Cited by 126Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic ControlEmotion and Mood Recognition

The DOI matches its Crossref record; 40 of the 42 references it cites were found in a registry or an index.

Algorithms for Monitoring Heart Rate and Respiratory Rate From the Video of a User’s Face

Open access

Sanyal, Shourjya, Nundy, Koushik Kumar·2018·IEEE Journal of Translational Engineering in Health and Medicine

DOI 10.1109/jtehm.2018.2818687PMC PMC5957265

Open this paper in CoChat — free account

Abstract

. In this pilot study, we have introduced a novel iPPG method where by measuring variations in color of reflected light, i.e., Hue, and can therefore measure both HR and respiratory rate (RR) from the video of a subject's face. This paper was performed on 25 healthy individuals (Ages 20-30, 15 males and 10 females, and skin color was Fitzpatrick scale 1-6). For each subject we took two 20 second video of the subject's face with minimal movement, one with flash ON and one with flash OFF. While recording the videos we simultaneously measuring HR using a Biosync B-50DL Finger Heart Rate Monitor, and RR using self-reporting. This paper shows that our proposed approach of measuring iPPG using Hue (range 0-0.1) gives more accurate readings than the Green channel. HR/Hue (range 0-0.1) ([Formula: see text], [Formula: see text]-value = 4.1617, and RMSE = 0.8887) is more accurate compared with HR/Green ([Formula: see text], [Formula: see text]-value = 11.60172, and RMSE = 0.9068). RR/Hue (range 0-0.1) ([Formula: see text], [Formula: see text]-value = 0.2885, and RMSE = 3.8884) is more accurate compared with RR/Green ([Formula: see text], [Formula: see text]-value = 0.5608, and RMSE = 5.6885). We hope that this hardware agnostic approach for detection of vital signals will have a huge potential impact in telemedicine, and can be used to tackle challenges, such as continuous non-contact monitoring of neo-natal and elderly patients. An implementation of the algorithm can be found at https://pulser.thinkbiosolution.com.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1109/jtehm.2018.2818687

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects
(2013) · JAMA · doi:10.1001/jama.2013.281053 · Cited by 30,732
Rapid object detection using a boosted cascade of simple features
Viola, P., & Jones, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990517 · Cited by 18,300
Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use
Electrophysiology, T. F. O. T. E. S. O. C. T. N. A. (1996) · Circulation · doi:10.1161/01.cir.93.5.1043 · Cited by 17,159
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289
World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects
Cook, R. J., Dickens, B. M., & Fathalla, M. F. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199241323.003.0025 · Cited by 10,825
Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.
(1996) · PubMed · Cited by 2,718
Remote plethysmographic imaging using ambient light
Verkruysse, W., Svaasand, L. O., & Nelson, J. S. (2008) · Optics Express · doi:10.1364/oe.16.021434 · Cited by 1,728
Non-contact, automated cardiac pulse measurements using video imaging and blind source separation
Poh, M., McDuff, D., & Picard, R. W. (2010) · Optics Express · doi:10.1364/oe.18.010762 · Cited by 1,652
Eulerian video magnification for revealing subtle changes in the world
Wu, H., Rubinstein, M., Shih, E. I., Guttag, J. V., Durand, F., & Freeman, W. T. (2012) · ACM Transactions on Graphics · doi:10.1145/2185520.2185561 · Cited by 1,365
Heart Rate Monitoring
Achten, J., & Jeukendrup, A. E. (2003) · Sports Medicine · doi:10.2165/00007256-200333070-00004 · Cited by 1,286

Show all 42 references

Research works printed but not linked: 7

2016, RGB to HSL Color Conversion
2016, OpenCV Library
2016, Instant Heart Rate by Azumio Inc
2016, Fitbit
2016, Kinsa Smart Thermometer
2018, Vital Signs (Body Temperature Pulse Rate Respiration Rate Blood Pressure) Johns Hopkins Medicine Health Library
2016, CMS50DL Pulse Oximeter User Manual

