20.500.12556/DKUM-68863 New perspectives for computer-aided discrimination of Parkinson's disease and essential tremor Pathological tremor is a common but highly complex movement disorder, affecting ~5% of population older than 65 years. Different methodologies have been proposed for its quantification. Nevertheless, the discrimination between Parkinson's disease tremor and essential tremor remains a daunting clinical challenge, greatly impacting patient treatment and basic research. Here, we propose and compare several movement-based and electromyography-based tremor quantification metrics. For the latter, we identified individual motor unit discharge patterns from high-density surface electromyograms and characterized the neural drive to a single muscle and how it relates to other affected muscles in 27 Parkinson's disease and 27 essential tremor patients. We also computed several metrics from the literature. The most discriminative metrics were the symmetry of the neural drive to muscles, motor unit synchronization, and the mean log power of the tremor harmonics in movement recordings. Noteworthily, the first two most discriminative metrics were proposed in this study. We then used decision tree modelling to find the most discriminative combinations of individual metrics, which increased the accuracy of tremor type discrimination to 94%. In summary, the proposed neural drive-based metrics were the most accurate at discriminating and characterizing the two most common pathological tremor types. Parkinson's disease essential tremor electromyography wrist movements motor units muscular excitation decision tree Parkinsonizem esencialni tremor elektromiografija premiki zapestja motorične enote mišično vzbujanje odločitveno drevo true false true Angleški jezik Slovenski jezik Znanstveno delo 2017-11-03 12:34:08 2017-11-03 12:35:09 2022-08-01 16:24:15 2019-07-11 17:12:58 2017 0 0 str. 1-17 št. 4327175 Letn. 2017 2017 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1099-0526 616.858:004 18282279 2368420 10.1155/2017/4327175 1099-0526 URN:SI:UM:DK:FJ5IFDTS Complexity_2017_Povalej_Brzan_et_al._New_Perspectives_for_Computer-Aided_Discrimination_of_Parkinson’s_Disease_and_Essential_Tremor.pdf Complexity_2017_Povalej_Brzan_et_al._New_Perspectives_for_Computer-Aided_Discrimination_of_Parkinson’s_Disease_and_Essential_Tremor.pdf 1 82094A9A2BCBBFDC0003447FEDF0FDDA 7b970d16a2f5e63dd90201130d5c8d7d3228948cbf95d8c4c96f52c91cd45f8c 78917bc5-7c0f-11eb-bb7a-00155d0001ca 20.500.12556/dkum/593fb72d-a494-47ff-b2c4-cc96e62bd179 https://dk.um.si/Dokument.php?lang=slv&id=120011 https://www.hindawi.com/journals/complexity/2017/4327175/ 1 https://dk.um.si/Dokument.php?lang=slv&id=120010 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0