Gabriel Gagnon-Turcotte, C. Fall, Q. Mascret, M. Bielmann, L. Bouyer, B. Gosselin
{"title":"基于0.13 \\ \\mu \\math {m}$ CMOS混合信号SoC的多通道无线表面肌电信号传感器","authors":"Gabriel Gagnon-Turcotte, C. Fall, Q. Mascret, M. Bielmann, L. Bouyer, B. Gosselin","doi":"10.1109/LSC.2018.8572118","DOIUrl":null,"url":null,"abstract":"This paper presents a wireless multichannel surface electromyography (sEMG) sensor which features a custom 0.13- $\\mu \\mathrm{m}$ CMOS mixed-signal system-on-chip (SoC) analog frontend circuit. The proposed sensor includes 10 sEMG recording channels with tunable bandwidth (BW) and analog-to-digital converter (ADC) resolution. The SoC includes 10x bioamplifiers, $10\\mathrm{x}3^{rd}$ order $\\Delta \\Sigma$ MASH 1-1-1 ADC, and 10x on-chip decimation filters (DF). This SoC provides the sEMG samples data through a serial peripheral interface (SPI) bus to a microcontroller unit (MCU) that then transfers the data to a wireless transceiver. We report sEMG waveforms acquired using a custom multichannel electrode module, and a comparison with a commercial grade system. Results show that the proposed integrated wireless SoC-based system compares well with the commercial grade sEMG recording system. The sensor has an input-referred noise of $2.5 \\ \\mu \\mathbf{V}_{rms}$ (BW of 10–500 Hz), an input-dynamic range of 6 $\\mathbf{mV}_{pp}$, a programmable sampling rate of 2 ksps, for sEMG, while consuming only $7.1 \\ \\mu \\mathrm{W}/\\mathrm{Ch}$ for the SoC (w/ ADC & DF) and 21.8 mW of power for the sensor (Transceiver, MCU, etc.). The system lies on a $1.5 \\ \\mathrm{x}\\ 2.0\\ \\mathrm{cm}^{2}$ printed circuit board and weights $< 1\\mathrm{g}$.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Multichannel Wireless sEMG Sensor Endowing a $0.13 \\\\ \\\\mu \\\\mathrm{m}$ CMOS Mixed-Signal SoC\",\"authors\":\"Gabriel Gagnon-Turcotte, C. Fall, Q. Mascret, M. Bielmann, L. Bouyer, B. Gosselin\",\"doi\":\"10.1109/LSC.2018.8572118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a wireless multichannel surface electromyography (sEMG) sensor which features a custom 0.13- $\\\\mu \\\\mathrm{m}$ CMOS mixed-signal system-on-chip (SoC) analog frontend circuit. The proposed sensor includes 10 sEMG recording channels with tunable bandwidth (BW) and analog-to-digital converter (ADC) resolution. The SoC includes 10x bioamplifiers, $10\\\\mathrm{x}3^{rd}$ order $\\\\Delta \\\\Sigma$ MASH 1-1-1 ADC, and 10x on-chip decimation filters (DF). This SoC provides the sEMG samples data through a serial peripheral interface (SPI) bus to a microcontroller unit (MCU) that then transfers the data to a wireless transceiver. We report sEMG waveforms acquired using a custom multichannel electrode module, and a comparison with a commercial grade system. Results show that the proposed integrated wireless SoC-based system compares well with the commercial grade sEMG recording system. The sensor has an input-referred noise of $2.5 \\\\ \\\\mu \\\\mathbf{V}_{rms}$ (BW of 10–500 Hz), an input-dynamic range of 6 $\\\\mathbf{mV}_{pp}$, a programmable sampling rate of 2 ksps, for sEMG, while consuming only $7.1 \\\\ \\\\mu \\\\mathrm{W}/\\\\mathrm{Ch}$ for the SoC (w/ ADC & DF) and 21.8 mW of power for the sensor (Transceiver, MCU, etc.). The system lies on a $1.5 \\\\ \\\\mathrm{x}\\\\ 2.0\\\\ \\\\mathrm{cm}^{2}$ printed circuit board and weights $< 1\\\\mathrm{g}$.\",\"PeriodicalId\":254835,\"journal\":{\"name\":\"2018 IEEE Life Sciences Conference (LSC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Life Sciences Conference (LSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LSC.2018.8572118\",\"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 Life Sciences Conference (LSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LSC.2018.8572118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multichannel Wireless sEMG Sensor Endowing a $0.13 \ \mu \mathrm{m}$ CMOS Mixed-Signal SoC
This paper presents a wireless multichannel surface electromyography (sEMG) sensor which features a custom 0.13- $\mu \mathrm{m}$ CMOS mixed-signal system-on-chip (SoC) analog frontend circuit. The proposed sensor includes 10 sEMG recording channels with tunable bandwidth (BW) and analog-to-digital converter (ADC) resolution. The SoC includes 10x bioamplifiers, $10\mathrm{x}3^{rd}$ order $\Delta \Sigma$ MASH 1-1-1 ADC, and 10x on-chip decimation filters (DF). This SoC provides the sEMG samples data through a serial peripheral interface (SPI) bus to a microcontroller unit (MCU) that then transfers the data to a wireless transceiver. We report sEMG waveforms acquired using a custom multichannel electrode module, and a comparison with a commercial grade system. Results show that the proposed integrated wireless SoC-based system compares well with the commercial grade sEMG recording system. The sensor has an input-referred noise of $2.5 \ \mu \mathbf{V}_{rms}$ (BW of 10–500 Hz), an input-dynamic range of 6 $\mathbf{mV}_{pp}$, a programmable sampling rate of 2 ksps, for sEMG, while consuming only $7.1 \ \mu \mathrm{W}/\mathrm{Ch}$ for the SoC (w/ ADC & DF) and 21.8 mW of power for the sensor (Transceiver, MCU, etc.). The system lies on a $1.5 \ \mathrm{x}\ 2.0\ \mathrm{cm}^{2}$ printed circuit board and weights $< 1\mathrm{g}$.