RETRACTED ARTICLE: Advanced artificial intelligence in heart rate and blood pressure monitoring for stress management

Effects of stress on the development and progression of cardiovascular disease

Kivimäki, M., & Steptoe, A. (2018) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2017.189 · Cited by 1,197 · see citing works

Remote patient monitoring: a comprehensive study

Malasinghe, L. P., Ramzan, N., & Dahal, K. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-017-0598-x · Cited by 534 · see citing works

Technical and clinical aspects of cortisol as a biochemical marker of chronic stress

Lee, D. Y., Kim, E., & Choi, M. H. (2015) · BMB Reports · doi:10.5483/bmbrep.2015.48.4.275 · Cited by 484 · see citing works

The short-term stress response – Mother nature’s mechanism for enhancing protection and performance under conditions of threat, challenge, and opportunity

Dhabhar, F. S. (2018) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2018.03.004 · Cited by 333 · see citing works

Nonlinear heart rate variability features for real-life stress detection. Case study: students under stress due to university examination.

Melillo, P., Bracale, M., & Pecchia, L. (2011) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-10-96 · Cited by 328 · see citing works

Prenatal stress, development, health and disease risk: A psychobiological perspective—2015 Curt Richter Award Paper

Entringer, S., Buss, C., & Wadhwa, P. D. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.08.019 · Cited by 324 · see citing works

Self-compassion, stress, and coping in the context of chronic illness

Sirois, F. M., Molnar, D. S., & Hirsch, J. K. (2015) · Self and Identity · doi:10.1080/15298868.2014.996249 · Cited by 312 · see citing works

Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers

Useche, S. A., Ortíz, V. G., & Cendales, B. (2017) · Accident Analysis & Prevention · doi:10.1016/j.aap.2017.04.023 · Cited by 275 · see citing works

Mitigating Stress and Supporting Health in Deprived Urban Communities: The Importance of Green Space and the Social Environment

Thompson, C. W., Aspinall, P., Roe, J. J., Robertson, L., & Miller, D. (2016) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph13040440 · Cited by 273 · see citing works

Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications

Thakur, S., Singh, A. K., Ghrera, S. P., & Elhoseny, M. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6263-3 · Cited by 221 · see citing works

Design of Secure and Lightweight Authentication Protocol for Wearable Devices Environment

Das, A. K., Wazid, M., Kumar, N., Khan, M. K., Choo, K. R., & Park, Y. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2753464 · Cited by 207 · see citing works

Stress Detection Using Wearable Physiological and Sociometric Sensors

Mozos, Ó. M., Săndulescu, V., Andrews, S., Ellis, D. A., Bellotto, N., Dobrescu, R., & Vicente, J. M. F. (2016) · International Journal of Neural Systems · doi:10.1142/s0129065716500416 · Cited by 205 · see citing works

Change in Decentering Mediates Improvement in Anxiety in Mindfulness-Based Stress Reduction for Generalized Anxiety Disorder

Hoge, E. A., Bui, E., Goetter, E., Robinaugh, D. J., Ojserkis, R. A., Fresco, D. M., & Simon, N. M. (2015) · Cognitive Therapy and Research · doi:10.1007/s10608-014-9646-4 · Cited by 188 · see citing works

The Chinese Experience of Rapid Modernization: Sociocultural Changes, Psychological Consequences?

