Scientific Publications

Minns, S., Zapetis, S., Xu, E., Li, J., Turnamian, M., Tharanipathy, A., Webb, D., & Stange, J. P. (2026). 360. From Movement to Mood: Momentary Activity as a Marker of Adaptive Emotion Regulation in Remitted Depression. Biological Psychiatry, 99(10), S254. https://doi.org/10.1016/j.biopsych.2026.03.594

Hefied, Y. K., Aribi, D., Demesure, G., & Bril El-Haouzi, H. (2026). A data-driven approach for tailored fatigue modeling in the context of production planning and control. Computers & Industrial Engineering, 216, 111997. https://doi.org/10.1016/j.cie.2026.111997

Sheridan, S., Pope, R., MacPhee, R. S., MacQuarrie, A., Fischer, S., Buzza, G., Stack, H., Bolton, L., Grevell, J., Sheridan, C. T., Buckman, J., & Rayner, R. (2026). A Mixed Method Approach to Assessing the Feasibility of Implementing the Ottawa Paramedic Physical Abilities Test (TM) in the Australian Context. The Internet Journal of Allied Health Sciences and Practice, 24(1), Article 13. https://nsuworks.nova.edu/ijahsp/vol24/iss1/13

Chowdhury, T. A., Gratz-Kelly, S., Wagner, E., Motzki, P., & Lehser, M. (2026). A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments. Advanced Intelligent Discovery, Article e202500217. https://doi.org/10.1002/aidi.202500217

Rodríguez-Costa, I., Díaz-Pulido, B., Pérez-Martín, Y., Nunez-Nagy, S., Valero-Gil, M. Á., Cano-Hernamperez, A., & Trapero-Asenjo, S. (2026). Ageing Population and Balance Under Stressful Conditions - A Cross-Sectional Observational Study. Healthcare, 14(2), Article 237. https://doi.org/10.3390/healthcare14020237

Gélébart, J., Fouré, A., Quentin, R., & Debarnot, U. (2026). Decoding hypnotic consciousness: neural and experiential insights into induced and ideomotor suggestions. Neuroscience of Consciousness, 2026(1), niag019. https://doi.org/10.1093/nc/niag019

Wolfe, A. H. J., Hinds, P. S., du Plessis, A. J., Gordish-Dressman, H., & Soghier, L. (2026). Describing the Impact of Physician End-of-Life Communication Training on Simulated Stress Using a Novel Stress Marker. The American Journal of Hospice & Palliative Care, 43(4), 393-402. https://doi.org/10.1177/10499091251330279

Membership of GITES, Alarcos, B., Díaz-Pulido, B., Fernández, O., Fernández-Guinea, S., García Herraiz, A., Lendínez-Chica, M. del M., Martínez Muela, J., Nunez-Nagy, S., Pérez-Martín, Y., Rodríguez-Costa, I., Rubio González, G. M., Trapero-Asenjo, S., & Velasco, J. R. (2026). Detection of balance in the elderly under the influence of stress (DEPIE): A cross-sectional study protocol. PLOS One, 21(1), e0341744. https://doi.org/10.1371/journal.pone.0341744

Bull, R., Wong, S., MacQuarrie, A., Katrakazos, E., Cumming, T., & McFarland, L. (2026). Early Childhood Educators’ Well-Being and Physiological Stress in the Workplace: An Exploratory Study Utilizing Wearable Technology. International Journal of Stress Management, 33(1), 55–66. https://doi.org/10.1037/str0000381

Aucoin, R., Nguyen, D., Ross, B., Bourbeau, J., Lewthwaite, H., Ekström, M., von Leupoldt, A., & Jensen, D. (2026). Effect of fan-to-face therapy on exertional breathlessness in adults with chronic lung disease. ERJ Open Research, 12(4). https://doi.org/10.1183/23120541.01636-2025

Nagy, S. I., Matuz, A., Vörös, V., Schiffer, Á., Maróti, P., Hillebrand, P., Bandi, S., & Vas, B. (2026). Effects of Virtual Reality Training on Musical Performance-Related Physiological Responses: A Mixed-Reality Physiological Study. Computers in Human Behavior Reports, 22, Article 100999. https://doi.org/10.1016/j.chbr.2026.100999

