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