Sorted by citations

Smartphone Sensors for Health Monitoring and Diagnosis
Majumder, S., & Deen, M. J. (2019) · Sensors · doi:10.3390/s19092164 · Cited by 455
Recent development of respiratory rate measurement technologies
Liu, H., Allen, J., Zheng, D., & Chen, F. (2019) · Physiological Measurement · doi:10.1088/1361-6579/ab299e · Cited by 276
Contactless Methods For Measuring Respiratory Rate: A Review
Massaroni, C., Nicolò, A., Sacchetti, M., & Schena, E. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3023486 · Cited by 190
Skin pigmentation influence on pulse oximetry accuracy: a systematic review and bibliometric analysis
Cabanas, A. M., Fuentes-Guajardo, M., Latorre, K., León, D., & Martín-Escudero, P. (2022) · Sensors · doi:10.3390/s22093402 · Cited by 124
Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review
Vinothini, S., Spicher, N., Wang, J., Ganapathy, N., Warnecke, J. M., Leonhardt, S. K., Swaminathan, R., & Deserno, T. M. (2022) · Sensors · doi:10.3390/s22114097 · Cited by 122
Predicting Stroke from Electronic Health Records
Nwosu, C. S., Dev, S., Bhardwaj, P., Veeravalli, B., & John, D. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8857234 · Cited by 98
Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications
Siam, A. I., Almaiah, M. A., Alzahrani, A., Elazm, A. A., El‐Banby, G. M., El‐Shafai, W., El‐Samie, F. E. A., & El-Bahnasawy, N. A. W. (2021) · Computational Intelligence and Neuroscience · doi:10.1155/2021/8016525 · Cited by 88
Contactless Vital Signs Monitoring From Videos Recorded With Digital Cameras: An Overview
Molinaro, N., Schena, E., Silvestri, S., Bonotti, F., Aguzzi, D., Viola, E., Buccolini, F., & Massaroni, C. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.801709 · Cited by 86
Anomalies Detection Through Smartphone Sensors: A Review
Krichen, M. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3051931 · Cited by 77
Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation
Sladky, V., Nejedlý, P., Mívalt, F., Brinkmann, B. H., Kim, I., Louis, E. K. S., Gregg, N. M., Lundstrom, B. N., Crowe, C. M., Attia, T. P., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac115 · Cited by 56
Person-Specific Heart Rate Estimation With Ultra-Wideband Radar Using Convolutional Neural Networks
Wu, S., Sakamoto, T., Oishi, K., Sato, T., Inoue, K., Fukuda, T., Mizutani, K., & Sakai, H. (2019) · IEEE Access · doi:10.1109/access.2019.2954294 · Cited by 52
Effectiveness of consumer-grade contactless vital signs monitors: a systematic review and meta-analysis
Pham, C., Poorzargar, K., Nagappa, M., Saripella, A., Parotto, M., Englesakis, M. F., Lee, K., & Chung, F. F. (2021) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-021-00734-9 · Cited by 43
Smartphone-based respiratory rate estimation using photoplethysmographic imaging and discrete wavelet transform
Alafeef, M., & Fraiwan, M. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01339-6 · Cited by 39
Respiration pattern recognition by wearable mask device
Tipparaju, V. V., Wang, D., Yu, J., Chen, F., Tsow, F., Forzani, E., Tao, N. J., & Xian, X. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112590 · Cited by 41
Remote Photoplethysmography for Heart Rate and Blood Oxygenation Measurement: A Review
Pirzada, P., Wilde, A., & Harris‐Birtill, D. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3405414 · Cited by 38
A Remote Respiration Rate Measurement Method for Non-Stationary Subjects Using CEEMDAN and Machine Learning
Ghodratigohar, M., Ghanadian, H., & Osman, H. A. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2946132 · Cited by 38
Harmonic Multiple Loop Detection (HMLD) Algorithm for Not-Contact Vital Sign Monitoring Based on Ultra-Wideband (UWB) Radar
Zhang, Y., Li, X., Qi, R. M., Qi, Z., & Zhu, H. (2020) · IEEE Access · doi:10.1109/access.2020.2976104 · Cited by 37
Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial
Allado, E., Poussel, M., Renno, J., Moussu, A., Hily, O., Temperelli, M., Albuisson, É., & Chenuel, B. J. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11133647 · Cited by 35
