Abstract
This paper presents a novel high-throughput impedance measurement integrated circuit (IC) with baseline cancellation for neural EIT applications. The proposed technique uses a peak detector to obtain impedance magnitude every cycle. After taking the peak, the peak detector is reset to a DC baseline voltage. And, the signal swinging between the amplitude and the reset baseline is further amplified, allowing to measure small impedance variations even with a large baseline. The proposed IC fabricated in a 180-nm standard CMOS process can measure impedance variations of >0.1% baseline can be measured, while achieving high throughput of 100 kS/s at 100 kHz input frequency. Scalable design allows the proposed IC to support a wide frequency range from 100 Hz to 100 kHz with a power consumption from 31 μW to 39 μW from a 1.2-V supply.
Original language | English |
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Title of host publication | ISCAS 2024 - IEEE International Symposium on Circuits and Systems |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350330991 |
DOIs | |
State | Published - 2024 |
Event | 2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024 - Singapore, Singapore Duration: 19 May 2024 → 22 May 2024 |
Publication series
Name | Proceedings - IEEE International Symposium on Circuits and Systems |
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ISSN (Print) | 0271-4310 |
Conference
Conference | 2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024 |
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Country/Territory | Singapore |
City | Singapore |
Period | 19/05/24 → 22/05/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Neural EIT
- baseline cancellation
- frame rate
- high throughput
- low power
- peak detection