Title Real-time phase correlation based integrated system for seizure detection
Authors ROMAINE, JAMES BRIAN, Delgado-Restituto M. , Leñero-Bardallo J.A. , Rodríguez-Vázquez Á.
External publication Si
Means Proc SPIE Int Soc Opt Eng
Scope Conference Paper
Nature Científica
SJR Impact 0.23400
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025581023&doi=10.1117%2f12.2267003&partnerID=40&md5=0fc07408f5e10b863535c1772fda4189
Publication date 01/01/2017
ISI 000423021200006
Scopus Id 2-s2.0-85025581023
DOI 10.1117/12.2267003
Abstract This paper reports a low area, low power, integer-based digital processor for the calculation of phase synchronization between two neural signals. The processor calculates the phase-frequency content of a signal by identifying the specific time periods associated with two consecutive minima. The simplicity of this phase-frequency content identifier allows for the digital processor to utilize only basic digital blocks, such as registers, counters, adders and subtractors, without incorporating any complex multiplication and or division algorithms. In fact, the processor, fabricated in a 0.18µm CMOS process, only occupies an area of 0.0625µm2 and consumes 12.5nW from a 1.2V supply voltage when operated at 128kHz. These low-area, low-power features make the proposed processor a valuable computing element in closed loop neural prosthesis for the treatment of neural diseases, such as epilepsy, or for extracting functional connectivity maps between different recording sites in the brain. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
Keywords Optical engineering; Complex multiplication; Digital processors; Division algorithms; Functional connectivity; Integrated systems; Low power CMOS; Phase synchronization; Seizure detection; CMOS integr
Universidad Loyola members

Change your preferences Manage cookies