Low-Power Neural Amplifier for High-Density Neural Sensing Applications
| Autor: | Ho,Kuan-Lun, 何寬倫 |
|---|---|
| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 This thesis, aims to design and implement a low noise, low power-consumption 4-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. 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. To further reduce area of the circuit, adopt four channel share one biasing circuit result in only 0.056mm2 for one channel makes it have great advantages than other design. This thesis describes the design of 4-channel AFE with folded-cascode and 2-stage amplifier through the National Chip Implementation Center tsmc 180nm CMOS process. The simulation results show that the area of four channels AFE is 1000μm × 1000μm and realize 59dB gain with1.71μW for each channel. The bandwidth of the AFE is from 14.7Hz to 1.94 kHz. Furthermore, the CMRR and PSRR can reach 91.8dB and 70.1dB when there is no dc offset from the input. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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