CardiacWave: A mmWave-based Scheme of Non-Contact and High-Definition Heart Activity Computing

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474 · see citing works

Long Short-Term Memory

Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318 · see citing works

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 48,293 · see citing works

Classical Electrodynamics

(2020) · Princeton University Press eBooks · doi:10.2307/j.ctv131bv37.5 · Cited by 22,595 · see citing works

No free lunch theorems for optimization

Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237 · see citing works

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014) · arXiv · doi:10.48550/arxiv.1412.3555 · Cited by 11,008 · see citing works

Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

(2012) · Europe PMC (PubMed Central) · Cited by 4,239 · see citing works

The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

Hochreiter, S. (1998) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488598000094 · Cited by 2,939 · see citing works

Untitled work

(2011) · Cited by 1,258 · see citing works

Drug induced QT prolongation and torsades de pointes

Yap, Y. G., & Camm, A. J. (2003) · Heart · doi:10.1136/heart.89.11.1363 · Cited by 958 · see citing works

Wavelet transforms and the ECG: a review

Addison, P. S. (2005) · Physiological Measurement · doi:10.1088/0967-3334/26/5/r01 · Cited by 908 · see citing works

Importance of input data normalization for the application of neural networks to complex industrial problems

Solà, J., & Sevilla, J. (1997) · IEEE Transactions on Nuclear Science · doi:10.1109/23.589532 · Cited by 872 · see citing works

AMON: A Wearable Multiparameter Medical Monitoring and Alert System

Anliker, U., Ward, J. A., Lukowicz, P., Troster, G., Dolveck, F., Baer, M., Keita, F., Schenker, E. B., Catarsi, F., Coluccini, L., et al. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.837888 · Cited by 707 · see citing works

Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging

Sun, Y., & Thakor, N. V. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2476337 · Cited by 567 · see citing works

A Descriptive Algorithm for Sobel Image Edge Detection

Vincent, O. R., & Folorunso, O. O. (2009) · Informing Science and IT Education Conference · doi:10.28945/3351 · Cited by 535 · see citing works

PDE-Net: Learning PDEs from DataPreprint

Long, Z., Lu, Y., Ma, X., & Dong, B. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1710.09668 · Cited by 507 · see citing works

Classical Electrodynamics

Niel, F. (2021) · Springer theses · doi:10.1007/978-3-030-73547-0_2 · Cited by 446 · see citing works

Heart rate variability in type 2 diabetes mellitus: A systematic review and meta–analysis

Benichou, T., Pereira, B., Mermillod, M., Tauveron, I., Pfabigan, D., Maqdasy, S., & Dutheil, F. (2018) · PLOS ONE · doi:10.1371/journal.pone.0195166 · Cited by 419 · see citing works

The weighted diagnostic distortion (WDD) measure for ECG signal compression

Zigei, Y., Cohen, A., & Katz, A. (2000) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2000.880093 · Cited by 406 · see citing works

Emotion recognition using wireless signals

Zhao, M., Adib, F., & Katabi, D. (2016) · Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking · doi:10.1145/2973750.2973762 · Cited by 370 · see citing works

PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices

Wang, X., Yang, C., & Mao, S. (2017) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2017.206 · Cited by 369 · see citing works

Error sources and feasibility for microwave remote sensing of ocean surface salinity

Yueh, S. H., West, R. D., Wilson, W. J., Li, F. K., Njoku, E. G., & Rahmat‐Samii, Y. (2001) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.921423 · Cited by 245 · see citing works

Naming of the Waves in the ECG, With a Brief Account of Their Genesis

Hurst, J. W. (1998) · Circulation · doi:10.1161/01.cir.98.18.1937 · Cited by 221 · see citing works

Contactless seismocardiography via deep learning radars

Ha, U., Assana, S., & Adib, F. (2020) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3372224.3419982 · Cited by 203 · see citing works

Monitoring vital signs using millimeter wave

Yang, Z., Pathak, P. H., Zeng, Y., Liran, X., & Mohapatra, P. (2016) · ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) · doi:10.1145/2942358.2942381 · Cited by 189 · see citing works

Cardiac Scan

Lin, F., Song, C., Zhuang, Y., Xu, W., Li, C., & Ren, K. (2017) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3117811.3117839 · Cited by 180 · see citing works

Clinical Electrocardiography.

