invasive devices which mostly perform a regional PWV measurement (over a long arterial portion) rather than local (over a short arterial portion). The accepted gold-standard for non-invasive AS measurement is the carotid-femoral PWV used to evaluate the arterial damage, the corresponding cardiovascular risk and to adapt the proper therapy. This review article considers the main commercially available devices underlining their operating principles in terms of sensors, execution mode, pulse waveforms acquired, site of measurement, distance and time estimation methods, as well as their main limitations in clinical practice.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • A Survey on State-of-the-Art Denoising Techniques for Brain Magnetic
           Resonance Images

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      Authors: Pranaba K. Mishro;Sanjay Agrawal;Rutuparna Panda;Ajith Abraham;
      Pages: 184 - 199
      Abstract: The accuracy of the magnetic resonance (MR) image diagnosis depends on the quality of the image, which degrades mainly due to noise and artifacts. The noise is introduced because of erroneous imaging environment or distortion in the transmission system. Therefore, denoising methods play an important role in enhancing the image quality. However, a tradeoff between denoising and preserving the structural details is required. Most of the existing surveys are conducted on a specific MR image modality or on limited denoising schemes. In this context, a comprehensive review on different MR image denoising techniques is inevitable. This survey suggests a new direction in categorizing the MR image denoising techniques. The categorization of the different image models used in medical image processing serves as the basis of our classification. This study includes recent improvements on deep learning-based denoising methods alongwith important traditional MR image denoising methods. The major challenges and their scope of improvement are also discussed. Further, many more evaluation indices are considered for a fair comparison. An elaborate discussion on selecting appropriate method and evaluation metric as per the kind of data is presented. This study may encourage researchers for further work in this domain.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Monitoring and Synchronization of Cardiac and Respiratory Traces in
           Magnetic Resonance Imaging: A Review

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      Authors: Martina Ladrova;Radek Martinek;Jan Nedoma;Pavla Hanzlikova;Michael Douglas Nelson;Radana Kahankova;Jindrich Brablik;Jakub Kolarik;
      Pages: 200 - 221
      Abstract: Synchronization of human vital signs, namely the cardiac cycle and respiratory excursions, is necessary during magnetic resonance imaging of the cardiovascular system and the abdominal cavity to achieve optimal image quality with minimized artifacts. This review summarizes techniques currently available in clinical practice, as well as methods under development, outlines the benefits and disadvantages of each approach, and offers some unique solutions for consideration.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Texture Analysis and Its Applications in Biomedical Imaging: A Survey

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      Authors: Maryam Khaksar Ghalati;Ana Nunes;Hugo Ferreira;Pedro Serranho;Rui Bernardes;
      Pages: 222 - 246
      Abstract: Texture analysis describes a variety of image analysis techniques that quantify the variation in intensity and pattern. This paper provides an overview of several texture analysis approaches addressing the rationale supporting them, their advantages, drawbacks, and applications. This survey’s emphasis is in collecting and categorising over five decades of active research on texture analysis. Brief descriptions of different approaches are presented along with application examples. From a broad range of texture analysis applications, this survey’s final focus is on biomedical image analysis. An up-to-date list of biological tissues and organs in which disorders produce texture changes that may be used to spot disease onset and progression is provided. Finally, the role of texture analysis methods as biomarkers of disease is summarised.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • DICOM Integration Libraries for Medical Image Interoperability: A
           Technical Review

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      Authors: Manisha Mantri;Shruti Taran;Gaur Sunder;
      Pages: 247 - 259
      Abstract: Medical images support diagnostic care and research in medicine. The acquisition and availability of medical images in digital form can facilitate quick diagnosis, ease of access, continuity of care, analysis and contribute to modern medical research. Digital Imaging and Communications in Medicine (DICOM) is a universal standard that promises standardized representation and exchange of medical images and related information from various radiological and waveform sources. DICOM software development kits or tools or libraries make it easier to implement DICOM standard in healthcare applications. There are several such API libraries available from different providers that promise DICOM integration. In this paper, we explore available DICOM API libraries and conduct a comparative study between a set of selected libraries on the four major criteria (DICOM features, technical aspects, the robustness of the library, and the level of user support available). The aim is to provide a complete picture of options available that can help in finding a best-fit open-source DICOM standard integration API library for developing standardized and interoperable healthcare applications.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Challenges to the Development of the Next Generation of Self-Reporting
           Cardiovascular Implantable Medical Devices

