Title :
Foot worn inertial sensors for gait assessment and rehabilitation based on motorized shoes
Author :
Aminian, K. ; Mariani, B. ; Paraschiv-Ionescu, A. ; Hoskovec, C. ; Büla, C. ; Penders, J. ; Tacconi, C. ; Marcellini, F.
Author_Institution :
Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Fall prevention in elderly subjects is often based on training and rehabilitation programs that include mostly traditional balance and strength exercises. By applying such conventional interventions to improve gait performance and decrease fall risk, some important factors are neglected such as the dynamics of the gait and the motor learning processes. The EU project "Self Mobility Improvement in the eLderly by counteractING falls" (SMILING project) aimed to improve age-related gait and balance performance by using unpredicted external perturbations during walking through motorized shoes that change insole inclination at each stance. This paper describes the shoe-worn inertial module and the gait analysis method needed to control in real-time the shoe insole inclination during training, as well as gait spatio-temporal parameters obtained during long distance walking before and after the 8-week training program that assessed the efficacy of training with these motorized shoes.
Keywords :
biomedical equipment; gait analysis; geriatrics; mechanoception; patient rehabilitation; spatiotemporal phenomena; wireless sensor networks; age-related gait performance; balance performance; elderly subjects; fall prevention; fall risk; foot worn inertial sensors; gait analysis method; gait assessment; gait spatiotemporal parameter; long distance walking; motorized shoes; rehabilitation program; shoe insole inclination; shoe-worn inertial module; time 8 week; training program; unpredicted external perturbation; Foot; Footwear; Gyroscopes; Legged locomotion; Senior citizens; Sensors; Training; Acceleration; Actigraphy; Biofeedback, Psychology; Equipment Design; Equipment Failure Analysis; Foot; Gait Disorders, Neurologic; Humans; Monitoring, Ambulatory; Robotics; Self-Help Devices; Shoes;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091440