Novel phonocardiography system for heartbeat detection from various locations

被引:8
作者
Jaros, Rene [1 ]
Koutny, Jiri [1 ]
Ladrova, Martina [1 ]
Martinek, Radek [1 ]
机构
[1] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, Dept Cybernet & Biomed Engn, 17 Listopadu, Ostrava 70800, Czech Republic
来源
SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期
关键词
NEURAL-NETWORK CLASSIFICATION; SOUND SEGMENTATION; WAVELET DECOMPOSITION; IDENTIFICATION; 1ST;
D O I
10.1038/s41598-023-41102-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The paper presents evaluation of the proposed phonocardiography (PCG) measurement system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR estimation is performed using electrocardiography (ECG) or pulse wave as one of the fundamental diagnostic methodologies for assessing cardiac function. The system includes novel both sensory part and data processing procedure, which is based on signal preprocessing using Wavelet Transform (WT) and Shannon energy computation and heart sounds classification using K-means. Due to the lack of standardization in the placement of PCG sensors, the study focuses on evaluating the signal quality obtained from 7 different sensor locations on the subject's chest and investigates which locations are most suitable for recording heart sounds. The suitability of sensor localization was examined in 27 subjects by detecting the first two heart sounds (S1, S2). The HR detection sensitivity related to reference ECG from all sensor positions reached values over 88.9 and 77.4% in detection of S1 and S2, respectively. The placement in the middle of sternum showed the higher signal quality with median of the proper S1 and S2 detection sensitivity of 98.5 and 97.5%, respectively.
引用
收藏
页数:16
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