(1957) · Annals of Internal Medicine · doi:10.7326/0003-4819-47-6-1287 · Cited by 165 · see citing works

Quality Assessment of ECG Compression Techniques Using a Wavelet-Based Diagnostic Measure

Al-Fahoum, A. S. (2006) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2005.855554 · Cited by 158 · see citing works

Wavelet energy based diagnostic distortion measure for ECG

Manikandan, M. S., & Dandapat, S. (2007) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.05.001 · Cited by 157 · see citing works

A Neyman–Pearson Approach to Statistical Learning

Scott, C. D., & Nowak, R. D. (2005) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.856955 · Cited by 151 · see citing works

Markov models for ion channels: versatility versus identifiability and speed

Fink, M., & Noble, D. (2009) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2008.0301 · Cited by 145 · see citing works

Highly wearable cuff-less blood pressure and heart rate monitoring with single-arm electrocardiogram and photoplethysmogram signals

Zhang, Q., Zhou, D., & Zeng, X. (2017) · BioMedical Engineering OnLine · doi:10.1186/s12938-017-0317-z · Cited by 132 · see citing works

Cardiac Electromechanical Models: From Cell to Organ

Trayanova, N. A., & Rice, J. J. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00043 · Cited by 124 · see citing works

Assessing Autonomic Function from Electrodermal Activity and Heart Rate Variability During Cold-Pressor Test and Emotional Challenge

Ghiasi, S., Greco, A., Barbieri, R., Scilingo, E., & Valenza, G. (2020) · Scientific Reports · doi:10.1038/s41598-020-62225-2 · Cited by 121 · see citing works

Ray-Tracing-Based mm-Wave Beamforming Assessment

Degli‐Esposti, V., Fuschini, F., Vitucci, E. M., Barbiroli, M., Zoli, M., Tian, L., Yin, X., Dupleich, D. A., Müller, R., Schneider, C., et al. (2014) · IEEE Access · doi:10.1109/access.2014.2365991 · Cited by 118 · see citing works

Definition of Fiducial Points in the Normal Seismocardiogram

Sørensen, K., Schmidt, S. E., Jensen, A. S., Søgaard, P., & Struijk, J. J. (2018) · Scientific Reports · doi:10.1038/s41598-018-33675-6 · Cited by 111 · see citing works

Faraday effect in standard optical fibers: dispersion of the effective Verdet constant

Cruz, J. L., Andrés, M. V., & Hernandez, M. A. (1996) · Applied Optics · doi:10.1364/ao.35.000922 · Cited by 106 · see citing works

VocalPrint

Li, H., Xu, C., Rathore, A. S., Li, Z., Zhang, H., Song, C. L., Wang, K., Su, L., Lin, F., Ren, K., et al. (2020) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3384419.3430779 · Cited by 85 · see citing works

Constant-False-Alarm-Rate Signal Processors for Several Types of Interference

Nitzberg, R. (1972) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.1972.309463 · Cited by 82 · see citing works

A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression

Němcová, A., Smíšek, R., Maršánová, L., Smital, L., & Vítek, M. (2018) · BioMed Research International · doi:10.1155/2018/1868519 · Cited by 71 · see citing works

Mechanisms of beta-adrenergic stimulation of cardiac Ca2+ channels revealed by discrete-time Markov analysis of slow gating

Herzig, S., Patil, P., Neumann, J., Staschen, C., & Yue, D. T. (1993) · Biophysical Journal · doi:10.1016/s0006-3495(93)81199-8 · Cited by 65 · see citing works

