GaitAssist: A wearable assistant for gait training and rehabilitation in Parkinson's disease

Sinziana Mazilu, Ulf Blanke, Michael Hardegger, Gerhard Troster, Eran Gazit, Moran Dorfman, Jeffrey M. Hausdorff

Research output: Contribution to conferencePaperpeer-review

Abstract

Many patients with Parkinson's disease suffer from short periods during which they cannot continue walking, the so-called freezing of gait. Patients can learn to use rhythmic auditory sounds as support during these episodes. We developed GaitAssist, a personalized wearable system for freezing of gait support, that enables training in unsupervised environments. GaitAssist detects freezing episodes from ankle-mounted motion sensors, which stream data via Bluetooth to an Android phone. In response, the system plays a rhythmic auditory sound that adapts to the patient's regular gait speed. While GaitAssist can be used as a daily-life assistant, it also provides support for three types of training and rehabilitation exercises. The user can create personalized training sessions by adjusting the exercise and feedback parameters.

Original languageEnglish
Pages135-137
Number of pages3
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 - Budapest, Hungary
Duration: 24 Mar 201428 Mar 2014

Conference

Conference2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014
Country/TerritoryHungary
CityBudapest
Period24/03/1428/03/14

Fingerprint

Dive into the research topics of 'GaitAssist: A wearable assistant for gait training and rehabilitation in Parkinson's disease'. Together they form a unique fingerprint.

Cite this