Title |
A survey on robotic devices for upper limb rehabilitation
|
---|---|
Published in |
Journal of NeuroEngineering and Rehabilitation, January 2014
|
DOI | 10.1186/1743-0003-11-3 |
Pubmed ID | |
Authors |
Paweł Maciejasz, Jörg Eschweiler, Kurt Gerlach-Hahn, Arne Jansen-Troy, Steffen Leonhardt |
Abstract |
The existing shortage of therapists and caregivers assisting physically disabled individuals at home is expected to increase and become serious problem in the near future. The patient population needing physical rehabilitation of the upper extremity is also constantly increasing. Robotic devices have the potential to address this problem as noted by the results of recent research studies. However, the availability of these devices in clinical settings is limited, leaving plenty of room for improvement. The purpose of this paper is to document a review of robotic devices for upper limb rehabilitation including those in developing phase in order to provide a comprehensive reference about existing solutions and facilitate the development of new and improved devices. In particular the following issues are discussed: application field, target group, type of assistance, mechanical design, control strategy and clinical evaluation. This paper also includes a comprehensive, tabulated comparison of technical solutions implemented in various systems. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | <1% |
Canada | 5 | <1% |
United Kingdom | 4 | <1% |
Singapore | 2 | <1% |
Italy | 1 | <1% |
Hong Kong | 1 | <1% |
Switzerland | 1 | <1% |
Germany | 1 | <1% |
Netherlands | 1 | <1% |
Other | 5 | <1% |
Unknown | 1109 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 242 | 21% |
Student > Master | 217 | 19% |
Student > Bachelor | 115 | 10% |
Researcher | 110 | 10% |
Student > Doctoral Student | 54 | 5% |
Other | 164 | 14% |
Unknown | 234 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 592 | 52% |
Medicine and Dentistry | 59 | 5% |
Computer Science | 49 | 4% |
Nursing and Health Professions | 37 | 3% |
Neuroscience | 33 | 3% |
Other | 89 | 8% |
Unknown | 277 | 24% |