一种非侵入式的节拍可视化方法,用于他的捆绑信号
S Sengottuvel1, S Shenbaga Devi2, M Sasikala2
1SQUIDs Applications Section, SQUID and Detector Technology Division, Materials Science Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, India.
概括
这项研究引入了一种新的非侵入性方法,从单个心跳中提取His捆绑信号 (HBS),克服了心电图和磁心图的挑战. 该技术在大多数受试者中成功发现了HBS,为改善心脏评估铺平了道路.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 侵入性通过电生理学研究 (EPS) 记录他的束信号 (HBS) 对于确定HV间隔至关重要.
- 像身体表面潜力测绘 (BSPM) 和磁心图 (MCG) 等非侵入性方法平均许多心脏周期来估计HBS.
- 由于心房信号干扰和噪音,非侵入性地提取节拍HBS是很困难的.
研究的目的:
- 开发和验证一种新的非侵入性技术,从单个心脏周期中提取His束信号 (HBS).
- 克服现有的非侵入性方法的局限性,以捕捉HBS的节奏.
- 用磁心图 (MCG) 数据评估新方法的疗效.
主要方法:
- 开发了一种结合间隔依赖波纹值 (IDWT) 和信号空间投影 (SSP) 的方法,以从单个心跳中删除文物.
- 使用信号平均痕迹与突出的HBS作为消除文物指南.
- 将该方法应用于已知HV间隔 (来自EPS) 的21名受试者的MCG数据和5名受试者的BSPM数据.
主要成果:
- 在21名受试者中,在19名受试者中成功地从单击中提取了HBS,与EPS的时间差异在-8至11个月内.
- 在节拍间的轮中观察到对齐的HBS模式,在压力-MCG中比在BSPM中更明显.
- 确定该方法的性能适用于MCG数据,其信号噪声比至少为20dB.
结论:
- 开发的方法使 His 捆绑信号 (HBS) 的非侵入性,节拍式提取成为可能.
- 这种技术显示出更准确和更容易获得的心脏电生理学评估的希望.
- 建议在临床环境中进一步应用非侵入性HBS评估.
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