Therapeutic maps for a sensor-based evaluation of deep brain stimulation programming.

IF 1.3 4区 医学 Q4 ENGINEERING, BIOMEDICAL
Rene Peter Bremm, Christophe Berthold, Rejko Krüger, Klaus Peter Koch, Jorge Gonçalves, Frank Hertel
{"title":"Therapeutic maps for a sensor-based evaluation of deep brain stimulation programming.","authors":"Rene Peter Bremm,&nbsp;Christophe Berthold,&nbsp;Rejko Krüger,&nbsp;Klaus Peter Koch,&nbsp;Jorge Gonçalves,&nbsp;Frank Hertel","doi":"10.1515/bmt-2020-0210","DOIUrl":null,"url":null,"abstract":"<p><p>Programming in deep brain stimulation (DBS) is a labour-intensive process for treating advanced motor symptoms. Specifically for patients with medication-refractory tremor in multiple sclerosis (MS). Wearable sensors are able to detect some manifestations of pathological signs, such as intention tremor in MS. However, methods are needed to visualise the response of tremor to DBS parameter changes in a clinical setting while patients perform the motor task finger-to-nose. To this end, we attended DBS programming sessions of a MS patient and intention tremor was effectively quantified by acceleration amplitude and frequency. A new method is introduced which results in the generation of therapeutic maps for a systematic review of the programming procedure in DBS. The maps visualise the combination of tremor acceleration power, clinical rating scores, total electrical energy delivered to the brain and possible side effects. Therapeutic maps have not yet been employed and could lead to a certain degree of standardisation for more objective decisions about DBS settings. The maps provide a base for future research on visualisation tools to assist physicians who frequently encounter patients for DBS therapy.</p>","PeriodicalId":8900,"journal":{"name":"Biomedical Engineering / Biomedizinische Technik","volume":"66 6","pages":"603-611"},"PeriodicalIF":1.3000,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Engineering / Biomedizinische Technik","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1515/bmt-2020-0210","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/12/20 0:00:00","PubModel":"Print","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Programming in deep brain stimulation (DBS) is a labour-intensive process for treating advanced motor symptoms. Specifically for patients with medication-refractory tremor in multiple sclerosis (MS). Wearable sensors are able to detect some manifestations of pathological signs, such as intention tremor in MS. However, methods are needed to visualise the response of tremor to DBS parameter changes in a clinical setting while patients perform the motor task finger-to-nose. To this end, we attended DBS programming sessions of a MS patient and intention tremor was effectively quantified by acceleration amplitude and frequency. A new method is introduced which results in the generation of therapeutic maps for a systematic review of the programming procedure in DBS. The maps visualise the combination of tremor acceleration power, clinical rating scores, total electrical energy delivered to the brain and possible side effects. Therapeutic maps have not yet been employed and could lead to a certain degree of standardisation for more objective decisions about DBS settings. The maps provide a base for future research on visualisation tools to assist physicians who frequently encounter patients for DBS therapy.

基于传感器的深部脑刺激程序评估的治疗图。
深部脑刺激(DBS)的编程是治疗晚期运动症状的劳动密集型过程。专门针对多发性硬化症(MS)患者的药物难治性震颤。可穿戴传感器能够检测到一些病理体征的表现,例如ms中的意图性震颤。然而,在临床环境中,当患者进行手指到鼻子的运动任务时,需要方法来可视化震颤对DBS参数变化的反应。为此,我们参加了一位MS患者的DBS编程会议,并通过加速度振幅和频率有效地量化了意向震颤。介绍了一种新的方法,该方法可以生成治疗图,用于系统地回顾DBS中的编程过程。这些地图显示了震颤加速功率、临床评分、传递到大脑的总电能和可能的副作用。治疗图尚未被采用,但可能会导致一定程度的标准化,以便对DBS设置做出更客观的决定。这些地图为未来可视化工具的研究提供了基础,以帮助经常遇到患者进行DBS治疗的医生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.50
自引率
5.90%
发文量
58
审稿时长
2-3 weeks
期刊介绍: Biomedical Engineering / Biomedizinische Technik (BMT) is a high-quality forum for the exchange of knowledge in the fields of biomedical engineering, medical information technology and biotechnology/bioengineering. As an established journal with a tradition of more than 60 years, BMT addresses engineers, natural scientists, and clinicians working in research, industry, or clinical practice.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信