Sokol, M., Holuša, J., Hejda, J., Volf, P., Matějka, M., & Kutílek, P. (2026). Environmental Conditions and Cardiac Autonomic Function During an Antarctic Summer Expedition at James Ross Island. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-026-51221-7

Shimada, A., Kanaji, S., Sugita, Y., Ikeda, T., Koterazawa, Y., Aoki, T., Harada, H., Otowa, Y., Urakawa, N., Goto, H., Hasegawa, H., Yamashita, K., Matsuda, T., & Kakeji, Y. (2026). Evaluating surgeons’ stress using heart rate variability during minimally invasive surgery for gastric cancer- a single-center prospective cohort study. Langenbeck's Archives of Surgery, 411(1). https://doi.org/10.1007/s00423-026-04056-9

Engelbrecht, A., Baylon, G., Dwivedi, P., Soghier, L., & Wolfe, A. (2026). Heart Rate Variability as a Marker of Stress in Trainee Performance of Critical Procedures [Conference abstract 1260]. Critical Care Medicine, 54(3S). https://doi.org/10.1097/01.ccm.0001187036.71827.02

Lee, R. H. Y., Vukovic, S., Lucci, V. E. M., Lando, J. T., & Claydon, V. E. (2026). Innovative wearable technology for autonomic and sleep monitoring: Examining metric-level signal performance of the Astroskin biometric shirt. Autonomic Neuroscience: Basic & Clinical, 267, 103464. https://doi.org/10.1016/j.autneu.2026.103464

Valente, L., Quaresma, C., & Quintão, C. (2026). Multimodal Analysis of Human Movement Patterns Using a Smart Wearable T-Shirt and Force Platform. Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2026). https://www.insticc.org/node/TechnicalProgram/biostec/2026/presentationDetails/144739

Jlassi, O., Hadid, A., McDonald, E. G., Ding, Q., Phillipp, C., Trottier, A., Cheng, M. P., Papenburg, J., Libman, M., Jensen, D., & Dixon, P. C. (2026). Predicting viral respiratory tract infections using wearable biosensor monitoring during 3-minute constant rate stair stepping tests. Frontiers in Sensors, 7, Article 1736869. https://doi.org/10.3389/fsens.2026.1736869

Matheson, D. J., Burnett, R. A., Kapron, C. R., Blackburn, B. E., Gililland, J. M., Anderson, L. A., Pelt, C. E., Peters, C. L., & Archibeck, M. J. (2026). Severe Coronal Plane Deformity Correction in Total Knee Arthroplasty Is Associated With Increased Surgeon Physiologic Demand. The Journal of Arthroplasty. https://doi.org/10.1016/j.arth.2026.01.013

Minns, S. A., Martins-Klein, B., Zapetis, S. L., Xu, E. P., Li, J., León, G. A., Turnamian, M. R., Webb, D., Tharanipathy, A., Givens, E., & Stange, J. P. (2026). When breath lifts your mood: Dynamic everyday links between breathing, affect, and emotion regulation in remitted depression. Journal of Affective Disorders, 396, 120686. https://doi.org/10.1016/j.jad.2025.120686

Bonakdar, K. (2025). A Middleman Application for Cross-Platform Data Collection from Hexoskin Smart Vest [Master’s thesis, California State University, Northridge]. https://scholarworks.calstate.edu/concern/theses/qj72ph460

Passalacqua, M., Pellerin, R., Sénécal, S., & Léger, P.-M. (2025). A Multi-Method Assessment of Human-AI Interaction in Delivery Driving: Examining Driver Stress, Fatigue, Attention, Situation Awareness, and Risky Driving Behavior. In The Design of Human-Centered Artificial Intelligence for the Workplace (pp. 267-279). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-83512-4_15

Baylon, G., Soghier, L., Gordish, H., & Wolfe, A. (2025). A Pilot Study Measuring Pediatric Clinician Daily Physiologic Stress Using Heart Rate Variability [Conference abstract]. Critical Care Medicine. https://doi.org/10.1097/01.ccm.0001099128.48142.cb

