{"title":"A Translational Wireless Deep Brain Stimulation Monitoring System for Chronic Brain Signal Recording to Automate Neural Disorder Onset Recording","authors":"William Drew, T. Denison, S. Stanslaski","doi":"10.1109/CBMS.2019.00027","DOIUrl":null,"url":null,"abstract":"Millions of people worldwide suffer from neurological disorders such as epilepsy, movement disorders, and obsessive-compulsive disorder (OCD), depression, and delirium. To provide relief from these disorders, brain stimulation therapies have been shown to be effective at controlling onsets of seizures, tremors, dyskinesia, dystonia, and OCD episodes. Current development of brain stimulation therapies has pivoted toward closed-loop control of sensing onset events and correspondingly delivering adaptive stimulation. Development of closed-loop brain stimulation therapies for neurological disorders rely on the identification of neural biomarkers. As such, a brain signal monitoring system that can chronically record these neurological events is essential to the continued development of neuromodulation systems and therapies. Through analyzing clinical data, neural disorder biomarkers can be identified and novel therapies can be optimized. This paper outlines the development of a translational deep brain stimulation monitoring system utilizing Medtronic's RC+S System to help clinicians and patients accurately record and document neural disorder onset events. With this neural data, stimulation therapy parameters can be adjusted using the system without requiring an in-person office visit. The system is capable of wirelessly communicating with multiple implanted neurostimulators, monitoring disorder onset biomarkers, and periodically downloading real-time brain signal data as well as loop recordings triggered by device-detected disorder onset events. This translational system and neural disorder onset data can be used to optimize therapies, minimize symptom onsets, enable episodic care management, and improve chronic care management.","PeriodicalId":311634,"journal":{"name":"2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2019.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Millions of people worldwide suffer from neurological disorders such as epilepsy, movement disorders, and obsessive-compulsive disorder (OCD), depression, and delirium. To provide relief from these disorders, brain stimulation therapies have been shown to be effective at controlling onsets of seizures, tremors, dyskinesia, dystonia, and OCD episodes. Current development of brain stimulation therapies has pivoted toward closed-loop control of sensing onset events and correspondingly delivering adaptive stimulation. Development of closed-loop brain stimulation therapies for neurological disorders rely on the identification of neural biomarkers. As such, a brain signal monitoring system that can chronically record these neurological events is essential to the continued development of neuromodulation systems and therapies. Through analyzing clinical data, neural disorder biomarkers can be identified and novel therapies can be optimized. This paper outlines the development of a translational deep brain stimulation monitoring system utilizing Medtronic's RC+S System to help clinicians and patients accurately record and document neural disorder onset events. With this neural data, stimulation therapy parameters can be adjusted using the system without requiring an in-person office visit. The system is capable of wirelessly communicating with multiple implanted neurostimulators, monitoring disorder onset biomarkers, and periodically downloading real-time brain signal data as well as loop recordings triggered by device-detected disorder onset events. This translational system and neural disorder onset data can be used to optimize therapies, minimize symptom onsets, enable episodic care management, and improve chronic care management.