Exploring the feasibility of seamless remote heart rate measurement using multiple synchronized cameras
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Xun Chen | Rencheng Song | Juan Cheng | Yu Liu | Xingmao Wang | Chang Li | Rencheng Song | Xun Chen | Juan Cheng | Yu Liu | Chang Li | Xingmao Wang
[1] J. Fleiss. The design and analysis of clinical experiments , 1987 .
[2] Z. Jane Wang,et al. A Novel EEMD-CCA Approach to Removing Muscle Artifacts for Pervasive EEG , 2019, IEEE Sensors Journal.
[3] L. O. Svaasand,et al. Remote plethysmographic imaging using ambient light. , 2008, Optics express.
[4] Gerard de Haan,et al. Robust Pulse Rate From Chrominance-Based rPPG , 2013, IEEE Transactions on Biomedical Engineering.
[5] Steffen Leonhardt,et al. Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review , 2018, Sensors.
[6] Yu Sun,et al. Use of ambient light in remote photoplethysmographic systems: comparison between a high-performance camera and a low-cost webcam. , 2012, Journal of biomedical optics.
[7] Rabab Kreidieh Ward,et al. A Preliminary Study of Muscular Artifact Cancellation in Single-Channel EEG , 2014, Sensors.
[8] Rosalind W. Picard,et al. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation , 2022 .
[9] L. Tarassenko,et al. Non-contact video-based vital sign monitoring using ambient light and auto-regressive models , 2014, Physiological measurement.
[10] Chern-Loon Lim,et al. Dynamic heart rate estimation using principal component analysis. , 2015, Biomedical optics express.
[11] Ethan B. Blackford,et al. Recovering pulse rate during motion artifact with a multi-imager array for non-contact imaging photoplethysmography , 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[12] Ethan B. Blackford,et al. Using consumer-grade devices for multi-imager non-contact imaging photoplethysmography , 2017, BiOS.
[13] Rabab K. Ward,et al. Video-Based Heart Rate Measurement: Recent Advances and Future Prospects , 2019, IEEE Transactions on Instrumentation and Measurement.
[14] Matti Pietikäinen,et al. Remote Heart Rate Measurement from Face Videos under Realistic Situations , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Hong Liu,et al. Linear canonical correlation analysis based ranking approach for facial age estimation , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[16] Asanka G. Perera,et al. Remote monitoring of cardiorespiratory signals from a hovering unmanned aerial vehicle , 2017, BioMedical Engineering OnLine.
[17] Sander Stuijk,et al. A Novel Algorithm for Remote Photoplethysmography: Spatial Subspace Rotation , 2016, IEEE Transactions on Biomedical Engineering.
[18] Charlotte Soneson,et al. Integrative analysis of gene expression and copy number alterations using canonical correlation analysis , 2010, BMC Bioinformatics.
[19] Peter J Lesniewski,et al. Signal recovery in imaging photoplethysmography , 2013, Physiological measurement.
[20] Hong Yan,et al. A Machine Learning Approach to Improve Contactless Heart Rate Monitoring Using a Webcam , 2014, IEEE Journal of Biomedical and Health Informatics.
[21] Tomasz Kocejko,et al. Proceedings of the Federated Conference on Computer Science and Information Systems pp. 405–410 ISBN 978-83-60810-22-4 Measuring Pulse Rate with a Webcam – a Non-contact Method for Evaluating Cardiac Activity , 2022 .
[22] Yu Sun,et al. Motion-compensated noncontact imaging photoplethysmography to monitor cardiorespiratory status during exercise. , 2011, Journal of biomedical optics.
[23] Thomas B. Moeslund,et al. Heartbeat Rate Measurement from Facial Video , 2016, IEEE Intelligent Systems.
[24] David A. Clausi,et al. Feasibility of long-distance heart rate monitoring using transmittance photoplethysmographic imaging (PPGI) , 2015, Scientific reports.
[25] Fang Zhao,et al. Camera-Based, Non-Contact, Vital-Signs Monitoring Technology May Provide a Way for the Early Prevention of SIDS in Infants , 2016, Front. Neurol..
[26] Xueyuan Xu,et al. The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings , 2018, IEEE Transactions on Instrumentation and Measurement.
[27] Kwang Suk Park,et al. Heart rate estimation from facial photoplethysmography during dynamic illuminance changes , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[28] Philip H. S. Torr,et al. Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[29] W. Verkruysse,et al. Non-contact heart rate monitoring utilizing camera photoplethysmography in the neonatal intensive care unit - a pilot study. , 2013, Early human development.
[30] Lai-Man Po,et al. Block-based adaptive ROI for remote photoplethysmography , 2018, Multimedia Tools and Applications.
[31] Lai-Man Po,et al. Motion-Resistant Remote Imaging Photoplethysmography Based on the Optical Properties of Skin , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[32] Suh-Yin Lee,et al. Image Sensor-Based Heart Rate Evaluation From Face Reflectance Using Hilbert–Huang Transform , 2015, IEEE Sensors Journal.
[33] A S Malik,et al. Novel health monitoring method using an RGB camera. , 2017, Biomedical optics express.
[34] Xun Chen,et al. Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode Decomposition , 2017, IEEE Journal of Biomedical and Health Informatics.
[35] Xun Chen,et al. A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson’s Disease , 2014, IEEE Journal of Biomedical and Health Informatics.
[36] Sander Stuijk,et al. Algorithmic Principles of Remote PPG , 2017, IEEE Transactions on Biomedical Engineering.
[37] Zhiqi Shen,et al. Video-based human heart rate measurement using joint blind source separation , 2017, Biomed. Signal Process. Control..
[38] Giuseppe Polese,et al. EDCAR: A knowledge representation framework to enhance automatic video surveillance , 2019, Expert Syst. Appl..
[39] Raymond Chiong,et al. Remote heart rate measurement using low-cost RGB face video: a technical literature review , 2018, Frontiers of Computer Science.
[40] Rabab K. Ward,et al. Removing Muscle Artifacts From EEG Data: Multichannel or Single-Channel Techniques? , 2016, IEEE Sensors Journal.
[41] Mika P. Tarvainen,et al. An advanced detrending method with application to HRV analysis , 2002, IEEE Transactions on Biomedical Engineering.
[42] Magdalena Madej,et al. Measuring Pulse Rate with a Webcam , 2012 .
[43] Zdenek Kalal,et al. Tracking-Learning-Detection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Vince D. Calhoun,et al. Canonical Correlation Analysis for Data Fusion and Group Inferences , 2010, IEEE Signal Processing Magazine.
[45] Ethan B. Blackford,et al. Fusing Partial Camera Signals for Noncontact Pulse Rate Variability Measurement , 2018, IEEE Transactions on Biomedical Engineering.
[46] Juan Cheng,et al. Illumination variation interference suppression in remote PPG using PLS and MEMD , 2017 .
[47] H Malberg,et al. Camera-based photoplethysmography in critical care patients. , 2016, Clinical hemorheology and microcirculation.
[48] Zhao Yang,et al. Motion-tolerant heart rate estimation from face videos using derivative filter , 2019, Multimedia Tools and Applications.
[49] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[50] Yu Sun,et al. Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging , 2016, IEEE Transactions on Biomedical Engineering.
[51] Zhiqi Shen,et al. Physiological parameter monitoring of drivers based on video data and independent vector analysis , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[52] Xun Chen,et al. Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods , 2016, IEEE Signal Processing Magazine.
[53] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[54] Daniel McDuff,et al. Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam , 2011, IEEE Transactions on Biomedical Engineering.