Literature DB >> 28549757

Mobile phone applications in Parkinson's disease: A systematic review.

M Linares-Del Rey1, L Vela-Desojo2, R Cano-de la Cuerda3.   

Abstract

INTRODUCTION: Parkinson's disease (PD) is the second most common neurodegenerative disease. However, diagnosing, assessing, and treating these patients is a complex process requiring continuous monitoring. In this context, smartphones may be useful in the management of patients with PD.
OBJECTIVE: The purpose of this study is to perform a systematic review of the literature addressing the use of mobile phone applications (apps) in PD.
MATERIALS AND METHODS: We conducted a literature search of articles published in English or Spanish between 2011 and 2016 analysing or validating apps specifically designed for or useful in PD. In addition, we searched for apps potentially useful for PD patients in the leading app stores.
CONCLUSIONS: The literature and app searches yielded a total of 125 apps, 56 of which were classified as potentially useful in PD and 69 as specifically designed for PD (23 information apps, 29 assessment apps, 13 treatment apps, and 4 assessment and treatment apps). Numerous mobile apps are potentially useful in or specifically designed for PD management. However, scientific evidence of their usefulness is scarce and of poor quality. Further studies are needed to validate these tools and regulate their use.
Copyright © 2017 Sociedad Española de Neurología. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Aplicaciones móviles; Apps; Enfermedad de Parkinson; Mobile phone applications; Parkinson's disease; Rehabilitación; Rehabilitation; eHealth; mHealth

Mesh:

Year:  2017        PMID: 28549757     DOI: 10.1016/j.nrl.2017.03.006

Source DB:  PubMed          Journal:  Neurologia (Engl Ed)        ISSN: 2173-5808


  10 in total

1.  Smartphone-Based Body Location-Independent Functional Mobility Analysis in Patients with Parkinson's Disease: A Step towards Precise Medicine.

Authors:  Diogo Vila-Viçosa; Mariana Leitão; Raquel Bouça-Machado; Filipa Pona-Ferreira; Sara Alberto; Joaquim J Ferreira; Ricardo Matias
Journal:  J Pers Med       Date:  2022-05-19

2.  Automatic Resting Tremor Assessment in Parkinson's Disease Using Smartwatches and Multitask Convolutional Neural Networks.

Authors:  Luis Sigcha; Ignacio Pavón; Nélson Costa; Susana Costa; Miguel Gago; Pedro Arezes; Juan Manuel López; Guillermo De Arcas
Journal:  Sensors (Basel)       Date:  2021-01-04       Impact factor: 3.576

3.  A mobile-assisted voice condition analysis system for Parkinson's disease: assessment of usability conditions.

Authors:  Javier Carrón; Yolanda Campos-Roca; Mario Madruga; Carlos J Pérez
Journal:  Biomed Eng Online       Date:  2021-11-21       Impact factor: 2.819

4.  Co-designing a digital companion with people living with Parkinson's to support self-care in a personalized way: The eCARE-PD Study.

Authors:  Sylvie Grosjean; Jean-Luc Ciocca; Amélie Gauthier-Beaupré; Emely Poitras; David Grimes; Tiago Mestre
Journal:  Digit Health       Date:  2022-02-25

5.  Exploring the feasibility of technological visuo-cognitive training in Parkinson's: Study protocol for a pilot randomised controlled trial.

Authors:  Julia Das; Rosie Morris; Gill Barry; Rodrigo Vitorio; Paul Oman; Claire McDonald; Richard Walker; Samuel Stuart
Journal:  PLoS One       Date:  2022-10-07       Impact factor: 3.752

6.  Smartphone Applications in the Management of Parkinson's Disease in a Family Setting: An Opinion Article.

Authors:  Ting Zhang; Li Dong; Hua Jing; Song Gao
Journal:  Front Neurol       Date:  2021-05-21       Impact factor: 4.003

7.  Deep Learning Approaches for Detecting Freezing of Gait in Parkinson's Disease Patients through On-Body Acceleration Sensors.

Authors:  Luis Sigcha; Nélson Costa; Ignacio Pavón; Susana Costa; Pedro Arezes; Juan Manuel López; Guillermo De Arcas
Journal:  Sensors (Basel)       Date:  2020-03-29       Impact factor: 3.576

8.  Mobile Health Daily Life Monitoring for Parkinson Disease: Development and Validation of Ecological Momentary Assessments.

Authors:  Jeroen Habets; Margot Heijmans; Christian Herff; Claudia Simons; Albert Fg Leentjens; Yasin Temel; Mark Kuijf; Pieter Kubben
Journal:  JMIR Mhealth Uhealth       Date:  2020-05-11       Impact factor: 4.773

9.  How People with Parkinson's Disease and Health Care Professionals Wish to Partner in Care Using eHealth: Co-Design Study.

Authors:  Carolina Wannheden; Åsa Revenäs
Journal:  J Med Internet Res       Date:  2020-09-21       Impact factor: 5.428

Review 10.  Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review.

Authors:  JuHee Lee; Insun Yeom; Misook L Chung; Yielin Kim; Subin Yoo; Eunyoung Kim
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-21       Impact factor: 4.773

  10 in total

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