Cargando…

Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation

Epilepsy is one of the most common neurological disorders, and it affects almost 1% of the population worldwide. Many people living with epilepsy continue to have seizures despite anti-epileptic medication therapy, surgical treatments, and neuromodulation therapy. The unpredictability of seizures is...

Descripción completa

Detalles Bibliográficos
Autores principales: Pal Attia, Tal, Crepeau, Daniel, Kremen, Vaclav, Nasseri, Mona, Guragain, Hari, Steele, Steven W., Sladky, Vladimir, Nejedly, Petr, Mivalt, Filip, Herron, Jeffrey A., Stead, Matt, Denison, Timothy, Worrell, Gregory A., Brinkmann, Benjamin H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358117/
https://www.ncbi.nlm.nih.gov/pubmed/34393981
http://dx.doi.org/10.3389/fneur.2021.704170
_version_ 1783737269908144128
author Pal Attia, Tal
Crepeau, Daniel
Kremen, Vaclav
Nasseri, Mona
Guragain, Hari
Steele, Steven W.
Sladky, Vladimir
Nejedly, Petr
Mivalt, Filip
Herron, Jeffrey A.
Stead, Matt
Denison, Timothy
Worrell, Gregory A.
Brinkmann, Benjamin H.
author_facet Pal Attia, Tal
Crepeau, Daniel
Kremen, Vaclav
Nasseri, Mona
Guragain, Hari
Steele, Steven W.
Sladky, Vladimir
Nejedly, Petr
Mivalt, Filip
Herron, Jeffrey A.
Stead, Matt
Denison, Timothy
Worrell, Gregory A.
Brinkmann, Benjamin H.
author_sort Pal Attia, Tal
collection PubMed
description Epilepsy is one of the most common neurological disorders, and it affects almost 1% of the population worldwide. Many people living with epilepsy continue to have seizures despite anti-epileptic medication therapy, surgical treatments, and neuromodulation therapy. The unpredictability of seizures is one of the most disabling aspects of epilepsy. Furthermore, epilepsy is associated with sleep, cognitive, and psychiatric comorbidities, which significantly impact the quality of life. Seizure predictions could potentially be used to adjust neuromodulation therapy to prevent the onset of a seizure and empower patients to avoid sensitive activities during high-risk periods. Long-term objective data is needed to provide a clearer view of brain electrical activity and an objective measure of the efficacy of therapeutic measures for optimal epilepsy care. While neuromodulation devices offer the potential for acquiring long-term data, available devices provide very little information regarding brain activity and therapy effectiveness. Also, seizure diaries kept by patients or caregivers are subjective and have been shown to be unreliable, in particular for patients with memory-impairing seizures. This paper describes the design, architecture, and development of the Mayo Epilepsy Personal Assistant Device (EPAD). The EPAD has bi-directional connectivity to the implanted investigational Medtronic Summit RC+S(TM) device to implement intracranial EEG and physiological monitoring, processing, and control of the overall system and wearable devices streaming physiological time-series signals. In order to mitigate risk and comply with regulatory requirements, we developed a Quality Management System (QMS) to define the development process of the EPAD system, including Risk Analysis, Verification, Validation, and protocol mitigations. Extensive verification and validation testing were performed on thirteen canines and benchtop systems. The system is now under a first-in-human trial as part of the US FDA Investigational Device Exemption given in 2018 to study modulated responsive and predictive stimulation using the Mayo EPAD system and investigational Medtronic Summit RC+S(TM) in ten patients with non-resectable dominant or bilateral mesial temporal lobe epilepsy. The EPAD system coupled with an implanted device capable of EEG telemetry represents a next-generation solution to optimizing neuromodulation therapy.
format Online
Article
Text
id pubmed-8358117
