@inproceedings{Moly:2018:10.1109/biocas.2018.8584699,
author = {Moly, A and Luan, S and Zoltan, M and Salimpour, Y and Anderson, W and Constandinou, TG and Grand, L},
doi = {10.1109/biocas.2018.8584699},
pages = {527--530},
publisher = {IEEE},
title = {Embedded phase-amplitude coupling based closed-loop platform for Parkinson's Disease},
url = {http://dx.doi.org/10.1109/biocas.2018.8584699},
year = {2018}
}

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TY  - CPAPER
AB  - Deep Brain Stimulation (DBS) is a widely used clin-ical  therapeutic  modality  to  treat  Parkinsons  disease  refractorysymptoms   and   complications   of   levodopa   therapy.   Currentlyavailable  DBS  systems  use  continuous,  open-loop  stimulationstrategies. It might be redundant and we could extend the batterylife  otherwise.  Recently,  robust  electrophysiological  signaturesof  Parkinsons  disease  have  been  characterized  in  motor  cortexof  patients  undergoing  DBS  surgery.  Reductions  in  the  beta-gamma  Phase-Amplitude  coupling  (PAC)  correlated  with  symp-tom  improvement,  and  the  therapeutic  effects  of  DBS  itself.  Weaim  to  develop  a  miniature,  implantable  and  adaptive  system,which  only  stimulates  the  neural  target,  when  triggered  by  theoutput of the appropriate PAC algorithm. As a first step, in thispaper  we  compare  published  PAC  algorithms  by  using  humandata  intra-operatively  recorded  from  Parkinsonian  patients.  Wethen  introduce  IIR  masking  for  later  achieving  fast  and  low-power FPGA implementation of PAC mapping for intra-operativestudies.   Our   closed-loop   application   is   expected   to   consumesignificantly  less  power  than  current  DBS  systems,  thereforewe  can  increase  the  battery  life,  without  compromising  clinicalbenefits.
AU  - Moly,A
AU  - Luan,S
AU  - Zoltan,M
AU  - Salimpour,Y
AU  - Anderson,W
AU  - Constandinou,TG
AU  - Grand,L
DO  - 10.1109/biocas.2018.8584699
EP  - 530
PB  - IEEE
PY  - 2018///
SN  - 2163-4025
SP  - 527
TI  - Embedded phase-amplitude coupling based closed-loop platform for Parkinson's Disease
UR  - http://dx.doi.org/10.1109/biocas.2018.8584699
UR  - http://hdl.handle.net/10044/1/58746
ER  - 

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