This paper provides an insight about review of EEG acquisition systems for non invasive in terms of ASIC's. The features like operating voltage, gain, input noise, NEF, current, CMRR, electrode offset rejection and input impedance etc. for ASIC's are focused and studied in detail. The comparison provided helps to select the EEG acquisition based on above parameters. Copyright © 2017 Inderscience Enterprises Ltd.

Nithya Venkatesan

Electrical

School of Electrical Engineering

Chennai Campus

Sandesh R.S

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

International Journal of Biomedical Engineering and Technology

In this paper we propose a novel technique in design and control of anthropomorphic robotic hand using EEG signals. The entire system designed is divided into three sub sections viz. design of low cost EEG amplifier, design of 5 digit robotic hand and providing an Interface between the two using LabVIEW environment. The EEG amplifier is designed using a low cost IC's LM324N and LM358. The simulation and real time implementation of FFT results match for the designed EEG amplifier. The construction of robotic hand were made using PVC tubing and Al-rubber-Al, with miniature metal gear motors of 71 RPM placed inside the palm. The analysis of motor was carried out using MATLAB/SIMULINK for with and without load. The interface between these two is provided under LabVIEW environment with NI USB DAQ-6009. The analysis for closure and opening of fingers is carried out based on thought process for three different subjects with different age groups ranges from 20 to 50 years. The results indicate that a peak signal is obtained in between the frequency range of 21 and 22 Hz with amplitude varying from 0.030 to 0.035 V. The robotic hand consumed current of 50 mA with 12 V DC supply when in action. © 2016 Inderscience Enterprises Ltd.

LabVIEW-based design and control of five-digit anthropomorphic robotic hand using EEG signals

IEEE Journal of Biomedical and Health Informatics

Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?

IEEE Journal of Solid-State Circuits

A Wearable 8-Channel Active-Electrode EEG/ETI Acquisition System for Body Area Networks

IEEE Transactions on Biomedical Circuits and Systems

A Fully Reconfigurable Low-Noise Biopotential Sensing Amplifier With 1.96 Noise Efficiency Factor

IEEE Transactions on Neural Systems and Rehabilitation Engineering

A Post-Stroke Rehabilitation System Integrating Robotics, VR and High-Resolution EEG Imaging

A survey on EEG signal acquisitions for non-invasive method ASIC's

Journal	International Journal of Biomedical Engineering and Technology
Publisher	Inderscience Publishers
ISSN	1752-6418
Open Access	0