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The rehabilitation in children with Spastic Hemiparesis is essential to recover voluntary movement. The lack of low-cost robotic devices for treating this condition in Mexico motivated the development of a useful device using comfortable, lightweight and durable materials. The device is an active assisting and portable mechanism that improves the motor abilities of the upper body (arms and hands)...
Gradient boosting is a machine learning method, that builds one strong classifier from many weak classifiers. In this work, an algorithm based on gradient boosting is presented, that detects event-related potentials in single electroencephalogram (EEG) trials. The algorithm is used to detect the P300 in the human EEG and to build a brain-computer interface (BCI), specifically a spelling device. Important...
A brain-computer interface (BCI) is a communication system, that implements the principle of "think and make it happen without any physical effort". This means a BCI allows a user to act on his environment only by using his thoughts, without using peripheral nerves and muscles. Nearly all BCIs contain as a core part a machine learning algorithm, which learns from training data a function,...
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