Neuromorphic Approach based Current Sensing Analog to Digital Converter for Biomedical Applications
IR@CEERI: CSIR-Central Electronics Engineering Research Institute, Pilani
View Archive Info| Field | Value | |
| Title |
Neuromorphic Approach based Current Sensing Analog to Digital Converter for Biomedical Applications
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| Creator |
Singhal, N
Santosh, M Bose, SC Karmakar, A |
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| Subject |
Sensors and Nanotechnology
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| Description |
A current sensing analog-to-digital converter (CADC) targeting biomedical applications is proposed in this
paper. The proposed architecture consists of a leaky integrate and fire (LIF) neuron model inspired from neuromorphic circuits along with digital control circuits and error correction circuit to enhance INL/DNL performance. The architecture is tuned for input signal ranging from 1 µA to 64 µA with power supply of 1/1.8 V for digital and analog blocks respectively. The
design is implemented in 0.18 µm CMOS 1P4M triple-well
process of Tower Jazz Semiconductor's technology. Total power consumption of the circuit is 1.95 mW & 48.86 µW respectively and achieves FoM of 331.6 & 71.24 pJ/conversion-step for the cases with and without error correction for 6-bits operation.
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| Date |
2020
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| Type |
Conference or Workshop Item
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://ceeri.csircentral.net/565/1/162020.pdf
Singhal, N and Santosh, M and Bose, SC and Karmakar, A (2020) Neuromorphic Approach based Current Sensing Analog to Digital Converter for Biomedical Applications. In: 17th IEEE India Council International Conference (INDICON-2020), December 11-13, 2020, NSUT, New Delhi, India. |
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| Relation |
http://ceeri.csircentral.net/565/
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