Literature DB >> 31634841

Electrocardiogram and Phonocardiogram Monitoring System for Cardiac Auscultation.

Shuenn-Yuh Lee, Peng-Wei Huang, Jia-Ren Chiou, Chieh Tsou, Yu-Yi Liao, Ju-Yi Chen.   

Abstract

Heart-sound auscultation is a rapid and fundamental technique used for examining the cardiovascular system. The main components of heart sounds are the first and second heart sounds. Discriminating these heart sounds under the presence of additional heart sounds and murmurs will be difficult. To recognize these signals efficiently, this study proposes a monitoring system with phonocardiogram and electrocardiogram. This system has two key points. The first is chip implementation, including capacitor coupled amplifier, transimpedance amplifier, high-pass sigma-delta modulator, and digital signal processing block. The chip in the system is fabricated in 0.18 μm standard complementary metal-oxide-semiconductor process. The second is a software application on smartphones for heart-related physiological signal recording, display, and identification. A wavelet-based QRS complex detection algorithm verified by MIT/BIH Arrhythmia Database is also proposed. The overall measured positive prediction, sensitivity, and error rate of the proposed algorithm are 99.90%, 99.82%, and 0.28%, respectively. During auscultation, doctors may refer to these physiological signals displayed on the smartphone and simultaneously listen to the heart sounds to diagnose the potential heart disease. By taking advantage of signal visualization and keeping the original diagnosis procedure, the uncertainty existing in heart sounds can be eliminated, and the training period to acquire auscultation skills can be reduced.

Entities:  

Year:  2019        PMID: 31634841     DOI: 10.1109/TBCAS.2019.2947694

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  3 in total

1.  The Recognition Method of Athlete Exercise Intensity Based on ECG and PCG.

Authors:  Baiyang Wang; Haiyan Zhu
Journal:  Comput Math Methods Med       Date:  2022-05-30       Impact factor: 2.809

2.  Assessing Hemorrhagic Shock Severity Using the Second Heart Sound Determined from Phonocardiogram: A Novel Approach.

Authors:  Yan Chen; Aisheng Hou; Xiaodong Wu; Ting Cong; Zhikang Zhou; Youyou Jiao; Yungen Luo; Yuheng Wang; Weidong Mi; Jiangbei Cao
Journal:  Micromachines (Basel)       Date:  2022-06-28       Impact factor: 3.523

3.  Estimation of systolic blood pressure by Random Forest using heart sounds and a ballistocardiogram.

Authors:  Rafael Gonzalez-Landaeta; Brenda Ramirez; Jose Mejia
Journal:  Sci Rep       Date:  2022-10-13       Impact factor: 4.996

  3 in total

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