Rothstein, A., Hirsch, J., Hillian, A., & DiFrancisco-Donoghue, J. (2025). A Randomized Control Trial Comparing the Effects of N-95 Respirator Versus Surgical Mask Use on Resting Metabolic and Respiratory Changes. Journal of Occupational and Environmental Medicine, 67(5), 339-343. https://doi.org/10.1097/JOM.0000000000003322

Campbell, K., Neul, J. L., Lieberman, D. N., Berry‑Kravis, E., Benke, T. A., Fu, C., Percy, A., Suter, B., Morris, D., Carpenter, R. L., Marsh, E. D., & von Hehn, J. (2025). A randomized, placebo‑controlled, cross‑over trial of ketamine in Rett syndrome. Journal of Neurodevelopmental Disorders, 17, Article 4. https://doi.org/10.1186/s11689-025-09591-y

Krishnapriya, G. B., Ponnalagu, R. N., & Goel, S. (2025). A Resource-Efficient Time-Domain-Based Algorithm to Estimate Respiration Rate From Single-Lead ECG Signal. IEEE Open Journal of Instrumentation and Measurement, 4, 1–9. https://doi.org/10.1109/OJIM.2025.3548816

Bıçakcı Yeşilkaya, H. S., & Guest, R. (2025). Activity-Aware Electrocardiogram Biometric Verification Utilising Deep Learning on Wearable Devices. EURASIP Journal on Information Security, 2025(1), Article 7. https://doi.org/10.1186/s13635-025-00193-8

Li, J., Xu, E. P., Zapetis, S. L., Phanord, C. S., Ye, Z., Farrukh, U., Forbes, E., Trull, T. J., & Stange, J. P. (2025). Ambulatory Physiological State Dynamics Predict Proximal Behavioral Markers of Affect Regulation in Everyday Life. Journal of Psychopathology and Clinical Science, 134(8), 926–934. https://doi.org/10.1037/abn0001030

Davidson, J. M., Pulford-Thorpe, A., Callaghan, J. P., & Dominelli, P. B. (2025). An active sitting chair can increase energy expenditure while performing standardized data entry work. Work: A Journal of Prevention, Assessment and Rehabilitation, 81(1), 2129–2138. https://doi.org/10.1177/10519815241303339

Pelgröm, A. T., de Jongh, F. H. C., van den Aardweg, J. G., & van Veen, I. H. P. A. A. (2025). Analysis of the Breathing Pattern in Patients with Asthma During Physical Exercise: A Cross-Sectional Study. Respiratory Medicine, 240, 108037. https://doi.org/10.1016/j.rmed.2025.108037

Nguyen, E., Robert, M., Ding, T. Y., Gharbi, O., Jahani, A., St-Jean, J., Rodriguez, C., Sarzo Wabi, I., Galindo Lazo, D. A., Nguyen, D. K., & Bou Assi, E. (2025). Assessment of a Biometric Shirt for Sleep Body Position Identification in Epilepsy. Frontiers in Neurology, 16, Article 1662988. https://doi.org/10.3389/fneur.2025.1662988

Pavan, K., Singh, A., Pawar, D. S., & Ganapathy, N. (2025). Assessment of Driver Inattention State Using Multimodal Wearable Signals and Cross-Attention-Driven Hierarchical Fusion. Studies in Health Technology and Informatics, 323, 121-125. https://doi.org/10.3233/SHTI250061

Dixon, P. C., Dubeau, S., Roy, J.-F., & Fournier, P.-A. (2025). Automatic cough detection via a multi-sensor smart garment using machine learning. Computers in Biology and Medicine, 191, Article 110192. https://doi.org/10.1016/j.compbiomed.2025.110192

Distler, T. (2025). Breath in motion: understanding runners' perception, adaptation and embodiment to respiratory visualizations [Master's thesis, University of Salzburg]. https://eplus.uni-salzburg.at/Abschlussarbeiten/content/titleinfo/12715805

Auger, D., Almond, A., Wright, R., Breuer, J., Fletcher, F., & Jones, K. E. (2025). Bridging Spirit and Science: Physiological and Spiritual Effects of Wîwîp’son Healing Swing Sessions. Research Square. https://doi.org/10.21203/rs.3.rs-8399311/v1

