Analysis of Spectral Estimation Algorithms for Accurate Heart Rate and Respiration Rate Estimation Using an Ultra-Wideband Radar Sensor

IF 17.2 1区 工程技术 Q1 ENGINEERING, BIOMEDICAL IEEE Reviews in Biomedical Engineering Pub Date : 2022-10-10 DOI:10.1109/RBME.2022.3212695
Kareeb Hasan;Malikeh P. Ebrahim;Hongqiang Xu;Mehmet R. Yuce
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Abstract

Non-contact vital sign monitoring has been an important research topic recently due to the ability to monitor patients for an extended period especially during sleep without requiring uncomfortable attachments. Radar is a popular sensor for vital sign monitoring research. Various algorithms have been proposed for estimating respiration rate and heart rate from the radar data. But many algorithms rely on Fast Fourier Transform (FFT) to convert time domain signal to the frequency domain and estimate vital signs, despite FFT having limitation of frequency resolution being inverse of the time interval of data sample. However, there are other spectral estimation algorithms, which have not been much researched into the suitability of vital sign estimation using radar signals. In this paper, we compared eight different types of spectral estimation algorithms, including FFT, for respiration rate and heart rate estimation of stationary subjects in a controlled environment. The evaluation is based on extensive data consisting of different stationary subject positions. Considering the results, the eligibility of algorithms other than FFT for respiration rate and heart rate estimation is demonstrated. Using this work, researchers can get an overview on which algorithm is suitable for their work without the need to review individual algorithms separately.
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使用超宽带雷达传感器准确估算心率和呼吸率的频谱估算算法分析。
非接触式生命体征监测是最近的一个重要研究课题,因为它能够对病人进行长时间监测,尤其是在睡眠期间,而不需要不舒服的附件。雷达是生命体征监测研究中常用的传感器。人们提出了各种算法,用于从雷达数据中估算呼吸频率和心率。但是,尽管快速傅立叶变换(FFT)具有频率分辨率为数据采样时间间隔倒数的限制,许多算法仍依赖于快速傅立叶变换(FFT)将时域信号转换为频域信号并估算生命体征。不过,还有其他一些频谱估计算法,但对其是否适用于利用雷达信号估计生命体征的研究还不多。在本文中,我们比较了包括 FFT 在内的八种不同类型的频谱估计算法,用于在受控环境中估计静止受试者的呼吸频率和心率。评估基于由不同静止主体位置组成的大量数据。评估结果表明,除 FFT 外,其他算法也适用于呼吸频率和心率估算。通过这项工作,研究人员可以大致了解哪种算法适合他们的工作,而无需单独审查各个算法。
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来源期刊
IEEE Reviews in Biomedical Engineering
IEEE Reviews in Biomedical Engineering Engineering-Biomedical Engineering
CiteScore
31.70
自引率
0.60%
发文量
93
期刊介绍: IEEE Reviews in Biomedical Engineering (RBME) serves as a platform to review the state-of-the-art and trends in the interdisciplinary field of biomedical engineering, which encompasses engineering, life sciences, and medicine. The journal aims to consolidate research and reviews for members of all IEEE societies interested in biomedical engineering. Recognizing the demand for comprehensive reviews among authors of various IEEE journals, RBME addresses this need by receiving, reviewing, and publishing scholarly works under one umbrella. It covers a broad spectrum, from historical to modern developments in biomedical engineering and the integration of technologies from various IEEE societies into the life sciences and medicine.
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