Journal article

Cloud computing for seizure detection in implanted neural devices

Steven Baldassano, Xuelong Zhao, Benjamin Brinkmann, Vaclav Kremen, John Bernabei, Mark Cook, Timothy Denison, Gregory Worrell, Brian Litt

JOURNAL OF NEURAL ENGINEERING | IOP PUBLISHING LTD | Published : 2019

Abstract

OBJECTIVE: Closed-loop implantable neural stimulators are an exciting treatment option for patients with medically refractory epilepsy, with a number of new devices in or nearing clinical trials. These devices must accurately detect a variety of seizure types in order to reliably deliver therapeutic stimulation. While effective, broadly-applicable seizure detection algorithms have recently been published, these methods are too computationally intensive to be directly deployed in an implantable device. We demonstrate a strategy that couples devices to cloud computing resources in order to implement complex seizure detection methods on an implantable device platform. APPROACH: We use a sensiti..

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University of Melbourne Researchers

Grants

Awarded by National Institutes of Health (NIH)


Awarded by NIH


Awarded by NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE


Funding Acknowledgements

This research was supported by the National Institutes of Health (NIH) (UH2/UH3-NS095495-01, R01NS092882-03, 1K01ES025436-01), the Mirowski Family Foundation, the Ashton Fellowship at the University of Pennsylvania, the Mayo Clinic Discovery Translation Grant, contributions from Neil and Barbara Smit, and institutional resources for research by Czech Technical University in Prague, Czech Republic. The International Epilepsy Electrophysiology (IEEG) Portal is funded by the NIH (5-U24-NS-063930-05). Dr Brian Litt has licensed technology to NeuroPace, Inc. through the University of Pennsylvania, and is a founder of Blackfynn, Inc. Timothy Denison is an employee of Medtronic.