{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T17:30:49Z","timestamp":1778088649717,"version":"3.51.4"},"reference-count":22,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["THC"],"published-print":{"date-parts":[[2022,5,12]]},"abstract":"<jats:p>BACKGROUND: Essential tremor (ET) and the tremor in Parkinson\u2019s disease (PD) are the two most common pathological tremors with a certain overlap in the clinical presentation. OBJECTIVE: The main purpose of this work is to use an artificial neural network to select the best features and to discriminate between the two types of tremors. The features used are of hybrid type obtained from two different algorithms: the statistical signal characterization (SSC) of the signal describing its morphology, and the soft-decision wavelet-decomposition (SDWD) features extracted from the accelerometer and surface EMG signals. METHODS: The SSC method is used to obtain morphology-based features of the spectrum of the accelerometer and two surface EMG signals. The SDWD technique is used in this work to obtain the approximate spectral representation of both accelerometer and the two surface EMG signals. Two sets of data (training and test) are used in this paper. The training set consists of 21 ET subjects and 19 PD subjects, while the test set consists of 20 ET and 20 PD subjects. A neural network of the type feed forward back propagation has been used to combine best SSC features and best SDWD features of the accelerometer and EMG signals. RESULTS: Efficiency result of 92.5% was obtained using best hybrid features. CONCLUSIONS: The artificial neural network has been used successfully to combine two types of features in an automatic discrimination system between PD and ET.<\/jats:p>","DOI":"10.3233\/thc-213324","type":"journal-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T12:15:25Z","timestamp":1640088925000},"page":"691-702","source":"Crossref","is-referenced-by-count":4,"title":["Discrimination between parkinsonian tremor and essential tremor using artificial neural network with hybrid features"],"prefix":"10.1177","volume":"30","author":[{"given":"Abdulnasir","family":"Hossen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/THC-213324_ref1","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.mcna.2008.09.002","article-title":"Movement disorders","volume":"93","author":"Harris","year":"2009","journal-title":"Med Clin. North America."},{"issue":"3","key":"10.3233\/THC-213324_ref2","first-page":"2","article-title":"Consensus statement of the movement disorder society on tremor. Ad hoc scientific committee","volume":"13","author":"Deuschl","year":"1998","journal-title":"Mov Disorder."},{"key":"10.3233\/THC-213324_ref3","first-page":"499","article-title":"Parkinson\u2019s disease is overdiagnosed clinically at baseline in diagnostically uncertain cases: 3-year European multicenter study with repeat [(123)] FP-CIT SPECT","volume":"24","author":"Marshall","year":"2008","journal-title":"Mov Disord."},{"issue":"15","key":"10.3233\/THC-213324_ref4","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1007\/s00702-007-0851-0","article-title":"[(123)I]-FP-CIT SPECT and oldfaction test in patients with combined postural and rest tremor","author":"Djaldetti","year":"2008","journal-title":"J. Neural Transm."},{"issue":"23","key":"10.3233\/THC-213324_ref5","doi-asserted-by":"crossref","first-page":"2202","DOI":"10.1002\/mds.22278","article-title":"Cost-effectiveness of [(123)I]-FP-CIT-SPECT in the differential diagnosis of essential tremor and Parkinson\u2019s disease in Italy","author":"Antonini","year":"2008","journal-title":"Mov Disord."},{"key":"10.3233\/THC-213324_ref6","doi-asserted-by":"crossref","first-page":"(110","DOI":"10.1097\/00004691-199603000-00002","article-title":"Clinical neurophysiology of tremor","volume":"13","author":"Deuschl","year":"1996","journal-title":"J. Clin Neurophysiol."},{"issue":"115","key":"10.3233\/THC-213324_ref7","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1016\/j.clinph.2004.04.006","article-title":"Tremor analysis in two normal cohorts","author":"Raethjen","year":"2004","journal-title":"Clin Neurophysiol."},{"issue":"54","key":"10.3233\/THC-213324_ref8","first-page":"7","article-title":"Criteria for the diagnosis of essential tremor","author":"Bain","year":"2000","journal-title":"Neurology."},{"issue":"1","key":"10.3233\/THC-213324_ref9","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1063\/1.166084","article-title":"Tremor classification and tremor time series analysis","volume":"5","author":"Deuschl","year":"1995","journal-title":"CHAOS."