Xiaolin Yang, M. Ballini, C. Sawigun, Wen-Yang Hsu, J. Weijers, J. Putzeys, C. Lopez
{"title":"用于神经信号采集的128通道交流耦合一阶Δ-Δ∑IC","authors":"Xiaolin Yang, M. Ballini, C. Sawigun, Wen-Yang Hsu, J. Weijers, J. Putzeys, C. Lopez","doi":"10.1109/vlsitechnologyandcir46769.2022.9830236","DOIUrl":null,"url":null,"abstract":"In this paper, we present a miniature 128-channel neural recording IC (NRIC) for the simultaneous acquisition of local field potentials (LFPs) and action potentials (APs). An AC-coupled 1st-order Δ-ΔΣ architecture is proposed to achieve rail-to-rail electrode DC offset rejection, low power and small area, while providing low noise and larger input range compared to other AC-coupled designs. This digitally-intensive architecture leverages the advantages of a highly-scaled technology node (22nm FD-SOI). The fabricated NRIC achieves a total area per channel of 0.005mm2, a total power per channel of 8.3μW, and an input-referred noise of 7.7±0.4μVrms in the AP band and 11.9±1.1μVrms in the LFP band. The chip has been fully validated in saline, demonstrating its capability to successfully record full-band neural signals.","PeriodicalId":332454,"journal":{"name":"2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A 128-Channel AC-Coupled 1st-order Δ-Δ∑ IC for Neural Signal Acquisition\",\"authors\":\"Xiaolin Yang, M. Ballini, C. Sawigun, Wen-Yang Hsu, J. Weijers, J. Putzeys, C. Lopez\",\"doi\":\"10.1109/vlsitechnologyandcir46769.2022.9830236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a miniature 128-channel neural recording IC (NRIC) for the simultaneous acquisition of local field potentials (LFPs) and action potentials (APs). An AC-coupled 1st-order Δ-ΔΣ architecture is proposed to achieve rail-to-rail electrode DC offset rejection, low power and small area, while providing low noise and larger input range compared to other AC-coupled designs. This digitally-intensive architecture leverages the advantages of a highly-scaled technology node (22nm FD-SOI). The fabricated NRIC achieves a total area per channel of 0.005mm2, a total power per channel of 8.3μW, and an input-referred noise of 7.7±0.4μVrms in the AP band and 11.9±1.1μVrms in the LFP band. The chip has been fully validated in saline, demonstrating its capability to successfully record full-band neural signals.\",\"PeriodicalId\":332454,\"journal\":{\"name\":\"2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830236\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 128-Channel AC-Coupled 1st-order Δ-Δ∑ IC for Neural Signal Acquisition
In this paper, we present a miniature 128-channel neural recording IC (NRIC) for the simultaneous acquisition of local field potentials (LFPs) and action potentials (APs). An AC-coupled 1st-order Δ-ΔΣ architecture is proposed to achieve rail-to-rail electrode DC offset rejection, low power and small area, while providing low noise and larger input range compared to other AC-coupled designs. This digitally-intensive architecture leverages the advantages of a highly-scaled technology node (22nm FD-SOI). The fabricated NRIC achieves a total area per channel of 0.005mm2, a total power per channel of 8.3μW, and an input-referred noise of 7.7±0.4μVrms in the AP band and 11.9±1.1μVrms in the LFP band. The chip has been fully validated in saline, demonstrating its capability to successfully record full-band neural signals.