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MSST has recently been proposed as a method for modeling the combined oscillatory mechanisms of multi-channel signals. It makes use of the concepts of instantaneous frequency (IF) and bandwidth. Electrophysiological data, like other nonstationary signals, necessitates both joint time\u2013frequency analysis and independent time and frequency domain studies. The usefulness and effectiveness of a multi-variate, wavelet-based synchrosqueezing algorithm paired with a band extraction method are tested using electroencephalography data obtained from OCD patients and control groups in this research. The proposed methodology yields substantial results when analyzing differences between patient and control groups. <\/jats:p>","DOI":"10.1142\/s0129065721500441","type":"journal-article","created":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T05:24:58Z","timestamp":1631424298000},"source":"Crossref","is-referenced-by-count":1,"title":["A Diagnostic Strategy via Multiresolution Synchrosqueezing Transform on Obsessive Compulsive Disorder"],"prefix":"10.1142","volume":"31","author":[{"given":"Pinar","family":"Ozel","sequence":"first","affiliation":[{"name":"Biomedical Engineering Department, Nevsehir HBV University, 50300 Nevsehir, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Olamat","sequence":"additional","affiliation":[{"name":"Biomedical Engineering Program, Yildiz Technical University, 34349 Istanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aydin","family":"Akan","sequence":"additional","affiliation":[{"name":"Electrical and Electronics Engineering Department, Izmir University of Economics, 35330 Izmir, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,9,9]]},"reference":[{"issue":"9","key":"S0129065721500441BIB001","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1142\/S012906572050046X","volume":"30","author":"Ozel P.","year":"2020","journal-title":"Int. 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