• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

神经科学临床研究中的脑监测设备:使用传感器、可穿戴设备和移动设备进行远程监测的潜力。

Brain Monitoring Devices in Neuroscience Clinical Research: The Potential of Remote Monitoring Using Sensors, Wearables, and Mobile Devices.

机构信息

ICON Clinical Research, Marlow, UK.

ICON Clinical Research, Dublin, Ireland.

出版信息

Clin Pharmacol Ther. 2018 Jul;104(1):59-71. doi: 10.1002/cpt.1077. Epub 2018 Apr 18.

DOI:10.1002/cpt.1077
PMID:29574776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6032823/
Abstract

The increasing miniaturization and affordability of sensors and circuitry has led to the current level of innovation in the area of wearable and microsensor solutions for health monitoring. This facilitates the development of solutions that can be used to measure complex health outcomes in nonspecialist and remote settings. In this article, we review a number of innovations related to brain monitoring including portable and wearable solutions to directly measure brain electrical activity, and solutions measuring aspects related to brain function such as sleep patterns, gait, cognition, voice acoustics, and gaze analysis. Despite the need for more scientific validation work, we conclude that there is enough understanding of how to implement these approaches as exploratory tools that may provide additional valuable insights due to the rich and frequent data they produce, to justify their inclusion in clinical study protocols.

摘要

传感器和电路的日益小型化和价格降低,推动了可穿戴设备和微传感器在健康监测领域的创新。这使得能够开发出可用于在非专业和远程环境中测量复杂健康结果的解决方案。在本文中,我们回顾了一些与大脑监测相关的创新,包括可直接测量脑电活动的便携式和可穿戴解决方案,以及测量睡眠模式、步态、认知、语音声学和注视分析等与大脑功能相关方面的解决方案。尽管需要进行更多的科学验证工作,但我们的结论是,已经足够了解如何将这些方法作为探索性工具来实施,由于它们产生的丰富而频繁的数据,这些方法可能会提供额外的有价值的见解,因此有理由将其纳入临床研究方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/0d5889a7a430/CPT-104-59-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/4a2a18bbe60e/CPT-104-59-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/fa35bb82eafa/CPT-104-59-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/0fc2ad1059f4/CPT-104-59-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/97eb6b19a602/CPT-104-59-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/4a4d555b5e9a/CPT-104-59-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/0d5889a7a430/CPT-104-59-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/4a2a18bbe60e/CPT-104-59-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/fa35bb82eafa/CPT-104-59-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/0fc2ad1059f4/CPT-104-59-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/97eb6b19a602/CPT-104-59-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/4a4d555b5e9a/CPT-104-59-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/6032823/0d5889a7a430/CPT-104-59-g006.jpg