},{"issue":"97","key":"10.3233\/THC-213324_ref10","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1016\/0924-980X(95)00208-3","article-title":"Reliability, specificity and sensitivity of long-term tremor recordings","author":"Spieker","year":"1995","journal-title":"Electroencephalography and Clinical Neurophysiology."},{"issue":"67","key":"10.3233\/THC-213324_ref11","first-page":"1","article-title":"Detecting scaling in the period of dynamics of multimodal signals: Application to Parkinsonian tremor","author":"Sapir","year":"2003","journal-title":"Physical Review."},{"issue":"255","key":"10.3233\/THC-213324_ref12","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/s00415-008-0712-2","article-title":"Long-term EMG recordings differentiate between parkinsonian and essential tremor","author":"Breit","year":"2008","journal-title":"J Neurol."},{"issue":"55","key":"10.3233\/THC-213324_ref13","doi-asserted-by":"crossref","first-page":"1547","DOI":"10.1212\/WNL.55.10.1547","article-title":"Essential tremor frequency decreases with time","author":"Elble","year":"2000","journal-title":"Neurology."},{"issue":"60","key":"10.3233\/THC-213324_ref14","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1001\/archneur.60.3.405","article-title":"Rest tremor in patients with essential tremor: Prevalence, clinical correlates, and electrophysiologic characteristics","author":"Cohen","year":"2003","journal-title":"Arch Neurol."},{"key":"10.3233\/THC-213324_ref18","doi-asserted-by":"crossref","unstructured":"Hossen A, Muthuraman M, Raethjen J, Deuschl G, Heute U. Discrimination of Parkinsonian tremor from Essential tremor by implementation of a wavelet-based soft-decision technique on EMG and Accelerometer signals. Biomedical Signal Processing and Control. 2010; (5): 181-188.","DOI":"10.1016\/j.bspc.2010.02.005"},{"key":"10.3233\/THC-213324_ref19","doi-asserted-by":"crossref","unstructured":"Hossen A, Muthuraman M, Raethjen J, Deuschl G, Heute U. A neural network approach to distniguish parkinsonian tremor from essential tremor. International Conference on Soft Computing for Problem Solving, SocPros, Roorkee, India. 2011; 130: 995-1006.","DOI":"10.1007\/978-81-322-0487-9_96"},{"issue":"21","key":"10.3233\/THC-213324_ref20","doi-asserted-by":"crossref","first-page":"345","DOI":"10.3233\/THC-130735","article-title":"A neural network approach for feature extraction and discrimination between parkinsonian tremor and essential tremor","author":"Hossen","year":"2013","journal-title":"Technology and Health Care Journal."},{"issue":"17","key":"10.3233\/THC-213324_ref22","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1049\/el:20045235","article-title":"Power spectral density estimation via wavelet decomposition","volume":"40","author":"Hossen","year":"2004","journal-title":"Electronics Letters."},{"key":"10.3233\/THC-213324_ref23","doi-asserted-by":"crossref","unstructured":"Al Ghunaimi B, Hossen A, Hassan MO. Statistical signal characterization for congestive heart failure patient\u2019s classification. Technology and Health Care Journal. 2006; 14(1): 29-45.","DOI":"10.3233\/THC-2006-14104"},{"issue":"1","key":"10.3233\/THC-213324_ref24","first-page":"1","article-title":"Statistical signal characterization of spectral analysis of heart rate variability for screening of patients with obstructive sleep apnea","volume":"3","author":"Hossen","year":"2006","journal-title":"The Journal of Engineering Research, SQU."},{"key":"10.3233\/THC-213324_ref25","doi-asserted-by":"crossref","first-page":"513","DOI":"10.3233\/BME-130773","article-title":"Discrimination of parkinsonian tremor from essential tremor using statistical signal characterization of the spectrum of accelerometer signal","volume":"23","author":"Hossen","year":"2013","journal-title":"Journal of Bio-Medical Materials and Engineering."},{"key":"10.3233\/THC-213324_ref28","doi-asserted-by":"crossref","unstructured":"Elfadil N, Hossen A. Identification of patients with congestive heart failure using different neural networks approaches. Technology and Health Care Journal. 2009; 17(4): 305-321.","DOI":"10.3233\/THC-2009-0542"}],"container-title":["Technology and Health Care"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/THC-213324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:53:53Z","timestamp":1777614833000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/THC-213324"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,12]]},"references-count":22,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/thc-213324","relation":{},"ISSN":["0928-7329","1878-7401"],"issn-type":[{"value":"0928-7329","type":"print"},{"value":"1878-7401","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,12]]}}}