完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chia-Hsin Chen | en_US |
dc.contributor.author | Wei-Zen Chen | en_US |
dc.contributor.author | Yi-Jen Chen | en_US |
dc.contributor.author | Li-Wei Ko | en_US |
dc.date.accessioned | 2019-04-11T06:08:22Z | - |
dc.date.available | 2019-04-11T06:08:22Z | - |
dc.date.issued | 2018-08-16 | en_US |
dc.identifier.govdoc | A61B005/00 | en_US |
dc.identifier.govdoc | A63B024/00 | en_US |
dc.identifier.govdoc | A61B005/103 | en_US |
dc.identifier.govdoc | A61B005/11 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/151434 | - |
dc.description.abstract | A lower limb rehabilitation system includes an analysis platform, a smart insole, a motion sensor and a brain wave sensor. The analysis platform has a deep learning model. The smart insole generates plural pressure signals through plural pressure sensors of a pressure sensing film. The smart insole includes a processing unit controlling a transmission unit to transmit the pressure signals to the analysis platform. The processing unit is connected to a power supply unit. The motion sensor generates a motion signal. The brain wave sensor is coupled with the analysis platform and detects a brain wave signal. The analysis platform inputs the pressure signals, the motion signal and the brain wave signal into the deep learning model for analyzing a gait. The deep learning model analyzes whether the gait is correct. The analysis platform generates a warning message if the gait is analyzed to be incorrect. | en_US |
dc.language.iso | en_US | en_US |
dc.title | LOWER LIMB REHABILITATION SYSTEM | en_US |
dc.type | Patents | en_US |
dc.citation.patentcountry | USA | en_US |
dc.citation.patentnumber | 20180228437 | en_US |
顯示於類別: | 專利資料 |