相似文献

1
Brain Monitoring Devices in Neuroscience Clinical Research: The Potential of Remote Monitoring Using Sensors, Wearables, and Mobile Devices.神经科学临床研究中的脑监测设备:使用传感器、可穿戴设备和移动设备进行远程监测的潜力。
Clin Pharmacol Ther. 2018 Jul;104(1):59-71. doi: 10.1002/cpt.1077. Epub 2018 Apr 18.
2
Wearable sensors with possibilities for data exchange: Analyzing status and needs of different actors in mobile health monitoring systems.可穿戴传感器具有数据交换的可能性:分析移动健康监测系统中不同参与者的状态和需求。
Int J Med Inform. 2020 Jan;133:104017. doi: 10.1016/j.ijmedinf.2019.104017. Epub 2019 Oct 31.
3
Digital health innovations in urology: telemedicine, wearables, and mobile applications - a systematic review of literature.泌尿外科中的数字健康创新:远程医疗、可穿戴设备及移动应用——文献系统综述
Curr Opin Urol. 2024 Mar 1;34(2):116-127. doi: 10.1097/MOU.0000000000001153. Epub 2023 Dec 1.
4
Wearable Devices in Clinical Trials: Hype and Hypothesis.可穿戴设备在临床试验中的应用:炒作与假设。
Clin Pharmacol Ther. 2018 Jul;104(1):42-52. doi: 10.1002/cpt.966. Epub 2018 Apr 2.
5
The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices.移动睡眠实验室应用程序:基于消费级可穿戴设备的移动睡眠评估的开源框架。
Comput Biol Med. 2018 Dec 1;103:8-16. doi: 10.1016/j.compbiomed.2018.09.025. Epub 2018 Oct 6.
6
Clinical Applications of Mobile Health Wearable-Based Sleep Monitoring: Systematic Review.移动医疗可穿戴睡眠监测的临床应用:系统评价。
JMIR Mhealth Uhealth. 2020 Apr 1;8(4):e10733. doi: 10.2196/10733.
7
Apps and wearables in the monitoring of mental health disorders.用于监测精神健康障碍的应用程序和可穿戴设备。
Br J Hosp Med (Lond). 2018 Dec 2;79(12):672-675. doi: 10.12968/hmed.2018.79.12.672.
8
Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers.用于互联健康的可穿戴技术文献:研究趋势、进展及障碍的范围综述
J Med Internet Res. 2019 Sep 5;21(9):e14017. doi: 10.2196/14017.
9
Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography.利用多传感器消费级可穿戴设备的心率和运动数据检测睡眠,与腕部活动记录仪和多导睡眠图相比。
Sleep. 2020 Jul 13;43(7). doi: 10.1093/sleep/zsaa045.
10
Consumer-grade sleep trackers are still not up to par compared to polysomnography.与多导睡眠图相比,消费级睡眠追踪器仍不尽如人意。
Sleep Breath. 2022 Dec;26(4):1573-1582. doi: 10.1007/s11325-021-02493-y. Epub 2021 Nov 5.

引用本文的文献

1
Assessment of cognitive load in the context of neurosurgery.神经外科手术中认知负荷的评估
Int J Comput Assist Radiol Surg. 2025 Jul 12. doi: 10.1007/s11548-025-03478-y.
2
Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson's disease and related alpha-synucleinopathies.用于帕金森病及相关α-突触核蛋白病家庭筛查的快速眼动睡眠行为障碍检测新技术。
NPJ Parkinsons Dis. 2025 Jul 3;11(1):196. doi: 10.1038/s41531-025-01032-w.
3
AI can see you: Machiavellianism and extraversion are reflected in eye-movements.

