Title |
A novel walking speed estimation scheme and its application to treadmill control for gait rehabilitation
|
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Published in |
Journal of NeuroEngineering and Rehabilitation, August 2012
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DOI | 10.1186/1743-0003-9-62 |
Pubmed ID | |
Authors |
Jungwon Yoon, Hyung-Soon Park, Diane Louise Damiano |
Abstract |
Virtual reality (VR) technology along with treadmill training (TT) can effectively provide goal-oriented practice and promote improved motor learning in patients with neurological disorders. Moreover, the VR + TT scheme may enhance cognitive engagement for more effective gait rehabilitation and greater transfer to over ground walking. For this purpose, we developed an individualized treadmill controller with a novel speed estimation scheme using swing foot velocity, which can enable user-driven treadmill walking (UDW) to more closely simulate over ground walking (OGW) during treadmill training. OGW involves a cyclic acceleration-deceleration profile of pelvic velocity that contrasts with typical treadmill-driven walking (TDW), which constrains a person to walk at a preset constant speed. In this study, we investigated the effects of the proposed speed adaptation controller by analyzing the gait kinematics of UDW and TDW, which were compared to those of OGW at three pre-determined velocities. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Italy | 1 | <1% |
Austria | 1 | <1% |
Netherlands | 1 | <1% |
Czechia | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Luxembourg | 1 | <1% |
Unknown | 213 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 19% |
Student > Master | 37 | 17% |
Student > Bachelor | 27 | 12% |
Researcher | 15 | 7% |
Student > Doctoral Student | 15 | 7% |
Other | 39 | 18% |
Unknown | 46 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 59 | 27% |
Medicine and Dentistry | 29 | 13% |
Nursing and Health Professions | 14 | 6% |
Sports and Recreations | 14 | 6% |
Psychology | 10 | 5% |
Other | 37 | 17% |
Unknown | 59 | 27% |