{"title":"15.2 enob连续时间ΔΣ ADC，用于200mvpp线性输入范围神经记录前端","authors":"H. Chandrakumar, D. Markovic","doi":"10.1109/ISSCC.2018.8310269","DOIUrl":null,"url":null,"abstract":"Closed-loop neuromodulation with simultaneous stimulation and sensing is desired to advance deep brain stimulation (DBS) therapies. However, stimulation generates large artifacts (∼100mV) at the recording sites that saturate traditional front-ends. We present a 15.2b-ENOB CT ΔΣΜ with 187dB FOM, which along with an 8x-gain capacitively coupled chopper instrumentation amplifier (CCIA), realizes a front-end that can digitize neural signals (<2mV<inf>pp</inf>) from 1Hz to 5kHz in the presence of 200mV<inf>pp</inf> artifacts. Neural recording front-ends need to function within a power budget of 10μW/ch, input-referred noise of 4–8μV<inf>rms</inf> in 1Hz-5kHz, DC input impedance Z<inf>in, DC</inf>>1GΩ and high-pass (HP) cutoff <1Hz [1]. Prior work has addressed power and noise [1]-[2], but has limited dynamic-range and bandwidth (BW), making them incapable of performing true closed-loop operation.","PeriodicalId":6617,"journal":{"name":"2018 IEEE International Solid - State Circuits Conference - (ISSCC)","volume":"34 1","pages":"232-234"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A 15.2-ENOB continuous-time ΔΣ ADC for a 200mVpp-linear-input-range neural recording front-end\",\"authors\":\"H. Chandrakumar, D. Markovic\",\"doi\":\"10.1109/ISSCC.2018.8310269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Closed-loop neuromodulation with simultaneous stimulation and sensing is desired to advance deep brain stimulation (DBS) therapies. However, stimulation generates large artifacts (∼100mV) at the recording sites that saturate traditional front-ends. We present a 15.2b-ENOB CT ΔΣΜ with 187dB FOM, which along with an 8x-gain capacitively coupled chopper instrumentation amplifier (CCIA), realizes a front-end that can digitize neural signals (<2mV<inf>pp</inf>) from 1Hz to 5kHz in the presence of 200mV<inf>pp</inf> artifacts. Neural recording front-ends need to function within a power budget of 10μW/ch, input-referred noise of 4–8μV<inf>rms</inf> in 1Hz-5kHz, DC input impedance Z<inf>in, DC</inf>>1GΩ and high-pass (HP) cutoff <1Hz [1]. Prior work has addressed power and noise [1]-[2], but has limited dynamic-range and bandwidth (BW), making them incapable of performing true closed-loop operation.\",\"PeriodicalId\":6617,\"journal\":{\"name\":\"2018 IEEE International Solid - State Circuits Conference - (ISSCC)\",\"volume\":\"34 1\",\"pages\":\"232-234\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Solid - State Circuits Conference - (ISSCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCC.2018.8310269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Solid - State Circuits Conference - (ISSCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCC.2018.8310269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 15.2-ENOB continuous-time ΔΣ ADC for a 200mVpp-linear-input-range neural recording front-end
Closed-loop neuromodulation with simultaneous stimulation and sensing is desired to advance deep brain stimulation (DBS) therapies. However, stimulation generates large artifacts (∼100mV) at the recording sites that saturate traditional front-ends. We present a 15.2b-ENOB CT ΔΣΜ with 187dB FOM, which along with an 8x-gain capacitively coupled chopper instrumentation amplifier (CCIA), realizes a front-end that can digitize neural signals (<2mVpp) from 1Hz to 5kHz in the presence of 200mVpp artifacts. Neural recording front-ends need to function within a power budget of 10μW/ch, input-referred noise of 4–8μVrms in 1Hz-5kHz, DC input impedance Zin, DC>1GΩ and high-pass (HP) cutoff <1Hz [1]. Prior work has addressed power and noise [1]-[2], but has limited dynamic-range and bandwidth (BW), making them incapable of performing true closed-loop operation.
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