Title :
Detection of motion artifacts in fNIRS via the continuous wavelet transform
Author :
Dadgostar, M. ; Setarehdan, Seyed Kamaledin ; Akin, Abdulkadir
Author_Institution :
Dept. of Biomed. Eng., Islamic Azad Univ., Tehran, Iran
Abstract :
fNIRS signal are prone to body movement artifacts that present themselves in various distortions on the raw data. Precise and accurate detection of such motion artifacts is essential to improve the SNR. In this paper, we propose a method based on the continuous wavelet transform to automatically detect and localize the motion artifacts. We validated the efficacy of the method on simulated and real fNIRS signals.
Keywords :
biomedical optical imaging; infrared spectra; medical image processing; motion compensation; wavelet transforms; automatic motion artifact detection; automatic motion artifact localization; continuous wavelet transform; fNIRS signal; funcional near-infrared spectroscopy; Biomedical engineering; Continuous wavelet transforms; Educational institutions; Motion segmentation; Wavelet coefficients; continuous wavelet transform; functional near-infrared spectroscopy; motion artifact;
Conference_Titel :
Biomedical Engineering (ICBME), 2013 20th Iranian Conference on
Conference_Location :
Tehran
DOI :
10.1109/ICBME.2013.6782227