| Autor: |
Minkyu Je, Doojin Jang, Jaesuk Choi, Hyuntak Jeon, Junghyup Lee, Taeju Lee, Seok-Tae Koh |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT). |
| DOI: |
10.1109/rfit.2018.8524035 |
| Popis: |
This paper presents a neural recording amplifier that operates in environments where large common-mode signals interfere. The proposed scheme employs two types of LDOs that generate isolated supply voltages and a buffer to sense a common-mode signal. Thanks to the isolated supply rails, both the intrinsic common-mode rejection ratio (ICMRR) and common-mode input impedance of the low-noise amplifier (LNA) are increased, which leads to the total common-mode rejection ratio (TCMRR) above 89.2 dB up to 1 kHz even in 16-channel recording with a shared reference electrode. Compared to the conventional method, the TCMRR is improved by 48.7 dB even for 28% mismatch of the electrode-tissue impedance (ETI) and 1% mismatch of the LNA input capacitances. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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