Download PDF
neuroreha 2024; 16(04): 187-191
DOI: 10.1055/a-2427-7721
Schwerpunkt

Der Einsatz von Wearables bei Menschen mit idiopathischem Parkinson-Syndrom

Alexander Bremer
› Further Information
    Permissions and Reprints

Wer kennt sie nicht: Smartwatches oder Fitness-Tracker? Doch es gibt weit mehr dieser tragbaren elektronischen Geräte, die direkt am Körper angebracht werden und eine Vielzahl von biometrischen Daten erfassen können. Diese Wearables sind mit Sensoren ausgestattet, die eine Messung beispielsweise von Herzfrequenz, Schlafmustern, Bewegungen ermöglichen. Darauf kann sich eine individualisierte und objektivierte physiotherapeutische Therapie stützen



Publication History

Article published online:
02 December 2024

© 2024. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • Literatur

  • 1 Feigin VL, Nichols E, Alam T. et al. Global, regional, and national burden of neurological disorders, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology 2019; 18: 459-480
    CrossrefPubMedSearch in Google Scholar
  • 2 Samii A, Nutt JG, Ransom BR. Parkinson‘s disease. The Lancet 2004; 363: 1783-1793
    CrossrefPubMedSearch in Google Scholar
  • 3 Mehrholz J, Kugler J, Storch A. et al. Treadmill training for patients with Parkinson‘s disease. Cochrane Database of Systematic Reviews 2015;
    CrossrefPubMedSearch in Google Scholar
  • 4 Bjornestad A, Forsaa EB, Pedersen KF. et al. Risk and course of motor complications in a population-based incident Parkinson‘s disease cohort. Parkinsonism & Related Disorders 2016; 22: 48-53
    CrossrefPubMedSearch in Google Scholar
  • 5 Huang T, Li M, Huang J. Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson’s disease: A systematic review. Front Aging Neurosci 2023; 15: 1119956
    CrossrefPubMedSearch in Google Scholar
  • 6 Del Din S, Godfrey A, Mazzà C. et al. Free-living monitoring of Parkinson‘s disease: Lessons from the field. Mov Disord 2016; 31: 1293-1313
    CrossrefPubMedSearch in Google Scholar
  • 7 Zhao H, Cao J, Xie J. et al. Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review. Digital Health 2023; 9: 205520762311735
    CrossrefPubMedSearch in Google Scholar
  • 8 Patel S, Lorincz K, Hughes R. et al. Monitoring motor fluctuations in patients with Parkinson‘s disease using wearable sensors. IEEE Trans Inf Technol Biomed 2009; 13: 864-873
    CrossrefPubMedSearch in Google Scholar
  • 9 Rodríguez-Molinero A, Samà A, Pérez-Martínez DA. et al. Validation of a portable device for mapping motor and gait disturbances in Parkinson‘s disease. JMIR Mhealth Uhealth 2015; 3: e9
    CrossrefPubMedSearch in Google Scholar
  • 10 Löhle M, Timpka J, Bremer A. et al. Application of single wrist-wearable accelerometry for objective motor diary assessment in fluctuating Parkinson’s disease. npj Digital Medicine 2023; 6: 194
    CrossrefPubMedSearch in Google Scholar
  • 11 Hechtner MC, Vogt T, Zöllner Y. et al. Quality of life in Parkinson‘s disease patients with motor fluctuations and dyskinesias in five European countries. Parkinsonism Relat Disord 2014; 20: 969-974
    CrossrefPubMedSearch in Google Scholar
  • 12 Osborne JA, Botkin R, Colon-Semenza C. et al. Physical therapist management of Parkinson disease: A clinical practice guideline from the American Physical Therapy Association. Phys Ther 2022; 102
    CrossrefPubMedSearch in Google Scholar
  • 13 Grimes D, Fitzpatrick M, Gordon J. et al. Canadian guideline for Parkinson disease. Cmaj 2019; 191: E989-e1004
    CrossrefPubMedSearch in Google Scholar
  • 14 Gnarra O, Wulf MA, Schäfer C. et al. Rapid eye movement sleep behavior disorder: A narrative review from a technological perspective. Sleep 2023; 46
    CrossrefPubMedSearch in Google Scholar