Perioperative comparison of the agreement between a portable fingertip pulse oximeter v. a conventional bedside pulse oximeter in adult patients (COMFORT trial)
Smith, R., & Hofmeyr, R. (2019) · South African Medical Journal · doi:10.7196/samj.2019.v109i3.13633 · Cited by 34
Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans
Mívalt, F., Křemen, V., Sladky, V., Balzekas, I., Nejedlý, P., Gregg, N. M., Lundstrom, B. N., Lepkova, K., Pridalova, T., Brinkmann, B. H., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac4bfd · Cited by 32
A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning
Debnath, U., & Kim, S. (2025) · BioMedical Engineering OnLine · doi:10.1186/s12938-025-01405-5 · Cited by 31
Efficient video-based breathing pattern and respiration rate monitoring for remote health monitoring.
Siam, A., El-Bahnasawy, N. A., Banby, G. M. E., Abou-El-azm, A., & El-Samie, F. A. A. (2020) · Journal of The Optical Society of America A-optics Image Science and Vision · doi:10.1364/josaa.399284 · Cited by 24
Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning
Antognoli, L., Moccia, S., Migliorelli, L., Casaccia, S., Scalise, L., & Frontoni, E. (2020) · Sensors · doi:10.3390/s20185362 · Cited by 27
PATRON: Exploring respiratory signal derived from non-contact face videos for face anti-spoofing
Birla, L., & Gupta, P. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115883 · Cited by 27
mmDrive: Fine-grained Fatigue Driving Detection Using mmWave Radar
Zhu, J., Cao, J., Yang, Y., Ren, W., & Han, H. (2023) · ACM Transactions on Internet of Things · doi:10.1145/3614437 · Cited by 28
Using video stream for continuous monitoring of breathing rate for general setting
Ganfure, G. O. (2019) · Signal, Image and Video Processing · doi:10.1007/s11760-019-01486-5 · Cited by 25
Contactless Camera-Based Heart Rate and Respiratory Rate Monitoring Using AI on Hardware
Kolosov, D., Kelefouras, V. I., Kourtessis, P., & Mporas, I. (2023) · Sensors · doi:10.3390/s23094550 · Cited by 26
Real-Time Video-based Heart and Respiration Rate Monitoring
Pourbemany, J., Essa, A. E., & Zhu, Y. (2021) · IEEE National Aerospace and Electronics Conference (NAECON) · doi:10.1109/naecon49338.2021.9696378 · Cited by 24
A real-time camera-based adaptive breathing monitoring system
Lee, Y., Syakura, A., Khalil, M.-A., Wu, C., Ding, Y.-F., & Wang, C. (2021) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-021-02371-5 · Cited by 24
Noncontact Neonatal Respiration Rate Estimation Using Machine Vision
Kyrollos, D. G., Tanner, J. B., Greenwood, K., Harrold, J., & Green, J. R. (2021) · IEEE Sensors Applications Symposium (SAS) · doi:10.1109/sas51076.2021.9530013 · Cited by 23
Fusion-Based Approach for Respiratory Rate Recognition From Facial Video Images
Fiedler, M.-A., Rapczyński, M., & Al-Hamadi, A. K. (2020) · IEEE Access · doi:10.1109/access.2020.3008687 · Cited by 22
Detecting Pulse Rates From Facial Videos Recorded in Unstable Lighting Conditions: An Adaptive Spatiotemporal Homomorphic Filtering Algorithm
Liu, X., Yang, X., Wang, D., & Wong, A. K. C. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.3021222 · Cited by 22
E-Quarantine: A Smart Health System for Monitoring Coronavirus Patients for Remotely QuarantinePreprint
El-Din, D. M., Hassanein, A. E., Hassanien, E. E., & Hussein, W. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.04187 · Cited by 21
Remote Photoplethysmography (rPPG): A State-of-the-Art ReviewPreprint
Pirzada, P., Wilde, A., Doherty, G. H., & Harris‐Birtill, D. (2023) · medRxiv · doi:10.1101/2023.10.12.23296882 · Cited by 21
Monitoring and sensing COVID-19 symptoms as a precaution using electronic wearable devices
Josephine, M. S., Lakshmanan, L., Nair, R. R., Visu, P., Ganesan, R., & Jothikumar, R. (2020) · International Journal of Pervasive Computing and Communications · doi:10.1108/ijpcc-06-2020-0067 · Cited by 20
Recent Advances in Atherosclerotic Disease Screening Using Pervasive Healthcare
Luo, J., Yan, Z., Guo, S., & Chen, W. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2021.3081180 · Cited by 20
