A Fully Integrated 64-Channel Recording System for Extracellular Raw Neural Signals
This paper presents a fully integrated 64-channel neural recording system for local field potential and action potential. It mainly includes 64 low-noise amplifiers, 64 programmable amplifiers and filters, 9 switched-capacitor (SC) amplifiers, and a 10-bit successive approximation register analogue-...
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MDPI AG
2021
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oai:doaj.org-article:f3618ac2e1964343810188bd211400d42021-11-11T15:42:56ZA Fully Integrated 64-Channel Recording System for Extracellular Raw Neural Signals10.3390/electronics102127262079-9292https://doaj.org/article/f3618ac2e1964343810188bd211400d42021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2726https://doaj.org/toc/2079-9292This paper presents a fully integrated 64-channel neural recording system for local field potential and action potential. It mainly includes 64 low-noise amplifiers, 64 programmable amplifiers and filters, 9 switched-capacitor (SC) amplifiers, and a 10-bit successive approximation register analogue-to-digital converter (SAR ADC). Two innovations have been proposed. First, a two-stage amplifier with high-gain, rail-to-rail input and output, and dynamic current enhancement improves the speed of SC amplifiers. The second is a clock logic that can be used to align the switching clock of 64 channels with the sampling clock of ADC. Implemented in an SMIC 0.18 μm Complementary Metal Oxide Semiconductor (CMOS) process, the 64-channel system chip has a die area of 4 × 4 mm<sup>2</sup> and is packaged in a QFN−88 of 10 × 10 mm<sup>2</sup>. Supplied by 1.8 V, the total power is about 8.28 mW. For each channel, rail-to-rail electrode DC offset can be rejected, the referred-to-input noise within 1 Hz–10 kHz is about 5.5 μV<sub>rms</sub>, the common-mode rejection ratio at 50 Hz is about 69 dB, and the output total harmonic distortion is 0.53%. Measurement results also show that multiple neural signals are able to be simultaneously recorded.Xiangwei ZhangQuan LiChengying ChenYan LiFuqiang ZuoXin LiuHao ZhangXiaosong WangYu LiuMDPI AGarticle64-channelneural recording systemlow noise amplifiersSAR ADCclock logicElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2726, p 2726 (2021) |
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64-channel neural recording system low noise amplifiers SAR ADC clock logic Electronics TK7800-8360 |
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64-channel neural recording system low noise amplifiers SAR ADC clock logic Electronics TK7800-8360 Xiangwei Zhang Quan Li Chengying Chen Yan Li Fuqiang Zuo Xin Liu Hao Zhang Xiaosong Wang Yu Liu A Fully Integrated 64-Channel Recording System for Extracellular Raw Neural Signals |
| description |
This paper presents a fully integrated 64-channel neural recording system for local field potential and action potential. It mainly includes 64 low-noise amplifiers, 64 programmable amplifiers and filters, 9 switched-capacitor (SC) amplifiers, and a 10-bit successive approximation register analogue-to-digital converter (SAR ADC). Two innovations have been proposed. First, a two-stage amplifier with high-gain, rail-to-rail input and output, and dynamic current enhancement improves the speed of SC amplifiers. The second is a clock logic that can be used to align the switching clock of 64 channels with the sampling clock of ADC. Implemented in an SMIC 0.18 μm Complementary Metal Oxide Semiconductor (CMOS) process, the 64-channel system chip has a die area of 4 × 4 mm<sup>2</sup> and is packaged in a QFN−88 of 10 × 10 mm<sup>2</sup>. Supplied by 1.8 V, the total power is about 8.28 mW. For each channel, rail-to-rail electrode DC offset can be rejected, the referred-to-input noise within 1 Hz–10 kHz is about 5.5 μV<sub>rms</sub>, the common-mode rejection ratio at 50 Hz is about 69 dB, and the output total harmonic distortion is 0.53%. Measurement results also show that multiple neural signals are able to be simultaneously recorded. |
| format |
article |
| author |
Xiangwei Zhang Quan Li Chengying Chen Yan Li Fuqiang Zuo Xin Liu Hao Zhang Xiaosong Wang Yu Liu |
| author_facet |
Xiangwei Zhang Quan Li Chengying Chen Yan Li Fuqiang Zuo Xin Liu Hao Zhang Xiaosong Wang Yu Liu |
| author_sort |
Xiangwei Zhang |
| title |
A Fully Integrated 64-Channel Recording System for Extracellular Raw Neural Signals |
| title_short |
A Fully Integrated 64-Channel Recording System for Extracellular Raw Neural Signals |
| title_full |
A Fully Integrated 64-Channel Recording System for Extracellular Raw Neural Signals |
| title_fullStr |
A Fully Integrated 64-Channel Recording System for Extracellular Raw Neural Signals |
| title_full_unstemmed |
A Fully Integrated 64-Channel Recording System for Extracellular Raw Neural Signals |
| title_sort |
fully integrated 64-channel recording system for extracellular raw neural signals |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/f3618ac2e1964343810188bd211400d4 |
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