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-83581172021-08-13 Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation Pal Attia, Tal Crepeau, Daniel Kremen, Vaclav Nasseri, Mona Guragain, Hari Steele, Steven W. Sladky, Vladimir Nejedly, Petr Mivalt, Filip Herron, Jeffrey A. Stead, Matt Denison, Timothy Worrell, Gregory A. Brinkmann, Benjamin H. Front Neurol Neurology Epilepsy is one of the most common neurological disorders, and it affects almost 1% of the population worldwide. Many people living with epilepsy continue to have seizures despite anti-epileptic medication therapy, surgical treatments, and neuromodulation therapy. The unpredictability of seizures is one of the most disabling aspects of epilepsy. Furthermore, epilepsy is associated with sleep, cognitive, and psychiatric comorbidities, which significantly impact the quality of life. Seizure predictions could potentially be used to adjust neuromodulation therapy to prevent the onset of a seizure and empower patients to avoid sensitive activities during high-risk periods. Long-term objective data is needed to provide a clearer view of brain electrical activity and an objective measure of the efficacy of therapeutic measures for optimal epilepsy care. While neuromodulation devices offer the potential for acquiring long-term data, available devices provide very little information regarding brain activity and therapy effectiveness. Also, seizure diaries kept by patients or caregivers are subjective and have been shown to be unreliable, in particular for patients with memory-impairing seizures. This paper describes the design, architecture, and development of the Mayo Epilepsy Personal Assistant Device (EPAD). The EPAD has bi-directional connectivity to the implanted investigational Medtronic Summit RC+S(TM) device to implement intracranial EEG and physiological monitoring, processing, and control of the overall system and wearable devices streaming physiological time-series signals. In order to mitigate risk and comply with regulatory requirements, we developed a Quality Management System (QMS) to define the development process of the EPAD system, including Risk Analysis, Verification, Validation, and protocol mitigations. Extensive verification and validation testing were performed on thirteen canines and benchtop systems. The system is now under a first-in-human trial as part of the US FDA Investigational Device Exemption given in 2018 to study modulated responsive and predictive stimulation using the Mayo EPAD system and investigational Medtronic Summit RC+S(TM) in ten patients with non-resectable dominant or bilateral mesial temporal lobe epilepsy. The EPAD system coupled with an implanted device capable of EEG telemetry represents a next-generation solution to optimizing neuromodulation therapy. Frontiers Media S.A. 2021-07-29 /pmc/articles/PMC8358117/ /pubmed/34393981 http://dx.doi.org/10.3389/fneur.2021.704170 Text en Copyright © 2021 Pal Attia, Crepeau, Kremen, Nasseri, Guragain, Steele, Sladky, Nejedly, Mivalt, Herron, Stead, Denison, Worrell and Brinkmann. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Pal Attia, Tal
Crepeau, Daniel
Kremen, Vaclav
Nasseri, Mona
Guragain, Hari
Steele, Steven W.
Sladky, Vladimir
Nejedly, Petr
Mivalt, Filip
Herron, Jeffrey A.
Stead, Matt
Denison, Timothy
Worrell, Gregory A.
Brinkmann, Benjamin H.
Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation
title Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation
title_full Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation
title_fullStr Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation
title_full_unstemmed Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation
title_short Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation
title_sort epilepsy personal assistant device—a mobile platform for brain state, dense behavioral and physiology tracking and controlling adaptive stimulation
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358117/
https://www.ncbi.nlm.nih.gov/pubmed/34393981
http://dx.doi.org/10.3389/fneur.2021.704170
work_keys_str_mv AT palattiatal epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT crepeaudaniel epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT kremenvaclav epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT nasserimona epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT guragainhari epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT steelestevenw epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT sladkyvladimir epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT nejedlypetr epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT mivaltfilip epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT herronjeffreya epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT steadmatt epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT denisontimothy epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT worrellgregorya epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation
AT brinkmannbenjaminh epilepsypersonalassistantdeviceamobileplatformforbrainstatedensebehavioralandphysiologytrackingandcontrollingadaptivestimulation