• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Optical diagnostics and sensing XVIII: Toward Point-of-Care Diagnostics >CameraHRV: Robust measurement of Heart Rate Variability using a Camera
【24h】

CameraHRV: Robust measurement of Heart Rate Variability using a Camera

机译：CameraHRV：使用相机进行心率变异性的可靠测量

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The inter-beat-interval (time period of the oardiae cycle) changes slightly for every heartbeat: this variation is measured as Heart Rate Variability (HRV). HRV is presumed to occur due to interactions between the parasym-pathetic and sympathetic nervous system. Therefore, it is sometimes used as an indicator of the stress level of an individual. HRV also reveals some clinical information about cardiac health. Currently, HRV is accurately measured using contact, devices such as a pulse oximeter. However, recent, research in the field of non-cont-act imaging Photoplethysmography (iPPG) has made vital sign measurements using just, the video recording of any exposed skin (such as a person's face) possible. The current signal processing methods for extracting HRV using peak detection perform well for contact-based systems but have poor performance for the iPPG signals. The main reason for this poor performance is the fact that current methods are sensitive to large noise sources which are often present in iPPG data. Further, current methods are not robust to motion artifacts that are common in iPPG systems. We developed a new algorithm, CameraHRV. for robustly extracting HRV even in low SNR such as is common with iPPG recordings. CameraHRV combined spatial combination and frequency demodulation to obtain HRV from the instantaneous frequency of the iPPG signal. CameraHRV outperforms other current methods of HRV estimation. Ground truth data was obtained from FDA-approved pulse oximeter for validation purposes. CameraHRV on iPPG data showed an error of 6 milliseconds for low motion and varying skin tone scenarios. The improvement in error was 14%. In case of high motion scenarios like reading, watching and talking, the error was 10 milliseconds.
机译：每次心跳之间的心跳间隔（心律失常周期的时间间隔）略有变化：此变化以心率变异性（HRV）来衡量。推测HRV是由于副交感神经和交感神经系统之间的相互作用而发生的。因此，有时将其用作个人压力水平的指标。 HRV还揭示了一些有关心脏健康的临床信息。当前，HRV是使用接触式设备（例如脉搏血氧仪）精确测量的。然而，近来，在非连续成像光电容积描记术（iPPG）领域的研究已经使得仅使用裸露的皮肤（例如人的脸部）的视频记录进行生命体征测量成为可能。当前使用峰值检测来提取HRV的信号处理方法在基于接触的系统中表现良好，但对iPPG信号的性能却很差。造成这种性能下降的主要原因是，当前的方法对iPPG数据中经常存在的大噪声源敏感。此外，当前的方法对于iPPG系统中常见的运动伪影不是鲁棒的。我们开发了一种新算法CameraHRV。即使在低SNR（例如iPPG录音中常见）的情况下，也可以可靠地提取HRV。 CameraHRV将空间组合和频率解调相结合，从iPPG信号的瞬时频率获得HRV。 CameraHRV优于目前的其他HRV估计方法。地面真实数据是从FDA批准的脉搏血氧仪获得的，用于验证。 iPPG数据上的CameraHRV在低速运动和肤色变化情况下显示6毫秒的误差。误差提高了14％。在诸如阅读，观看和交谈这样的高速运动的情况下，错误为10毫秒。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号