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Journal of NeuroEngineering and Rehabilitation

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Open Access 01-12-2016 | Review

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

Authors: Catarina Godinho, Josefa Domingos, Guilherme Cunha, Ana T. Santos, Ricardo M. Fernandes, Daisy Abreu, Nilza Gonçalves, Helen Matthews, Tom Isaacs, Joy Duffen, Ahmed Al-Jawad, Frank Larsen, Artur Serrano, Peter Weber, Andrea Thoms, Stefan Sollinger, Holm Graessner, Walter Maetzler, Joaquim J. Ferreira

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2016

Abstract

Background

There is growing interest in having objective assessment of health-related outcomes using technology-based devices that provide unbiased measurements which can be used in clinical practice and scientific research. Many studies have investigated the clinical manifestations of Parkinson’s disease using such devices. However, clinimetric properties and clinical validation vary among the different devices.

Methods

Given such heterogeneity, we sought to perform a systematic review in order to (i) list, (ii) compare and (iii) classify technological-based devices used to measure motor function in individuals with Parkinson's disease into three groups, namely wearable, non-wearable and hybrid devices. A systematic literature search of the PubMed database resulted in the inclusion of 168 studies. These studies were grouped based on the type of device used. For each device we reviewed availability, use, reliability, validity, and sensitivity to change. The devices were then classified as (i) ‘recommended’, (ii) ‘suggested’ or (iii) ‘listed’ based on the following criteria: (1) used in the assessment of Parkinson’s disease (yes/no), (2) used in published studies by people other than the developers (yes/no), and (3) successful clinimetric testing (yes/no).

Results

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’.

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Title: A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease
Authors: Catarina Godinho
Josefa Domingos
Guilherme Cunha
Ana T. Santos
Ricardo M. Fernandes
Daisy Abreu
Nilza Gonçalves
Helen Matthews
Tom Isaacs
Joy Duffen
Ahmed Al-Jawad
Frank Larsen
Artur Serrano
Peter Weber
Andrea Thoms
Stefan Sollinger
Holm Graessner
Walter Maetzler
Joaquim J. Ferreira
Publication date: 01-12-2016
Publisher: BioMed Central
Published in: Journal of NeuroEngineering and Rehabilitation / Issue 1/2016
Electronic ISSN: 1743-0003
DOI: https://doi.org/10.1186/s12984-016-0136-7

Keynote webinar | Spotlight on medication adherence

Springer Medicine

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

Abstract

Background

Methods

Results

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

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