Title :
GaitAssist: A wearable assistant for gait training and rehabilitation in Parkinson´s disease
Author :
Mazilu, Sinziana ; Blanke, Ulf ; Hardegger, Michael ; Troster, G. ; Gazit, Eran ; Dorfman, Moran ; Hausdorff, Jeffrey M.
Author_Institution :
Wearable Comput. Lab., ETH Zurich, Zurich, Switzerland
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.
Keywords :
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; Data models; Legged locomotion; Parkinson´s disease; Real-time systems; Sensors; Smart phones; Training;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on
Conference_Location :
Budapest
DOI :
10.1109/PerComW.2014.6815179