Low-Noise Chopper Stabilized Open-Loop Neural Amplifier for High-Density Neural Sensing Applications
碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 104 === This thesis, aims to design and implement a low noise, low power-consumption 64-channel electrophysiological signal analog front-end amplifier (AFE), which can be applied to various types of weak physiological signal acquisition and medical instrumentation...
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| Format: | Others |
| Language: | zh-TW |
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2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/78afzd |
| Summary: | 碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 104 === This thesis, aims to design and implement a low noise, low power-consumption 64-channel electrophysiological signal analog front-end amplifier (AFE), which can be applied to various types of weak physiological signal acquisition and medical instrumentation systems applications. Instead of using big capacitors at the input node to block the dc offset voltage and enlarging the input device area to reduce the low frequency noise from input neural signal, this fully integrated analog front-end circuit adopts digital compensation circuit to cancel the offset and chopper stabilization technique to reduce the noise for achieving low-noise and energy efficiency. To further reduce area of the circuit, adopt four channel share one digital compensation circuit result in only 0.03mm2 for one channel makes it have great advantages than other design. This thesis describes the design of 64-channel AFE with digital compensation through the National Chip Implementation Center tsmc 90nm CMOS process. The simulation results show that the area of four channels AFE is 358.02μm × 358.86μm and realize 57.9dB gain with 9.848μW for each channel. The bandwidth of the AFE is from 7.74Hz to 4.18kHz. Furthermore, the CMRR and PSRR can reach 99.1dB and 65.13dB when there is no dc offset from the input.
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