Quantifying turning behavior and gait in Parkinson’s disease using mobile technology
| العنوان: | Quantifying turning behavior and gait in Parkinson’s disease using mobile technology |
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| المؤلفون: | Jay L. Alberts, Sarah J. Ozinga, Anson B. Rosenfeldt, Mandy Miller Koop |
| المصدر: | IBRO Reports, Vol 5, Iss, Pp 10-16 (2018) IBRO Reports |
| بيانات النشر: | Elsevier, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | 030506 rehabilitation, medicine.medical_specialty, Parkinson's disease, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Consumer electronics device, Article, lcsh:RC321-571, 03 medical and health sciences, ML, medial-lateral, 0302 clinical medicine, Physical medicine and rehabilitation, Timed Up and Go, AP, anterior-posterior, CC-MB, Clinic Mobility and Balance Application, Medicine, Mobile technology, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, STW, Sit-to-Walk, PD, Parkinson’s disease, Balance (ability), ICC, IntraClass Correlation Coefficient, IMU, inertial monitoring unit, V, vertical, PD - Parkinson's disease, business.industry, General Neuroscience, RMS, root mean square, medicine.disease, Gait, pwPD, people with Parkinson’s disease, Parkinson’s disease, cvCadence, coefficient of variation for cadence, TTS, Turn-to-Sit, TUG, Timed-Up-And-Go-Test, NJS, Normalized jerk scores, 0305 other medical science, business, human activities, 030217 neurology & neurosurgery, Timed up and go |
| الوصف: | Highlights • Improvements in mobility were detected from meds using a mobile device IMU in PD. • Algorithms using mobile device IMU data can segment the TUG into subtasks. • The Cleveland Clinic Mobility App can provide an objective assessment of mobility. Gait and balance impairments associated with Parkinson’s disease (PD) are often refractory to traditional treatments. Objective, quantitative analysis of gait patterns is crucial in successful management of these symptoms. This project aimed to 1) determine if biomechanical metrics from a mobile device inertial measurement unit were sensitive enough to characterize the effects of anti-parkinsonian medication during the Timed Up and Go (TUG) Test, and 2) develop the Cleveland Clinic Mobility and Balance application (CC-MB) to provide clinicians with objective report following completion of the TUG. The CC-MB captured 3-dimensional acceleration and rotational data from people with PD (pwPD) to characterize center of mass movement while performing the TUG. Trials were segmented into four components: Sit-to-Walk, Gait, Turning, and Stand-to-Sit. Thirty pwPD were tested On and Off (12 h) anti-PD medication. Significant improvements (p |
| اللغة: | English |
| تدمد: | 2451-8301 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfefae4953ed7e80c6244ab31a9cdb97 http://www.sciencedirect.com/science/article/pii/S2451830118300013 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....dfefae4953ed7e80c6244ab31a9cdb97 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 24518301 |
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