Sun, J., & Ryder, A. G. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00477 · Cited by 184 · see citing works

Recognizing human activity in mobile crowdsensing environment using optimized k -NN algorithm

Tharwat, A., Mahdi, H. M. K., Elhoseny, M., & Hassanien, A. E. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.04.017 · Cited by 137 · see citing works

Arachidonic acid in health and disease with focus on hypertension and diabetes mellitus: A review

Das, U. N. (2018) · Journal of Advanced Research · doi:10.1016/j.jare.2018.01.002 · Cited by 129 · see citing works

Slowing Down of Recovery as Generic Risk Marker for Acute Severity Transitions in Chronic Diseases

Rikkert, M. G. M. O., Dakos, V., Buchman, T. G., de Boer, R. J., Glass, L., Cramer, A. O. J., Levin, S. A., van Nes, E. H., Sugihara, G., Ferrari, M. D., et al. (2016) · Critical Care Medicine · doi:10.1097/ccm.0000000000001564 · Cited by 102 · see citing works

Measuring heart rate variability in horses to investigate the autonomic nervous system activity – Pros and cons of different methods

Stucke, D., Ruse, M. G., & Lebelt, D. (2015) · Applied Animal Behaviour Science · doi:10.1016/j.applanim.2015.02.007 · Cited by 99 · see citing works

Using Activity-Related Behavioural Features towards More Effective Automatic Stress Detection

Giakoumis, D., Drosou, A., Cipresso, P., Tzovaras, D. K., Hassapis, G. D., Gaggioli, A., & Riva, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043571 · Cited by 98 · see citing works

Benefits of mindfulness meditation in reducing blood pressure and stress in patients with arterial hypertension

Ponte Márquez, P. H., Feliu-Soler, A., Solé-Villa, M. J., Matas-Pericas, L., Filella-Agullo, D., Ruiz-Herrerias, M., Soler-Ribaudi, J., Roca-Cusachs Coll, A., & Arroyo-Díaz, J. A. (2019) · Journal of Human Hypertension · doi:10.1038/s41371-018-0130-6 · Cited by 92 · see citing works

Automatic Human Emotion Classification in Web Document Using Fuzzy Inference System (FIS)

Shakeel, P. M., & Baskar, S. (2019) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.2020010107 · Cited by 92 · see citing works

Wearable Glove-Type Driver Stress Detection Using a Motion Sensor

Lee, B. G., & Chung, W. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2016.2617881 · Cited by 88 · see citing works

Analysis of Stroop Color Word Test-Based Human Stress Detection using Electrocardiography and Heart Rate Variability Signals

Karthikeyan, P., Murugappan, M., & Yaacob, S. (2013) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-013-0786-8 · Cited by 72 · see citing works

Off-line and On-line Stress Detection Through Processing of the Pupil Diameter Signal

Ren, P., Barreto, A. B., Huang, J., Gao, Y., Ortega, F. R., & Adjouadi, M. (2013) · Annals of Biomedical Engineering · doi:10.1007/s10439-013-0880-9 · Cited by 70 · see citing works

Internet of Things based multiple disease monitoring and health improvement system

AbdulGhaffar, A., Mostafa, S. M., Alsaleh, A., Sheltami, T., & Shakshuki, E. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01204-6 · Cited by 45 · see citing works

The physiological microphone (PMIC): A competitive alternative for speaker assessment in stress detection and speaker verification

Patil, S. A., & Hansen, J. H. L. (2009) · Speech Communication · doi:10.1016/j.specom.2009.11.006 · Cited by 42 · see citing works

Macrophage migration inhibitory factor has a permissive role in concanavalin A-induced cell death of human hepatoma cells through autophagy

Lai, Y.-C., Chuang, Y.-C., Chang, C.-P., & Yeh, T.-M. (2015) · Cell Death and Disease · doi:10.1038/cddis.2015.349 · Cited by 30 · see citing works

Activity awareness can improve continuous stress detection in galvanic skin response

Tang, T. B., Wee, Y. L., & Lau, D. J. H. (2014) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2014.6985421 · Cited by 29 · see citing works

Scales used to rate adult patients’ psycho-emotional status in tooth extraction procedures: a systematic review

Astramskaitė, I., & Juodžbalys, G. (2017) · International Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.ijom.2017.03.015 · Cited by 29 · see citing works

Investigation of temperature effect of stress detection based on Barkhausen noise

Wang, P., Ji, X., Yan, X., Zhu, L., Wang, H., Tian, G. Y., & Yao, E. (2013) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2013.01.027 · Cited by 28 · see citing works