Evaluation Bias and its Control*

Scriven, M. (2011) · Journal of MultiDisciplinary Evaluation · doi:10.56645/jmde.v7i15.299 · Cited by 63 · see citing works

Heart Action Potential: Dependence on External Calcium and Sodium Ions

Orkand, R. K., & Niedergerke, R. (1964) · Science · doi:10.1126/science.146.3648.1176 · Cited by 57 · see citing works

VitaMon

Huynh, S., Balan, R. K., Ko, J., & Lee, Y. (2019) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3356250.3360036 · Cited by 51 · see citing works

ACTION OF NICOTINE ON THE HEART

Burn, J. H. (1960) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1960.tb32618.x · Cited by 50 · see citing works

Analysis of a finite element method--PDE/PROTRAN

Sewell, G. (1985) · CERN Document Server (European Organization for Nuclear Research) · doi:10.1007/978-1-4684-6331-6 · Cited by 46 · see citing works

CRH: A Contactless Respiration and Heartbeat Monitoring System with COTS RFID Tags

Zhao, R., Wang, D., Zhang, Q., Chen, H., & Huang, A. (2018) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/sahcn.2018.8397132 · Cited by 46 · see citing works

Frequency-dependent polarizabilities and Verdet constants for He, Be, CO, and FH

rgensen, P. J., Oddershede, J., Albertsen, P., & Beebe, N. H. F. (1978) · The Journal of Chemical Physics · doi:10.1063/1.436112 · Cited by 44 · see citing works

PhotoECG: Photoplethysmographyto estimate ECG parameters

Banerjee, R., Sinha, A., Choudhury, A. D., & Visvanathan, A. (2014) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2014.6854434 · Cited by 44 · see citing works

Second Hand Smoke

Rosenbaum, T. (1999) · Cited by 40 · see citing works

Simulation of cardiac activity and the ECG using a heart model with a reaction-diffusion action potential

Berenfeld, O., & Abboud, S. (1996) · Medical Engineering & Physics · doi:10.1016/s1350-4533(96)00028-8 · Cited by 34 · see citing works

The ECG in practice

Hampton, J. (1986) · Cited by 33 · see citing works

Spontaneous coronary artery dissection after intense weightlifting UCSF fresno department of cardiology

El‐Sherief, K., Rashidian, A., & Srikanth, S. (2011) · Catheterization and Cardiovascular Interventions · doi:10.1002/ccd.22904 · Cited by 28 · see citing works

Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise

Jarchi, D., & Casson, A. J. (2016) · doi:10.1109/embc.2016.7591398 · Cited by 28 · see citing works

A mm-wave four-port quasi-optical circulator

Webb, M. R. (1991) · International Journal of Infrared and Millimeter Waves · doi:10.1007/bf01041882 · Cited by 25 · see citing works

Modeling left and right atrial contributions to the ECG: A dipole-current source approach

Jacquemet, V. (2015) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2015.06.007 · Cited by 24 · see citing works

A wearable 1-lead necklace ECG for continuous heart rate monitoring

Iskandar, A. A., Kolla, R., Schilling, K., & Voelker, W. (2016) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2016.7749480 · Cited by 17 · see citing works

Quantification of Diagnostic Information from Electrocardiogram Signal: A Review

Dandapat, S., Sharma, L. N., & Tripathy, R. K. (2015) · Lecture notes in electrical engineering · doi:10.1007/978-81-322-2464-8_2 · Cited by 15 · see citing works

A diagnostic meaningful distortion measure for ECG compression

Zigel, Y., Cohen, A. D., & Katz, A. (2002) · IEEE Convention of Electrical and Electronics Engineers in Israel · doi:10.1109/eeis.1996.566907 · Cited by 12 · see citing works

