A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease

2016235 citationsReviewgold Open Access

Authors

Catarina Godinho · Escola Superior de Saúde Egas Moniz

Josefa Domingos · Instituto Superior Politécnico do Oeste

Guilherme Cunha · University of Lisbon

A. Santos · University of Lisbon

Ricardo M. Fernandes · University of Lisbon

Daisy Abreu · University of Lisbon

Nilza Gonçalves

Abstract

Seventy-three devices were identified, 22 were wearable, 38 were non-wearable, and 13 were hybrid devices. In accordance with our classification method, 9 devices were 'recommended', 34 devices were 'suggested', and 30 devices were classified as 'listed'. Within the wearable devices group, the Mobility Lab sensors from Ambulatory Parkinson's Disease Monitoring (APDM), Physilog®, StepWatch 3, TriTrac RT3 Triaxial accelerometer, McRoberts DynaPort, and Axivity (AX3) were classified as 'recommended'. Within the non-wearable devices group, the Nintendo Wii Balance Board and GAITRite® gait analysis system were classified as 'recommended'. Within the hybrid devices group only the Kinesia® system was classified as 'recommended'.

Topics & Keywords

Parkinson's Disease Mechanisms and Treatments Balance, Gait, and Falls Prevention Assistive Technology in Communication and Mobility

Publication Details

Published in: Journal of NeuroEngineering and Rehabilitation

Volume 13, Issue 1, pp. 24-24

DOI: 10.1186/s12984-016-0136-7

Field-Weighted Citation Impact: 20.64

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A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease

Authors

Abstract

Topics & Keywords

Publication Details