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<p>Design of a Low Offset, Low Noise Amplifier for Neural Recording Applications</p>

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Title Statement <p>Design of a Low Offset, Low Noise Amplifier for Neural Recording Applications</p>
 
Added Entry - Uncontrolled Name Laskar, N M; Department of ECE, National Institute of Technology Silchar-788 010, India
Nath, S ; Department of ECE, National Institute of Technology Silchar-788 010, India
Guha, K ; Department of ECE, National Institute of Technology Silchar-788 010, India
Paul, P K; Department of ECE, National Institute of Technology Silchar-788 010, India
Baishnab, K L; Department of ECE, National Institute of Technology Silchar-788 010, India
 
Uncontrolled Index Term Neural Amplifier; Recycling Folded Cascode; Low Random Offset Voltage; High Gain; Area-Offset trade-off; Capacitive Feedback
 
Summary, etc. <p class="Abstract"><span lang="EN-GB">The design of a capacitive feedback based neural recording amplifier is presented. The prime design requirements in case of neural amplifiers includes low noise, high gain, high CMRR, low power, low area and low offset voltage. However, there is an inherent trade-off between noise-power and area-offset in the design process which needs to be addressed. A Recycling Folded Cascode based Operational Transconductance Amplifier (RFC-OTA) topology is employed to realize the amplifier as it offers better gain and offset voltage as compared to other topologies. The sizing of the transistors has been done with the primary objective of low random offset voltage while meeting other design criteria within the specified range subject to all inherent trade-offs. Simulations have been done in Cadence Virtuoso using SCL 180 nm technology and comparative analysis with other reported designs reveals that the proposed RFC-OTA based neural amplifier design <span>achieves a low random offset voltage of 1.4 mV with a low input noise of 1.38 µV as compared to most of the reported design.</span></span></p><br />
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2020-07-29 12:49:53
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/38448
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 05
 
Language Note en