Natural language interface model for the evaluation of ergonomic routines in occupational health (ILENA)

Jutinico, C. J. M., Montenegro, C., Burgos, D., & Crespo, R. A. G. (2018) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-0770-y · Cited by 20 · see citing works

Secure access control by means of human stress detection

de Santos, A., Ávila, C. S., Bailador, G., & Guerra, J. (2011) · IEEE International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/ccst.2011.6095936 · Cited by 12 · see citing works

The LPF-1 combined occupational physiology and psychology laboratory

Donskaya, L. V., Vg, K., & Molchanov, A. M. (1976) · Biomedical Engineering · doi:10.1007/bf00560474 · Cited by 4 · see citing works

Double Secret Protection: Bridging Federal and State Law To Protect Privacy Rights for Telemental and Mobile Health Users

Sherman, J. (2018) · Duke Law Scholarship Repository (Duke University) · Cited by 2 · see citing works

The emergence of AI-based wearable sensors for digital health technology: a review

Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023) · Sensors · doi:10.3390/s23239498 · Cited by 535 · see citing works

Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques

Siam, A. I., Gamel, S. A., & Talaat, F. M. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-08428-w · Cited by 104 · see citing works

Evaluating different configurations of machine learning models and their transfer learning capabilities for stress detection using heart rate

Albaladejo‐González, M., Ruipérez‐Valiente, J. A., & Mármol, F. G. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-04365-z · Cited by 68 · see citing works

Analysis of vital signs using remote photoplethysmography (RPPG)

Karthick, R. V., Dawood, M. S., & Meenalochini, P. (2023) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-023-04683-w · Cited by 67 · see citing works

AIoT ‐enhanced health management system using soft and stretchable triboelectric sensors for human behavior monitoring

Xu, L. J., Zhong, S., Yue, T., Zhang, Z., Lu, X. F., Lin, Y., Li, L., Tian, Y., Jin, T., Zhang, Q., et al. (2024) · EcoMat · doi:10.1002/eom2.12448 · Cited by 67 · see citing works

Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform

Liu, T., Wilczyńska, D. M., Lipowski, M., & Zhao, Z. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18179049 · Cited by 48 · see citing works

Hybrid design for sports data visualization using AI and big data analytics

Liu, A., Mahapatra, R. P., & Mayuri, A. V. R. (2021) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00557-w · Cited by 46 · see citing works

Measurement of interpersonal physiological synchrony in dyads: A review of timing parameters used in the literature

Marzoratti, A., & Evans, T. M. (2022) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-022-01011-1 · Cited by 38 · see citing works

Artificial intelligence in atrial fibrillation: emerging applications, research directions and ethical considerations

Antoun, I., Abdelrazik, A., Eldesouky, M., Li, X., Layton, G. R., Zakkar, M., Somani, R., & Ng, G. A. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1596574 · Cited by 33 · see citing works

Non-invasive continuous blood pressure sensors in biomedical engineering research: A review

Samartkit, P., & Pullteap, S. (2024) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2024.115084 · Cited by 31 · see citing works

Artificial intelligence in mental health: innovations brought by artificial intelligence techniques in stress detection and interventions of building resilience

Liu, F., Ju, Q., Zheng, Q., & Peng, Y. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101452 · Cited by 28 · see citing works

Automated detection of mental disorders using physiological signals and machine learning: A systematic review and scientometric analysis

Singh, J., & Sharma, D. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17504-1 · Cited by 27 · see citing works

Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment

Casalino, G., Castellano, G., Kaymak, U., & Zaza, G. (2021) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci50451.2021.9660104 · Cited by 24 · see citing works

IoT-Enabled Healthcare Data Analysis in Virtual Hospital Systems Using Industry 4.0 Smart Manufacturing

