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Quantitative Assessment of Upper Limb Motion in Neurorehabilitation Utilizing Inertial Sensors

机译:利用惯性传感器定量评估神经康复中的上肢运动

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Two inertial sensor systems were developed for 3-D tracking of upper limb movement. One utilizes four sensors and a kinematic model to track the positions of all four upper limb segments/joints and the other uses one sensor and a dead reckoning algorithm to track a single upper limb segment/joint. Initial evaluation indicates that the system using the kinematic model is able to track orientation to 1 degree and position to within 0.1 cm over a distance of 10 cm. The dead reckoning system combined with the “zero velocity update” correction can reduce errors introduced through double integration of errors in the estimate in offsets of the acceleration from several meters to 0.8% of the total movement distance. Preliminary evaluation of the systems has been carried out on ten healthy volunteers and the kinematic system has also been evaluated on one patient undergoing neurorehabilitation over a period of ten weeks. The initial evaluation of the two systems also shows that they can monitor dynamic information of joint rotation and position and assess rehabilitation process in an objective way, providing additional clinical insight into the rehabilitation process.
机译:开发了两个惯性传感器系统,用于3-D跟踪上肢运动。一种使用四个传感器和运动学模型来跟踪所有四个上肢节段/关节的位置,另一个使用一个传感器和航位推算算法来跟踪单个上肢节段/关节。初步评估表明,使用运动学模型的系统能够在10厘米的距离内将方向跟踪到1度并将位置跟踪到0.1厘米之内。航位推算系统与“零速度更新”校正相结合,可以减少由于误差的双重积分而导致的误差,加速度的偏差从几米到总移动距离的0.8%。对十名健康志愿者进行了系统的初步评估,还对一名在十周内进行神经康复的患者进行了运动系统评估。对这两个系统的初步评估还表明,它们可以监视关节旋转和位置的动态信息,并以客观的方式评估康复过程,从而为康复过程提供更多的临床见解。

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