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Design of a Heart Sound Extraction Algorithm for an Acoustic-Based Health Monitoring System

機(jī)譯：基于聲學(xué)健康監(jiān)測系統(tǒng)的心音提取算法設(shè)計(jì)

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The U.S. Army Research Laboratory is developing sensor technology to monitor the soldier's physiological variables and motor activities by gathering and analyzing acoustic data. The sensor/transducer consists of a fluid or gel contained within a small, conformable. rubber bladder or pad that also includes a hydrophone. This enables the collection of high signal-to-noise-ratio (SNR) cardiac. respiratory, voice, and other physiological data. The pad minimizes interference from ambient noise because it couples poorly with airborne noise. A heart sound interbeat interval extraction algorithm has been developed using only basic concepts and techniques generally known/available to first-semester Discrete-Time Signal Processing course graduates. The algorithm appears to yield good performance in environments where the in-band SNR is greater than roughly 10 dB and no more than one high-energy, in-band noise burst occurs within the timeframe of the IBI extraction 'region of interest.' The algorithm has been shown to be capable of effectively rejecting fairly intense breath sound events. Although no deliberate attempt was made to introduce voice signals into the acoustic environment, most of the energy content of the human voice (above approximately 80 Hz) would be eliminated by the 20- to 50-Hz linear-phase, band- pass filter utilized in this algorithm.

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Murrill, S. R. ; Scanlon, M. V.;
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年度 2002
頁碼 1-63
總頁數(shù) 63
原文格式 PDF
正文語種 eng
中圖分類工業(yè)技術(shù);
關(guān)鍵詞
Health monitoring; Stress(Physiology); Human body; Algorithms; Monitoring; Army personnel; Signal to noise ratio; Hydrophones; Ambient noise; Acoustic data; Heart;

機(jī)譯：健康監(jiān)測;壓力（生理學(xué)）;人體;算法;監(jiān)測;陸軍人員;信噪比;水聽器;環(huán)境噪聲;聲學(xué)數(shù)據(jù);心臟;

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1. ASPECTS REGARDING TO THE DESIGN OF THE FEATURE EXTRACTION ALGORITHMS USED AT STRUCTURAL HEALTH MONITORING SYSTEMS [J] . Diana CAZANGIU, Marina BULMAGA Research and Science Today . 2014,第1期

機(jī)譯：關(guān)于結(jié)構(gòu)健康監(jiān)測系統(tǒng)中特征提取算法設(shè)計(jì)的方面
2. A filter bank-based source extraction algorithm for heart sound removal in respiratory sounds. [J] . Jin F, Sattar F, Goh DY Computers in Biology and Medicine . 2009,第9期

機(jī)譯：基于過濾器庫的源提取算法，用于去除呼吸音中的心音。
3. Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System [J] . Shadman Nashif, Md. Rakib Raihan, Md. Rasedul Islam, World Journal of Engineering and Technology . 2018,第4期

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4. Remote heart sound and lung sound monitoring system design based on ZigBee [C] . Zhang Yi, Chen Sixuan, Wu Jin, BMEI 2012;International Conference on Biomedical Engineering and Informatics . 2012

機(jī)譯：基于ZigBee的遠(yuǎn)程心肺音監(jiān)測系統(tǒng)設(shè)計(jì)
5. Structural health monitoring systems for civil and architectural structures: LVDT-taut-wire baselines, crack monitoring devices, and strain based deflection monitoring algorithms. [D] . Johnson, Gaur P. 2006

機(jī)譯：用于民用和建筑結(jié)構(gòu)的結(jié)構(gòu)健康監(jiān)測系統(tǒng)：LVDT拉緊鋼絲基線，裂縫監(jiān)測設(shè)備以及基于應(yīng)變的變形監(jiān)測算法。
6. A Low-Noise-Level Heart Sound System Based on Novel Thorax-Integration Head Design and Wavelet Denoising Algorithm [O] . Shuo Zhang, Ruiqing Zhang, Shijie Chang, 2019

機(jī)譯：基于新型胸積分頭設(shè)計(jì)和小波去噪算法的低噪聲心音系統(tǒng)
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Design of a Heart Sound Extraction Algorithm for an Acoustic-Based Health Monitoring System

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