本文引用的文献

1
Will eye tracking change the way we diagnose and classify concussion and structural brain injury?眼动追踪会改变我们诊断和分类脑震荡及脑结构性损伤的方式吗?
Concussion. 2015 Aug 6;1(1):CNC2. doi: 10.2217/cnc.15.2. eCollection 2016 Mar.
2
Selection of and Evidentiary Considerations for Wearable Devices and Their Measurements for Use in Regulatory Decision Making: Recommendations from the ePRO Consortium.可穿戴设备的选择和证据考虑因素及其在监管决策中的使用测量:ePRO 联盟的建议。
Value Health. 2018 Jun;21(6):631-639. doi: 10.1016/j.jval.2017.09.012. Epub 2017 Nov 7.
3
The Reliability, Validity, and Normative Data of Interpupillary Distance and Pupil Diameter Using Eye-Tracking Technology.
人工智能能看穿你:眼动可反映出马基雅维利主义和外向性。
PLoS One. 2024 Aug 28;19(8):e0308631. doi: 10.1371/journal.pone.0308631. eCollection 2024.
4
High-order brain interactions in ketamine during rest and task: a double-blinded cross-over design using portable EEG on male participants.静息态和任务态下氯胺酮作用于大脑的高阶交互:一项使用便携式 EEG 对男性参与者进行的双盲交叉设计研究。
Transl Psychiatry. 2024 Jul 27;14(1):310. doi: 10.1038/s41398-024-03029-0.
5
High-order brain interactions in ketamine during rest and task: A double-blinded cross-over design using portable EEG.氯胺酮在静息和任务期间的高阶脑交互作用:一项使用便携式脑电图的双盲交叉设计。
Res Sq. 2024 Mar 21:rs.3.rs-3954073. doi: 10.21203/rs.3.rs-3954073/v1.
6
Considering and understanding developmental and deployment barriers for wearable technologies in neurosciences.考虑并理解神经科学中可穿戴技术的发展和应用障碍。
Front Neurosci. 2024 Mar 13;18:1379619. doi: 10.3389/fnins.2024.1379619. eCollection 2024.
7
Recent Advances and Challenges in Textile Electrodes for Wearable Biopotential Signal Monitoring: A Comprehensive Review.用于可穿戴生物电位信号监测的纺织电极:最新进展和挑战综述。
Biosensors (Basel). 2023 Jun 26;13(7):679. doi: 10.3390/bios13070679.
8
In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?通过脑电图和机器学习寻找慢性疼痛的复合生物标志物:我们目前的进展如何?
Front Neurosci. 2023 Jun 14;17:1186418. doi: 10.3389/fnins.2023.1186418. eCollection 2023.
9
Pain Management in the Most Vulnerable Intellectual Disability: A Review.最弱势智力残疾群体的疼痛管理:综述
Pain Ther. 2023 Aug;12(4):939-961. doi: 10.1007/s40122-023-00526-w. Epub 2023 Jun 7.
10
Emerging Materials, Wearables, and Diagnostic Advancements in Therapeutic Treatment of Brain Diseases.新兴材料、可穿戴设备和诊断技术在脑部疾病治疗中的进展
Biosensors (Basel). 2022 Dec 16;12(12):1176. doi: 10.3390/bios12121176.
使用眼动追踪技术测量瞳孔间距和瞳孔直径的可靠性、有效性及常模数据。
Transl Vis Sci Technol. 2017 Jul 3;6(4):2. doi: 10.1167/tvst.6.4.2. eCollection 2017 Jul.
4
The Accuracy, Night-to-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers.额极睡眠脑电图生物标志物的准确性、夜间变异性和稳定性。
J Clin Sleep Med. 2017 Jun 15;13(6):791-803. doi: 10.5664/jcsm.6618.
5
Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's disease.微软Kinect能够区分患帕金森病和未患帕金森病的老年人在地面行走步态上的差异。
Med Eng Phys. 2017 Jun;44:1-7. doi: 10.1016/j.medengphy.2017.03.007. Epub 2017 Apr 10.
6
Choosing MUSE: Validation of a Low-Cost, Portable EEG System for ERP Research.选择MUSE:用于事件相关电位(ERP)研究的低成本便携式脑电图(EEG)系统的验证
Front Neurosci. 2017 Mar 10;11:109. doi: 10.3389/fnins.2017.00109. eCollection 2017.
7
Evidence for Narrow Transfer after Short-Term Cognitive Training in Older Adults.老年人短期认知训练后窄迁移的证据。
Front Aging Neurosci. 2017 Feb 28;9:41. doi: 10.3389/fnagi.2017.00041. eCollection 2017.
8
Validation of Contact-Free Sleep Monitoring Device with Comparison to Polysomnography.非接触式睡眠监测设备与多导睡眠图对比的验证
J Clin Sleep Med. 2017 Mar 15;13(3):517-522. doi: 10.5664/jcsm.6514.
9
Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development?超越目光注视:眼动追踪还能揭示关于认知和认知发展的哪些方面?
Dev Cogn Neurosci. 2017 Jun;25:69-91. doi: 10.1016/j.dcn.2016.11.001. Epub 2016 Nov 11.
10
Transitioning EEG experiments away from the laboratory using a Raspberry Pi 2.使用树莓派2将脑电图实验从实验室转移出来。
J Neurosci Methods. 2017 Feb 1;277:75-82. doi: 10.1016/j.jneumeth.2016.11.013. Epub 2016 Nov 25.