Dogan, A., Bishnoi, A., Sowers, R. B., & Hernandez, M. E. (2025). Continuous Heart Rate Recovery Monitoring with ECG Signals from Wearables: Identifying Risk Groups in the General Population. IEEE Journal of Biomedical and Health Informatics, 29(8), 5493–5502. https://doi.org/10.1109/JBHI.2025.3550092

Burnett, R. A., Matheson, D. J., Kapron, C. R., Blackburn, B. E., Gililland, J. M., Anderson, L. A., Pelt, C. E., Peters, C. L., & Archibeck, M. J. (2025). Conversion Total Knee and Hip Arthroplasty Requires Increased Energy Expenditure Compared to Primary Knee Arthroplasty. The Journal of Arthroplasty. Advance online publication. https://doi.org/10.1016/j.arth.2025.11.003

Babakhani, S., Remy, D., & Roitberg, A. (2025). Deep Learning for Metabolic Rate Estimation from Biosignals - A Comparative Study of Architectures and Signal Selection. arXiv. https://doi.org/10.48550/arXiv.2511.09276

Jain, S., Barua Chowdhury, B. D., Mosier, J. M., Subbian, V., Hughes, K., & Son, Y.-J. (2025). Design and Development of an Integrated Virtual Reality (VR)-Based Training System for Difficult Airway Management. IEEE Journal of Translational Engineering in Health and Medicine, 13, 49–60. https://doi.org/10.1109/JTEHM.2025.3529748

St-Jean, J., Gharbi, O., Toffa, D. H., Tran, T. P. Y., Robert, M., Nguyen, D. K., & Bou Assi, E. (2025). Detection of Focal Impaired Awareness Seizures Using a Biometric Shirt. Epilepsia Open. https://doi.org/10.1002/epi4.70099

Hadid, A., McDonald, E. G., Ding, Q., Phillipp, C., Trottier, A., Dixon, P. C., Jlassi, O., Cheng, M. P., Papenburg, J., Libman, M., & Jensen, D. (2025). Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial. The Lancet Digital Health, 7(7), 100886. https://doi.org/10.1016/j.landig.2025.100886

Pirlot, T., Baron, B., Ravier, G., & Groslambert, A. (2025). Effect of Heat on Psycho-Physiological Responses During a Self-Paced Cycling Time Trial. Journal of Science and Cycling, 14(2), Article 13. https://www.jsc-journal.com/index.php/JSC/article/view/1044

Kato, K., Hashimoto, Y., Aimoto, K., Kamiya, M., Kawamura, K., Yoshimi, T., & Kondo, I. (2025). Electrocardiogram and Respiration Recordings Show a Reduction in the Physical Burden on Professional Caregivers When Performing Care Tasks With a Transfer Support Robot. Assistive Technology, 37(3), 185–193. https://doi.org/10.1080/10400435.2024.2409289

Gossett, E. W., Piscopo, C., Hughes, J. M., Khan, S., Wakely, S., Salinas-Aguayo, A., Parker, T., Henning, R. A., & Kim, I. (2025). Enhancing Ecological Validity in Wearable Sensor Stress Research: A Novel Laboratory Paradigm Integrating Cognitive, Physical, and Social-Evaluative Demands. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 69(1), 1313–1318. https://doi.org/10.1177/10711813251371653

Alkurdi, A., He, M., Cerna, J., Clore, J., Sowers, R., Hsiao-Wecksler, E. T., & Hernandez, M. E. (2025). Extending Anxiety Detection from Multimodal Wearables in Controlled Conditions to Real-World Environments. Sensors, 25(4), 1241. https://doi.org/10.3390/s25041241

Bishnoi, A., & Hernandez, M. E. (2025). Heart rate reserve effects on brain activation and cognitive-motor performance while doing an instrumented trail walking task in middle-aged to older adults. Archives of Gerontology and Geriatrics Plus, 2, 100115. https://doi.org/10.1016/j.aggp.2024.100115

