摘要翻译：
目的：建立一个算法框架和一个基准数据集，用于比较利用成像光电容积描记术(iPPG)估计脉搏率的方法。方法：首先，我们揭示了从面部视频中估计脉搏率的基本步骤，并回顾了在每个步骤中应用的方法。然后，我们研究了这些方法在DEAP数据集www.eecs.qmul.ac.uk/mmv/datasets/DEAP/上的性能。主要结果：从POS方法提取的iPPG中，利用连续小波变换估计脉搏率，获得了最佳的估计精度（总平均绝对误差小于每分钟2次心跳）。意义：我们提供了一个通用的框架，用于从iPPG的脉搏率估计方法的理论比较，并在一个可用作基准的公开数据集上报告最流行的方法的结果。
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英文标题：
《Pulse rate estimation using imaging photoplethysmography: generic
  framework and comparison of methods on a publicly available dataset》
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作者：
Anton M. Unakafov
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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一级分类：Physics        物理学
二级分类：Data Analysis, Statistics and Probability        数据分析、统计与概率
分类描述：Methods, software and hardware for physics data analysis: data processing and storage; measurement methodology; statistical and mathematical aspects such as parametrization and uncertainties.
物理数据分析的方法、软硬件：数据处理与存储；测量方法；统计和数学方面，如参数化和不确定性。
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一级分类：Physics        物理学
二级分类：Medical Physics        医学物理学
分类描述：Radiation therapy. Radiation dosimetry. Biomedical imaging modelling.  Reconstruction, processing, and analysis. Biomedical system modelling and analysis. Health physics. New imaging or therapy modalities.
放射治疗。辐射剂量学。生物医学成像建模。重建、处理和分析。生物医学系统建模与分析。健康物理学。新的成像或治疗方式。
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英文摘要：
  Objective: to establish an algorithmic framework and a benchmark dataset for comparing methods of pulse rate estimation using imaging photoplethysmography (iPPG). Approach: first we reveal essential steps of pulse rate estimation from facial video and review methods applied at each of the steps. Then we investigate performance of these methods for DEAP dataset www.eecs.qmul.ac.uk/mmv/datasets/deap/ containing facial videos and reference contact photoplethysmograms. Main results: best assessment precision is achieved when pulse rate is estimated using continuous wavelet transform from iPPG extracted by the POS method (overall mean absolute error below 2 heart beats per minute). Significance: we provide a generic framework for theoretical comparison of methods for pulse rate estimation from iPPG and report results for the most popular methods on a publicly available dataset that can be used as a benchmark.
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PDF链接：
https://arxiv.org/pdf/1710.08369