Review of signal processing applications of Pyroelectric Infrared (PIR) sensors with a focus on respiration rate and heart rate detection
Çetin, A. E., Öztürk, Y., Hanosh, O., & Ansari, R. (2021) · Digital Signal Processing · doi:10.1016/j.dsp.2021.103247 · Cited by 20
VidAF: A Motion-Robust Model for Atrial Fibrillation Screening From Facial Videos
Liu, X., Yang, X., Wang, D., Wong, A. K. C., Ma, L., & Li, L. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3124967 · Cited by 19
ACTNet: Attention based CNN and Transformer network for respiratory rate estimation
Chen, H., Zhang, X., Guo, Z., Ying, N., Yang, M., & Guo, C. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106497 · Cited by 20
A Real-Time Remote Respiration Measurement Method with Improved Robustness Based on a CNN Model
Hwang, H., Lee, K., & Lee, E. C. (2022) · Applied Sciences · doi:10.3390/app122211603 · Cited by 17
VitaSi: A real-time contactless vital signs estimation system
Wang, H., Zhou, Y., & Saddik, A. E. (2021) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2021.107392 · Cited by 17
A Robust and Efficient Video Anti-Shaking Algorithm for Low-End Smartphone Platforms
Xie, Q., Chen, X., Zhang, L., Jiang, A. X., & Cui, F. (2018) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2018.2883456 · Cited by 16
Security beyond cybersecurity: side-channel attacks against non-cyber systems and their countermeasures
Spence, A., & Bangay, S. (2021) · International Journal of Information Security · doi:10.1007/s10207-021-00563-6 · Cited by 14
Robust and Remote Photoplethysmography Based on Smartphone Imaging of the Human Palm
Lian, C., Yang, Y., Yu, X., Sun, H., Zhao, Y., Zhang, G., & Li, W. J. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3264041 · Cited by 14
Deep face segmentation for improved heart and respiratory rate estimation from videos
Fiedler, M.-A., Werner, P., Rapczyński, M., & Al-Hamadi, A. K. (2023) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-023-04607-8 · Cited by 14
Contactless Diseases Diagnoses Using Wireless Communication Sensing: Methods and Challenges Survey
Abuali, N. A., Rehman, M., Mumtaz, S., Khan, M. B., Hayajneh, M., Ullah, F., & Shah, R. A. (2024) · ACM Computing Surveys · doi:10.1145/3648352 · Cited by 15
Breathe-to-Pair (B2P)
Pourbemany, J., Zhu, Y., & Bettati, R. (2022) · ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) · doi:10.1145/3507657.3528545 · Cited by 13
Monitoring of Physiological Signs and Their Impact on The Covid-19 Pandemic: Review
Bella, A., Latif, R., Saddik, A., & Guerrouj, F. Z. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202122901030 · Cited by 12
Estimation of Motion and Respiratory Characteristics during the Meditation Practice Based on Video Analysis
Kashevnik, A. M., Othman, W., Ryabchikov, I., & Shilov, N. G. (2021) · Sensors · doi:10.3390/s21113771 · Cited by 12
Hybrid Subcarrier Selection Method for Vital Sign Monitoring With Long-Term and Short-Term Data Considerations
Zhang, R., Wang, Z., Li, G., Wang, Y., Shuai, J., Zheng, J., Huang, J., & Bao, S. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3215443 · Cited by 12
Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring
Spence, A., & Bangay, S. (2020) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2020.3028996 · Cited by 12
Tracking Nostril Movement in Facial Video for Respiratory Rate Estimation
Mehta, A. D., & Sharma, H. K. (2020) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt49239.2020.9225464 · Cited by 11
OPOIRES: A robust non-contact respiratory rate extraction based on optimal points-of-interest selection from an RGB camera
Mehta, A. D., & Sharma, H. K. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105193 · Cited by 10
Lightweight and interpretable convolutional neural network for real-time heart rate monitoring using low-cost video camera under realistic conditions
Liu, Y., Guo, X., & Zhang, Y. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105461 · Cited by 10
Non-Contact Heart Rate Measurement Based on Adaptive Notch Filter and Elimination of Respiration Harmonics
