30分钟短动态监测在门诊实践-诊断的新线索

Aishwarya Srinivasan, Satish Kumar, Amrutha G R, V. K, D. Padmanabhan, Sugandhi Gopal
{"title":"30分钟短动态监测在门诊实践-诊断的新线索","authors":"Aishwarya Srinivasan, Satish Kumar, Amrutha G R, V. K, D. Padmanabhan, Sugandhi Gopal","doi":"10.1109/CONECCT55679.2022.9865788","DOIUrl":null,"url":null,"abstract":"Cardiac monitoring devices have multiplied in the last few years, and have become instantly accessible hence leading to newer indications. 50 and more years ago, it was only used for critically ill patients, for an arrhythmia watch. The present day compact form factor, coupled with a real time online data display has now expanded indications to include identification of arrhythmias, ischaemia and QT intervals in drug trials. The current trend has been to enable longer and longer monitoring periods thus reducing the chance of missing significant arrhythmias. The cost of this is an increased waiting time for deployment and for analysis. Yet a significant number of arrhythmias may be identified with short monitoring periods of even a few minutes [1]. We present our experience with Sydäntek, from Carditek Medical Device, in office cardiology as a short term monitor. The study was undertaken in all diabetic, hypertensive and post stroke patients attending a routine cardiology clinic. Results showed unexpected bradycardia, atrial fibrillation, ventricular ectopics, ventricular tachycardia and pauses, leading to modification of medications and doses. This would have been missed with a routine 6 sec ECG which is the norm in the clinic . The report from this device is immediate with automation, analytics for 8 clinically significant arrhythmias, algorithms to detect non-usable, noisy segments, max and minimum heart rate, respiratory patterns and heart rate variability. We present the clinical implications and technical details for the automation . We propose that even short term, 30 min ECG monitoring has a role in effective and improved management of the patients.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"30 minute Short Holter Monitoring in Outpatient Practices - New Clues to Diagnosis\",\"authors\":\"Aishwarya Srinivasan, Satish Kumar, Amrutha G R, V. K, D. Padmanabhan, Sugandhi Gopal\",\"doi\":\"10.1109/CONECCT55679.2022.9865788\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cardiac monitoring devices have multiplied in the last few years, and have become instantly accessible hence leading to newer indications. 50 and more years ago, it was only used for critically ill patients, for an arrhythmia watch. The present day compact form factor, coupled with a real time online data display has now expanded indications to include identification of arrhythmias, ischaemia and QT intervals in drug trials. The current trend has been to enable longer and longer monitoring periods thus reducing the chance of missing significant arrhythmias. The cost of this is an increased waiting time for deployment and for analysis. Yet a significant number of arrhythmias may be identified with short monitoring periods of even a few minutes [1]. We present our experience with Sydäntek, from Carditek Medical Device, in office cardiology as a short term monitor. The study was undertaken in all diabetic, hypertensive and post stroke patients attending a routine cardiology clinic. Results showed unexpected bradycardia, atrial fibrillation, ventricular ectopics, ventricular tachycardia and pauses, leading to modification of medications and doses. This would have been missed with a routine 6 sec ECG which is the norm in the clinic . The report from this device is immediate with automation, analytics for 8 clinically significant arrhythmias, algorithms to detect non-usable, noisy segments, max and minimum heart rate, respiratory patterns and heart rate variability. We present the clinical implications and technical details for the automation . We propose that even short term, 30 min ECG monitoring has a role in effective and improved management of the patients.\",\"PeriodicalId\":380005,\"journal\":{\"name\":\"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONECCT55679.2022.9865788\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONECCT55679.2022.9865788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在过去的几年中,心脏监测设备成倍增加,并且可以立即获得,因此导致了新的适应症。50多年前,它只用于危重病人,用于心律失常手表。目前紧凑的外形因素,加上实时在线数据显示,现已扩大适应症,包括心律失常,缺血和药物试验QT间期的识别。目前的趋势是使监测时间越来越长,从而减少了遗漏重大心律失常的机会。这样做的代价是增加了部署和分析的等待时间。然而,有相当数量的心律失常可以通过短短几分钟的监测时间来识别[1]。我们介绍我们的经验Sydäntek,从卡迪特克医疗设备,在办公室心脏病学作为短期监测。这项研究是在所有参加常规心脏病门诊的糖尿病、高血压和中风后患者中进行的。结果显示意外的心动过缓,房颤,室性异位,室性心动过速和暂停,导致药物和剂量的改变。这可能会被常规的6秒心电图遗漏,这是诊所的标准。该设备的报告是即时的自动化,分析8临床显著心律失常,算法检测不可用,嘈杂段,最大和最小心率,呼吸模式和心率变异性。我们介绍了自动化的临床意义和技术细节。我们认为,即使是短期的,30分钟的心电图监测也可以有效地改善患者的管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
30 minute Short Holter Monitoring in Outpatient Practices - New Clues to Diagnosis
Cardiac monitoring devices have multiplied in the last few years, and have become instantly accessible hence leading to newer indications. 50 and more years ago, it was only used for critically ill patients, for an arrhythmia watch. The present day compact form factor, coupled with a real time online data display has now expanded indications to include identification of arrhythmias, ischaemia and QT intervals in drug trials. The current trend has been to enable longer and longer monitoring periods thus reducing the chance of missing significant arrhythmias. The cost of this is an increased waiting time for deployment and for analysis. Yet a significant number of arrhythmias may be identified with short monitoring periods of even a few minutes [1]. We present our experience with Sydäntek, from Carditek Medical Device, in office cardiology as a short term monitor. The study was undertaken in all diabetic, hypertensive and post stroke patients attending a routine cardiology clinic. Results showed unexpected bradycardia, atrial fibrillation, ventricular ectopics, ventricular tachycardia and pauses, leading to modification of medications and doses. This would have been missed with a routine 6 sec ECG which is the norm in the clinic . The report from this device is immediate with automation, analytics for 8 clinically significant arrhythmias, algorithms to detect non-usable, noisy segments, max and minimum heart rate, respiratory patterns and heart rate variability. We present the clinical implications and technical details for the automation . We propose that even short term, 30 min ECG monitoring has a role in effective and improved management of the patients.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Signal Integrity Issues in FPGA based multi-motor microstepping Drives Organ Bank Based on Blockchain A Novel Deep Architecture for Multi-Task Crowd Analysis Convolutional Neural Network-based ECG Classification on PYNQ-Z2 Framework Improved Electric Vehicle Digital Twin Performance Incorporating Detailed Lithium-ion Battery Model
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1