Title :
24.1 A miniaturized 64-channel 225μW wireless electrocorticographic neural sensor
Author :
Muller, Rudolf ; Hanh-Phuc Le ; Wen Li ; Ledochowitsch, Peter ; Gambini, Simone ; Bjorninen, Toni ; Koralek, Aaron ; Carmena, Jose M. ; Maharbiz, Michel M. ; Alon, Elad ; Rabaey, Jan M.
Author_Institution :
Univ. of California, Berkeley, Berkeley, CA, USA
Abstract :
Substantial improvements in neural-implant longevity are needed to transition brain-machine interface (BMI) systems from research labs to clinical practice. While action potential (AP) recording through penetrating electrode arrays offers the highest spatial resolution, it comes at the price of tissue scarring, resulting in signal degradation over the course of several months [1]. Electrocorticography (ECoG) is an electrophysiological technique where electrical potentials are recorded from the surface of the cerebral cortex, reducing cortical scarring. However, today´s clinical ECoG implants are large, have low spatial resolution (0.4 to 1cm) and offer only wired operation.
Keywords :
bioelectric potentials; biological tissues; biomedical electrodes; biomedical transducers; brain; prosthetics; sensor arrays; wireless sensor networks; AP recording; BMI system; ECoG implant; action potential recording; brain-machine interface system; cerebral cortex; cortical scarring reduction; electrical potential; electrode array; electrophysiological technique; miniaturized 64-channel wireless electrocorticographic neural sensor; neural-implant longevity; power 225 muW; signal degradation; tissue scarring; Antennas; Electrodes; Integrated circuits; Noise; Rectifiers; Wireless communication; Wireless sensor networks;
Conference_Titel :
Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2014 IEEE International
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4799-0918-6
DOI :
10.1109/ISSCC.2014.6757492
