A Smart Biological Signal-Responsive Focal Drug Delivery System for Treatment of Refractory Epilepsy

Muhammad Tariqus Salam; Ali Hassan Hamie; Dang Khoa Nguyen; Mohamad Sawan

doi:10.4028/www.scientific.net/AST.85.39

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HomeAdvances in Science and TechnologyAdvances in Science and Technology Vol. 85A Smart Biological Signal-Responsive Focal Drug...

A Smart Biological Signal-Responsive Focal Drug Delivery System for Treatment of Refractory Epilepsy

Abstract:

In this paper, we propose a new biological signal-responsive implantable device that triggers direct an anticonvulsive drug into the epileptogenic zone at electrographic seizure onset. We describe the high-performance seizure-onset detection algorithm, low-power circuit technique and focal drug delivery system. The implantable device is composed of a preamplifier, a signal processor, a seizure detector and a micropump. The device records high quality intracerebral electroencephalographic (icEEG) signals using high conductive electrodes and a low noise preamplifier. The recorded signal is processed continuously using low-power technique to detect onset of seizures accurately. The low-power miniaturized micropump is able to deliver sufficient amount of anticonvulsive drug in a short duration (50µL/sec) to epileptogenic zone. The detection algorithm was validated with Matlab tools and a prototype device was assembled with discrete components in a circular (Ø 40 mm) printed circuit board. The device was validated offline using the icEEG recordings obtained from 3 drug-resistant epilepsy patients. The average seizure detection delay was 10 sec from electrographic seizure onset, well before seizure progression to adjacent functional cortex.

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Periodical:

Advances in Science and Technology (Volume 85)

Pages:

39-46

DOI:

https://doi.org/10.4028/www.scientific.net/AST.85.39

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Online since:

September 2012

Authors:

Muhammad Tariqus Salam, Ali Hassan Hamie, Dang Khoa Nguyen, Mohamad Sawan

Keywords:

Direct Drug Delivery, Epilepsy, Responsive Device Therapy, Seizure Detection

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