Ladrova Martina, Barvik Filip, Brablik Jindrich, Jaros Rene, Martinek Radek
Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
PLoS One. 2024 Aug 1;19(8):e0306074. doi: 10.1371/journal.pone.0306074. eCollection 2024.
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.
本文介绍了一种新型多通道心冲击图(BCG)测量系统的验证,该系统能够根据心肌收缩以及动脉因血液排出而扩张期间的运动信息检测心跳。所提出的方法包括基于小波变换和希尔伯特变换的新型传感系统和信号处理程序。由于目前尚无关于BCG传感器放置的建议,该研究重点关注从受试者身体内八个不同位置测量的BCG信号质量的调查。BCG信号分析主要基于心率(HR)计算,为此使用了基于决策过程的J波检测。当所有传感器的平均信号达到高于95%的HR检测灵敏度且两个传感器与心电图(ECG)测量存在显著差异时,通过与作为金标准的心电图进行比较,对所提出的系统进行了评估。