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The Effect of Multi-Directional on Remote Heart Rate Measurement Using PA-LI Joint ICEEMDAN Method with mm-Wave FMCW Radar
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Summary :
Heart rate measurement for mm-wave FMCW radar based on phase analysis comprises a variety of noise. Furthermore, because the breathing and heart frequencies are so close, the harmonic of the breathing signal interferes with the heart rate, and the band-pass filter cannot solve it. On the other hand, because heart rates vary from person to person, it is difficult to choose the basic function of WT (Wavelet Transform). To solve the aforementioned difficulties, we consider performing time-frequency domain analysis on human skin surface displacement data. The PA-LI (Phase Accumulation-Linear Interpolation) joint ICEEMDAN (Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise) approach is proposed in this paper, which effectively enhances the signal's SNR, estimates the heart rate, and reconstructs the heartbeat signal. The experimental findings demonstrate that the proposed method can not only extract heartbeat signals with high SNR from the front direction, but it can also detect heart rate from other directions (e.g., back, left, oblique front, and ceiling).
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.2 pp.159-167
- Publication Date
- 2022/02/01
- Publicized
- 2021/08/02
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021CEP0014
- Type of Manuscript
- Special Section PAPER (Special Section on Emerging Communication Technologies in Conjunction with Main Topics of ICETC2020)
- Category
Authors
Yaokun HU
Nihon University
Takeshi TODA
Nihon University
Keyword
Latest Issue
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Yaokun HU, Takeshi TODA, "The Effect of Multi-Directional on Remote Heart Rate Measurement Using PA-LI Joint ICEEMDAN Method with mm-Wave FMCW Radar" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 2, pp. 159-167, February 2022, doi: 10.1587/transcom.2021CEP0014.
Abstract: Heart rate measurement for mm-wave FMCW radar based on phase analysis comprises a variety of noise. Furthermore, because the breathing and heart frequencies are so close, the harmonic of the breathing signal interferes with the heart rate, and the band-pass filter cannot solve it. On the other hand, because heart rates vary from person to person, it is difficult to choose the basic function of WT (Wavelet Transform). To solve the aforementioned difficulties, we consider performing time-frequency domain analysis on human skin surface displacement data. The PA-LI (Phase Accumulation-Linear Interpolation) joint ICEEMDAN (Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise) approach is proposed in this paper, which effectively enhances the signal's SNR, estimates the heart rate, and reconstructs the heartbeat signal. The experimental findings demonstrate that the proposed method can not only extract heartbeat signals with high SNR from the front direction, but it can also detect heart rate from other directions (e.g., back, left, oblique front, and ceiling).
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021CEP0014/_p
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@ARTICLE{e105-b_2_159,
author={Yaokun HU, Takeshi TODA, },
journal={IEICE TRANSACTIONS on Communications},
title={The Effect of Multi-Directional on Remote Heart Rate Measurement Using PA-LI Joint ICEEMDAN Method with mm-Wave FMCW Radar},
year={2022},
volume={E105-B},
number={2},
pages={159-167},
abstract={Heart rate measurement for mm-wave FMCW radar based on phase analysis comprises a variety of noise. Furthermore, because the breathing and heart frequencies are so close, the harmonic of the breathing signal interferes with the heart rate, and the band-pass filter cannot solve it. On the other hand, because heart rates vary from person to person, it is difficult to choose the basic function of WT (Wavelet Transform). To solve the aforementioned difficulties, we consider performing time-frequency domain analysis on human skin surface displacement data. The PA-LI (Phase Accumulation-Linear Interpolation) joint ICEEMDAN (Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise) approach is proposed in this paper, which effectively enhances the signal's SNR, estimates the heart rate, and reconstructs the heartbeat signal. The experimental findings demonstrate that the proposed method can not only extract heartbeat signals with high SNR from the front direction, but it can also detect heart rate from other directions (e.g., back, left, oblique front, and ceiling).},
keywords={},
doi={10.1587/transcom.2021CEP0014},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - The Effect of Multi-Directional on Remote Heart Rate Measurement Using PA-LI Joint ICEEMDAN Method with mm-Wave FMCW Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 159
EP - 167
AU - Yaokun HU
AU - Takeshi TODA
PY - 2022
DO - 10.1587/transcom.2021CEP0014
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2022
AB - Heart rate measurement for mm-wave FMCW radar based on phase analysis comprises a variety of noise. Furthermore, because the breathing and heart frequencies are so close, the harmonic of the breathing signal interferes with the heart rate, and the band-pass filter cannot solve it. On the other hand, because heart rates vary from person to person, it is difficult to choose the basic function of WT (Wavelet Transform). To solve the aforementioned difficulties, we consider performing time-frequency domain analysis on human skin surface displacement data. The PA-LI (Phase Accumulation-Linear Interpolation) joint ICEEMDAN (Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise) approach is proposed in this paper, which effectively enhances the signal's SNR, estimates the heart rate, and reconstructs the heartbeat signal. The experimental findings demonstrate that the proposed method can not only extract heartbeat signals with high SNR from the front direction, but it can also detect heart rate from other directions (e.g., back, left, oblique front, and ceiling).
ER -
English
