Embedded Brain Machine Interface based on motor imagery paradigm to control prosthetic hand

No abstract is available for this paper.

• Publication year

  2016

• Venue

  IEEE ANDESCON

• Publication date

  2016-10-01

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1109/ANDESCON.2016.7836266
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Embedded EEG Recording Module with Active Electrodes for Motor Imagery Brain-Computer Interface

  2016cited by this paper
• A Versatile Embedded Platform for EMG Acquisition and Gesture Recognition

  2015cited by this paper
• SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks

  2015cited by this paper
• Implementation of ECG sensor for real time signal processing applications

  2014cited by this paper
• Bci-based assistive robot arm

  2013cited by this paper
• An embedded system for an EEG based BCI

  2013cited by this paper
• Wireless-based portable EEG-EOG monitoring for real time drowsiness detection

  2013cited by this paper
• Brain-machine interface based on EEG mapping to control an assistive robotic arm

  2012cited by this paper
• Mental tasks-based brain-robot interface

  2010cited by this paper
• Single trial motor imagery classification for a four state brain machine interface

  2009cited by this paper
• Feature extraction for EEG-based brain–computer interfaces by wavelet packet best basis decomposition

  2006cited by this paper
• The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

  2004cited by this paper
• Brain–computer interfaces: a review

  2003cited by this paper

• AMANet: a data-augmented multi-scale temporal attention convolutional network for motor imagery classification

  2026cites this paper
• A double-branch graph convolutional network based on individual differences weakening for motor imagery EEG classification

  2023cites this paper
• Electroencephalogram based Control of Prosthetic Hand using Optimizable Support Vector Machine

  2023cites this paper
• Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs

  2023cites this paper
• Review of Performance Improvement of a Noninvasive Brain-computer Interface in Communication and Motor Control for Clinical Applications

  2023cites this paper
• Channels Selection for Pattern Recognition of Five Fingers Motor Imagery Electroencephalography Signals

  2022cites this paper
• Effect of EOG Artifact Removal on EEG Motor-Imagery Classification

  2022cites this paper
• A Motor Imagery Signals Classification Method via the Difference of EEG Signals Between Left and Right Hemispheric Electrodes

  2022cites this paper
• Embedded Brain Computer Interface: State-of-the-Art in Research

  2021cites this paper
• Low-Power Human-Machine Interfaces: Analysis And Design

  2020cites this paper
• EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces

  2020cites this paper
• An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing

  2020cites this paper
•  BioWolf: A Sub-10-mW 8-Channel Advanced Brain–Computer Interface Platform With a Nine-Core Processor and BLE Connectivity

  2019cites this paper
• An embedded implementation based on adaptive filter bank for brain-computer interface systems.

  2018cites this paper
• Conception d'une architecture embarquée adaptable pour le déploiement d'applications d'interface cerveau machine

  2017cites this paper
• Robot umanoidi e tecniche di interazione naturale per servizi di accoglienza ed informazioni = Humanoid robots and natural interaction techniques for reception and information services

  2017cites this paper
• A hybrid approach for the actuation of upper limb prostheses based on computer vision

  2017cites this paper
• Conception d'une architecture embarquée adaptable pour le déploiement d'applications d'interface cerveau machine. (Design of an adaptable embedded architecture for the deployment of brain-machine interface applications)

  2017cites this paper