JOURNAL ARTICLE

Comparison between different decorrelation techniques in vital sign detection

Angela Dell’AversanoAndrea NataleRaffaele Solimene

Year: 2016 Journal:   Advanced Electromagnetics Vol: 5 (2)Pages: 53-53   Publisher: Advanced Electromagnetics

Abstract

The problem of detecting the breath activities of a human subject is addressed. A CW signal is used to probe the scene and the MUSIC algorithm is exploited to detect frequency doppler modulation introduced by chest movements. For this particular measurement configuration, the correlation matrix results rank deficient. In order to restore the rank, two decorrelation techniques are compared by exploiting numerical data.

Keywords:
Decorrelation Rank (graph theory) Computer science SIGNAL (programming language) Sign (mathematics) Algorithm Doppler effect Matrix (chemical analysis) Pattern recognition (psychology) Artificial intelligence Speech recognition Computer vision Mathematics Physics

Metrics

6
Cited By
0.34
FWCI (Field Weighted Citation Impact)
12
Refs
0.65
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Non-Invasive Vital Sign Monitoring
Physical Sciences →  Engineering →  Biomedical Engineering
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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