There is an increasing interest in the use of Gait Analysis (GA) in Parkinson’s Disease (PD), however no one has previously investigated what are the principal trends on the main applications of quantitative GA in studies involving this neurological disorder. We performed a systematically literature search for articles published through 2013 to present using three electronic databases. We retrieved 76 articles that met the inclusion criteria and identified four main research areas which refers to GA for: pathophysiological mechanisms underlying PD; assessment tool for treatment outcomes; automatic recognition of PD symptoms and algorithms for classification between PD patients and healthy subjects.
Gait Analysis and Parkinson’s Disease: Recent Trends on Main Applications in Healthcare / Bortone, Ilaria; Buongiorno, Domenico; Lelli, Giuseppina; Di Candia, Andrea; Cascarano, Giacomo Donato; Trotta, Gianpaolo Francesco; Fiore, Pietro; Bevilacqua, Vitoantonio (BIOSYSTEMS & BIOROBOTICS). - In: Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy / [a cura di] Lorenzo Masia; Silvestro Micera; Metin Akay; José L. Pons. - STAMPA. - Cham, CH : Springer, 2019. - ISBN 978-3-030-01844-3. - pp. 1121-1125 [10.1007/978-3-030-01845-0_224]
Gait Analysis and Parkinson’s Disease: Recent Trends on Main Applications in Healthcare
Buongiorno, Domenico;Cascarano, Giacomo Donato;Trotta, Gianpaolo Francesco;Bevilacqua, Vitoantonio
2019-01-01
Abstract
There is an increasing interest in the use of Gait Analysis (GA) in Parkinson’s Disease (PD), however no one has previously investigated what are the principal trends on the main applications of quantitative GA in studies involving this neurological disorder. We performed a systematically literature search for articles published through 2013 to present using three electronic databases. We retrieved 76 articles that met the inclusion criteria and identified four main research areas which refers to GA for: pathophysiological mechanisms underlying PD; assessment tool for treatment outcomes; automatic recognition of PD symptoms and algorithms for classification between PD patients and healthy subjects.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
