A study of heart sound and lung sound separation by independent component analysis technique.
In the hospital, using percussion and auscultation are the most common ways for physical examination. Recently, in order to develop tele-medicine and home care system and to assist physician getting better auscultation results; electric stethoscope and computer analysis have become an inevitable trend. However, two important physical signals heart sound and lung sound recorded from chest overlap on spectrum chart. Therefore, in order to reduce human factor (ex. misplace or untrained of using) and minimize correlated effect in computer analysis; it's necessary for separated heart sound and lung sound. Independent component analysis can divide these sounds efficiency. In this paper, we use two microphones to collect signals from left and right chest. We have successfully divide heart and lung sounds by fast ICA algorithm. Therefore, it can assist physician examine and also using on tele-medicine and home care by this way.
Chien
Jen-Chien
JC
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, ROC.
Huang
Ming-Chuan
MC
Lin
Yue-Der
YD
Chong
Fok-ching
FC
D000465:Algorithms; D001314:Auscultation; D003627:Data Interpretation, Statistical; D004867:Equipment Design; D006321:Heart / Q000033:anatomy & histology; D006347:Heart Sounds; D006801:Humans; D008168:Lung / Q000033:anatomy & histology; D015233:Models, Statistical; D010808:Physical Examination; D012135:Respiratory Sounds; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013018:Sound Spectrography; D019023:Stethoscopes