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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wanjoo Park Wookjin Jeong Gyu-Hyun Kwon Yun-Hee Kim Laehyun Kim |
| Copyright Year | 2013 |
| Description | Author affiliation: Center for Bionics, Korea Inst. of Sci. & Technol., Seoul, South Korea (Wanjoo Park; Wookjin Jeong; Gyu-Hyun Kwon; Laehyun Kim) || Sch. of Med., Dept. of Phys. & Rehabilitation Med., Sungkyunkwan Univ., Seoul, South Korea (Yun-Hee Kim) |
| Abstract | This paper proposes a robotic hand rehabilitation device for grasp training. The device is designed for stroke patients to train and recover their hand grasp function in order to undertake activities of daily living (ADL). The device consists of a control unit, two small actuators, an infrared (IR) sensor, and pressure sensors in the grasp handle. The advantages of this device are that it is small in size, inexpensive, and available for use at home without specialist's supervision. In addition, a novel patient-driven strategy based on the patient's movement intention detected by the pressure sensors without bio-signals is introduced. Once the system detects a patient's movement intention, it triggers the robotic device to move the patient's hand to form the normal grasping behavior. This strategy may encourage stroke patients to participate in rehabilitation training to recover their hand grasp function and it may also enhance neural plasticity. A user study was conducted in order to investigate the usability, acceptability, satisfaction, and suggestions for improvement of the proposed device. The results of this survey included positive reviews from therapists and a stroke patient. In particular, therapists expected that the proposed patient-driven mode can motivate patients for their rehabilitation training and it can be effective to prevent a compensational strategy in active movements. It is expected that the proposed device will assist stroke patients in restoring their grasp function efficiently. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1379322 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467360227 |
| ISSN | 19457901 |
| e-ISBN | 9781467360241 |
| DOI | 10.1109/ICORR.2013.6650482 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Stroke Robot assist Medical treatment Grasping Robot sensing systems Rehabilitation Interviews Grasp |
| Content Type | Text |
| Resource Type | Article |
| Subject | Rehabilitation Control and Systems Engineering Electrical and Electronic Engineering |
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