Advances in Communication and Computing

Bora, P. K., Prasanna, S. R. M., Sarma, K. K., & Saikia, N. (2015) · Lecture notes in electrical engineering · doi:10.1007/978-81-322-2464-8 · Cited by 10 · see citing works

Electrodermal Activity, Respiratory Sinus Arrhythmia, and Heart Rate Variability in a Relationship Enrichment Program

Lampinen, E., Karolaakso, T., Tourunen, A., Kaartinen, J., Kykyri, V., Seikkula, J., & Penttonen, M. (2017) · Mindfulness · doi:10.1007/s12671-017-0843-6 · Cited by 9 · see citing works

Real-time implementation of a chest-worn accelerometer based heart monitoring system

Bryant, D., Ravindran, S., Magotra, N., & Northrup, S. G. (2010) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2010.5548828 · Cited by 7 · see citing works

Laser-based remote measurement of vital parameters of the heart

Luik, A., & Kroschel, K. (2018) · doi:10.1117/12.2303807 · Cited by 5 · see citing works

Non-contact PPG measurement system incorporating image analyzed photoplethysmogram signals and deep learning algorithms

Hsu, Y.-J., Wang, C.-H., Lee, S.-S., Wu, W.-J., & Lee, C. (2020) · Biophotonics in Point-of-Care · doi:10.1117/12.2555338 · Cited by 4 · see citing works

Theory of Biomagnetic Measurements

Malmivuo, J. A. (1995) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195058239.003.0012 · Cited by 1 · see citing works

A Survey of mmWave-Based Human Sensing: Technology, Platforms and Applications

Zhang, J., Xi, R., He, Y., Sun, Y., Guo, X., Wang, W., Na, X., Liu, Y., Shi, Z., & Gu, T. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3298300 · Cited by 205 · see citing works

mmSpy: Spying Phone Calls using mmWave Radars

Basak, S., & Gowda, M. (2022) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp46214.2022.9833568 · Cited by 55 · see citing works

An Overview of Algorithms for Contactless Cardiac Feature Extraction From Radar Signals: Advances and Challenges

Zhang, Y., Yang, R., Yue, Y., Lim, E. G., & Wang, Z. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3300471 · Cited by 55 · see citing works

Non-intrusive Human Vital Sign Detection Using mmWave Sensing Technologies: A Review

Wu, Y., Ni, H., Mao, C., Han, J., & Xu, W. (2023) · ACM Transactions on Sensor Networks · doi:10.1145/3627161 · Cited by 51 · see citing works

Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Boiko, A., Madrid, N. M., & Seepold, R. (2023) · Sensors · doi:10.3390/s23115038 · Cited by 41 · see citing works

Contactless Arterial Blood Pressure Waveform Monitoring with mmWave Radar

Hu, Q., Zhang, Q., Lü, H., Wu, S., Zhou, Y., Huang, Q., Chen, H., Chen, Y.-C., & Zhao, N. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3699781 · Cited by 32 · see citing works

Human-centred artificial intelligence for mobile health sensing: challenges and opportunities

Dang, T., Spathis, D., Ghosh, A., & Mascolo, C. (2023) · Royal Society Open Science · doi:10.1098/rsos.230806 · Cited by 30 · see citing works

radarODE: An ODE-Embedded Deep Learning Model for Contactless ECG Reconstruction From Millimeter-Wave Radar

Zhang, Y., Guan, R., Li, L., Yang, R., Yue, Y., & Lim, E. G. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3563945 · Cited by 27 · see citing works

FMCW-based contactless heart rate monitoring

Hao, Z., Gao, Y., Tang, Y., Wang, Y., Fan, K., & Li, F. (2025) · Scientific Reports · doi:10.1038/s41598-025-86438-5 · Cited by 26 · see citing works

FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors

Zhang, T., Ye, Z., Mahdad, A. T., Akanda, M. M. R. R., Shi, C., Wang, Y., Saxena, N., & Chen, Y. J. (2023) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/3576915.3623102 · Cited by 26 · see citing works

mmStress

Liang, K., Zhou, A., Zhang, Z., Zhou, H., Ma, H., & Wu, C. (2023) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3610926 · Cited by 25 · see citing works

Diversity-Enhanced Robust Device-Free Vital Signs Monitoring Using mmWave Signals

Liu, J., Wang, J., Gao, Q., Li, X., Pan, M., & Fang, Y. M. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3419005 · Cited by 22 · see citing works

Graph-Based Denoising for Respiration and Heart Rate Estimation During Sleep in Thermal Video

Yang, C., Hu, M., Zhai, G., & Zhang, X.-P. S. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3150147 · Cited by 18 · see citing works

Machine Learning in RADAR-Based Physiological Signals Sensing: A Scoping Review of the Models, Datasets, and Metrics

Nocera, A., Senigagliesi, L., Raimondi, M., Ciattaglia, G., & Gambi, E. (2024) · IEEE Access · doi:10.1109/access.2024.3482690 · Cited by 15 · see citing works

Beamforming for Sensing: Hybrid Beamforming based on Transmitter-Receiver Collaboration for Millimeter-Wave Sensing

Fan, L., Xie, L., Zhou, W., Wang, C., Bu, Y., & Lu, S. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3659619 · Cited by 13 · see citing works

mm-HrtEMO: Non-Invasive Emotion Recognition via Heart Rate Using mm-Wave Sensing in Diverse Scenarios

Imran, N., Zhang, J., Ali, J., Hameed, S., Younas, M. B., Hanif, D., Alenazi, M. J. F., & Niaz, F. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3522316 · Cited by 13 · see citing works

mmHSV: In-Air Handwritten Signature Verification via Millimeter-Wave Radar

Li, W., He, T., Jing, N., & Wang, L. (2023) · ACM Transactions on Internet of Things · doi:10.1145/3614443 · Cited by 12 · see citing works

Mmtaster: A Mobile System for Fine-Grained and Robust Alcohol Sensing

Liang, Y., Shi, P., Zheng, Z., Pu, L., Zhou, A., & Ma, H. (2023) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2023.3339141 · Cited by 12 · see citing works

PRISM: Pre-training RF Signals in Sparsity-aware Masked Autoencoders

Fang, L., Song, R., Lu, Z. P., Zhang, D., Hu, Y., Sun, Q., & Chen, Y. (2024) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom52122.2024.10621246 · Cited by 12 · see citing works

MHTrack: mmWave-Based Mobile Hand Tracking

Liu, X., Liu, H., Han, Y., Xie, X. N., Tong, X., & Li, K. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3560074 · Cited by 11 · see citing works

Hearing Heartbeat from Voice

Xu, C., Chen, T., Li, H., Gherardi, A., Weng, M., Li, Z., & Xu, W. (2022) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3560905.3568508 · Cited by 10 · see citing works

A Cross-Modal Autoencoder for Contactless Electrocardiography Monitoring Using Frequency-Modulated Continuous Wave Radar

Liu, K.-C., Peng, S.-Y., Tsao, Y., Liu, C.-Y., Chen, Z.-A., Han, Z., Chen, W.-C., Hsieh, P.-Q., Li, Y.-J., Hsu, Y.-J., et al. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3486154 · Cited by 8 · see citing works

WiCG: In-Body Cardiac Motion Sensing Based on a Mix-Medium Wi-Fi Fresnel Zone Model

Wang, P., Yu, A., Ma, X., Zheng, R., Dong, J., Chang, Z., Zhang, D., Zeghlache, D., & Zhang, D. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3564843 · Cited by 10 · see citing works

Contactless GSR Sensing Using mmWave Radar

Xu, X., Zhang, D., Chen, J., Wu, Z., Sun, Q., & Chen, Y. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3220419 · Cited by 10 · see citing works

