A Real-Time QRS Detection Algorithm

Software QRS detection in ambulatory monitoring — a review

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Optimal QRS detector

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Automated High-Speed Analysis of Holter Tapes with Microcomputers

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Online digital filters for biological signals: some fast designs for a small computer

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A robust-digital QRS-detection algorithm for arrhythmia monitoring

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A Digital QRS Detector Based on the Principle of Contour Limiting

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Design, implementation and evaluation of amicrocomputer-based portable arrhythmia monitor

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Kubios HRV–heart rate variability analysis software.

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First person experience of body transfer in virtual reality

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Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice

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Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care

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AMON: A Wearable Multiparameter Medical Monitoring and Alert System

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Ecg pattern analysis for emotion detection

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Characterizing sleep spindles in 11,630 individuals from the National Sleep Research Resource

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Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): Recommendations to advance research communication

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An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram

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Validity of the Polar H10 Sensor for Heart Rate Variability Analysis during Resting State and Incremental Exercise in Recreational Men and Women

Schaffarczyk, M., Rogers, B., Reer, R., & Gronwald, T. (2022) · Sensors · doi:10.3390/s22176536 · Cited by 349 · see citing works

Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity

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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

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Activity-Aware Mental Stress Detection Using Physiological Sensors

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HeartPy: A novel heart rate algorithm for the analysis of noisy signals

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Gaussian process robust regression for noisy heart rate data

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Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data

Ringeval, F., Eyben, F., Kroupi, E., Yuce, A., Thiran, J.-P., Ebrahimi, T., Lalanne, D., & Schuller, B. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2014.11.007 · Cited by 202 · see citing works

A Systematic Review of Detecting Sleep Apnea Using Deep Learning

Mostafa, S. S., Mendonça, F., G. Ravelo-García, A., & Morgado-Dias, F. (2019) · Sensors · doi:10.3390/s19224934 · Cited by 182 · see citing works

Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG

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Interoception and gender: What aspects should we pay attention to?

Grabauskaitė, A., Baranauskas, M., & Griškova-Bulanova, I. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2016.11.002 · Cited by 167 · see citing works

Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis

Cao, R., Azimi, I., Sarhaddi, F., Niela-Vilen, H., Axelin, A., Liljeberg, P., & Rahmani, A. M. (2022) · Journal of Medical Internet Research · doi:10.2196/27487 · Cited by 159 · see citing works

Motion artifact reduction in wearable photoplethysmography based on multi-channel sensors with multiple wavelengths.

Lee, J., Kim, M., Park, H.-K., & Kim, I. Y. (2020) · Sensors · doi:10.3390/s20051493 · Cited by 153 · see citing works

Functional autonomic nervous system profile in children with autism spectrum disorder

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Effect of combined movement and heart rate monitor placement on physical activity estimates during treadmill locomotion and free-living

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Futuristic biosensors for cardiac health care: an artificial intelligence approach

Vashistha, R., Dangi, A. K., Kumar, A., Chhabra, D., & Shukla, P. (2018) · 3 Biotech · doi:10.1007/s13205-018-1368-y · Cited by 113 · see citing works

Mechanically Flexible Wireless Multisensor Platform for Human Physical Activity and Vitals Monitoring

Chuo, Y., Marzencki, M., Hung, B., Jaggernauth, C., Tavakolian, K., Lin, P., & Kaminska, B. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2052616 · Cited by 102 · see citing works

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems

Sopic, D., Aminifar, A., Aminifar, A., & Atienza, D. (2018) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2018.2848477 · Cited by 97 · see citing works

I keep a close watch on this heart of mine: increased interoception in insomnia

Wei, Y., Ramautar, J. R., Colombo, M. A., Stoffers, D., Gómez-Herrero, G., van der Meijden, W. P., te Lindert, B. H. W., van der Werf, Y. D., & Van Someren, E. J. W. (2016) · Sleep · doi:10.5665/sleep.6308 · Cited by 90 · see citing works

A careful look at ECG sampling frequency and R-peak interpolation on short-term measures of heart rate variability.

