Hand Pronation-Supination Movement as a Proxy for Remotely Monitoring Gait and Posture Stability in Parkinson's Disease
| Autor: | Yusuf Ozgur Cakmak, Can Olcek, Burak Ozsoy, Prashanna Khwaounjoo, Gunes Kiziltan, Hulya Apaydin, Aysegul Günduz, Ozgur Oztop Cakmak, Sibel Ertan, Yasemin Gursoy-Ozdemir, Didem Gokcay |
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| Přispěvatelé: | Çakmak, Özgür Öztop (ORCID 0000-0003-3413-0332 & YÖK ID 299358), Ertan, Fatoş Sibel (ORCID 0000-0003-1339-243X & YÖK ID 112829), Özdemir, Yasemin Gürsoy, Çakmak, Yusuf Özgür, Ölçek, Can, Özsoy, Burak, Khwaounjoo, Prashannaa, Kızıltan, Güneş, Apaydın, Hülya, Gündüz, Ayşegül, Gökçay, Didem, Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM), School of Medicine |
| Rok vydání: | 2021 |
| Předmět: |
Posture
Parkinson Disease Analytical chemistry Electrical and electronic engineering Instruments and instrumentation Biochemistry Supination Atomic and Molecular Physics and Optics Analytical Chemistry Upper Extremity Humans gait posture Parkinson’s disease pronation supination bulbar anomalies Pronation Gait Parkinson's disease Bulbar anomalies Electrical and Electronic Engineering Gait Analysis Instrumentation |
| Zdroj: | Sensors; Volume 22; Issue 5; Pages: 1827 Sensors |
| ISSN: | 1424-8220 |
| Popis: | The Unified Parkinson’s Disease Rating Scale (UPDRS) is a subjective Parkinson’s Disease (PD) physician scoring/monitoring system. To date, there is no single upper limb wearable/non-contact system that can be used objectively to assess all UPDRS-III motor system subgroups (i.e., tremor (T), rigidity (R), bradykinesia (B), gait and posture (GP), and bulbar anomalies (BA)). We evaluated the use of a non-contact hand motion tracking system for potential extraction of GP information using forearm pronation–supination (P/S) motion parameters (speed, acceleration, and frequency). Twenty-four patients with idiopathic PD participated, and their UPDRS data were recorded bilaterally by physicians. Pearson’s correlation, regression analyses, and Monte Carlo validation was conducted for all combinations of UPDRS subgroups versus motion parameters. In the 262,125 regression models that were trained and tested, the models within 1% of the lowest error showed that the frequency of P/S contributes to approximately one third of all models; while speed and acceleration also contribute significantly to the prediction of GP from the left-hand motion of right handed patients. In short, the P/S better indicated GP when performed with the non-dominant hand. There was also a significant negative correlation (with medium to large effect size, range: 0.3–0.58) between the P/S speed and the single BA score for both forearms and combined UPDRS score for the dominant hand. This study highlights the potential use of wearable or non-contact systems for forearm P/S to remotely monitor and predict the GP information in PD. Koç Holding; Koç University |
| Databáze: | OpenAIRE |
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