Essays about: "Brain Computer Interface BCI"

Showing result 6 - 10 of 28 essays containing the words Brain Computer Interface BCI.

  1. 6. Implementation of a Simple Asynchronous Pipeline Framework (SAPF) for construction of real-time BCI systems

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Tom Andersen; [2021]
    Keywords : Technology and Engineering;

    Abstract : This thesis attempts to implement a library in pure Python for building real-time Brain-Computer Interface (BCI) systems. The library does this by employing nodes containing data transformation methods—filtering, classification, data acquisition, and more. These nodes are linked together to create pipelines of nodes in which data flows. READ MORE

  3. 7. NSGA-II DESIGN FOR FEATURE SELECTION IN EEG CLASSIFICATION RELATED TO MOTOR IMAGERY

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Robin Johansson; [2020]
    Keywords : ;

    Abstract : Feature selection is an important step regarding Electroencephalogram (EEG) classification, for a Brain-Computer Interface (BCI) systems, related to Motor Imagery (MI), due to large amount of features, and few samples. This makes the classification process computationally expensive, and limits the BCI systems real-time applicability. READ MORE

  4. 8. Decoding Electrocorticography Signals by Deep Learning for Brain-Computer Interface

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Guillaume JUBIEN; [2019]
    Keywords : Deep learning; BCI; ECoG; Spatial filtering;

    Abstract : Brain-Computer Interface (BCI) offers the opportunity to paralyzed patients to control their movements without any neuromuscular activity. Signal processing of neuronal activity enables to decode movement intentions. Ability for patient to control an effector is closely linked to this decoding performance. READ MORE

  5. 9. Development of an Intelligent Embedded Interface for Interpreting Biosignals Recorded by Novel Wearable Devices

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Diego Argüello Ron; [2019]
    Keywords : ;

    Abstract : In recent years there has been a considerable development in the realm of sensing technologies, embedded systems, wireless communication technologies, nanotechnologies, and miniaturization has made it possible to create smart wearable systems that can record data from the human bodies and monitor our daily activities. Most expectations for the successful deployment of wearable devices and their tangible impact for the society is in healthcare. READ MORE

  6. 10. Statistical and machine learning methods for classification of episodic memory

    University essay from Lunds universitet/Matematisk statistik

    Author : Damir Basic Knezevic; Albin Heimerson; [2018]
    Keywords : Mathematics and Statistics;

    Abstract : Multiple modern methods of statistical feature extraction and machine learning are applied to classification of encoding and retrieval of episodic memories us- ing electroencephalogram (EEG) recordings. Raw data, different time-frequency methods, and multiclass common spatial patterns are used for statistical feature ex- traction. READ MORE