Grant: Collaborative Research and Development Grants
University of Waterloo
$67,275.00
Automated rehabilitation system for knee and hip rehabilitation
EF 2012-13
Résumé
Canada's aging population is expected to create an increasing burden on health care resources, particularly those treatments and procedures which are cost and labour intensive such as rehabilitation. One example is knee and hip rehabilitation, typically following joint replacement surgery. The demand for knee/hip rehabilitation is expected to increase significantly as our population ages. Currently, such rehabilitation requires a one-to-one patient therapist ratio. The therapist observes human movement, performs assessment and recommends treatment. The protocol is time-intensive for the therapist and requires subjective human movement evaluation by the therapist, which may be difficult to measure accurately by eye and therapist dependent. This research project proposes the development of an automated rehabilitation system to enable quantitative measurement of human motion during the performance of rehabilitation exercises. Small wearable sensors worn by the patient and embedded in the rehabilitation equipment will transmit real-time movement data to a nearby computer. The project will develop hardware, software and user interfaces to enable automatic assessment of movement performance from the measured data to provide real time feedback to the patient and the therapist. The software will also enable recording of the movement data, so that the patient's performance over time can be analyzed for diagnosis and treatment evaluation and selection.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
433802-2012
Name nom
Kulic, Danica
Department département
Electrical & Computer Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2012
Award amount
67275
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1101
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Partie
1
Nb partie
3
Application title
Automated rehabilitation system for knee and hip rehabilitation
Keyword
NSERC
Application summary
Canada's aging population is expected to create an increasing burden on health care resources, particularly those treatments and procedures which are cost and labour intensive such as rehabilitation. One example is knee and hip rehabilitation, typically following joint replacement surgery. The demand for knee/hip rehabilitation is expected to increase significantly as our population ages. Currently, such rehabilitation requires a one-to-one patient therapist ratio. The therapist observes human movement, performs assessment and recommends treatment. The protocol is time-intensive for the therapist and requires subjective human movement evaluation by the therapist, which may be difficult to measure accurately by eye and therapist dependent. This research project proposes the development of an automated rehabilitation system to enable quantitative measurement of human motion during the performance of rehabilitation exercises. Small wearable sensors worn by the patient and embedded in the rehabilitation equipment will transmit real-time movement data to a nearby computer. The project will develop hardware, software and user interfaces to enable automatic assessment of movement performance from the measured data to provide real time feedback to the patient and the therapist. The software will also enable recording of the movement data, so that the patient's performance over time can be analyzed for diagnosis and treatment evaluation and selection.