• 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

具有快照心电图功能的商用心率监测仪经重新设计用于自动心律失常检测:一项初步验证。

Commercially Available Heart Rate Monitor Repurposed for Automatic Arrhythmia Detection with Snapshot Electrocardiographic Capability: A Pilot Validation.

作者信息

Martini Chiara, Di Maria Bernardo, Reverberi Claudio, Tuttolomondo Domenico, Gaibazzi Nicola

机构信息

Department of Radiology, Parma University Hospital, Via Gramsci 14, 43125 Parma, Italy.

Independent Researcher, 43126 Parma, Italy.

出版信息

Diagnostics (Basel). 2022 Mar 15;12(3):712. doi: 10.3390/diagnostics12030712.

DOI:10.3390/diagnostics12030712
PMID:35328265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8947007/
Abstract

The usefulness of opportunistic arrhythmia screening strategies, using an electrocardiogram (ECG) or other methods for random "snapshot" assessments is limited by the unexpected and occasional nature of arrhythmias, leading to a high rate of missed diagnosis. We have previously validated a cardiac monitoring system for AF detection pairing simple consumer-grade Bluetooth low-energy (BLE) heart rate (HR) sensors with a smartphone application (RITMIA™, Heart Sentinel srl, Italy). In the current study, we test a significant upgrade to the above-mentioned system, thanks to the technical capability of new HR sensors to run algorithms on the sensor itself and to acquire, and store on-board, single-lead ECG strips. We have reprogrammed an HR monitor intended for sports use (Movensense HR+) to run our proprietary RITMIA algorithm code in real-time, based on RR analysis, so that if any type of arrhythmia is detected, it triggers a brief retrospective recording of a single-lead ECG, providing tracings of the specific arrhythmia for later consultation. We report the initial data on the behavior, feasibility, and high diagnostic accuracy of this ultra-low weight customized device for standalone automatic arrhythmia detection and ECG recording, when several types of arrhythmias were simulated under different baseline conditions. Conclusions: The customized device was capable of detecting all types of simulated arrhythmias and correctly triggered a visually interpretable ECG tracing. Future human studies are needed to address real-life accuracy of this device.

摘要

使用心电图(ECG)或其他方法进行随机“快照”评估的机会性心律失常筛查策略的有效性受到心律失常意外和偶发性的限制,导致漏诊率很高。我们之前已经验证了一种用于房颤检测的心脏监测系统,该系统将简单的消费级蓝牙低功耗(BLE)心率(HR)传感器与智能手机应用程序(RITMIA™,Heart Sentinel srl,意大利)配对。在当前研究中,由于新型HR传感器具有在传感器本身运行算法以及采集和板载存储单导联心电图条的技术能力,我们测试了上述系统的重大升级。我们重新编程了一款用于运动的HR监测器(Movensense HR+),以便基于RR分析实时运行我们专有的RITMIA算法代码,这样如果检测到任何类型的心律失常,它会触发单导联心电图的简短回顾性记录,提供特定心律失常的描记以供后续会诊。我们报告了在不同基线条件下模拟多种类型心律失常时,这种超轻重量的定制设备用于独立自动心律失常检测和心电图记录的性能、可行性及高诊断准确性的初始数据。结论:定制设备能够检测所有类型的模拟心律失常,并正确触发可视觉解读的心电图描记。需要进行未来的人体研究来确定该设备在实际应用中的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/29e1a7886f2a/diagnostics-12-00712-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/6a5ed16dfc3b/diagnostics-12-00712-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/208ea8887792/diagnostics-12-00712-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/01d83b87a4cb/diagnostics-12-00712-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/4712058dbcc3/diagnostics-12-00712-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/76ee6a81c231/diagnostics-12-00712-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/29e1a7886f2a/diagnostics-12-00712-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/6a5ed16dfc3b/diagnostics-12-00712-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/208ea8887792/diagnostics-12-00712-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/01d83b87a4cb/diagnostics-12-00712-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/4712058dbcc3/diagnostics-12-00712-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/76ee6a81c231/diagnostics-12-00712-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e381/8947007/29e1a7886f2a/diagnostics-12-00712-g006.jpg

