Heart Rate Demodulation System for BCG Signal Analysis

In order to achieve portable heart rate signal acquisition and analysis, and to benchmark the precision of electrocardiogram testing, a heart rate demodulation system based on fiber optic sensing is proposed. The heart impact signal of the tester is obtained through an FBG sensor, which is encapsulated in a flexible silicone sheet. The cardiac shock signal obtained from the test is used to invert the spectral shape of heart rate through the HRV algorithm. The calculation relationships of multiple parameters such as overall variability, short-term variability, and power spectral density were derived. The experimental test results show that quantitative analysis of JJ interval can effectively calculate heart rate values with an accuracy of ± 1bpm. It compared the distribution range of core parameters. Statistical analysis of test data can obtain a histogram of JJ intervals. From the distribution of the histogram, it can be seen that the test data has good stability. It validates the feasibility of this algorithm.

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Publication Details

Journal
Journal of Precision Instrument and Machinery
Published
2025-01-01
DOI
https://doi.org/10.23977/jpim.2025.050107
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00

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article

Heart Rate Demodulation System for BCG Signal Analysis

Journal of Precision Instrument and Machinery
Geochemistry and Geologic Mapping
article

Heart Rate Demodulation System for BCG Signal Analysis

article en

Abstract

In order to achieve portable heart rate signal acquisition and analysis, and to benchmark the precision of electrocardiogram testing, a heart rate demodulation system based on fiber optic sensing is proposed. The heart impact signal of the tester is obtained through an FBG sensor, which is encapsulated in a flexible silicone sheet. The cardiac shock signal obtained from the test is used to invert the spectral shape of heart rate through the HRV algorithm. The calculation relationships of multiple parameters such as overall variability, short-term variability, and power spectral density were derived. The experimental test results show that quantitative analysis of JJ interval can effectively calculate heart rate values with an accuracy of ± 1bpm. It compared the distribution range of core parameters. Statistical analysis of test data can obtain a histogram of JJ intervals. From the distribution of the histogram, it can be seen that the test data has good stability. It validates the feasibility of this algorithm.

Journal of Precision Instrument and MachineryVol. 5(1)
Changchun University of Science and Technology (CN)
Natural Science Foundation of Jilin Province
Openalex Percentile: Top 71%
Geochemistry and Geologic Mapping
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