This work presents an 8-channel closed-loop neuromodulation chipset with 2-level seizure
classification. The power-consuming fine classifier is only enabled when the coarse …

Dysarthria is a condition in which the muscles used for speech get weakened due to
neurological disorders such as facial paralysis, stroke, and brain injury. Owing to this …

This paper presents an open source framework called Creamino. It consists of an Arduino-
based cost-effective quick-setup EEG platform built with off-the-shelf components and a set …

Biopotential imaging (eg, ECGi, EEGi, EMGi) processes multiple potential signals, each
requiring an electrode applied to the body's skin. Conventional approaches based on …

This paper presents the design, development and implementation of a reconfigurable low-
cost biopotential amplifier trainer module (RTR module) and quantitative analysis of the …

This thesis presents the design, implementation, and evaluation of a novel wearable device
for simultaneous electroencephalography (EEG) and photoplethysmography (PPG) …

This paper focuses on utilizing Electroencephalography (EEG) signals and machine
learning techniques in develo** an objective stress assessment framework. The study …

New Electroencephalogram-EEG systems demand larger number electrodes, such as ultra-
dense EEG network. They are constituted of 256 or 512 electrodes that require a pair of …

Dense wired networks, such as ultra-dense EEG network, comprised of 256 or 512
electrodes for temporal and spatial analysis of the brain, demand a large amount of wiring …

Data acquisition system in the processing of brain waves or Electroencephalography is a
essential process in the operation of the EEG. Acquisition of data which related to …