A PVT-Robust AFE-Embedded Error-Feedback Noise-Shaping SAR ADC With Chopper-Based Passive High-Pass IIR Filtering for Direct Neural Recording

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dc.contributor.authorJeong, Kyeongwonko
dc.contributor.authorJung, Yoontaeko
dc.contributor.authorYun, Gichanko
dc.contributor.authorYoun, Donghyunko
dc.contributor.authorJo, Yehhyunko
dc.contributor.authorLee, Hyunjoo Jennyko
dc.contributor.authorHa, Sohmyungko
dc.contributor.authorJe, Minkyuko
dc.date.accessioned2022-10-25T09:03:54Z-
dc.date.available2022-10-25T09:03:54Z-
dc.date.created2022-10-25-
dc.date.created2022-10-25-
dc.date.issued2022-08-
dc.identifier.citationIEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, v.16, no.4, pp.679 - 691-
dc.identifier.issn1932-4545-
dc.identifier.urihttp://hdl.handle.net/10203/299118-
dc.description.abstractThis paper presents a PVT-robust error-feedback (EF) noise-shaping SAR (NS-SAR) ADC for direct neural-signal recording. For closed-loop bidirectional neural interfaces enabling the next generation neurological devices, a wide-dynamic-range neural recording circuit is required to accommodate stimulation artifacts. A recording structure using an NS-SAR ADC can be a good candidate because the high resolution and wide dynamic range can be obtained with a low oversampling ratio and power consumption. However, NS-SAR ADCs require an additional gain stage to obtain a well-shaped noise transfer function (NTF), and a dynamic amplifier is often used as the gain stage to minimize power overhead at the cost of vulnerability to PVT variations. To overcome this limitation, the proposed work reutilizes the capacitive-feedback amplifier, which is the analog front-end of the neural recording circuit, as a PVT-robust gain stage to achieve a reliable NS performance. In addition, a new chopper-based implementation of a passive high-pass IIR filter is proposed, achieving an improved NTF compared to prior EF NS-SAR ADCs. Fabricated in a 180-nm CMOS process, the proposed NS-SAR ADC consumes 4.3-mu W power and achieves a signal-to-noise-and-distortion ratio (SNDR) of 71.7 dB and 82.7 dB for a bandwidth of 5 kHz and 300 Hz, resulting in a Schreier figure of merit (FOM) of 162.4 dB and 162.1 dB, respectively. Direct neural recording using the proposed NS-SAR ADC is demonstrated successfully in vivo, and also its tolerance against stimulation artifacts is validated in vitro.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleA PVT-Robust AFE-Embedded Error-Feedback Noise-Shaping SAR ADC With Chopper-Based Passive High-Pass IIR Filtering for Direct Neural Recording-
dc.typeArticle-
dc.identifier.wosid000866527900019-
dc.identifier.scopusid2-s2.0-85135747727-
dc.type.rimsART-
dc.citation.volume16-
dc.citation.issue4-
dc.citation.beginningpage679-
dc.citation.endingpage691-
dc.citation.publicationnameIEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS-
dc.identifier.doi10.1109/TBCAS.2022.3193944-
dc.contributor.localauthorLee, Hyunjoo Jenny-
dc.contributor.localauthorJe, Minkyu-
dc.contributor.nonIdAuthorHa, Sohmyung-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorRecording-
dc.subject.keywordAuthorPower demand-
dc.subject.keywordAuthorNeuromodulation-
dc.subject.keywordAuthorNoise shaping-
dc.subject.keywordAuthorIIR filters-
dc.subject.keywordAuthorVoltage-controlled oscillators-
dc.subject.keywordAuthorSignal resolution-
dc.subject.keywordAuthorError-feedback noise-shaping SAR-
dc.subject.keywordAuthornoise transfer function-
dc.subject.keywordAuthorAFE-embedded-
dc.subject.keywordAuthorlow power-
dc.subject.keywordAuthorPVT-robust-
dc.subject.keywordAuthorpassive high-pass IIR filter-
dc.subject.keywordAuthorneural recording-
dc.subject.keywordAuthorbidirectional neural interface-
dc.subject.keywordAuthorclosed-loop neuromodulation-
dc.subject.keywordPlusDEEP BRAIN-STIMULATION-
dc.subject.keywordPlusCLOSED-LOOP-
dc.subject.keywordPlusPARKINSONS-DISEASE-
dc.subject.keywordPlusAMPLIFIER-
dc.subject.keywordPlusWIRELESS-
dc.subject.keywordPlusNEUROMODULATION-
dc.subject.keywordPlusHARDWARE-
dc.subject.keywordPlusDAC-
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