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- W70247097 abstract "When patients are training with robotic rehabilitation systems they are often lacking supervision by an expert like a physiotherapist, who can detect rehabilitation-relevant events (e.g. fatigue or spasticity) and intervene if necessary. Thus, a patient supervision suitable for robot assisted rehabilitation which analyses the patient’s movement as well as neurological events is presented here. The supervision is achieved by comparing kinematic and kinetic data during the rehabilitation exercise with the kinematic and kinetic data recorded beforehand during the teaching of the exercise. A fuzzy logic system is used to evaluate the compared kinematic data to evaluate the movement of the patient during each repetition. The kinetic data is used for detection of spasticity. Preliminary measurements with healthy subjects were performed as well to extract mathematical parameters which correspond to rehabilitation-relevant events." @default.
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- W70247097 date "2013-01-01" @default.
- W70247097 modified "2023-10-16" @default.
- W70247097 title "Detection of Rehabilitation-Relevant Events during Endeffector Based Robot Assisted Rehabilitation of Upper Extremities" @default.
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- W70247097 doi "https://doi.org/10.1007/978-3-642-34546-3_124" @default.
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