Restration for drop foot with all-in-one FES system
| Project/Area Number |
12557122
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Orthopaedic surgery
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| Research Institution | Akita University |
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Principal Investigator |
SHIMADA Yoichi Akita University School of Medicine, Associate Professor, 医学部, 助教授 (90162685)
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| Co-Investigator(Kenkyū-buntansha) |
MATUNAGA Toshiki Akita University School of Medicine, Research Associate, 医学部, 助手 (50312715)
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| Project Period (FY) |
2000 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥4,100,000 (Direct Cost: ¥4,100,000)
Fiscal Year 2001: ¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 2000: ¥2,000,000 (Direct Cost: ¥2,000,000)
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| Keywords | FES / herniplegio / drop foot / electrode / sensor |
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| Research Abstract |
Our advances in the detection of the swing phase in foot drop gait using an acceleration sensor was described. The heel sensor system was used for the restoration of foot drop gait with functional electrical stimulation (FES) in our group. However there are still complications when placing the heel sensor. To replace the heel sensor, we measured the acceleration of the thigh during gait using an acceleration sensor. The detector was synthesized using a rule induction algorithm, by the name of, Neural Network. We have applied a signal for heel contact in a gait using the heel sensor before training with the Neural Network. The accuracy of the Neural Network detector was compared with a swing phase detector based on the heel sensor. The Neural Network detector was able to detect similarly the swing phase in the heel sensor. The largest difference in timing was less than 60 msec. An acceleration sensor, which was put on the thigh, was useful in detection the swing phase.
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Report
(3 results)
Research Products
(15 results)
