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We aimed to investigate the mean and maximum power of the compound muscle action potential (CMAP) as a novel diagnostic parameter, by evaluating diagnosis and classification performance using the supervised Kohonen self-organizing map (SOM) network models. The CMAPs were analyzed using the fast Fourier transform (FFT). The mean and maximum power parameters were calculated from the power spectrum. A counter-propagation artificial neural network (CPANN), supervised Kohonen network (SKN) and XY-fused network (XYF) were compared to evaluate the classification and diagnostic performance of the parameters using the confusion matrix. The mean and maximum power of the CMAP were significantly lower in patients with CTS than in the normal group (p\u2009&lt;\u20090.05), and the XYF network had the best total performance of classification with 91.4%. This study suggests that the mean and maximum power of the CMAP can be considered as less time-consuming parameters for the diagnosis of CTS without using additional EP tests which can be uncomfortable for the patient due to poor tolerance to electrical stimulation.<\/jats:p>","DOI":"10.1515\/bmt-2018-0077","type":"journal-article","created":{"date-parts":[[2019,8,4]],"date-time":"2019-08-04T13:15:41Z","timestamp":1564924541000},"page":"61-71","source":"Crossref","is-referenced-by-count":4,"title":["A novel approach to the diagnostic assessment of carpal tunnel syndrome based on the frequency domain of the compound muscle action potential"],"prefix":"10.1515","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7786-8591","authenticated-orcid":false,"given":"Veysel","family":"Alcan","sequence":"first","affiliation":[{"name":"Department of Software Engineering, Faculty of Technology , Tarsus University , Mersin 33400 , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hilal","family":"Kaya","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Faculty of Engineering and Natural Science , Ankara Y\u0131ld\u0131r\u0131m Beyaz\u0131t University , Ankara 06010 , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Murat","family":"Zinnuro\u011flu","sequence":"additional","affiliation":[{"name":"Department of Physical Medicine and Rehabilitation, School of Medicine , Gazi University , Ankara 06500 , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G\u00fcl\u00e7in Kaymak","family":"Karata\u015f","sequence":"additional","affiliation":[{"name":"Department of Physical Medicine and Rehabilitation, School of Medicine , Gazi University , Ankara 06500 , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehmet Rahmi","family":"Canal","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Faculty of Engineering , \u0130n\u00f6n\u00fc University , Malatya 44280 , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2019,8,5]]},"reference":[{"key":"2023033111160695238_j_bmt-2018-0077_ref_001_w2aab3b7b2b1b6b1ab1b8b1Aa","unstructured":"Aminoff MJ. 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