Walking Pattern Identification of FMCW Radar Data based on a Combined CNN and bi-LSTM Approach

Nocera, A., Senigagliesi, L., Ciattaglia, G., & Gambi, E. (2023) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms58004.2023.00230 · Cited by 8 · see citing works

Remote Vital Sign Monitoring Based Millimeter-Wave Sensing

Zhao, X., Zhang, D., Yin, H., Mao, D., & Li, H. (2024) · IEEE Access · doi:10.1109/access.2024.3470028 · Cited by 8 · see citing works

Facial Landmark Detection Based on High Precision Spatial Sampling via Millimeter-wave Radar

Li, Y., Wang, C., Xie, L., Jin, Q., Fan, L., Ning, J., & Lu, S. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3699739 · Cited by 7 · see citing works

mmCG: Noncontact Millimeter-Wave Cardiography for Heart Rate Variability Monitoring

Zhao, L., Lyu, R., Zhou, A., Guo, Q., & Ma, H. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3573511 · Cited by 5 · see citing works

mmLock: User Leaving Detection Against Data Theft via High-Quality mmWave Radar Imaging

Xu, J., Bi, Z., Singha, A., Li, T., Chen, Y., & Zhang, Y. (2023) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn58024.2023.10230151 · Cited by 5 · see citing works

State-of-the-Art Technologies and Emerging Trends in Radar-Based Vital Signs Sensing: A Review

Yuan, T., Kuo, Y., Ren, A., Huo, R., Sun, Q., & Zahid, A. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3646149 · Cited by 4 · see citing works

mmFinger: Talk to Smart Devices With Finger Tapping Gesture

Wang, X., Zhao, X., Feng, C., Fang, D., & Chen, X. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3515044 · Cited by 3 · see citing works

Non-Contact Reconstruction of ECG Signals Using FMCW Radar and SS-S2SA Network

Cui, R., Cui, W., Cai, Y., & Yu, Y. (2024) · IEICE Transactions on Communications · doi:10.23919/transcom.2024ebp3061 · Cited by 2 · see citing works

Translation of Radar Signals into Latent Cardiac Event Space for Scalable, Annotation-free Heart Disease Diagnosis

Yue, A.-X., Lu, Z., Hu, Y., Cao, Z., & Chen, Y. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3770693 · Cited by 3 · see citing works

ECG-grained Cardiac Monitoring Using RFID

Wang, N., Zhao, T., Mao, S., Bai, H. X., Jiao, Z., & Wang, X. (2024) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn61486.2024.10637648 · Cited by 2 · see citing works

Seismocardiography-Inspired Heart Activity Monitoring Using FMCW Radar

Brahim, W., Ma, J., Ma, M., Luo, Y., Qi, A., & Qi, Y. (2024) · IEEE Conference on Pervasive and Intelligent Computing (PICom) · doi:10.1109/picom64201.2024.00007 · Cited by 2 · see citing works

Human Respiration and Heart Rate Estimation Using Wi-Fi Channel State Information and Machine Learning

Sazid, E. A., Asaduzzaman, A., & Chowdhury, M. (2024) · International Conference on Sustainable Technologies for Industry 5.0 (STI) · doi:10.1109/sti64222.2024.10951095 · Cited by 2 · see citing works

EEMD-MICA Based Heart Rate Extraction Algorithm for Radar Signals

Fu, Y., Sun, L., Guo, J. B., Han, C., & Wang, S. (2023) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc58219.2023.10327001 · Cited by 2 · see citing works

An IoT System for Continuous Fall Risk Screening at Home with Millimetre-Wave Radar

Doğu, E., Jones, J. M., Alomainy, A., & Rajab, K. Z. (2025) · Studies in computational intelligence · doi:10.1007/978-3-031-82427-2_21 · Cited by 1 · see citing works

ReBP: Short-Term Blood Pressure Estimation by Reconstructing PPG Signals Based on mmWave Radar

