@inproceedings{fe0b66361a86424fa72340ff102ffcc0,
title = "Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices",
abstract = "Recent development in implantable devices for electrical brain stimulation includes sensing and embedded computing capabilities that enable adaptive stimulation strategies. Applications include stimulation triggered by pathologic brain activity and endogenous rhythms, such as circadian rhythms. We developed and tested a system that integrates an electrical brain stimulation & sensing implantable device with embedded computing and uses a distributed system with commercial electronics, smartphone and smartwatch for patient annotations, extensive behavioral testing, and adaptive stimulation in subjects in their natural environments. The system enables precise time synchronization of the external components with the brain stimulating device and is coupled with automated analysis of continuous streaming electrophysiology synchronized with patient reports. The system leverages a real-time bi-directional interface between devices and patients with epilepsy living in their natural environment.",
keywords = "brain stimulation, epilepsy, human-machine interface",
author = "Vladimir Sladky and Vaclav Kremen and Kevin McQuown and Filip Mivalt and Brinkmann, {Benjamin H.} and Gompel, {Jamie Van} and Miller, {Kai J.} and Timothy Denison and Worrell, {Gregory A.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 ; Conference date: 09-10-2022 Through 12-10-2022",
year = "2022",
doi = "10.1109/SMC53654.2022.9945203",
language = "English (US)",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1730--1735",
booktitle = "2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings",
}