Ellis, R. J., Zhu, B., Koenig, J., Thayer, J. F., & Wang, Y. (2015) · Physiological Measurement · doi:10.1088/0967-3334/36/9/1827 · Cited by 85 · see citing works

An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure

Beach, C., Krachunov, S., Pope, J., Fafoutis, X., Piechocki, R. J., Craddock, I., & Casson, A. J. (2018) · IEEE Access · doi:10.1109/access.2018.2864675 · Cited by 91 · see citing works

The Moderating Effect of Success Importance on the Relationship Between Listening Demand and Listening Effort

Richter, M. (2016) · Ear & Hearing · doi:10.1097/aud.0000000000000295 · Cited by 84 · see citing works

Reduction of autonomic regulation in children and adolescents with conversion disorders

Kozlowska, K., Palmer, D. M., Brown, K. J., McLean, L., Scher, S., Gevirtz, R., Chudleigh, C., & Williams, L. M. (2015) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000184 · Cited by 82 · see citing works

Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVET and Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram

Klum, M., Urban, M., Tigges, T., Pielmus, A.-G., Feldheiser, A., Schmitt, T., & Orglmeister, R. (2020) · Sensors · doi:10.3390/s20072033 · Cited by 75 · see citing works

Sustained attention and heart rate variability in children and adolescents with ADHD

Griffiths, K. R., Quintana, D. S., Hermens, D. F., Spooner, C., Tsang, T. W., Clarke, S., & Kohn, M. R. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.01.004 · Cited by 79 · see citing works

Self-compassion Modulates Heart Rate Variability and Negative Affect to Experimentally Induced Stress

Luo, X., Qiao, L., & Che, X. (2018) · Mindfulness · doi:10.1007/s12671-018-0900-9 · Cited by 77 · see citing works

micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers

King, Z. D., Moskowitz, J., Egilmez, B., Zhang, S., Zhang, L., Bass, M., Rogers, J., Ghaffari, R., Wakschlag, L., & Alshurafa, N. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3351249 · Cited by 73 · see citing works

Interpersonal distance during real-time social interaction: insights from subjective experience, behavior, and physiology

Kroczek, L. O. H., Pfaller, M., Lange, B., Müller, M., & Mühlberger, A. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00561 · Cited by 67 · see citing works

Comparative analysis of emotion estimation methods based on physiological measurements for real-time applications

Kukolja, D., Popović, S., Horvat, M., Kovač, B., & Ćosić, K. (2014) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2014.05.006 · Cited by 66 · see citing works

Physiological synchrony in EEG, electrodermal activity and heart rate reflects shared selective auditory attention

Stuldreher, I. V., Thammasan, N., van Erp, J. B. F., & Brouwer, A.-M. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/aba87d · Cited by 58 · see citing works

Postural Tachycardia Syndrome and Inappropriate Sinus Tachycardia: Role of Autonomic Modulation and Sinus Node Automaticity

Nwazue, V. C., Paranjape, S. Y., Black, B. K., Biaggioni, I., Diedrich, A., Dupont, W. D., Robertson, D., & Raj, S. R. (2014) · Journal of the American Heart Association · doi:10.1161/jaha.113.000700 · Cited by 53 · see citing works

Influence of Artefact Correction and Recording Device Type on the Practical Application of a Non-Linear Heart Rate Variability Biomarker for Aerobic Threshold Determination

Rogers, B., Giles, D., Draper, N., Mourot, L., & Gronwald, T. (2021) · Sensors · doi:10.3390/s21030821 · Cited by 54 · see citing works

Brain responses and self-reported indices of interoception: heartbeat evoked potentials are inversely associated with worrying about body sensations

Baranauskas, M., Grabauskaitė, A., & Griškova-Bulanova, I. (2017) · Physiology & Behavior · doi:10.1016/j.physbeh.2017.07.032 · Cited by 46 · see citing works

From the inside out: Interoceptive feedback facilitates the integration of visceral signals for efficient sensory processing

Marshall, A. C., Gentsch-Ebrahimzadeh, A., & Schütz-Bosbach, S. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119011 · Cited by 36 · see citing works

A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss

Wang, T., Lu, C., Yang, M., Hong, F., & Liu, C. (2020) · PeerJ Computer Science · doi:10.7717/peerj-cs.324 · Cited by 37 · see citing works

Probiotic mixture containing lactobacillus helveticus, bifidobacterium longum and lactiplantibacillus plantarum affects brain responses to an arithmetic stress task in healthy subjects: a randomised clinical trial and proof-of-Concept study

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Emotion assessment using Machine Learning and low-cost wearable devices

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Radial basis function neural network for prediction of cardiac arrhythmias based on heart rate time series

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Error-related cardiac response as information for visibility judgements

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Privacy-Preserving Electrocardiogram Monitoring for Intelligent Arrhythmia Detection

Son, J., Park, J., Oh, H., Bhuiyan, M., Hur, J., & Kang, K. (2017) · Sensors · doi:10.3390/s17061360 · Cited by 25 · see citing works

Cardiovascular autonomic adaptation in lunar and martian gravity during parabolic flight

Widjaja, D., Vandeput, S., Van Huffel, S., & Aubert, A. E. (2015) · European Journal of Applied Physiology · doi:10.1007/s00421-015-3118-8 · Cited by 24 · see citing works

