Hybrid Signal Processing Framework Based on Second-Order Differentiation and Harmonic Superposition for Non-Contact Heart Rhythm Monitoring

In this article, a novel method was proposed to extract heartbeat information based on a 2<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup> order differential technique complemented by leveraging the elevated strong harmonics of heartbeat in frequency domain signal by superimposing their magnitude to the fundamental frequency. A theoretical analysis of the working principle of the algorithm has been provided, along with a simulation, to demonstrate the algorithm's advantage in the existence of strong respiration harmonics. An experimental analysis was conducted, and the accuracy achieved using the proposed method was 1.47 Bpm for five subjects with a mean average error of over two minutes of collected data.

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Publication Details

Published
2025-04-15
DOI
https://doi.org/10.1109/imbioc63524.2025.10989707
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Hybrid Signal Processing Framework Based on Second-Order Differentiation and Harmonic Superposition for Non-Contact Heart Rhythm Monitoring

Changzhi Li, Syed Doha Uddin, Christopher Williams
Non-Invasive Vital Sign Monitoring
article

Hybrid Signal Processing Framework Based on Second-Order Differentiation and Harmonic Superposition for Non-Contact Heart Rhythm Monitoring

Changzhi Li, Syed Doha Uddin, Christopher Williams
article en

Abstract

In this article, a novel method was proposed to extract heartbeat information based on a 2<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup> order differential technique complemented by leveraging the elevated strong harmonics of heartbeat in frequency domain signal by superimposing their magnitude to the fundamental frequency. A theoretical analysis of the working principle of the algorithm has been provided, along with a simulation, to demonstrate the algorithm's advantage in the existence of strong respiration harmonics. An experimental analysis was conducted, and the accuracy achieved using the proposed method was 1.47 Bpm for five subjects with a mean average error of over two minutes of collected data.

Texas Tech University (US)
Openalex Percentile: Top 90%
Non-Invasive Vital Sign Monitoring
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