Moushumi, T., Sasaoka, N., & Okamoto, Y. (2023) · IEEE Access · doi:10.1109/access.2023.3272895 · Cited by 10
Non-contact Measurement of Human Heart Rate Using Low Cost Video Camera
Sharma, N., Kaman, S., & Mahapatra, P. K. (2019) · International Conference on Image Information Processing (ICIIP) · doi:10.1109/iciip47207.2019.8985746 · Cited by 9
Performance Analysis for Human Crowd Monitoring to Control COVID-19 disease by Drone Surveillance
Conte, C., de Alteriis, G., de Pandi, F., Caputo, E., Moriello, R. S. L., Rufino, G., & Accardo, D. (2021) · IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace) · doi:10.1109/metroaerospace51421.2021.9511671 · Cited by 9
Development of contactless human vital signs monitoring device with remote-photoplethysmography using adaptive region-of-interest and hybrid processing methods
Novita, D., Adikusuma, F. W., Rohadi, N., Wibawa, B. M., Trisanto, A., Defi, I. R., & Fauziah, S. R. (2024) · Intelligence-Based Medicine · doi:10.1016/j.ibmed.2024.100160 · Cited by 7
Robust Pulse Rate Measurements from Facial Videos in Diverse Environments
Park, J., & Hong, K. (2022) · Sensors · doi:10.3390/s22239373 · Cited by 7
Motion magnification algorithms for video-based breathing monitoring
Mattioli, V., Alinovi, D., Ferrari, G., Pisani, F., & Raheli, R. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105148 · Cited by 7
Heart Rate Detection Using SVM Based on Video Imagery
Zeng, W., Sheng, Y., Hu, Q., Huo, Z., Zhang, Y., & Xie, Y. R. (2021) · Intelligent Automation & Soft Computing · doi:10.32604/iasc.2022.017748 · Cited by 7
Motion Resistant Facial Video based Heart Rate Estimation Method using Head-Mounted Camera
Geng, J., Zhang, C., Gao, H., Lv, Y., & Wu, X. (2021) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/ithings-greencom-cpscom-smartdata-cybermatics53846.2021.00047 · Cited by 7
Smartphone movement sensors for the remote monitoring of respiratory rates: Technical validation
Valentine, S., Cunningham, A. C., Klasmer, B., Dabbah, M. A., Balabanović, M., Aral, M., Vahdat, D., & Plans, D. (2022) · Digital Health · doi:10.1177/20552076221089090 · Cited by 7
Remote Photoplethysmography (rPPG) for Contactless Heart Rate Monitoring Using a Single Monochrome and Color Camera
Ma, X., Tobón, D. P., & Saddik, A. E. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-54407-2_21 · Cited by 7
Clothing suggestions based on comfort extracted from physiological and emotional parameters
Chang, H. J., Rakib, M. A. N., Foysal, M. K. H., & Chong, J. W. (2024) · International Journal of Clothing Science and Technology · doi:10.1108/ijcst-10-2022-0141 · Cited by 6
Mindfulness Meditation and Respiration: Accelerometer-based Respiration Rate and Mindfulness Progress Estimation to Enhance App Engagement and Mindfulness Skills
Khan, M. N. H., Creswell, J. D., Albert, J., O'Connell, P., Fallon, S., Polowitz, M., Xu, X., & Islam, B. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749498 · Cited by 6
Facial Video‐Based Robust Measurement of Respiratory Rates in Various Environmental Conditions
Park, J., & Hong, K. (2023) · Journal of Sensors · doi:10.1155/2023/9207750 · Cited by 6
Video-Based Respiration Rate Measurement With Adaptive Filtering and Quality-Guided Pulse Selection
Song, R., Zhao, W., Cheng, J., Li, C., & Yang, X. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3413165 · Cited by 6
KLT Algorithm for Non-contact Heart Rate Detection Based on Image Photoplethysmography
Wang, H., Gao, D., Guo, C. H., Jing, Y., & Wang, M. (2022) · International Conference on Artificial Intelligence and Big Data (ICAIBD) · doi:10.1109/icaibd55127.2022.9820060 · Cited by 6
Remote Respiration Measurement with RGB Cameras: A Review and Benchmark
Boccignone, G., Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Patania, S. (2025) · ACM Computing Surveys · doi:10.1145/3771763 · Cited by 5
Video plethysmography for contactless measurement of respiratory rate in surgical patients
