Title :
A multichannel analog front-end for recording neural electrical signals
Author :
Yuan Feng ; Zhi-Gong Wang ; Xiao-Ying Lu ; An Shuai ; Li Xian
Author_Institution :
Inst. of RF- & OE-ICs, Southeast Univ., Nanjing, China
Abstract :
Recent work in the field of neurophysiology has demonstrated that it is possible to reveal the nature of “memory” and “thinking” which helps to understand how brain works, by means of observing the firing characteristic of action potentials (AP) and the exchange pattern of signals between neurons. To address these needs, we have developed a prototype of a fully integrated circuit for neural recording on a Micro-Electrode Array (MEA). In this scheme, the MEA is composed by 64 electrodes and 2 reference electrodes. The proposed integrated circuit has an area of 5×5 mm2, including 8 recording channels. Each channel can operate independently to execute amplifying, filtering, etc. The circuits are designed and simulated in a standard 0.5μm CMOS technology. According to the simulation results, this chip is able to record AP signal from neurons.
Keywords :
analogue integrated circuits; bioelectric potentials; biomedical electrodes; biomedical electronics; microelectrodes; neurophysiology; MEA; action potentials; memory; microelectrode array; multichannel analog front end; neural electrical signal recording; neural recording integrated circuit prototype; neuron signal exchange pattern; neurophysiology; reference electrodes; size 5 mm; thinking; Arrays; Bioinformatics; CMOS integrated circuits; Electrodes; Layout; Neurons; Noise; analog integrated circuits; micro-electrode arrays; neural amplifier; neural signal recording; pseudo resistor;
Conference_Titel :
Bioelectronics and Bioinformatics (ISBB), 2014 IEEE International Symposium on
Conference_Location :
Chung Li
Print_ISBN :
978-1-4799-2769-2
DOI :
10.1109/ISBB.2014.6820944