Your browser doesn't support javascript.
loading
A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson's disease.
Godinho, Catarina; Domingos, Josefa; Cunha, Guilherme; Santos, Ana T; Fernandes, Ricardo M; Abreu, Daisy; Gonçalves, Nilza; Matthews, Helen; Isaacs, Tom; Duffen, Joy; Al-Jawad, Ahmed; Larsen, Frank; Serrano, Artur; Weber, Peter; Thoms, Andrea; Sollinger, Stefan; Graessner, Holm; Maetzler, Walter; Ferreira, Joaquim J.
Afiliación
  • Godinho C; Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal.
  • Domingos J; Center for Interdisciplinary Research Egas Moniz (CiiEM), Instituto Superior de Ciências da Saúde Egas Moniz, Monte de Caparica, Portugal.
  • Cunha G; CNS-Campus Neurológico Sénior, Torres Vedras, Portugal.
  • Santos AT; Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal.
  • Fernandes RM; CNS-Campus Neurológico Sénior, Torres Vedras, Portugal.
  • Abreu D; Laboratory of Clinical Pharmacology and Therapeutics, Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
  • Gonçalves N; Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal.
  • Matthews H; Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal.
  • Isaacs T; Laboratory of Clinical Pharmacology and Therapeutics, Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
  • Duffen J; Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal.
  • Al-Jawad A; Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal.
  • Larsen F; The Cure Parkinson's Trust, London, UK.
  • Serrano A; The Cure Parkinson's Trust, London, UK.
  • Weber P; The Cure Parkinson's Trust, London, UK.
  • Thoms A; HSG-IMIT, Villingen-Schwenningen, Germany.
  • Sollinger S; Norwegian Centre for Telemedicine, Tromso, Norway.
  • Graessner H; Norwegian Centre for Telemedicine, Tromso, Norway.
  • Maetzler W; Hasomed GmbH, Magdeburg, Germany.
  • Ferreira JJ; Hasomed GmbH, Magdeburg, Germany.
J Neuroeng Rehabil ; 13: 24, 2016 Mar 12.
Article en En | MEDLINE | ID: mdl-26969628
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'.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Monitoreo Ambulatorio / Acelerometría Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: J Neuroeng Rehabil Asunto de la revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Año: 2016 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Monitoreo Ambulatorio / Acelerometría Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: J Neuroeng Rehabil Asunto de la revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Año: 2016 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Reino Unido