Title :
Adaptive spike detection method based on capacitor arrays dedicated to implantable neural recording microsystems
Author :
Barati, Saied ; Sodagar, Amir M.
Author_Institution :
Electr. Eng. Dept., S. Rajaee Univ., Tehran, Iran
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
An analog spike detector circuit is presented, which adaptively generates a threshold level for spike detection based on hard-thresholding. Operation of the circuit was tested not only with a neural signal obtained from real in-vivo recording from a live animal, but also with a large sinusoidal baseline variation intentionally added to examine the capability of the circuit to track baseline variations as large as 50mV. The circuit runs at 3.3V supply voltage and dissipates 270μW.
Keywords :
bioelectric potentials; biomedical electronics; capacitors; detector circuits; medical signal detection; neurophysiology; prosthetics; adaptive spike detection method; analog spike detector circuit; capacitor arrays; implantable neural recording microsystems; live animal; power 270 muW; real in-vivo recording; threshold level; voltage 3.3 V; Capacitors; Conferences; Detectors; Electroencephalography; Feature extraction; Noise measurement; Wireless communication; Electronics, Medical; Neurosciences; Prostheses and Implants;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627339
