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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.

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/e381/8947007/6a5ed16dfc3b/diagnostics-12-00712-g001.jpg

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