一种基于增强现实的方法来评估心前电心图的结果:一个可行性试验
Peter Daniel Serfözö1, Robin Sandkühler2, Bibiana Blümke1
1Department of Digitalisation and ICT, Chief Medical Information Officer (CMIO) Office, University Hospital Basel, Hebelstrasse 10, Basel 4031, Switzerland.
European heart journal. Digital health
|October 5, 2023
概括
本研究介绍了智能手表心电图 (ECG) 的增强现实应用程序,简化了用于心脏病理检测的领先位置. 该应用程序实现了高精度,证明了其远程心脏监测的潜力.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 医疗技术 医疗技术 医学技术
背景情况:
- 智能手表心电图 (ECG) 对检测心脏病如心肌缺血等有前途.
- 双极性胸部导线的准确放置是智能手表在门诊环境中ECG的重要障碍.
研究的目的:
- 开发和评估基于增强现实 (AR) 的智能手机应用程序,以指导正确的智能手表ECG位.
- 评估AR引导的多通道智能手表在门诊环境中ECG记录的可行性和准确性.
主要方法:
- 开发了一个AR智能手机应用程序,利用前置摄像头指导用户将智能手表放置在预定义的胸部位置 (V1-V6).
- 训练了一种机器学习模型 (MobileNet_v2),以识别领先位置并将其投射到用户的胸部.
- 患者在应用程序的帮助下记录了9智能手表心电图;传统的12心电图作为比较.
- 盲人心脏病学家根据视觉特征将智能手表心电图与标准单极威尔逊导线进行了比较.
主要成果:
- 所有50名患者都成功地用应用程序协助记录了智能手表的9个导线心电图.
- 12名患者独立地使用该应用程序记录了所有四肢和胸部线索.
- 至少有86%的智能手表心电图线被盲目心脏病学家正确地分配给标准单极威尔逊线,这表明与传统心电图的相似性很高.
结论:
- 一种基于AR的方法使得智能手表在门诊环境中实现独立的多通道心电图记录.
- 开发的AR应用程序显著提高了智能手表ECG位的准确性和方便性.
- 这项技术具有增强远程心脏监测和早期发现心脏病理的潜力.
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