Poorzargar, K., Pham, C., Panesar, D., Riazi, S., Lee, K., Parotto, M., & Chung, F. F. (2023) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-023-01064-8 · Cited by 5
Contactless Monitoring for Healthcare Applications
Nahiyan, K. M. T., & Ahad, M. A. R. (2021) · Intelligent systems reference library · doi:10.1007/978-3-030-75490-7_9 · Cited by 5
Heart Rate Monitoring Using Capacitive Touchscreen Sensing
Kimbahune, S., Shinde, S., Bhavsar, K., Ghose, A., Khandelwal, S., & Pal, A. (2021) · Workshop on Body-Centric Computing Systems (BodySys) · doi:10.1145/3469260.3469667 · Cited by 5
基于成像光电容积描记技术的非接触式生理参数检测及其应用
Lingqin, 孔. K., Yuejin, 赵. Z., Dong, L., Ming, 刘. L., Ge, 徐. X., Mei, 惠. H., & Xuhong, 褚. C. (2023) · Acta Optica Sinica · doi:10.3788/aos230755 · Cited by 5
Facial video photoplethysmography for measuring average and quasi-instantaneous heart rate: a pilot validation study
Pstras, L., Okupnik, T., Ponikowska, B., & Paleczny, B. (2025) · Frontiers in Physiology · doi:10.3389/fphys.2025.1638809 · Cited by 4
Non-Contact Heart Rate and Respiratory Rate Monitoring System using Histogram of Oriented Gradients
Cruz, J. C. D., Pangan, M. J. P. G., & Wong, T. H. D. (2021) · International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) · doi:10.1109/elticom53303.2021.9590137 · Cited by 4
Non-contact Heart Rate Monitoring Using Machine Learning
Varsha., A. V., Markose, C., & Aneesh, R. P. (2019) · International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) · doi:10.1109/icicict46008.2019.8993251 · Cited by 4
Facial Video-Based Respiratory Rate Recognition Interpolating Pulsatile PPG Rise And Fall Times
Fiedler, M.-A., Rapczyński, M., & Al-Hamadi, A. K. (2021) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi48211.2021.9434132 · Cited by 4
Illuminance Color Independent in Remote Photoplethysmography for Pulse Rate Variability and Respiration Rate Measurement
Suryasari, S., Rizal, A., Kusumastuti, S., & Taufiqqurrachman, T. (2023) · JOIV International Journal on Informatics Visualization · doi:10.30630/joiv.7.3.1176 · Cited by 4
Supervised Image Decomposition for Human Heart Rate Measurement Under Low-Light Environments
Wang, H., & Zhang, S. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3355167 · Cited by 4
Non-Contact Measurement of Cardiopulmonary Activity Using Software Defined Radios
Guan, L., Yang, X., Zhao, N., Arslan, M. M., Ullah, M., Ain, Q. U., Shah, A. A., Alomainy, A., & Abbasi, Q. H. (2024) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2024.3434460 · Cited by 3
Validation of a Video-based System to Determine Heart Rate for Stress Monitoring
Ferreira, S., Rodrigues, M. A., & Rocha, N. (2022) · AHFE international · doi:10.54941/ahfe1002621 · Cited by 3
Heart Rate Monitoring With Smartphone Built-In Frontal Digital Camera
Molinaro, N., Schena, E., Silvestri, S., & Massaroni, C. (2022) · IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · doi:10.1109/metroind4.0iot54413.2022.9831498 · Cited by 3
A Machine Learning-Based Non-Contact Respiratory Rate Monitoring Method Using an RGB Camera
Ghodratigohar, M. (2019) · uO Research (University of Ottawa) · doi:10.20381/ruor-23592 · Cited by 3
Smartphone-based measurement of cardiovascular healthcare: Advances and applications
Chen, X., Chen, J., Xu, H., He, T., Fridenfalk, M., & Lv, Z. (2025) · Measurement · doi:10.1016/j.measurement.2025.117347 · Cited by 3
A hybrid CNN-spectral architecture for non-contact respiratory rate estimation using multi-region optical-flow analysis
Srestha, S. D., & Kim, S. (2026) · PLoS ONE · doi:10.1371/journal.pone.0325340 · Cited by 2
Noncontact sensing of heart rate variability from facial video using the topology algorithm
Sakamoto, T., & Nakamura, T. (2022) · IEICE Communications Express · doi:10.1587/comex.2022xbl0004 · Cited by 2
Low-cost magnetic eddy current respiratory monitoring based on fast digital lock-in algorithm combining undersampling and oversampling
Kong, L., Li, G., Wang, Y., & Lin, L. (2023) · Measurement · doi:10.1016/j.measurement.2023.113444 · Cited by 2
Non-contact heart rate measurement using low-cost RGB camera under complex light conditions
