Author:
Arora S.,Venkataraman V.,Zhan A.,Donohue S.,Biglan K.M.,Dorsey E.R.,Little M.A.
Subject
Neurology (clinical),Geriatrics and Gerontology,Neurology
Reference12 articles.
1. Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases;Hughes;J Neurol Neurosurg Psychiatry,1992
2. Brunato M, Battiti R, Pruitt D, Sartori E. Supervised and unsupervised machine learning for the detection, monitoring and management of Parkinson's disease from passive mobile phone data. In: Predicting Parkinson's disease progression with smartphone data, Kaggle Competition. Available from: https://kaggle2.blob.core.windows.net/prospector-files/1117/958625cf-3514-4e64-b0e7-13ebd3cf9791/kaggle.pdf, [accessed 22.10.14].
3. Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity;Tsanas;J R Soc Interface,2011
4. A comprehensive assessment of gait accelerometry signals in time, frequency and time-frequency domains;Sejdić;IEEE Trans Neural Syst Rehabil Eng,2014
5. Quantitative measurements of alternating finger tapping in Parkinson's disease correlate with UPDRS motor disability and reveal the improvement in fine motor control from medication and deep brain stimulation;Taylor Tavares;Mov Disord,2005
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