A non-contact method based on multiple signal classification algorithm to reduce the measurement time for accurately heart rate detection

被引：31
作者：
Bechet, P. [1 ]
Mitran, R. [1 ]
Munteanu, M. [2 ]
机构：
[1] Land Forces Acad, Dept Tech Sci, Sibiu, Romania
[2] Tech Univ Cluj Napoca, Dept Elect Measurements, Cluj Napoca, Romania
来源：
REVIEW OF SCIENTIFIC INSTRUMENTS | 2013年 / 84卷 / 08期
关键词：
DOPPLER RADAR; TARGET LOCALIZATION;
D O I：
10.1063/1.4818974
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
Non-contact methods for the assessment of vital signs are of great interest for specialists due to the benefits obtained in both medical and special applications, such as those for surveillance, monitoring, and search and rescue. This paper investigates the possibility of implementing a digital processing algorithm based on the MUSIC (Multiple Signal Classification) parametric spectral estimation in order to reduce the observation time needed to accurately measure the heart rate. It demonstrates that, by proper dimensioning the signal subspace, the MUSIC algorithm can be optimized in order to accurately assess the heart rate during an 8-28 s time interval. The validation of the processing algorithm performance was achieved by minimizing the mean error of the heart rate after performing simultaneous comparative measurements on several subjects. In order to calculate the error the reference value of heart rate was measured using a classic measurement system through direct contact. (C) 2013 AIP Publishing LLC.
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页数：9
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