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dc.contributor.authorChia-Hsin Chenen_US
dc.contributor.authorWei-Zen Chenen_US
dc.contributor.authorYi-Jen Chenen_US
dc.contributor.authorLi-Wei Koen_US
dc.date.accessioned2019-04-11T06:08:22Z-
dc.date.available2019-04-11T06:08:22Z-
dc.date.issued2018-08-16en_US
dc.identifier.govdocA61B005/00en_US
dc.identifier.govdocA63B024/00en_US
dc.identifier.govdocA61B005/103en_US
dc.identifier.govdocA61B005/11en_US
dc.identifier.urihttp://hdl.handle.net/11536/151434-
dc.description.abstractA 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.isoen_USen_US
dc.titleLOWER LIMB REHABILITATION SYSTEMen_US
dc.typePatentsen_US
dc.citation.patentcountryUSAen_US
dc.citation.patentnumber20180228437en_US
Appears in Collections:Patents


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