A Novel Scheme for High-Accuracy Frequency Estimation in Non-Contact Heart Rate Detection Based on Multi-Dimensional Accumulation and FIIB

This paper proposes a novel heart rate detection scheme to address key challenges in millimeter-wave radar-based vital sign monitoring, including weak signals, various types of interference, and the demand for high-precision and super-resolution frequency estimation under practical computational con...

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Published inSensors (Basel, Switzerland) Vol. 25; no. 16; p. 5097
Main Authors Tang, Shiqing, Liu, Yunxue, Wang, Jinwei, Wu, Shie, Dong, Xuefei, Zhou, Min
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 16.08.2025
MDPI
Subjects
Accuracy
Algorithms
Chronic illnesses
Chronic obstructive pulmonary disease
Digital signal processors
Energy
Heart rate
Methods
Respiration
Signal processing
Wavelet transforms
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Summary:This paper proposes a novel heart rate detection scheme to address key challenges in millimeter-wave radar-based vital sign monitoring, including weak signals, various types of interference, and the demand for high-precision and super-resolution frequency estimation under practical computational constraints. First, we propose a multi-dimensional coherent accumulation (MDCA) method to enhance the signal-to-noise ratio (SNR) by fully utilizing both spatial information from multiple receiving channels and temporal information from adjacent range bins. Additionally, we are the first to apply the fast iterative interpolated beamforming (FIIB) algorithm to radar-based heart rate detection, enabling super-resolution frequency estimation with low computational complexity. Compared to the traditional fast Fourier transform (FFT) method, the FIIB achieves an improvement of 1.08 beats per minute (bpm). A reordering strategy is also introduced to mitigate potential misjudgments by FIIB. Key parameters of FIIB, including the number of frequency components L and the number of iterations Q, are analyzed and recommended. Dozens of subjects were recruited for experiments, and the root mean square error (RMSE) of heart rate estimation was less than 1.12 bpm on average at a distance of 1 m. Extensive experiments validate the high accuracy and robust performance of the proposed framework in heart rate estimation.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s25165097