Short-time Fourier and wavelet transform analysis of respiration signal obtained by thermal imaging

ALKALI, Abdulkadir, SAATCHI, Reza, ELPHICK, Heather and BURKE, Derek (2014). Short-time Fourier and wavelet transform analysis of respiration signal obtained by thermal imaging. In: 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP). Institute of Electrical and Electronics Engineers, 183-187.

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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.

Item Type:	Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number:	https://doi.org/10.1109/CSNDSP.2014.6923821
Page Range:	183-187
Depositing User:	Hilary Ridgway
Date Deposited:	09 Dec 2014 11:51
Last Modified:	18 Mar 2021 09:15
URI:	https://shura.shu.ac.uk/id/eprint/8962

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