Heart Rate Measurement Using Non-invasive Sparse Signal Approach

Aliyu Nuhu Shuaibu, D. Dajab, F. Usman
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引用次数: 1

Abstract

High rate of occurrences of cardiovascular diseases has led to development of devices and systems that can measure and detect early warning symptoms of abnormalities. Recent studies show that cardiovascular diseases are the topmost leading cause of death, thus we need to detect symptoms of these diseases before they deteriorate. There is a need to develop systems that will monitor cardiovascular properties such as pulse rate and blood oxygen concentration. This will be very useful to people at high risks of cardiovascular ilness. In this paper, sparse representation technique has been used to monitor the heart rate using IP camera. The PPG signal is used to estimate the physical parameters using non-invasive camera. The result is compared with existing dictionaries such as discrete wavelet transform and discrete cosine transform for sparse signal reconstruction. The results show that the proposed method produced better performance Signal-to-Noise Ratio (SNR) as compared to the start-of-the-art methods.
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基于无创稀疏信号方法的心率测量
心血管疾病的高发生率导致了能够测量和检测异常早期预警症状的设备和系统的发展。最近的研究表明,心血管疾病是最主要的死亡原因,因此我们需要在这些疾病恶化之前发现它们的症状。有必要开发监测心血管特性的系统,如脉搏率和血氧浓度。这对心血管疾病高危人群非常有用。本文将稀疏表示技术应用于网络摄像机的心率监测。利用非侵入式摄像机,利用PPG信号估计物理参数。结果与现有的离散小波变换和离散余弦变换等稀疏信号重构字典进行了比较。结果表明,与现有方法相比,该方法具有更好的信噪比(SNR)性能。
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