Ma, J., Wang, Y., Bai, W., Han, C., & Sheng, B. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3576133 · Cited by 1 · see citing works

Dual-Modality Electromechanical Physiology Source Mapping

Lu, G., Chen, K., Wang, Q., & Cai, X. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3382347 · Cited by 1 · see citing works

Radar HRV Monitoring With Physiological Prior Inspired Deep Neural Networks

Wang, H., Chen, J., Zhang, D., Lu, Z. P., Hu, Y., Sun, Q., & Chen, Y. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3628628 · Cited by 1 · see citing works

Extracting Cardiovascular-Induced Chest Vibrations from Ordinary Chest Videos: A Comparative Study

Rahman, M. A., & Taebi, A. (2024) · IEEE Signal Processing in Medicine and Biology Symposium · doi:10.1109/spmb62441.2024.10842229

VibECG: Non-contact Electrocardiogram Monitoring Based on mmWave Sensing

Lin, Q., Zhao, L., Zhou, A., & Ma, H. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-2186-6_18

The Internet of Senses for Healthcare 5.0: Enabling Technologies, Opportunities, and Challenges

Falk, T. H. (2025) · Springer eBooks · doi:10.1007/978-981-96-1437-0_2

Mobi 2 Still: People Detection and Tracking With Mobile Human-Equipped mmWave Radars

Li, Y., Xu, D., Liang, K., Zeng, H., Xu, L., Ma, H., & Zhou, A. (2026) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2026.3656239

EarPCG: Recovering Heart Sounds from in-Ear Audio via Physics-Informed Neural Network

Zhou, J., Zhang, Y., Pu, H., Guo, P., Zheng, T., Cai, C., & Luo, J. (2026) · doi:10.1145/3774906.3800491

Med2ECG: Medical-Guided BCG-To-ECG Reconstruction for Diverse Populations

Chen, L., Huang, Y., Li, C., Chen, J., Zhong, S., Qiu, M., Guo, C., Wang, Y., Zhang, Q., & Wu, K. (2026) · doi:10.1145/3774906.3800463

RaECG: mmWave Radar-based Electrocardiogram Monitoring Using Chest Vibration and Carotid Pulse

Qiu, J., Jiang, M., Chi, K., LIU, J., & Dai, G. (2026) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom59046.2026.11571601

A systematic review of non-contact medical IoT systems for physiological biomarker monitoring

Banik, B., Ghose, S., Nahiun, A. H., Lin, Y., Shalaginov, A., & Ghose, D. (2026) · Frontiers in Medical Technology · doi:10.3389/fmedt.2026.1917332

MmWave Radar-Based Cardiac Amplitude Detection for Non-Contact Heart Monitoring

Wang, C.-H., Huang, Z.-J., & Yang, X. S. (2026) · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) · doi:10.1109/icce-taiwan71481.2026.11652485

From Radar Cardiography to Electrocardiograms: Conditional Diffusion Model Enabled Contactless ECG Monitoring Using mmWave Radar

Zhang, H., Li, P., Qian, L., Shi, Z., & Wu, Y. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3672898

VibECG: Non-contact Electrocardiogram Monitoring Based on mmWave Sensing

Lin, Q., Zhao, L., Zhou, A., & Ma, H. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-2186-6_18

WiCG: In-Body Cardiac Motion Sensing Based on a Mix-Medium Wi-Fi Fresnel Zone Model

Wang, P., Yu, A., Ma, X., Zheng, R., Dong, J., Chang, Z., Zhang, D., Zeghlache, D., & Zhang, D. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3564843 · Cited by 10 · see citing works

CUHeart: ECG-Grained Unobtrusive mmWave Cardiac Monitoring for Unconstrained Scenarios

Li, M., Ru, Y., Wang, Y., Liu, Y., Xu, Y., & Sun, Z. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3611462 · Cited by 2 · see citing works