Non-Contact Monitoring of Human Vital Signs Using FMCW Millimeter Wave Radar in the 120 GHz Band.

adaptive notch fast independent component analysis frequency correction millimeter wave radar narrow beam non-contact measurement

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
13 Apr 2021
Historique:
received: 06 03 2021
revised: 29 03 2021
accepted: 10 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 4 5 2021
Statut: epublish

Résumé

A non-contact heartbeat/respiratory rate monitoring system was designed using narrow beam millimeter wave radar. Equipped with a special low sidelobe and small-sized antenna lens at the front end of the receiving and transmitting antennas in the 120 GHz band of frequency-modulated continuous-wave (FMCW) system, this sensor system realizes the narrow beam control of radar, reduces the interference caused by the reflection of other objects in the measurement background, improves the signal-to-clutter ratio (SCR) of the intermediate frequency signal (IF), and reduces the complexity of the subsequent signal processing. In order to solve the problem that the accuracy of heart rate is easy to be interfered with by respiratory harmonics, an adaptive notch filter was applied to filter respiratory harmonics. Meanwhile, the heart rate obtained by fast Fourier transform (FFT) was modified by using the ratio of adjacent elements, which helped to improve the accuracy of heart rate detection. The experimental results show that when the monitoring system is 1 m away from the human body, the probability of respiratory rate detection error within ±2 times for eight volunteers can reach 90.48%, and the detection accuracy of the heart rate can reach 90.54%. Finally, short-term heart rate measurement was realized by means of improved empirical mode decomposition and fast independent component analysis algorithm.

Identifiants

pubmed: 33924439
pii: s21082732
doi: 10.3390/s21082732
pmc: PMC8070581
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

IEEE Trans Biomed Eng. 2014 Mar;61(3):725-35
pubmed: 24235293
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Sensors (Basel). 2016 Nov 06;16(11):
pubmed: 27827976
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pubmed: 21382761

Auteurs

Wenjie Lv (W)

School of Electronic Information Engineering, Beihang University, Beijing 100191, China.
Key Laboratory of Microwave Perception & Safety Application, Beihang University, Beijing 100191, China.

Wangdong He (W)

School of Electronic Information Engineering, Beihang University, Beijing 100191, China.
Key Laboratory of Microwave Perception & Safety Application, Beihang University, Beijing 100191, China.

Xipeng Lin (X)

School of Electronic Information Engineering, Beihang University, Beijing 100191, China.
Key Laboratory of Microwave Perception & Safety Application, Beihang University, Beijing 100191, China.

Jungang Miao (J)

School of Electronic Information Engineering, Beihang University, Beijing 100191, China.
Key Laboratory of Microwave Perception & Safety Application, Beihang University, Beijing 100191, China.

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Classifications MeSH