腕部光电容积描记法检测搏动间期 术后窦性心律伴心房颤动患者

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摘要翻译：
腕部光电容积描记术(PPG)允许不引人注目地监测心率(HR)。PPG受毛细血管血流灌注和心脏泵血功能的影响，通常随着年龄的增长和心律失常的存在而恶化。腕部PPG在监测老年心律失常患者搏动间心率方面的表现尚未见报道。我们在麻醉后护理病房监测了18例手术后康复患者的腕部PPG，并评价了搏动间期(IBI)与基于心电图的R--R间期(RRI)的检测准确性。记录时9例出现窦性心律(SR，68.0Y$\pm$10.2Y，男性6例），9例出现房颤(AF，71.3Y$\pm$7.8Y，男性4例）。SR组99.44%的节拍被正确识别，2.39%的额外节拍被检测出来，平均绝对误差(MAE)为7.34ms。AF组97.49%的心跳被正确识别，2.26%的额外心跳被检测到，MAE为14.31ms。因此，PPG中的IBI与两组的ECG参考值密切一致。结果提示腕部PPG是一种舒适的心电图替代方法，可用于房颤发作的长期监测和筛查。
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英文标题：
《Detection of Beat-to-Beat Intervals from Wrist Photoplethysmography in
  Patients with Sinus Rhythm and Atrial Fibrillation after Surgery》
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作者：
Adrian Tarniceriu, Jarkko Harju, Antti Vehkaoja, Jakub Parak, Ricard
  Delgado-Gonzalo, Philippe Renevey, Arvi Yli-Hankala, Ilkka Korhonen
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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：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Wrist photoplethysmography (PPG) allows unobtrusive monitoring of the heart rate (HR). PPG is affected by the capillary blood perfusion and the pumping function of the heart, which generally deteriorate with age and due to presence of cardiac arrhythmia. The performance of wrist PPG in monitoring beat-to-beat HR in older patients with arrhythmia has not been reported earlier. We monitored PPG from wrist in 18 patients recovering from surgery in the post anesthesia care unit, and evaluated the inter-beat interval (IBI) detection accuracy against ECG based R-to-R intervals (RRI). Nine subjects had sinus rhythm (SR, 68.0y$\pm$10.2y, 6 males) and nine subjects had atrial fibrillation (AF, 71.3y$\pm$7.8y, 4 males) during the recording. For the SR group, 99.44% of the beats were correctly identified, 2.39% extra beats were detected, and the mean absolute error (MAE) was 7.34 ms. For the AF group, 97.49% of the heartbeats were correctly identified, 2.26% extra beats were detected, and the MAE was 14.31 ms. IBI from the PPG were hence in close agreement with the ECG reference in both groups. The results suggest that wrist PPG provides a comfortable alternative to ECG and can be used for long-term monitoring and screening of AF episodes.
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PDF链接：
https://arxiv.org/pdf/1711.02868

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关键词：Applications Optimization Application performance Alternative PPG wrist 心率 方法 患者