{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T07:04:40Z","timestamp":1743491080580},"reference-count":51,"publisher":"American Speech Language Hearing Association","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Speech Lang Hear Res"],"published-print":{"date-parts":[[1995,4]]},"abstract":"<jats:p>\n            Digital recordings of thyroarytenoid (TA) myoelectric activity (via percutaneous hooked-wire electrodes) were obtained for 10 normal control subjects and 10 subjects with spasmodic dysphonia during performance of five tasks of varying complexity: quiet breathing, Valsalva maneuver, whispered \/\n            <jats:italic>i<\/jats:italic>\n            \/, voiced \/\n            <jats:italic>i<\/jats:italic>\n            \/, and \u201cbeep beep went the heap.\u201d Time-frequency power spectral density functions,\n            <jats:italic>PSD<\/jats:italic>\n            (\n            <jats:italic>f<\/jats:italic>\n            ,\n            <jats:italic>t<\/jats:italic>\n            ), were determined for a selected segment of the signals, and measures of median frequency, mean frequency, bandwidth, and center frequency of\n            <jats:italic>PSD<\/jats:italic>\n            (\n            <jats:italic>f<\/jats:italic>\n            ,\n            <jats:italic>t<\/jats:italic>\n            ) were derived for each sample point. Statistical median, mean, standard deviation, minimum, maximum, and mode of the power spectral density measures were computed to compose feature vectors for each TA myoelectric recording. Statistical pattern recognition procedures using maximum likelihood classification tests were applied to the feature space to discriminate disordered from normal speakers for each task. Findings indicate a high level of discriminability between subject groups for phonated speaking tasks in contrast to low levels of discriminability for whispered and nonspeech tasks. Graphical presentations of three-dimensional\n            <jats:italic>PSD<\/jats:italic>\n            (\n            <jats:italic>f<\/jats:italic>\n            ,\n            <jats:italic>t<\/jats:italic>\n            ) plots are given that illustrate changes in spectral characteristics of TA EMG at the onset of laryngospasm.\n          <\/jats:p>","DOI":"10.1044\/jshr.3802.289","type":"journal-article","created":{"date-parts":[[2014,7,29]],"date-time":"2014-07-29T21:10:14Z","timestamp":1406668214000},"page":"289-303","source":"Crossref","is-referenced-by-count":10,"title":["Time-Frequency Analyses of Thyroarytenoid Myoelectric Activity in Normal and Spasmodic Dysphonia Subjects"],"prefix":"10.1044","volume":"38","author":[{"given":"Rick M.","family":"Roark","sequence":"first","affiliation":[{"name":"Department of Otolaryngology New York Medical College Valhalla and New York Eye &amp; Ear Infirmary Manhattan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric M.","family":"Dowling","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering &amp; Computer Science University of Texas at Dallas Richardson"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronald D.","family":"DeGroat","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering &amp; Computer Science University of Texas at Dallas Richardson"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ben C.","family":"Watson","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology New York Medical College Valhalla and New York Eye &amp; Ear Infirmary Manhattan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven D.","family":"Schaefer","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology New York Medical College Valhalla and New York Eye &amp; Ear Infirmary Manhattan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1310","reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1016\/0167-8655(91)90010-J","article-title":"Methods of signal classification using the images produced by the Wigner\u2014Ville distribution","volume":"12","author":"Abeysekera S. 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