基于运动伪影的耳内微光学传感器心率变异性分析

2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks Pub Date : 2009-06-03 DOI:10.1109/BSN.2009.19

T. Wartzek, Stefan Vogel, Thomas Hennig, O. Brodersen, M. Hülsbusch, M. Herzog, S. Leonhardt

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引用次数: 9

摘要

心率的可变性已成为衡量循环系统整体状况的普遍指标。本文提出了一种通过耳内脉搏氧饱和度测量(In - monit)来测定心率的新方法。来自耳道的脉冲信号主要受下颌运动的影响。这种影响会使脉冲速率的精确测定复杂化，并可能在推导的速度图中产生缺陷。因此，本文研究了心跳间隔的相关特性，以及速度图中可能存在的缺陷对分析结果的影响。结果表明，使用先进的统计时间序列分析方法(如lomb周期图)是合适的，以分析信号，而无需进一步复杂的滤波器设计。结合这种数学方法，IN-MONIT系统提供了在不干扰被监测对象正常生活的情况下进行24/7全天候监测的机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of Heart Rate Variability with an In-Ear Micro-Optic Sensor in View of Motion Artifacts

The variability of the heart rate has emerged to a popular marker for the overall condition of the circulatory system. In this paper, a novel approach for determining the heart rate by pulseoxymetric measurements inside the ear (IN-MONIT) is presented. Pulse signals from the auditory canal are mainly influenced by jaw motions. This influence can complicate the precise determination of the pulse rate and may yield lacks in the derivated tachograms. Therefore, the correlation properties of heart beat intervals and the influence of possible lacks in the tachograms on the outcome of the analysis are studied. It is shown that the usage of advanced methods of statistical time series analysis (e.g. Lomb-periodograms) is suitable in order to analyse signals without further complex filter designs. Together with this mathematical approach, the IN-MONIT system offers the opportunity to perform a 24/7 monitoring without disturbing the normal life of the monitored subject.

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来源期刊

2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks

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