Wang, H., & Zhang, S. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-19115-w · Cited by 2
An Efficient Approach to Estimating Heart Rate from Facial Videos with Accurate Region of Interest
Jyostna, J., & Satyanarayana, P. (2024) · International Conference for Innovation in Technology (INOCON) · doi:10.1109/inocon60754.2024.10511840 · Cited by 2
COVID-19 on spot detection as a service (COSDaaS) – A cloud-based pandemic service approach by means of a smart screening device for mass screening to minimize the spread of infection efficiently.
Biswas, H., Sarkar, V., Sarddar, D., & Bandyopadhyay, A. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1797/1/012002 · Cited by 2
Recognition of Stress Activation by Unobtrusive Multi Sensing Setup
Zuccalà, V. C., Favilla, R., & Coppini, G. (2021) · Applied Sciences · doi:10.3390/app11146381 · Cited by 2
Contactless approach for heart rate estimation for QoE assessment
Bonomi, M., Battisti, F., Boato, G., Barreda-Ángeles, M., Carli, M., & Callet, P. L. (2019) · Signal Processing Image Communication · doi:10.1016/j.image.2019.07.004 · Cited by 2
Automatic and Adaptive Signal- and Background-ROIs With Analytic-Representation-Based Processing for Robust Webcam-Based Heart-Rate Estimation
John, J., Krishna, S., & Galigekere, R. R. (2020) · IEEE Access · doi:10.1109/access.2020.2973815 · Cited by 2
Robust and Remote Measurement of Heart Rate Based on A Surveillance CameraPreprint
Yang, Y., Lian, C., Zhang, H., Li, L., & Zhao, Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.13.443967 · Cited by 2
Cross Body Signal Pairing (CBSP): A Key Generation Protocol for Pairing Wearable Devices with Cardiac and Respiratory Sensors
Pourbemany, J., & Zhu, Y. (2023) · Annual Computer Security Applications Conference · doi:10.1145/3627106.3627185 · Cited by 1
Mathematical Modeling and Simulation Experiment of Psychological Factors Affecting Pedestrian Evacuation Efficiency
Zhong, Z., & Zhang, J. (2023) · International Conference on Electronic Information Engineering and Computer Science (EIECS) · doi:10.1109/eiecs59936.2023.10435441 · Cited by 1
Robotic estimation of single scuba diver respiration rate for safety in underwater human-robot collaboration
Kutzke, D. T., Dupati, V., & Sattar, J. (2026) · The International Journal of Robotics Research · doi:10.1177/02783649251411466 · Cited by 1
Heart Rate and Breathing Rate Calculated from Cheeks and Lips Using Green and Derived Colors from Video
Biswal, D., Mollakazemi, M. J., Place, B. C., & Patwardhan, A. R. (2020) · IEEE International Symposium on Smart Electronic Systems (iSES) · doi:10.1109/ises50453.2020.00016 · Cited by 1
Non-contact continuous blood pressure monitoring from video
Liu, H., Kong, L., Liu, H., Wang, Y., Liu, Z., Wang, H., Li, J. K., Dong, L., Liu, M., Chu, X., et al. (2025) · Sixth Symposium on Novel Optoelectronic Detection Technology and Applications · doi:10.1117/12.3056993 · Cited by 1

Authors: Sanyal, S., & Nundy, K. K.
ORCID: Sanyal, Shourjya
Nundy, Koushik Kumar
Venue: IEEE Journal of Translational Engineering in Health and Medicine
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2018
Volume: 6
Pages: 1-11
ISSN: 2168-2372 (ISSN-L)
DOI: 10.1109/jtehm.2018.2818687
PMC: PMC5957265
OpenAlex: W2797516094
Cited by: 125
References: 42
Citations by year: 2026: 8 · 2025: 12 · 2024: 13 · 2023: 16 · 2022: 19 · 2021: 26 · 2020: 16 · 2019: 14 · 2018: 1
FWCI: 5.70
Type: journal article
Language: en
Open access: gold
doi.org
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html (vor)
Locations: IEEE Journal of Translational Engineering in Health and Medicine (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Keywords: photoplethysmography, heart rate monitoring, respiratory rate estimation, facial video, hue, green channel, non-contact vital sign monitoring, telemedicine, neonatal monitoring, elderly patients

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Algorithms for Monitoring Heart Rate and Respiratory Rate From the Video of a User’s Face

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks