DocumentCode :
120406
Title :
Short-time Fourier and wavelet transform analysis of respiration signal obtained by thermal imaging
Author :
Alkali, Abdulkadir Hamidu ; Saatchi, Reza ; Elphick, Heather ; Burke, D.
Author_Institution :
Fac. of Arts, Comput., Eng. & Sci., Sheffield Hallam Univ., Sheffield, UK
fYear :
2014
fDate :
23-25 July 2014
Firstpage :
183
Lastpage :
187
Abstract :
Respiration rate is a critical sign of a person´s wellbeing. The respiration rate of an adult subject was measured for eight minutes using a thermal imaging technique. A suitable algorithm was used to locate and track the respiration region of interest centred on the tip of the nose. The effectiveness of short time Fourier transform (STFT) and continuous wavelet transform (CWT) to determine respiration rate variations over time was investigated. The study indicated that both STFT and CWT can indicate respiration rate time variations, but CWT was more sensitive in detecting the transient changes in respiration signal.
Keywords :
Fourier transforms; biomedical optical imaging; diseases; geriatrics; infrared imaging; pneumodynamics; wavelet transforms; continuous Wavelet transform analysis; person´s wellbeing; respiration rate time variations; respiration signal; short-time Fourier transform analysis; short-time Wavelet Transform Analysis; thermal imaging; thermal imaging technique; Continuous wavelet transforms; Imaging; Monitoring; Temperature measurement; Wavelet analysis; Continuous Wavelet Transfor; Respiration Rate; Short-time Fourier Transform; Thermal Imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/CSNDSP.2014.6923821
Filename :
6923821
Link To Document :
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