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      Authors: Antonia Molloy;Kirsten Beaumont;Ali Alyami;Mahmut Kirimi;Daniel Hoare;Nosrat Mirzai;Hadi Heidari;Srinjoy Mitra;Steve L. Neale;John R. Mercer;
      Pages: 260 - 272
      Abstract: Cardiovascular disease (CVD) is a group of heart and vasculature conditions which are the leading form of mortality worldwide. Blood vessels can become narrowed, restricting blood flow, and drive the majority of hearts attacks and strokes. Reactive surgical interventions are frequently required; including percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG). Despite successful opening of vessels and restoration of blood flow, often in-stent restenosis (ISR) and graft failure can still occur, resulting in subsequent patient morbidity and mortality. A new generation of cardiovascular implants that have sensors and real-time monitoring capabilities are being developed to combat ISR and graft failure. Self-reporting stent/graft technology could enable precision medicine-based and predictive healthcare by detecting the earliest features of disease, even before symptoms occur. Bringing an implantable medical device with wireless electronic sensing capabilities to market is complex and often obstructive undertaking. This critical review analyses the obstacles that need to be overcome for self-reporting stents/grafts to be developed and provide a precision-medicine based healthcare for cardiovascular patients. Here we assess the latest research and technological advancement in the field, the current devices; including smart cardiovascular implantable biosensors and associated wireless data and power transfer solutions. We include an evaluation of devices that have reached clinical trials and the market potential for their end-user implementation.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • External Cardiac Loop Recorders: Functionalities, Diagnostic Efficacy,
           Challenges and Opportunities

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      Authors: Rama Reddy Rajanna;Natarajan Sriraam;V. S. Prakash;Prabhu Ravikala Vittala;Uma Arun;Sarthak Sahoo;
      Pages: 273 - 292
      Abstract: According to the World Health Organization's (WHO) report of 2016, cardiovascular diseases (CVDs) accounted for mortality of an estimated 17.9 million people globally. Of these deaths, 85% were due to myocardial infarction and stroke. Further, the pre-dominant atrial fibrillation (AF) arrhythmia has been the most suspected underlying cause of transient ischemic attack or stroke. Thus, the etiologies of early symptoms like syncope and palpitations in patients needs to be evaluated by employing proper diagnostic tests to make early treatment decisions. The most widely referred 24 to 48 hour Holter electrocardiographic (ECG) monitoring tests have not been proved to be much effective in recognizing infrequent intermittent arrhythmic episodes. These drawbacks have led to the development of long-term ambulatory ECG (AECG) monitoring devices. This review reports the state-of-the-art existing AECG monitoring devices and their role of long-term ECG recording in patients suspected with cardiac syncope and palpitations to understand the underlying arrhythmic cause, as well as in the diagnosis and management of AF. Primarily, the utility and diagnostic yield of external cardiac recorders or event loop recorders (ELRs) in capturing the symptom-rhythm correlation which constitutes a clinically useful recordings of heart's electrical activity during infrequent arrhythmic conditions was critically reviewed. Furthermore, a brief case study on challenges involved in clinical data acquisition at a cardiac care unit using ambulatory external monitoring device has been presented. Finally, improvements in design engineering and algorithmic developments to enhance the diagnostic yield and usability of ELRs in clinical settings have been proposed.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Recent Advances in Atherosclerotic Disease Screening Using Pervasive
           Healthcare

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      Authors: Jingjing Luo;Zhengrong Yan;Shijie Guo;Wei Chen;
      Pages: 293 - 308
      Abstract: Atherosclerosis screening helps the medical model transform from therapeutic medicine to preventive medicine by assessing degree of atherosclerosis prior to the occurrence of fatal vascular events. Pervasive screening emphasizes atherosclerotic monitoring with easy access, quick process, and advanced computing. In this work, we introduced five cutting-edge pervasive technologies including imaging photoplethysmography (iPPG), laser Doppler, radio frequency (RF), thermal imaging (TI), optical fiber sensing and piezoelectric sensor. IPPG measures physiological parameters by using video images that record the subtle skin color changes consistent with cardiac-synchronous blood volume changes in subcutaneous arteries and capillaries. Laser Doppler obtained the information on blood flow by analyzing the spectral components of backscattered light from the illuminated tissues’ surface. RF is based on Doppler shift caused by the periodic movement of the chest wall induced by respiration and heartbeat. TI measures vital signs by detecting electromagnetic radiation emitted by blood flow. The working principle of optical fiber sensor is to detect the change of light properties caused by the interaction between the measured physiological parameter and the entering light. Piezoelectric sensors are based on the piezoelectric effect of dielectrics. All these pervasive technologies are noninvasive, mobile, and can detect physiological parameters related to atherosclerosis screening.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Multiphysics Computational Modelling of the Cardiac Ventricles

