Detail publikačního výsledku

Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices

SLADKÝ, V.; KŘEMEN, V.; MCQUOWN, K.; MÍVALT, F.; BRINKMANN, B.; VAN GOMPEL, J.; MILLER, K.; DENISON, T.; WORRELL, G.

Originální název

Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices

Anglický název

Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

brain stimulation, human-machine interface, epilepsy, Embedded computing, Implants, Electrical stimulation , Electroencephalography , Sensors , Behavioral sciences , Synchronization

Klíčová slova v angličtině

brain stimulation, human-machine interface, epilepsy, Embedded computing, Implants, Electrical stimulation , Electroencephalography , Sensors , Behavioral sciences , Synchronization

Autoři

SLADKÝ, V.; KŘEMEN, V.; MCQUOWN, K.; MÍVALT, F.; BRINKMANN, B.; VAN GOMPEL, J.; MILLER, K.; DENISON, T.; WORRELL, G.

Rok RIV

2023

Vydáno

09.10.2022

Nakladatel

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Místo

Prague. Czechia

ISBN

978-1-6654-5258-8

Kniha

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Strany od

1730

Strany do

1735

Strany počet

6

URL

https://ieeexplore.ieee.org/document/9945203

BibTex

@inproceedings{BUT180107,
  author="Vladimír {Sladký} and Václav {Křemen} and Kevin {McQuown} and Filip {Mívalt} and Benjamin H. {Brinkmann} and Jamie J. {Van Gompel} and Kai J. {Miller} and Timothy {Denison} and Gregory {Worrell}",
  title="Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices",
  booktitle="2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)",
  year="2022",
  pages="1730--1735",
  publisher="2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)",
  address="Prague. Czechia",
  doi="10.1109/SMC53654.2022.9945203",
  isbn="978-1-6654-5258-8",
  url="https://ieeexplore.ieee.org/document/9945203"
}