Title |
Brain-computer interface controlled robotic gait orthosis
|
---|---|
Published in |
Journal of NeuroEngineering and Rehabilitation, December 2013
|
DOI | 10.1186/1743-0003-10-111 |
Pubmed ID | |
Authors |
An H Do, Po T Wang, Christine E King, Sophia N Chun, Zoran Nenadic |
Abstract |
Excessive reliance on wheelchairs in individuals with tetraplegia or paraplegia due to spinal cord injury (SCI) leads to many medical co-morbidities, such as cardiovascular disease, metabolic derangements, osteoporosis, and pressure ulcers. Treatment of these conditions contributes to the majority of SCI health care costs. Restoring able-body-like ambulation in this patient population can potentially reduce the incidence of these medical co-morbidities, in addition to increasing independence and quality of life. However, no biomedical solution exists that can reverse this loss of neurological function, and hence novel methods are needed. Brain-computer interface (BCI) controlled lower extremity prostheses may constitute one such novel approach. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Spain | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 1% |
United States | 4 | 1% |
Switzerland | 1 | <1% |
France | 1 | <1% |
Cuba | 1 | <1% |
Czechia | 1 | <1% |
Netherlands | 1 | <1% |
New Zealand | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 2 | <1% |
Unknown | 342 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 75 | 21% |
Student > Master | 63 | 18% |
Researcher | 41 | 11% |
Student > Bachelor | 38 | 11% |
Student > Doctoral Student | 18 | 5% |
Other | 49 | 14% |
Unknown | 75 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 106 | 30% |
Medicine and Dentistry | 39 | 11% |
Computer Science | 23 | 6% |
Nursing and Health Professions | 22 | 6% |
Neuroscience | 22 | 6% |
Other | 59 | 16% |
Unknown | 88 | 25% |