Title :
Low-Noise Biopotential Recording Circuit with Correlated Timeshare Sampling
Author :
Hongge Li ; Weidong Cao
Author_Institution :
Sch. of Electron. Inf. Eng., Beihang Univ., Beijing, China
Abstract :
Low-noise biopotential readout circuit for CMOS front-end micro system is presented using correlated double sampling (CDS) technology. CDS technology provides an excellent method for the reduction of KTC noise and 1/f noise in low-frequency signal processing, and because of its simple circuit structure it can be a widespread application for neural signal recording. The proposed readout circuit consists of close-loop bioamplifier with active DC-offset suppression and output stage of standard switched-capacitors (SC) circuit. As demonstrated by the simulation results, the readout circuit with CDS significantly suppresses low-frequency noise which focuses in the biopotential signal range from 10Hz to 10 KHz. The power spectrum is plotted in the low frequency range.
Keywords :
1/f noise; CMOS integrated circuits; DC amplifiers; bioelectric potentials; brain; closed loop systems; medical signal processing; microelectrodes; neurophysiology; prosthetics; signal denoising; signal sampling; 1/f noise; CDS technology; CMOS front-end microsystem; KTC noise reduction; active DC-offset suppression; biopotential signal; close-loop bioamplifier; correlated double sampling technology; correlated timeshare sampling; frequency 10 Hz to 10 kHz; low-frequency noise; low-frequency signal processing; low-noise biopotential readout circuit; low-noise biopotential recording circuit; neural signal recording; output stage; power spectrum; simple circuit structure; standard switched-capacitors circuit; CMOS integrated circuits; Capacitors; Correlation; Low-frequency noise; Switches; biopotential recording; correlated timeshare sampling; low-noise; readout circuit;
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.334
