人工智能对心脏声音进行诊断,使用超级立声镜进行差异化
Shimpei Ogawa1, Fuminori Namino1, Tomoyo Mori1
1AMI Inc., Kagoshima, Japan.
Journal of cardiology
|September 21, 2023
概括
超级语音仪通过捕获无声频率和心电图数据来增强心脏声音查,改善心力衰竭和膜心脏病检测的远程医疗. 这旨在克服传统听术的局限性.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 心力衰竭和心脏膜疾病给全球健康带来了重大挑战.
- 目前的选方法,如听觉,在技能变化,客观性和捕捉所有相关的心声方面都有局限性.
- 需要改善,客观和全面的心脏病查工具.
研究的目的:
- 介绍Super StethoScope,一种新的硬件设备,旨在克服传统听觉的局限性.
- 探索使用超级立声镜在远程医疗中的远程听觉的应用.
- 评估市场需求和临床医生对先进的心声分析工具的期望.
主要方法:
- 开发超级立声仪硬件,同时采集心电图 (ECG) 和心脏声音.
- 优化信号噪音比率和获取可听和不可听的频率范围内的心脏声音.
- 对3648名医生进行了在线调查,调查了当前的听诊实践和对基于人工智能的系统的兴趣.
主要成果:
- 超级语音仪 (Super StethoScope) 可以捕捉更广泛的频率范围内的心脏声音,包括听不到的声音,并集成心电图来分析心率变化.
- 该设备通过数据可视化提供了定量结果,减轻了远程听觉声音质量的问题.
- 调查结果表明,听觉仍然是主要的方法,对人工智能驱动的心声分析集成有强烈的兴趣.
结论:
- 超级语音仪在心脏声音查方面取得了重大进展,解决了传统方法的局限性.
- 该设备具有强大的潜力,可以增强心脏病学中的远程医疗应用.
- 它准备推进心脏声音研究和临床实践,特别是在AI集成方面.
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