[HTML][HTML] Brain computer interfacing: Applications and challenges

SN Abdulkader, A Atia, MSM Mostafa - Egyptian Informatics Journal, 2015 - Elsevier
Brain computer interface technology represents a highly growing field of research with
application systems. Its contributions in medical fields range from prevention to neuronal …

The role of real-time in biomedical science: A meta-analysis on computational complexity, delay and speedup

O Faust, W Yu, UR Acharya - Computers in biology and medicine, 2015 - Elsevier
Purpose: The concept of real-time is very important, as it deals with the realizability of
computer based health care systems. Method: In this paper we review biomedical real-time …

[图书][B] Повреждение нервной ткани: механизмы, модели, методы оценки

ГЗ Суфианова, АГ Шапкин - 2014 - elibrary.ru
В монографии представлены авторские методы моделирования и исследованы
электрофизиологические нарушения при повреждении головного и спинного мозга …

Platforms to implement signal detection metrics in adaptive response-deadline procedures

T Alailima, J Bower, M Omernick, WE Martucci… - US Patent …, 2023 - Google Patents
Example systems, methods, and apparatus, including cognitive platforms, are provided for
applying signal detection metrics in computer-implemented adaptive response-deadline …

[PDF][PDF] EEG based patient monitoring system for mental alertness using adaptive neuro-fuzzy approach

D Begum, KM Ravikumar, J Mathew, S Kubakaddi… - J. Med …, 2015 - academia.edu
Recent electrophysiological studies support command-specific changes in the
electroencephalography (EEG) that have promoted their intensive application in the …

[HTML][HTML] Hybrid self organizing map and probabilistic quadratic loss multi-class support vector machine for mental tasks classification

M Hendel, A Benyettou, F Hendel - Informatics in Medicine Unlocked, 2016 - Elsevier
Brain computer interface provides communication opportunity between the brain and the
environment around a person with severe motor disabilities. However, the implementation of …

Extreme gradient boosting classification of motor imagery using common spatial patterns

M Vijay, A Kashyap, A Nagarkatti… - 2020 IEEE 17th India …, 2020 - ieeexplore.ieee.org
Brain Computer Interfaces (BCI) based on motor imagery are used to discriminate between
various classes of mentally simulated movement by modelling changes in brain activity. We …

Using mixed linear programming to classify BCI signals submission

GP Dimitrov, IS Kostadinova… - 2019 IEEE 60th …, 2019 - ieeexplore.ieee.org
There are a lot of possibilities to control devices remotely nowadays. Doing this with brain
waves is not a science fiction anymore. The first steps for device control by brain are already …

Highly parallel online bioelectrical signal processing on GPU architecture

Z Juhasz - 2017 40th International Convention on Information …, 2017 - ieeexplore.ieee.org
Signal processing is of central importance in biomedical systems, in which pre-processing
steps are unavoidable in order to reduce noise, remove unwanted artefacts, segment time …

Performance Enhancement of Motor Imagery EEG Signals Using Feature Extraction and Classification with Time Domain Statistical Parameters of Brain–Computer …

PS Thanigaivelu, SS Sridhar… - … Conference on Innovative …, 2022 - Springer
According to a current evolving real paradigm in neuroscience innovation, humans may use
brain impulses to interact with, effect, or transform their environment. People may use the …