DocumentCode
2975706
Title
Low-power amplifier for in-vivo EEG signal recording
Author
Zarifi, Telnaz ; Peng, Chung-Ching ; Zarifi, Mohammad Hossein
Author_Institution
Dept. of Electr. & Comput. Eng., Islamic Azad Univ., Tabriz, Iran
fYear
2011
fDate
21-24 Feb. 2011
Firstpage
19
Lastpage
22
Abstract
There is an increasing demand for more advanced and effective medical devices due to the interest on real-time personal home health monitoring. The electroencephalogram (EEG) is a common noninvasive method for various applications, such as the prediction of epileptic seizure and brain-computer interfaces (BCIs). A key component of an EEG monitoring systems is the acquisition circuitry with ultra low-power dissipation. This paper presents the implementation of an EEG signal amplifier. The presented amplifier has been designed and simulated in 90nm 1P9M CMOS technology, consumes 3.6 μW from a 1.2 V supply voltage and occupies an active area of 0.048 mm2. The bandwidth widens from a low-frequency cutoff of below 0.1 Hz to a high-frequency cutoff of 10 kHz which is suitable for EEG signals. The amplifier is simulated using the real EEG signal recorded using EEG-1100 machine in Emam Reza hospital.
Keywords
CMOS integrated circuits; biomedical electronics; biomedical telemetry; body sensor networks; brain-computer interfaces; diseases; electroencephalography; low-power electronics; medical signal detection; operational amplifiers; patient monitoring; real-time systems; CMOS technology; EEG-1100 machine; acquisition circuitry; amplifier design; brain-computer interfaces; electroencephalogram recording; epileptic seizure; in-vivo wearable EEG signal recording; low-power signal amplifier; real-time personal home health monitoring; swing current mode OTA; Biomedical monitoring; CMOS integrated circuits; CMOS technology; Electroencephalography; Monitoring; Noise; Transistors;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering (MECBME), 2011 1st Middle East Conference on
Conference_Location
Sharjah
Print_ISBN
978-1-4244-6998-7
Type
conf
DOI
10.1109/MECBME.2011.5752055
Filename
5752055
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