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      Authors: Azam Ahmad Bakir;Amr Al Abed;Nigel H. Lovell;Socrates Dokos;
      Pages: 309 - 324
      Abstract: Development of cardiac multiphysics models has progressed significantly over the decades and simulations combining multiple physics interactions have become increasingly common. In this review, we summarise the progress in this field focusing on various approaches of integrating ventricular structures. electrophysiological properties, myocardial mechanics, as well as incorporating blood hemodynamics and the circulatory system. Common coupling approaches are discussed and compared, including the advantages and shortcomings of each. Currently used strategies for patient-specific implementations are highlighted and potential future improvements considered.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • A Survey on Mathematical, Machine Learning and Deep Learning Models for
           COVID-19 Transmission and Diagnosis

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      Authors: J. Christopher Clement;VijayaKumar Ponnusamy;K.C. Sriharipriya;R. Nandakumar;
      Pages: 325 - 340
      Abstract: COVID-19 is a life threatening disease which has a enormous global impact. As the cause of the disease is a novel coronavirus whose gene information is unknown, drugs and vaccines are yet to be found. For the present situation, disease spread analysis and prediction with the help of mathematical and data driven model will be of great help to initiate prevention and control action, namely lockdown and qurantine. There are various mathematical and machine-learning models proposed for analyzing the spread and prediction. Each model has its own limitations and advantages for a particluar scenario. This article reviews the state-of-the art mathematical models for COVID-19, including compartment models, statistical models and machine learning models to provide more insight, so that an appropriate model can be well adopted for the disease spread analysis. Furthermore, accurate diagnose of COVID-19 is another essential process to identify the infected person and control further spreading. As the spreading is fast, there is a need for quick auotomated diagnosis mechanism to handle large population. Deep-learning and machine-learning based diagnostic mechanism will be more appropriate for this purpose. In this aspect, a comprehensive review on the deep learning models for the diagnosis of the disease is also provided in this article.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • Uterus Modeling From Cell to Organ Level: Towards Better Understanding of
           Physiological Basis of Uterine Activity

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      Authors: Yuhang Xu;Haipeng Liu;Dongmei Hao;Michael Taggart;Dingchang Zheng;
      Pages: 341 - 353
      Abstract: The relatively limited understanding of the physiology of uterine activation prevents us from achieving optimal clinical outcomes for managing serious pregnancy disorders such as preterm birth or uterine dystocia. There is increasing awareness that multi-scale computational modeling of the uterus is a promising approach for providing a qualitative and quantitative description of uterine physiology. The overarching objective of such approach is to coalesce previously fragmentary information into a predictive and testable model of uterine activity that, in turn, informs the development of new diagnostic and therapeutic approaches to these pressing clinical problems. This article assesses current progress towards this goal. We summarize the electrophysiological basis of uterine activation as presently understood and review recent research approaches to uterine modeling at different scales from single cell to tissue, whole organ and organism with particular focus on transformative data in the last decade. We describe the positives and limitations of these approaches, thereby identifying key gaps in our knowledge on which to focus, in parallel, future computational and biological research efforts.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
  • The Promise of Clinical Decision Support Systems Targetting Low-Resource
           Settings

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      Authors: Dani Kiyasseh;Tingting Zhu;David Clifton;
      Pages: 354 - 371
      Abstract: Low-resource clinical settings are plagued by low physician-to-patient ratios and a shortage of high-quality medical expertise and infrastructure. Together, these phenomena lead to over-burdened healthcare systems that under-serve the needs of the community. Alleviating this burden can be undertaken by the introduction of clinical decision support systems (CDSSs); systems that support stakeholders (ranging from physicians to patients) within the clinical setting in their day-to-day activities. Such systems, which have proven to be effective in the developed world, remain to be under-explored in low-resource settings. This review attempts to summarize the research focused on clinical decision support systems that either target stakeholders within low-resource clinical settings or diseases commonly found in such environments. When categorizing our findings according to disease applications, we find that CDSSs are predominantly focused on dealing with bacterial infections and maternal care, do not leverage deep learning, and have not been evaluated prospectively. Together, these highlight the need for increased research in this domain in order to impact a diverse set of medical conditions and ultimately improve patient outcomes.
      PubDate: 2022
      Issue No: Vol. 15 (2022)
       
 
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