Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters-Reference-Cited by-同舟云学术

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Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters

Published:2022-10 Issue: Volume:98 Page:49-55
ISSN:0966-6362
Container-title:Gait & Posture
language:en
Short-container-title:Gait & Posture

Author:

Ferreira Marta Isabel A.S.N,Barbieri Fabio Augusto,Moreno Vinícius Christianini,Penedo Tiago,Tavares João Manuel R.S.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Rehabilitation,Orthopedics and Sports Medicine,Biophysics

Reference40 articles.

1. Accuracy of clinical diagnosis of Parkinson disease;Rizzo;Neurology,2016

2. Gait analysis in Parkinson’s disease: an overview of the most accurate markers for diagnosis and symptoms monitoring;di Biase;Sensors,2020

3. Diagnosis and differential diagnosis of Parkinson disease;Caproni;Clin. Geriatr. Med.,2020

4. Behavioral Neurobiology of Huntington’s Disease and Parkinson’s Disease;Nguyen,2015

5. Computer-vision based diagnosis of Parkinson’s disease via gait: a survey;Kour;IEEE Access,2019

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