A recent investigation on detection and classification of epileptic seizure techniques using EEG signal
The benefits of early detection and classification of epileptic seizures in analysis, monitoring
and diagnosis for the realization and actualization of computer-aided devices and recent …
and diagnosis for the realization and actualization of computer-aided devices and recent …
A brief overview on analysis and feature extraction of electroencephalogram signals
N Behzadfar - Signal Processing and Renewable Energy, 2022 - spre.stb.iau.ir
Human brain cells are active even during sleep and communicate through electrical
impulses. Electroencephalogram (EEG) signals can be used to extract the correct …
impulses. Electroencephalogram (EEG) signals can be used to extract the correct …
Implementation of machine learning algorithms for automated human gait activity recognition using sEMG signals
The exoskeleton or prosthesis can be controlled by recognising distinct gait activities based
on the sEMG signal. These robotic assistive devices are used for enhancing the physical …
on the sEMG signal. These robotic assistive devices are used for enhancing the physical …
Intelligent analysis of EEG signals to assess consumer decisions: A Study on Neuromarketing
N Phutela, P Abhilash, K Sreevathsan… - 2022 3rd international …, 2022 - ieeexplore.ieee.org
Neuromarketing is an emerging field that combines neuroscience and marketing to
understand the factors that influence consumer decisions better. The study proposes a …
understand the factors that influence consumer decisions better. The study proposes a …
[PDF][PDF] Efficient electro encephelogram classification system using support vector machine classifier and adaptive learning technique
Complex modern signal processing is used to automate the analysis of electro
encephelogram (EEG) signals. For the diagnosis of seizures, approaches that are simple …
encephelogram (EEG) signals. For the diagnosis of seizures, approaches that are simple …
Development of a brain–computer interface device converting brain signals to audio and written words
A brain–computer interface (BCI) is a genuine computer-based technology that converts
brain impulses into meaningful commands. For widespread usage of this technology, further …
brain impulses into meaningful commands. For widespread usage of this technology, further …
Design of endoscopic medical device
In 2018, it is believed that there were approximately 4.8 million newly diagnosed cases of
gastrointestinal (GI) cancers and about 3.4 million fatalities associated with these cancers …
gastrointestinal (GI) cancers and about 3.4 million fatalities associated with these cancers …
[PDF][PDF] Comparative analysis of convolutional neural networks and rule-based techniques for epileptic seizure detection from electroencephalograph signals using a …
EEG (Electroencephalograph) signals can be used to determine whether a person is going
to have a seizure or not. EEG has proven essential in the early detection of epileptic …
to have a seizure or not. EEG has proven essential in the early detection of epileptic …