Paper Info
Title
Handling Gait Impairments of Persons with Parkinson's Disease by Means of Real-Time Biofeedback in a Daily Life Environment.
Abstract
A smartphone app with telemedicine capability integrating data from foot-mounted inertial measurement units CuPiD-system was developed to realize a portable gait analysis system and, on top of it, to provide people with Parkinson's disease PD remote supervision and real-time feedback on gait performance. Eleven persons with PD were recommended to perform gait training for 30ï¾źmin, three times per week for six weeks. The app offered praising/corrective verbal feedback, encouraging participants to keep the spatio-temporal gait parameters within a clinically determined 'therapeutic window'. On average, persons performed 20 training sessions of 1.8ï¾źkm in 24ï¾źmin and received 28 corrective and 68 praising messages. The mean walking rhythm was 58 strides/min with a stride length of 1.28ï¾źm. System's usability was determined as positive by the users. In conclusion, CuPiD resulted to be effective in promoting gait training in semi-supervised conditions, stimulating corrective actions and promoting self-efficacy to achieve optimal performance.
Year
DOI
Venue
2016
10.1007/978-3-319-39601-9_22
ICOST
Keywords
Field
DocType
Parkinson's disease, Wearable sensors, Android APP, Tele-rehabilitation, Biofeedback, Gait
Telemedicine,Parkinson's disease,Gait training,STRIDE,Gait,Computer science,Computer security,Simulation,Usability,Gait analysis,Physical medicine and rehabilitation,Biofeedback
Conference
Volume
ISSN
Citations 
9677
0302-9743
0
PageRank 
References 
Authors
0.34
2
6
Name
Order
Citations
PageRank
Alberto Ferrari18416.64
Pieter Ginis2182.12
Alice Nieuwboer300.68
Reynold Greenlaw400.68
Andrew Muddiman551.11
Lorenzo Chiari69718.65