Addressing Low Frequency Movement Artifacts in EEG Signals Recorded During Center-Out Reaching Tasks

Philips, Gavin ;   Khodam Hazrati, Mehrnaz ;   Daly, Janis J. ;   Principe, Jose

Tags Brain-computer/machine interface

The successful application of noninvasive braincomputer interfaces (BCI) to neurological rehabilitation requires examination of low frequency...

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Classification of Hand Movement Direction Based on EEG High-Gamma Activity

Loza, Carlos ;   Philips, Gavin ;   Khodam Hazrati, Mehrnaz ;   Daly, Janis J. ;   Principe, Jose

Tags Brain-computer/machine interfaceWearable systems for neurorehabilitation - Decoding algorithmsBrain functional imaging - EEG

The Electroencephalogram (EEG) is a non-invasive technique used in the medical field to record and analyze brain activity. In particular, Brain...

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Decoding the Non-Stationary Neuron Spike Trains by Dual Monte Carlo Point Process Estimation in Motor Brain Machine Interfaces

Liao, Yuxi ;   Li, Hongbao ;   Zhang, Qiaosheng ;   Gong, Fan ;   Wang, Yiwen ;   Zheng, Xiaoxiang

Tags Brain-computer/machine interfaceNeural signal processing

Decoding algorithm in motor Brain Machine Interfaces translates the neural signals to movement parameters. They usually assume the connection...

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High-Performance Brain-Machine Interface Enabled by an Adaptive Optimal Feedback-Controlled Point Process Decoder

Shanechi, Maryam ;   Orsborn, Amy ;   Moorman, Helene ;   Gowda, Suraj ;   Carmena, Jose M.

Tags Motor neuroprosthesesBrain-computer/machine interfaceBrain physiology and modeling

Brain-machine interface (BMI) performance has been improved using Kalman filters (KF) combined with closed-loop decoder adaptation (CLDA)....

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Object Discrimination Using Optimized Multi-Frequency Auditory Cross-Modal Haptic Feedback

Gibson, Alison ;   Artemiadis, Panagiotis

Tags Brain-computer/machine interfaceMotor neuroprostheses - Prostheses

As the field of brain-machine interfaces and neuro-prosthetics continues to grow, there is a high need for sensor and actuation mechanisms...

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Subject-To-Subject Adaptation to Reduce Calibration Time in Motor Imagery-Based Brain-Computer Interface

Arvaneh, Mahnaz ;   Robertson, Ian ;   Ward, Tomas

Tags Brain-computer/machine interfaceNeural signal processing

In order to enhance the usability of a motor imagery-based brain-computer interface (BCI), it is highly desirable to reduce the calibration...

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