Handling Gait Impairments of Persons with Parkinson's Disease by Means of Real-Time Biofeedback in a Daily Life Environment

被引：8
作者：
Ferrari, Alberto [1 ]
Ginis, Pieter [2 ]
Nieuwboer, Alice [2 ]
Greenlaw, Reynold [3 ]
Muddiman, Andrew [3 ]
Chiari, Lorenzo [1 ]
机构：
[1] Univ Bologna, Dept Elect Elect & Informat Engn, Guglielmo Marconi, Bologna, Italy
[2] Katholieke Univ Leuven, Dept Rehabiliat Sci, Neuromotor Rehabil Res Grp, Leuven, Belgium
[3] Oxford Comp Consultants Ltd, OCC, Oxford, England
来源：
INCLUSIVE SMART CITIES AND DIGITAL HEALTH | 2016年 / 9677卷
关键词：
Parkinson's disease; Wearable sensors; Android APP; Tele-rehabilitation; Biofeedback; Gait; WALKING; PEOPLE; MANAGEMENT; MOVEMENT; FEATURES; SENSORS; MOTOR; CUES;
D O I：
10.1007/978-3-319-39601-9_22
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 30 min, 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 1.8 km in 24 min and received 28 corrective and 68 praising messages. The mean walking rhythm was 58 strides/min with a stride length of 1.28 m. 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.
引用
收藏
页码：250 / 261
页数：12
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