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Journal of the Medical Research Institute Journal of the Medical Research
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1110-0133 - ISSN (Online) 2682-2547
Published by Alexandria University Homepage  [2 journals]
  • Automatic Diagnosis of Heart Sounds Using Bark Spectrogram Cepstral

    • Abstract: Auscultation of heart sounds is an essential step for diagnosing heart diseases. Automatic auscultation using computer techniques is used to help physicians in their diagnosing process. Several researches are conducted for analyzing heart sounds using computer techniques. In this paper, new methods of extracting features from heart sounds are presented using Bark spectrogram cepstral coefficients (BSCC) and Mel-spectrogram cepstral coefficients (MSCC). Classification of normal and abnormal heart sounds are based on support vector machine or deep learning neural networks. Database of heart sounds are selected from Physionet challenge database. Signals of heart sounds are detrended and normalized. Then, wavelet transform is applied. After that, energy entropy is calculated. Then BSCC are considered. The classifiers of support vector machine (SVM) and deep learning (DL) with bi-long short term memory (BILSTM) are applied. The maximum obtained accuracy rate of 99.54% is achieved by using BSCC algorithm. The maximum obtained area under curve (AUC) of 0.9846 is achieved when using BSCC algorithm.
      PubDate: Wed, 31 May 2023 22:00:00 +010
  • Role of Soluble CD163 and Monocyte Surface Markers in Hepatitis C Virus
           Infected Patients

    • Abstract: Background: Chronic stimulation of circulating monocytes and macrophages in hepatitis C virus infection can cause CD163 to be realesed into the circulation from their cell surface. Soluble CD163 (sCD163) can be used as a biomarker of macrophage activation, severity of HCV infection and level of inflammation.Objective: In this study we determined the levels of soluble CD163 in HCV infected patients with different clinical outcomes and we correlated them to different biochemical indicators for disease progression and monocytic cell surface markers (CD14, CD16).Methods: Our study was conducted on 60 HCV infected patients:20 patients with chronic HCV infection without cirrhosis; 20 patients with cirrhosis,20 patients with hepatocellular carcinoma and 20 individuals who were healthy controls. Peripheral blood mononuclear cells (PBMCs) were isolated from all subjects and were used in flow cytometric determination of CD14 and CD16 monocytic surface markers . Levels of sCD163 in serum and culture supernatents were determined by enzyme linked immunosorbent assay.Results: Our results demonstrated a significant increase in double positive monocytic cells in patients groups especially those with cirrhosis compared to the control group. Moreover soluble CD163 levels were significantly increased in HCV patients with different clinical outcomes. The relation between serum CD163 and double positive monocytes was shown to be significantly negative. However, there was a substantial positive connection between these monocytic surface markers and mitogen-induced CD163.Conclusion: Our findings suggest that HCV infection tends to upregulate CD163 shedding into circulation with a variety of clinical outcomes, allowing sCD163 to be employed as a biomarker for disease severity in HCV infection.
      PubDate: Tue, 31 May 2022 22:00:00 +010
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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