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Non-Contact Detection of Vital Signs Based on Improved Adaptive EEMD Algorithm (July 2022)

Xu, Didi (author)
Beijing Institute of Technology
Yu, Weihua (author)
Beijing Institute of Technology
Deng, Changjiang (author)
Beijing Institute of Technology
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He, Zhongxia Simon, 1984 (author)
Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
2022-08-25
2022
English.
In: Sensors. - : MDPI AG. - 1424-8220. ; 22:17
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Non-contact vital sign detection technology has brought a more comfortable experience to the detection process of human respiratory and heartbeat signals. Ensemble empirical mode decomposition (EEMD) is a noise-assisted adaptive data analysis method which can be used to decompose the echo data of frequency modulated continuous wave (FMCW) radar and extract the heartbeat and respiratory signals. The key of EEMD is to add Gaussian white noise into the signal to overcome the mode aliasing problem caused by original empirical mode decomposition (EMD). Based on the characteristics of clutter and noise distribution in public places, this paper proposed a static clutter filtering method for eliminating ambient clutter and an improved EEMD method based on stable alpha noise distribution. The symmetrical alpha stable distribution is used to replace Gaussian distribution, and the improved EEMD is used for the separation of respiratory and heartbeat signals. The experimental results show that the static clutter filtering technology can effectively filter the surrounding static clutter and highlight the periodic moving targets. Within the detection range of 0.5 m similar to 2.5 m, the improved EEMD method can better distinguish the heartbeat, respiration, and their harmonics, and accurately estimate the heart rate.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk laboratorie- och mätteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Laboratory and Measurements Technologies (hsv//eng)
NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Keyword

frequency modulated continuous wave (FMCW)
static clutter filtering
non-contact vital signs detection
ensemble empirical mode decomposition (EEMD)

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art (subject category)
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Xu, Didi
Yu, Weihua
Deng, Changjiang
He, Zhongxia Sim ...
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ENGINEERING AND ...
and Medical Engineer ...
and Medical Laborato ...
NATURAL SCIENCES
NATURAL SCIENCES
and Mathematics
and Probability Theo ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
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Sensors
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Chalmers University of Technology

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