基于倒谱的心率估计

12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL) Pub Date : 2014-11-01 DOI:10.1109/NEUREL.2014.7011448

M. Milivojević, A. Gavrovska, Marijeta S. Slavkovic-Ilic, I. Reljin

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引用次数: 1

摘要

心率(HR)的估算在人体健康评价中具有重要意义，可作为心血管状态的重要指标。本文提出了一种基于接触的心率采集系统，该系统由笔记本电脑和网络摄像头组成。在这种系统中，心率变异性(HRV)会影响指尖皮肤颜色的变化，同时按压相机镜头使其完全接触。根据视频序列处理结果估计HR值。该方法采用局部方法进行特征提取和基于倒谱的分析。实验结果与正常人参考脉搏仪进行了比较。平均误差为5%。

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Cepstral based heart rate estimation

Heart rate (HR) estimation is of crucial importance in human health evaluation and can be considered as valuable indicator of cardiovascular state. In this paper contact based system for heart rate is presented, where system for HR acquisition is consisted of a laptop and web camera. In such system heart rate variability (HRV) affects the changes in skin color of a fingertip while pressing the camera lens to make the full contact. HR value is estimated according to video sequence processing results. The proposed methodology uses local approach for feature extraction and cepstral based analysis. Experimental results are compared with referent pulse meter for healthy subjects. The average error of 5% is obtained.

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12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)

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