Directions of deep brain stimulation for epilepsy and Parkinson's disease

YC Wu, YS Liao, WH Yeh, SF Liang… - Frontiers in …, 2021 - frontiersin.org
Background Deep brain stimulation (DBS) is an effective treatment for movement disorders
and neurological/psychiatric disorders. DBS has been approved for the control of Parkinson …

A fully integrated 8-channel closed-loop neural-prosthetic CMOS SoC for real-time epileptic seizure control

WM Chen, H Chiueh, TJ Chen, CL Ho… - IEEE journal of solid …, 2013 - ieeexplore.ieee.org
An 8-channel closed-loop neural-prosthetic SoC is presented for real-time intracranial EEG
(iEEG) acquisition, seizure detection, and electrical stimulation in order to suppress epileptic …

A fully integrated 16-channel closed-loop neural-prosthetic CMOS SoC with wireless power and bidirectional data telemetry for real-time efficient human epileptic …

CH Cheng, PY Tsai, TY Yang… - IEEE Journal of Solid …, 2018 - ieeexplore.ieee.org
A 16-channel closed-loop neuromodulation system-on-chip (SoC) for human epileptic
seizure control is proposed and designed. In the proposed SoC, a 16-channel neural-signal …

An ultra-low power smart headband for real-time epileptic seizure detection

SK Lin, LC Wang, CY Lin… - IEEE journal of …, 2018 - ieeexplore.ieee.org
In this paper, the design of a smart headband for epileptic seizure detection is presented.
The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) …

[HTML][HTML] AI-Based Electroencephalogram Analysis in Rodent Models of Epilepsy: A Systematic Review

M Edoho, C Mooney, L Wei - Applied Sciences, 2024 - mdpi.com
About 70 million people globally have been diagnosed with epilepsy.
Electroencephalogram (EEG) devices are the primary method for identifying and monitoring …

A fully integrated nose-on-a-chip for rapid diagnosis of ventilator-associated pneumonia

SW Chiu, JH Wang, KH Chang… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Ventilator-associated pneumonia (VAP) still lacks a rapid diagnostic strategy. This study
proposes installing a nose-on-a-chip at the proximal end of an expiratory circuit of a …

A hierarchical approach for online temporal lobe seizure detection in long-term intracranial EEG recordings

SF Liang, YC Chen, YL Wang, PT Chen… - Journal of neural …, 2013 - iopscience.iop.org
Objective. Around 1% of the world's population is affected by epilepsy, and nearly 25% of
patients cannot be treated effectively by available therapies. The presence of closed-loop …

Biogeography based hybrid scheme for automatic detection of epileptic seizures from EEG signatures

R Dhiman, JS Saini - Applied Soft Computing, 2017 - Elsevier
Abstract Biogeography Based Optimization (BBO) algorithm is one of the nature-inspired
optimization methods, based on the study of geographical distribution of species on earth …

An ultra-low power RSSI amplifier for EEG feature extraction to detect seizures

Y Zhang, N Mirchandani, S Abdelfattah… - … on Circuits and …, 2021 - ieeexplore.ieee.org
This brief presents an ultra-low power received signal strength indicator (RSSI) amplifier
circuit that can be used to detect seizures through feature extraction from …

[HTML][HTML] Automatic seizure detection based on nonlinear dynamical analysis of EEG signals and mutual information

B Akbarian, A Erfanian - Basic and Clinical Neuroscience, 2018 - ncbi.nlm.nih.gov
Methods: We use the RQA-based measures as the quantitative features of the nonlinear
EEG dynamics. Mutual Information (MI) was used to find the most relevant feature subset out …