Paper
6 May 2024 J peaks detection for ballistocardiography based on autocorrelation and dual-threshold
Ruihao Ma, Qin Wei
Author Affiliations +
Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131071S (2024) https://doi.org/10.1117/12.3029454
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China
Abstract
Ballistocardiography (BCG) is a non-contact method of detecting cardiac activity that measures changes in external pressure caused by heartbeats and arterial blood circulation. In this study, BCG signals were collected using a micro-bend fiber sensor along with Electrocardiography (ECG) as a reference signal. A heart rate detection algorithm based on autocorrelation and a dual-threshold J peaks detection algorithm were proposed to achieve real-time detection of heart rates and accurate detection of J peaks. Additionally, signals from six healthy adult subjects were collected to evaluate the effectiveness of the algorithms by comparing the differences between ECG and BCG in heart rate detection and ECG R-peaks and BCG J peaks detection. Results showed that the accuracy of the autocorrelation-based heart rate detection algorithm reached 99.77% and the accuracy of the dual-threshold J peaks detection algorithm reached 98.03%.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ruihao Ma and Qin Wei "J peaks detection for ballistocardiography based on autocorrelation and dual-threshold", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131071S (6 May 2024); https://doi.org/10.1117/12.3029454
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KEYWORDS
Heart

Signal detection

Electrocardiography

Detection and tracking algorithms

Signal processing

Windows

Autocorrelation

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