Praveen, S. P., Ali, M. H., Jaber, M. M., Buddhi, D., Prakash, C., Rani, D. R., & Thirugnanam, T. (2023) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001423560025 · Cited by 21 · see citing works

Artificial Intelligence vs Emotional Intelligence

Bhardwaj, B., Sharma, D., & Dhiman, M. C. (2023) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-0418-1.ch001 · Cited by 19 · see citing works

Emo-MG Framework: LSTM-based Multi-modal Emotion Detection through Electroencephalography Signals and Micro Gestures

Fang, L., Xing, S. P., Ma, Z., Zhang, Z., Long, Y., Lee, K.-P., & Wang, S. J. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2228983 · Cited by 18 · see citing works

Physiological signal-based mental stress detection using hybrid deep learning models

Modi, N., Kumar, Y., Mehta, K., & Chaplot, N. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00412-8 · Cited by 18 · see citing works

Innovative Research on English Teaching Model Based on Artificial Intelligence and Wireless Communication

Wang, Y., & Kew, S. N. (2022) · International Journal of Reliability Quality and Safety Engineering · doi:10.1142/s0218539322400071 · Cited by 16 · see citing works

A new era for stress research: supporting user performance and experience in the digital age

Matthews, G., Cumings, R., Santos, E. P. D. L., Feng, I. Y., & Mouloua, S. A. (2024) · Ergonomics · doi:10.1080/00140139.2024.2425953 · Cited by 15 · see citing works

AI-driven wearable health devices with health-aware control and secure Prognostics: Experimental and Simulation-Based Validation

Jain, A. K., & Bhullar, S. (2025) · Array · doi:10.1016/j.array.2025.100532 · Cited by 17 · see citing works

Effective College English Teaching Based on Teacher-student Interactive Model

Fang, H., Shi, H., Zhang, J., & Karuppiah, M. (2022) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3486676 · Cited by 9 · see citing works

Speed controller-based fuzzy logic for a biosignal-feedbacked cycloergometer

Ensastiga, S. A. L., Rodríguez‐Reséndiz, J., & Estévez-Bén, A. A. (2021) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2021.1977799 · Cited by 6 · see citing works

Artificial Intelligence and Stress Management Tools for Better Mental Health

Yadav, S. J. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9158-7.ch007 · Cited by 5 · see citing works

Pressure Classification Analysis on CNN-Transformer-LSTM Hybrid Model

Peng, X., Ni, Y., Zeng, W., & Jin, Y. (2024) · Journal on artificial intelligence · doi:10.32604/jai.2024.059114 · Cited by 5 · see citing works

Enhancement of a Camera-Based Continuous Heart Rate Measurement Algorithm

Adelabu, M. A., Imoize, A. L., & Adesoji, K. E. (2022) · SN Computer Science · doi:10.1007/s42979-022-01179-w · Cited by 5 · see citing works

Stress influence on real-world driving identified by monitoring heart rate variability and morphologic variability of electrocardiogram signals: the case of intercity roads

Rostamzadeh, S., Abouhossein, A., Vosoughi, S., Gendeshmin, S. B., & Yarahmadi, R. (2023) · International Journal of Occupational Safety and Ergonomics · doi:10.1080/10803548.2023.2293391 · Cited by 4 · see citing works

Computer Network Data Management Model Based on Edge Computing

Liu, H., Song, L., Sundarasekar, R., & Malar, A. J. G. (2023) · International Journal of Reliability Quality and Safety Engineering · doi:10.1142/s0218539323500304 · Cited by 3 · see citing works

An Efficient KNN Algorithm for the Mental Health Performance Assessment Using K-means Clustering

Chahar, R., Dubey, A. K., & Narang, S. K. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-7633-1_42 · Cited by 3 · see citing works

Seamless monitoring of stress levels leveraging a foundational model for time sequences

Gabrielli, D., Prenkaj, B., & Velardi, P. (2025) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2025.103336 · Cited by 2 · see citing works

Fuzzy Logic Controlled an Autonomous Patient's Health Monitoring System through the Internet of Things

Islam, T., Qureshi, M. J. U., Nasir, M. F., Chowdhury, R., Palit, H., & Mitra, P. (2022) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit57492.2022.10055115 · Cited by 2 · see citing works

Wearable Sensors and Pervasive Computing for Remote Healthcare

Thakur, A., & Kumar, A. (2022) · Springer eBooks · doi:10.1007/978-981-16-8150-9_16 · Cited by 2 · see citing works

Beat Trustfully: The Correlation Between Heart Rate and a Multi-dimensional Trust Questionnaire

Mosaferchi, S., Califano, R., Pica, G., Orlando, L., Villecco, F., & Naddeo, A. (2025) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-86370-7_1 · Cited by 1 · see citing works

Sophisticated bio-sensing architecture for anxiety identification using enhanced machine learning techniques

Dubey, S., DUBEY, S., Malviya, S., Joshi, N., & Pranjal, P. (2025) · Medicine in Novel Technology and Devices · doi:10.1016/j.medntd.2025.100405 · Cited by 1 · see citing works

Fact Finding Instructor-based Clustering Technique for BP Estimation using Human Speech Signals

Rajput, V. S., & Mulay, P. (2023) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2023.2273203 · Cited by 1 · see citing works

An Investigation on Students Learnings & Mental Health Influenced by Artificial Intelligence

Journal, I. (2024) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · doi:10.55041/ijsrem29138 · Cited by 1 · see citing works

Energy consumption optimization & Improving performance in CPU of the implantable cardioverter defibrillator with using design and hardware implementation of CNN neural network on Zynq

Keyanfar, A., Ghaderi, R., Nazari, S., Hajimoradi, B., & Kamalzadeh, L. (2024) · International Conference on Technology and Energy Management (ICTEM) · doi:10.1109/ictem60690.2024.10631947 · Cited by 1 · see citing works

Implementation of a home-made high accuracy pulsimeter and oximeter

Fernández-Alonso, F. J., Pau, J. L., & Redondo‐Cubero, A. (2022) · Journal of Instrumentation · doi:10.1088/1748-0221/17/10/c10020

Numerical Investigation of Physical Parameters in Cardiac Vessels as a New Medical Support Science for Complex Blood Flow Characteristics

Defrianto, Saktioto, S., Soerbakti, Y., Thoibah, A., Meyzia, B., Syahputra, R. F., Okfalisa, Syamsudhuha, S., Irawan, D., & Hairi, H. M. (2023) · Baghdad Science Journal · doi:10.21123/bsj.2023.7076

“Health Is the Real Wealth”: Unsupervised Approach to Improve Explainability in Health-Based Recommendation Systems

Ortiz-Viso, B., Fernandez‐Basso, C., Gómez-Sánchez, J., & Martín-Bautista, M. J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-42935-4_19

Simplified Kinetic Model of Heart Pressure for Human Dynamical Blood Flow

Saktioto, S., Defrianto, D., Thoibah, A., Soerbakti, Y., Syahputra, R. F., Syamsudhuha, S., Irawan, D., Hairi, H. M., Okfalisa, O., & Amelia, R. (2023) · Indonesian Journal of Electrical Engineering and Informatics (IJEEI) · doi:10.52549/ijeei.v11i3.3473

Construction of a Motion Data Collection System for Mobile Device Heart Rate Monitoring

Gao, H. (2023) · International Conference on Integrated Intelligence and Communication Systems (ICIICS) · doi:10.1109/iciics59993.2023.10420930

Psychological behavior Analysis in social media based on automated deep learning method

Shnawa, A. H., Ali, A., Hussien, N. A., Zaydan, N. R. W., Jaffer, Z., & Jawad, I. A. (2023) · Annual International Conference on Emerging Research Areas and International Conference on Microelectronics, Communications and Renewable Energy · doi:10.1109/aicera/icis59538.2023.10420058

