@inproceedings{Avila-Mireles2015b,
abstract = {Robotic devices have been used successfully in assisted rehabilitation to increase, in continuity and intensity, the effects of neuromuscular stimulation. However, information resulting from the Patient-Robot interaction is not yet analyzed for diagnosis purposes. The neuromuscular reaction to a controlled stimulation, measured in terms of physiologic and mechanic variables, can be used to establish a common causal relation in healthy people to be used as a reference to evaluate the state of a patient, and thus, reinforce or reconsider its treatment. In this paper, we analyze the upper limb EMG patterns induced kinesthetically by uniform and cyclic trajectories using a haptic interface, and we show the existence of common patterns in healthy volunteers and how these patterns together with the mechanical response, can be used as a reference in diagnosis by means of a Similitude Index; we describe the EMG signals considered in this work, the experimental conditions to induce their activation patterns, and we discuss about some experimental results obtained with healthy volunteers and stroke patients.},
author = {Avila-Mireles, Edwin J. and Ruiz-S{\'{a}}nchez, Francisco J. and Garc{\'{i}}a-Salazar, Octavio},
booktitle = {2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015},
doi = {10.1109/ICEEE.2015.7357984},
keywords = {Human Motor Control, Sensorimotor Learning, Physical Human Robot Interaction},
title = {{EMG patterns induced in upper limb by haptic guidance for diagnosis and treatment evaluation}},
url={https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7357984},
year = {2015}
}