Abstract | ||
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Deep Brain Stimulation (DBS) is a widely used clinical therapeutic modality to treat Parkinsons disease refractory symptoms and complications of levodopa therapy. Currently available DBSsystems use continuous, open-loop stimulation strategies. It might be redundant and we could extend the battery life otherwise. Recently, robust electrophysiological signatures of Parkinsons disease have been characterized in motor cortex of patients undergoing DBS surgery. Reductions in the beta-gamma Phase-Amplitude coupling (PAC) correlated with symptom improvement, and the therapeutic effects of DBS itself. We aim to develop a miniature, implantable and adaptive system, which only stimulates the neural target, when triggered by the output of the appropriate PAC algorithm. As a first step, in this paper we compare published PAC algorithms by using human data intra-operatively recorded from Parkinsonian patients. We then introduce IIR masking for later achieving fast and low-power FPGA implementation of PAC mapping for intra-operative studies. Our closed-loop application is expected to consume significantly less power than current DBS systems, therefore we can increase the battery life, without compromising clinical benefits. |
Year | DOI | Venue |
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2018 | 10.1109/BIOCAS.2018.8584699 | 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) |
Keywords | Field | DocType |
embedded phase-amplitude coupling,closed-loop platform,parkinson,widely used clinical therapeutic modality,Parkinsons disease refractory symptoms,levodopa therapy,available DBSsystems,continuous loop stimulation strategies,open-loop stimulation strategies,battery life,robust electrophysiological signatures,DBS surgery,beta-gamma Phase-Amplitude coupling,symptom improvement,therapeutic effects,adaptive system,neural target,appropriate PAC algorithm,PAC algorithms,human data intra-operatively,Parkinsonian patients,PAC mapping,intra-operative studies,closed-loop application,current DBS systems,clinical benefits,deep brain stimulation | Phase amplitude coupling,Deep brain stimulation,Parkinson's disease,Adaptive system,Computer science,Electronic engineering,Levodopa,Motor cortex,Satellite broadcasting,Physical medicine and rehabilitation | Conference |
ISSN | ISBN | Citations |
2163-4025 | 978-1-5386-3604-6 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
M. Alexandre | 1 | 0 | 0.34 |
Song Luan | 2 | 11 | 4.85 |
Zoltan K. Mari | 3 | 3 | 0.75 |
William S. Anderson | 4 | 10 | 5.52 |
Yousef Salimpour | 5 | 0 | 2.03 |
Timothy G. Constandinou | 6 | 78 | 38.42 |
L. B. Grand | 7 | 0 | 0.34 |