Mobile biometrische Ganganalyse: Potenzial für Diagnose und Therapiemonitoring beim Parkinson-Syndrom

Translated title of the contribution: Mobile biosensor-based gait analysis: A diagnostic and therapeutic tool in Parkinson's disease

J. Klucken*, J. Barth, K. Maertens, B. Eskofier, P. Kugler, R. Steidl, J. Hornegger, J. Winkler

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

Summary: Parkinson's disease (PD) is characterized by progressive motor and non-motor symptoms, leading to distinct diagnostic and therapeutic challenges in all stages of the disease. This study investigated a mobile biosensor-based gait analysis system for patients in early and intermediate stages of PD compared to controls. Subjects wearing a motion sensor-equipped shoe performed a standardized gait exercise. Accelerometer-and gyroscope-based signals were analysed using a complex set of pattern recognition algorithms. The analysis was able (1) to distinguish between PD patients and controls, (2) to identify patients at an early stage of the disease and (3) to distinguish between early and intermediate stage patients. Thus, using this mobile biosensor-based analysis system we were able to obtain objective classifications of gait characteristics in PD. Future studies will show that mobile biosensor-based movement detection technology will support identification of early PD stages and allow objective characterization of motor fluctuations in advanced stages of the disease. This will provide an important and supportive tool for patients, caregivers and therapists.

Translated title of the contributionMobile biosensor-based gait analysis: A diagnostic and therapeutic tool in Parkinson's disease
Original languageGerman
Pages (from-to)1604-1611
Number of pages8
JournalDer Nervenarzt
Volume82
Issue number12
DOIs
Publication statusPublished - Dec 2011
Externally publishedYes

Keywords

  • Biosensor system
  • Gait disorder Gait analysis
  • Parkinson's disease
  • Pattern recognition

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