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Showing 1 to 4 of 4 for “"Biosignal Processing"”.

  1. Design and Implementation of Complexity Reduced Digital Signal Processors for Low Power Biomedical Applications

    … capable of signal sensing, acquisition, local processing and transmission. A generic biopotential signal (such as Electrocardiogram (ECG), and Electroencephalogram (EEG)) processing platform consists of four main functional components. The signals acquired by the electrodes are amplified and …

    westminster Repository record for Design and Implementation of Complexity Reduced Digital Signal Processors for Low Power Biomedical Applications (opens in a new tab)

  2. Adaptation and Control State Detection Techniques for Brain-Computer Interfaces

    A brain computer interface (BCI) is an alternate channel of communication between the user and the computer, without having to go through the usual neuromuscular pathways. Using BCI, disabled patients can communicate with a computer or control a prosthetic device just by modulating his/her brain …

    nus Repository record for Adaptation and Control State Detection Techniques for Brain-Computer Interfaces (opens in a new tab)

  3. EEG-based Brain Computer Interface with Deep Learning

    Electroencephalogram (EEG)-based Brain Computer Interfaces (BCI) are very important and have been widely used in multiple application domains, ranging from human-computer interaction to medical and biomedical applications. To overcome the challenge of EEG representation learning, we propose a Long …

    queens Repository record for EEG-based Brain Computer Interface with Deep Learning (opens in a new tab)