Application of Virtual Reality-based Stress and Anxiety Management

Maktoof, M. A. J., Saleh, A. S., Adile, M., Ahmed, M. S. M., & Mohammed, A. (2023) · International Conference on Emerging Research in Computational Science (ICERCS) · doi:10.1109/icercs57948.2023.10434068

Barriers of Agrisupply Chain Management

Satapathy, S., Chauhan, H., Mishra, M., Jena, H., & Sahu, R. K. (2024) · Advances in business information systems and analytics book series · doi:10.4018/979-8-3693-3583-3.ch007

Intelligent Monitoring System for Stress Levels

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Artificial Intelligence in the Healthcare Sector: Possibilities and Problems

Rastogi, P. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-84397-6_1

Annual Enterprise Summit on Job Satisfaction Analysis Using Vocal Music Performance

Safir, B., Jawad, I. A., Mohammed, A. A. S., Sulaiman, S. K., & Mohsen, A. H. (2025) · International Conference on Computational Innovations and Engineering Sustainability (ICCIES) · doi:10.1109/iccies63851.2025.11032497

Remote Healthcare Monitoring Based on Fuzzy-Assisted Machine Learning Framework with Fog-Computing System

Maktoof, M. A. J., Jameel, S. M., Habelalmateen, M. I., Sharif, H., Abbas, J. K. K., & Hussein, A. (2024) · IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS) · doi:10.1109/icetas62372.2024.11119983

Emotion-Aware Music Generation for Personalized Soundtracks in Digital Media Using Transformer-Based AI Models

Rao, S. G., Beula, D., Sahu, P., Al–Fatlawy, R. R., Gowtham, M. S., Manaa, M. E., & Alhayaly, A. A. (2025) · International Conference on Cyber Resilience (ICCR) · doi:10.1109/iccr67387.2025.11291633

Des environnements professionnels analogues au défi spatial : étude des réponses adaptatives au stress et contre-mesures de santé pour un maintien opérationnel sous contrainte

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Electric field-response systems for biomedical application

Abdel-Halim, B. Y., Amin, A. T. E.-S., Essmat, R. A., Al-anany, M. A. A., Fahmy, H. M., & Goda, E. S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33641-6.00026-9

Harnessing Language Intelligence: Innovative Approaches to Sustainable Mental Health Interventions in the Digital Age

Zahir, M. H., Tauheed, N., Siddiqui, S. Y., Yousaf, S. M. J., Rahim, M., & Arif, A. (2024) · International Journal of Innovations in Science and Technology · doi:10.33411/ijist/1149

ECG-based Mental Stress Assessment Using Fuzzy Computing and Associative Petri Net

Chiang, H. (2015) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-015-0095-7 · Cited by 40 · see citing works

A Simulated Case Study for Application of Blood Pressure Parameters to predict Heart Rate

Patel, S. R., Akhter, N., & Naiknaware, B. (2025) · Journal of Emerging Technologies and Innovative Research · doi:10.56975/jetir.v12i7.566269

Stress Management Using Artificial Intelligence

Madhuri, V., Mohan, M. R., & Kaavya, R. (2013) · International Conference on Advances in Computing and Communications (ICACC) · doi:10.1109/icacc.2013.97 · Cited by 29 · see citing works

Stress Monitoring Based on Stochastic Fuzzy Analysis of Heartbeat Intervals

Kumar, M., Neubert, S., Behrendt, S., Rieger, A., Weippert, M., Stoll, N., Thurow, K., & Stoll, R. (2012) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2012.2183602 · Cited by 35 · see citing works

Identification and Classification of Human Mental Stress using Physiological Data: A Low-Power Hybrid Approach

Roy, A., Acharya, A., Biswas, S., Ray, S., & Ganguly, B. (2022) · IEEE International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) · doi:10.1109/catcon56237.2022.10077709 · Cited by 3 · see citing works