相似文献

1
Commercially Available Heart Rate Monitor Repurposed for Automatic Arrhythmia Detection with Snapshot Electrocardiographic Capability: A Pilot Validation.具有快照心电图功能的商用心率监测仪经重新设计用于自动心律失常检测:一项初步验证。
Diagnostics (Basel). 2022 Mar 15;12(3):712. doi: 10.3390/diagnostics12030712.
2
Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study.自动移动健康心律失常监测在心房颤动检测中的应用:前瞻性可行性、准确性和用户体验研究。
JMIR Mhealth Uhealth. 2021 Oct 22;9(10):e29933. doi: 10.2196/29933.
3
Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors.对可穿戴设备采集的心电图(ECG)或心率数据进行分析和后处理,这些设备不限于供应商专有的云及应用基础设施。
Cardiovasc Digit Health J. 2021 Oct 8;2(6):323-330. doi: 10.1016/j.cvdhj.2021.09.006. eCollection 2021 Dec.
4
Diagnostic accuracy of a smartphone electrocardiograph in dogs: Comparison with standard 6-lead electrocardiography.智能手机心电图仪对犬的诊断准确性:与标准6导联心电图的比较。
Vet J. 2016 Oct;216:33-7. doi: 10.1016/j.tvjl.2016.06.013. Epub 2016 Jun 30.
5
Accuracy of a smartwatch based single-lead electrocardiogram device in detection of atrial fibrillation.基于智能手表的单导联心电图设备检测心房颤动的准确性。
Heart. 2020 May;106(9):665-670. doi: 10.1136/heartjnl-2019-316004. Epub 2020 Jan 7.
6
The quality of ECG data acquisition, and diagnostic performance of a novel adhesive patch for ambulatory cardiac rhythm monitoring in arrhythmia detection.用于心律失常检测的动态心律监测新型粘贴式电极片的心电数据采集质量及诊断性能
J Electrocardiol. 2019 May-Jun;54:28-35. doi: 10.1016/j.jelectrocard.2019.02.012. Epub 2019 Feb 28.
7
Home monitoring of heart rate and heart rhythm with a smartphone-based ECG in dogs.使用基于智能手机的心电图对犬类进行心率和心律的家庭监测。
Vet Rec. 2019 Jan 19;184(3):96. doi: 10.1136/vr.104917. Epub 2018 Dec 17.
8
Can smartphone wireless ECGs be used to accurately assess ECG intervals in pediatrics? A comparison of mobile health monitoring to standard 12-lead ECG.智能手机无线心电图能否准确评估儿科心电图间期?移动健康监测与标准 12 导联心电图的比较。
PLoS One. 2018 Sep 27;13(9):e0204403. doi: 10.1371/journal.pone.0204403. eCollection 2018.
9
A wearable real-time telemonitoring electrocardiogram device compared with traditional Holter monitoring.一种可穿戴实时远程监测心电图设备与传统动态心电图监测的比较。
J Biomed Res. 2020 Dec 18;35(3):238-246. doi: 10.7555/JBR.34.20200074.
10
Automatic atrial fibrillation and flutter detection by a handheld ECG recorder, and utility of sequential finger and precordial recordings.手持式心电图记录仪自动检测心房颤动和扑动以及序贯手指和心前区记录的效用。
J Electrocardiol. 2018 Nov-Dec;51(6):1135-1140. doi: 10.1016/j.jelectrocard.2018.10.093. Epub 2018 Oct 18.

引用本文的文献

1
Validity and Reliability of Movesense HR+ ECG Measurements for High-Intensity Running and Cycling.Movesense HR+ ECG 测量在高强度跑步和骑行中的有效性和可靠性。
Sensors (Basel). 2024 Sep 2;24(17):5713. doi: 10.3390/s24175713.
2
Strain Imaging and Ventricular Arrhythmia.应变成像与室性心律失常
Diagnostics (Basel). 2023 May 17;13(10):1778. doi: 10.3390/diagnostics13101778.

本文引用的文献

1
Performance and Integration of Smartphone Wireless ECG Monitoring into the Enterprise Electronic Health Record: First Clinical Experience.智能手机无线心电图监测在企业电子健康记录中的性能与整合:首次临床经验
Clin Med Insights Case Rep. 2022 Jan 22;15:11795476211069194. doi: 10.1177/11795476211069194. eCollection 2022.
2
ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study.基于心电图的量化深度神经网络实时心律失常监测:一项可行性研究。
Comput Biol Med. 2022 Apr;143:105249. doi: 10.1016/j.compbiomed.2022.105249. Epub 2022 Jan 22.
3
Continuous 24-h Photoplethysmogram Monitoring Enables Detection of Atrial Fibrillation.
连续24小时光电容积脉搏波描记图监测可实现心房颤动的检测。
Front Physiol. 2022 Jan 4;12:778775. doi: 10.3389/fphys.2021.778775. eCollection 2021.
4
Personalized subcutaneous implantable cardioverter-defibrillator sensing vectors generated by mathematical rotation increase device eligibility whilst preserving device performance.个性化皮下植入式心脏转复除颤器感知向量通过数学旋转生成,在提高设备适用性的同时保持设备性能。
Europace. 2022 Sep 1;24(8):1267-1275. doi: 10.1093/europace/euab310.
5
Continuous ECG monitoring versus mobile telemetry: A comparison of arrhythmia diagnostics in human- versus algorithmic-dependent systems.连续心电图监测与移动遥测:人工依赖系统与算法依赖系统中心律失常诊断的比较。
Heart Rhythm O2. 2021 Oct 2;2(6Part A):543-559. doi: 10.1016/j.hroo.2021.09.008. eCollection 2021 Dec.
6
Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study.自动移动健康心律失常监测在心房颤动检测中的应用:前瞻性可行性、准确性和用户体验研究。
JMIR Mhealth Uhealth. 2021 Oct 22;9(10):e29933. doi: 10.2196/29933.
7
Implantable loop recorder detection of atrial fibrillation to prevent stroke (The LOOP Study): a randomised controlled trial.植入式循环记录仪检测心房颤动以预防卒中(LOOP研究):一项随机对照试验
Lancet. 2021 Oct 23;398(10310):1507-1516. doi: 10.1016/S0140-6736(21)01698-6. Epub 2021 Aug 29.
8
Continuous Maternal Hemodynamics Monitoring at Delivery Using a Novel, Noninvasive, Wireless,PPG-Based Sensor.使用新型、无创、无线、基于光电容积脉搏波描记法(PPG)的传感器在分娩时持续监测产妇血流动力学
J Clin Med. 2020 Dec 22;10(1):8. doi: 10.3390/jcm10010008.
9
Wearable Devices for Ambulatory Cardiac Monitoring: JACC State-of-the-Art Review.可穿戴设备用于动态心脏监测:JACC 最新技术评价。
J Am Coll Cardiol. 2020 Apr 7;75(13):1582-1592. doi: 10.1016/j.jacc.2020.01.046.
10
Machine learning detection of Atrial Fibrillation using wearable technology.机器学习在可穿戴技术中检测心房颤动。
PLoS One. 2020 Jan 24;15(1):e0227401. doi: 10.1371/journal.pone.0227401. eCollection 2020.