AIMC Topic: Intention

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Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2017
This paper presents the preliminary findings of a multi-year clinical study evaluating the effectiveness of adding a brain-machine interface (BMI) to the MAHI-Exo II, a robotic upper limb exoskeleton, for elbow flexion/extension rehabilitation in chr...
Humans Brain Female Aged Male Middle Aged Robotics Elbow Electroencephalography Signal Processing, Computer-Assisted Intention Brain-Computer Interfaces Upper Extremity Stroke Rehabilitation
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[Research of Partial Least Squares Decoding Method for Motion Intent].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 1, 2016
Due to the sparsity of brain encoding,the neural ensemble signals recorded by microelectrode arrays contain a lot of noise and redundant information,which could reduce the stability and precision of decoding of motion intent.To solve this problem,we ...
Humans Brain Support Vector Machine Least-Squares Analysis Electroencephalography Intention Microelectrodes Movement
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Compliant gait assistance triggered by user intention.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
An automatic gait initialization strategy based on user intention sensing in the context of rehabilitation with a lower-limb wearable robot is proposed and evaluated. The proposed strategy involves monitoring the human-orthosis interaction torques an...
Humans Algorithms Adult Lower Extremity Robotics Stroke Walking Gait Intention Spinal Cord Injuries Orthotic Devices Adaptation, Physiological Stroke Rehabilitation
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