BCG signal of proband 11.

The paper presents a validation of novel multichannel ballistocardiography (BCG) measuring system, enabling heartbeat detection from information about movements during myocardial contraction and dilatation of arteries due to blood expulsion. The proposed methology includes novel sensory system and signal processing procedure based on Wavelet transform and Hilbert transform. Because there are no existing recommendations for BCG sensor placement, the study focuses on investigation of BCG signal quality measured from eight different locations within the subject’s body. The analysis of BCG signals is primarily based on heart rate (HR) calculation, for which a J-wave detection based on decision-making processes was used. Evaluation of the proposed system was made by comparing with electrocardiography (ECG) as a gold standard, when the averaged signal from all sensors reached HR detection sensitivity higher than 95% and two sensors showed a significant difference from ECG measurement.

本论文针对新型多通道心冲击图（ballistocardiography, BCG）测量系统开展了验证工作，该系统可基于血液射出引发的心肌收缩与动脉扩张过程中的运动信息实现心跳检测。所提出的方法涵盖了基于小波变换（Wavelet transform）与希尔伯特变换（Hilbert transform）的新型传感系统与信号处理流程。由于目前尚无BCG传感器布设的相关规范，本研究重点探究了在受试者身体8个不同部位采集的BCG信号质量。BCG信号分析主要围绕心率（heart rate, HR）计算展开，本次研究采用了基于决策流程的J波检测方法。本研究以心电图（electrocardiography, ECG）作为金标准对所提系统进行评估，结果显示，所有传感器的平均信号的HR检测灵敏度高于95%，且其中2个传感器的检测结果与ECG测量值存在显著差异。