Paper Info
Title
GaitAssist: A wearable assistant for gait training and rehabilitation in Parkinson's disease
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.
Year
DOI
Venue
2014
10.1109/PerComW.2014.6815179
Pervasive Computing and Communications Workshops
Keywords
Field
DocType
Bluetooth,diseases,gait analysis,medical computing,patient rehabilitation,smart phones,wearable computers,Android phone,Bluetooth,GaitAssist,Parkinson disease,ankle-mounted motion sensors,daily-life assistant,data streaming,feedback parameters,freezing episodes,gait freezing,gait rehabilitation,gait support,gait training,patient regular gait speed,personalized training sessions,personalized wearable system,rehabilitation exercises,rhythmic auditory sounds,unsupervised environments,wearable assistant
Rehabilitation,Android (operating system),Gait training,Rehabilitation in Parkinson's disease,Gait,Computer science,Wearable computer,Simulation,Computer network,Phone,Physical medicine and rehabilitation,Bluetooth
Conference
ISSN
Citations 
PageRank 
2474-2503
8
0.74
References 
Authors
2
4
Name
Order
Citations
PageRank
Mazilu, S.180.74
Ulf Blanke269936.03
Michael Hardegger31308.89
Gerhard Tröster42493250.70