Multi-class electrogastrogram (EGG) signal classification using machine learning algorithms

MMS Raihan, AB Shams… - 2020 23rd International …, 2020 - ieeexplore.ieee.org
Electrogastrogram (EGG) is a simple and non-invasive method in clinical practices for
assessing the stomach function by observing the gastric myoelectrical activity extracted …

High precision eye tracking based on electrooculography (EOG) signal using artificial neural network (ANN) for smart technology application

MM Alam, MMS Raihan… - … on Computer and …, 2021 - ieeexplore.ieee.org
Electrooculography (EOG) signal is the potential difference between the cornea and the
retina of the eye. The voltage amplitude changes when the eye moves in various directions …

Identification of the Resting Position Based on EGG, ECG, Respiration Rate and Using Stacked Ensemble Learning

MMS Raihan, MM Islam, F Fairoz, AB Shams - Proceedings of the …, 2022 - Springer
Rest is essential for a high-level physiological and psychological performance. It is also
necessary for the muscles to repair, rebuild, and strengthen. There is a significant correlation …

Methods for assessment of electrical activity of smooth muscles

NB Popović - Универзитет у Београду, 2021 - nardus.mpn.gov.rs
Recording of the smooth stomach muscles' electrical activity can be performed by means of
Electrogastrography (EGG), a non-invasive technique for acquisition that can provide …

Methods for Assessment of Electrical Activity of Smooth Muscles

НБ Поповић - 2021 - search.proquest.com
Recording of the smooth stomach muscles' electrical activity can be performed by means of
Electrogastrography (EGG), a non-invasive technique for acquisition that can provide …