Analysis of multimodal physiological signals within and between individuals to predict psychological challenge vs. threat

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Arrhythmia Detection - A Machine Learning based Comparative Analysis with MIT-BIH ECG Data

Singh, V., Tewary, S., Sardana, V., & Sardana, H. K. (2019) · 2019 IEEE 5th International Conference for Convergence in Technology (I2CT) · doi:10.1109/i2ct45611.2019.9033665 · Cited by 24 · see citing works

Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG Sensor

Glasstetter, M., Böttcher, S., Zabler, N., Epitashvili, N., Dümpelmann, M., Richardson, M. P., & Schulze-Bonhage, A. (2021) · Sensors · doi:10.3390/s21186017 · Cited by 21 · see citing works

Extraction and Analysis of features acquired by wearable sensors network

Bellos, C. C., Papadopoulos, A., Rosso, R., & Fotiadis, D. I. (2010) · Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine · doi:10.1109/itab.2010.5687761 · Cited by 21 · see citing works

Heart-rate tuned comb filters for processing photoplethysmogram (PPG) signals in pulse oximetry

Alkhoury, L., Choi, J.-W., Wang, C., Rajasekar, A., Acharya, S., Mahoney, S., Shender, B. S., Hrebien, L., & Kam, M. (2021) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-020-00539-2 · Cited by 15 · see citing works

Non-Linear Analysis of Heart Rate Variability for Evaluating the Acute Effects of Caffeinated Beverages in Young Adults

Caliskan, S. G., & Bilgin, M. D. (2020) · Cardiology in the Young · doi:10.1017/s1047951120001481 · Cited by 10 · see citing works

Energy-Efficient ECG Signal Compression for User Data Input in Cyber-Physical Systems by Leveraging Empirical Mode Decomposition

Huang, H., Hu, S., & Sun, Y. (2019) · ACM Transactions on Cyber-Physical Systems · doi:10.1145/3341559 · Cited by 10 · see citing works

Automated magnetocardiography classification using a deformable convolutional block attention module

Wang, R., Pang, J., Han, X., Xiang, M., & Ning, X. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.107602 · Cited by 9 · see citing works

Soft imperceptible wearable electronics for at-home cardiovascular monitoring of infants with single ventricle heart disease

Zhou, L., Aljiffry, A., Lee, Y. J., Matthews, J., Seitter, B., Soltis, I., Huang, Y., Maher, K., & Yeo, W.-H. (2025) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2025.117372 · Cited by 9 · see citing works

Real-Time Quality Index to Control Data Loss in Real-Life Cardiac Monitoring Applications

Vila, G., Godin, C., Charbonnier, S., & Campagne, A. (2021) · Sensors · doi:10.3390/s21165357 · Cited by 8 · see citing works

Fixed complexity tiny reservoir heterogeneous network for on-line ECG learning of anomalies

Abdennadher, N., Pau, D., & Bruna, A. (2021) · 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) · doi:10.1109/gcce53005.2021.9622022 · Cited by 9 · see citing works

Development of deep-learning models for a hybrid simulation of auscultation training on standard patients using an ECG-based virtual pathology stethoscope

Yhdego, H., Kidane, N., Mckenzie, F., & Audette, M. (2023) · SIMULATION · doi:10.1177/00375497231165049 · Cited by 6 · see citing works

Examining Joy of Use and Usability During Mobile Phone Interactions within a Multimodal Methods Approach

Lingelbach, K., Tagalidou, N., Markey, P. S., Föll, B., Peissner, M., & Vukelić, M. (2022) · Mensch und Computer 2022 · doi:10.1145/3543758.3543771 · Cited by 2 · see citing works

Soft, all-in-one, nanomembrane wearable system for advancing neonatal health monitoring in Ethiopia

Zhou, L., Joseph, M., Lee, Y. J., Yadav, D., Nayak, L., Woodall, J., Matthews, J., Soltis, I., Mekuria, F. M., Yeshanew, K. H., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01974-8 · Cited by 3 · see citing works

DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION

Mustafa, N. H., Kelesbayev, D., & Alibekova, Z. D. (2018) · The Journal of Economic Research & Business Administration · doi:10.26577/be-2018-2-2141

A transparent overlay for assessing amplitude of ECG wave forms

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Accurate design of square bandpass interference filters

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The measurement of small amplitude liquid surface wave by means of laser interference

Liu, J. (2011) · Optical Technique

Implementation of Optimized Filter Order to the PSD Analysis of QRS Detected ECG Signal

Hiam, S. M. (2022) · International Journal of Recent Technology and Engineering (IJRTE) · doi:10.35940/ijrte.d7328.1111422