Solving variability: Accurately extracting feature components from ballistocardiograms.

ABSTRACT:

Objective

A ballistocardiogram (BCG) is a vibration signal generated by the ejection of the blood in each cardiac cycle. The BCG has significant variability in amplitude, temporal aspects, and the deficiency of waveform components, attributed to individual differences, instantaneous heart rate, and the posture of the person being measured. This variability may make methods of extracting J-waves, the most distinct components of BCG less generalizable so that the J-waves could not be precisely localized, and further analysis is difficult. This study is dedicated to solving the variability of BCG to achieve accurate feature extraction.

Methods

Inspired by the generation mechanism of the BCG, we proposed an original method based on a profile of second-order derivative of BCG wav

SUBMITTER: Yang T 

PROVIDER: S-EPMC11378244 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature