The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
조회수
96
위상 분석을 기반으로 하는 mm-wave FMCW 레이더의 심박수 측정은 다양한 노이즈로 구성됩니다. 더욱이 호흡과 심장 주파수가 너무 가깝기 때문에 호흡 신호의 고조파가 심박수를 방해하며 대역 통과 필터는 이를 해결할 수 없습니다. 반면, 심박수는 사람마다 다르기 때문에 WT(Wavelet Transform)의 기본 기능을 선택하기가 어렵습니다. 앞서 언급한 어려움을 해결하기 위해 우리는 인간 피부 표면 변위 데이터에 대한 시간-주파수 영역 분석을 수행하는 것을 고려합니다. 본 논문에서는 신호의 SNR을 효과적으로 향상시키고 심박수를 추정하며 심박 신호를 재구성하는 PA-LI(위상 축적-선형 보간) 결합 ICEMDAN(적응형 잡음을 이용한 개선된 완전 앙상블 경험 모드 분해) 접근 방식을 제안합니다. 실험 결과는 제안한 방법이 정면 방향에서 높은 SNR을 갖는 심박 신호를 추출할 수 있을 뿐만 아니라 다른 방향(예: 뒤, 왼쪽, 경사 앞, 천장)에서도 심박수를 감지할 수 있음을 보여줍니다.
Yaokun HU
Nihon University
Takeshi TODA
Nihon University
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부
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
부
@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},}
부
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 -