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Segmentation of 24GHz RF Respiration Signal Using GMM

Author(s)
Khaemphukhiao, Ratchaphon
Phasukkit, Pattarapong
Date Issued
November 1, 2019
Type
Conference Paper
DOI
10.1109/BMEiCON47515.2019.8990323
Abstract
This paper proposes a system for measuring rate of respiration of Newborn Phantom in a child incubator without contact with radar. In modern medicine, this non-contact system tends to replace the old systems that use contact measurement. The system of radar uses a 24 GHz continuous signal module, which has a region. that can detect breathing more clearly than low frequency. In addition, we have introduced the GMM technique to perform the signal segmentation for increasing the accuracy of the rate by compare with the contact signal to achieve 100% results.
Citation
Bmeicon 2019 12th Biomedical Engineering International Conference, 2019
Subjects

24 GHz, Non-contact

GMM

MFCC

Radar

Signal Segmentation

Metrics
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