Rabineau, J., Hedge, E. T., Fournier, R., Mastrandrea, C. J., & Hughson, R. L. (2025). Heart rate variability during exercise can quantify cardiorespiratory deconditioning in 55- to 65-yr-old men and women exposed to head-down bed rest. Journal of Applied Physiology, 138(4), 1002-1010. https://doi.org/10.1152/japplphysiol.00017.2025

Ismail, I., Rand, C., Krishnamurthi, N., & Weese-Mayer, D. E. (2025). Heart Rate Variability Measurement Through a Smart Wearable Device in Congenital Central Hypoventilation Syndrome (CCHS): Influence of PHOX2B Genotype. American Journal of Respiratory and Critical Care Medicine, 211(Supplement 1), A4429. https://doi.org/10.1164/ajrccm.2025.211.Abstracts.A4429

Nishibe, T., Domoto, H., Uchiya, T., Ichi, T., & Funase, A. (2025). Investigation of Effective Heart Rate Variability Indices for Emotion Estimation During Long-term Images Gazing. IIAI Letters on Informatics and Interdisciplinary Research, 6. https://doi.org/10.52731/liir.v006.330

Olschewski, M. (2025). Machine learning-based metabolic rate estimation from wearable sensors [Bachelor’s thesis, University of Stuttgart]. https://doi.org/10.18419/opus-16447

Khan, M. N. H., Creswell, D., Albert, J., O'Connell, P., Fallon, S., Polowitz, M., Xu, X. O., & Islam, B. (2025). Mindfulness Meditation and Respiration: Accelerometer-Based Respiration Rate and Mindfulness Progress Estimation to Enhance App Engagement and Mindfulness Skills. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9(3), 1–32. https://doi.org/10.1145/3749498

Lindquist, H. R. (2025). Neural Correlates of Motor Control and Stress Response During Ambidextrous Polyrhythmic Drumming: An examination into how different musical genres influence autonomic nervous system responses during individual instrumental practice [Manuscript]. NeuroDrummingLab. https://neurodrumminglab.com/Documents/Grooves_and_Stress-JournalArticle_v2.pdf

Lindquist, H. R. (2025). New Breed Practice Variations - Comprehensive Research Summary: An investigation whether different practice structures for identical musical material creates distinct physiological stress profiles [Manuscript, version 2.0]. NeuroDrummingLab. https://neurodrumminglab.com/Documents/New%20Breed%20Practice%20Variations%20-%20Comprehensive%20Research%20Summary.pdf

He, M., Cerna, J., Mathew, R., Zhao, J., Zhao, J., Espina, E., Clore, J. L., Sowers, R. B., Hsiao-Wecksler, E. T., & Hernandez, M. E. (2025). Objective anxiety level classification using unsupervised learning and multimodal physiological signals. Smart Health, 36, 100572. https://doi.org/10.1016/j.smhl.2025.100572

Othman, H., Hannon, B., Liu, Z. A., Raman, S., Sexton, E., Kasper, C., Auger, H., Tsai, C. J., Barry, A., & Wong, P. (2025). Patient Reported Outcomes/Metrics Program Trial (PROMPT)—palliative radiation- protocol of a prospective observational feasibility study. Annals of Palliative Medicine, 14(6), 570-578. https://doi.org/10.21037/apm-25-19

Lindquist, H. R. (2025). Physiological Stress Responses During Musical Practice: An Integrated Analysis of Genre-Specific and Practice Structure Effects [Manuscript]. NeuroDrummingLab. https://neurodrumminglab.com/Documents/Complete_merged_Grooves_and_NewBreed_research_article.pdf

Passalacqua, M., Pellerin, R., Yahia, E., Magnani, F., Rosin, F., Joblot, L., & Léger, P.-M. (2025). Practice With Less AI Makes Perfect: Partially Automated AI During Training Leads to Better Worker Motivation, Engagement, and Skill Acquisition. International Journal of Human-Computer Interaction, 41(4), 2268-2288. https://doi.org/10.1080/10447318.2024.2319914

Te Hennepe, N., Steegh, V. L. J. M., Pouw, M. H., Roukema, J., De Kleuver, M., & Van Hooff, M. L. (2025). Pulmonary function in patients with adolescent idiopathic scoliosis: an explorative study of a wearable smart shirt as a measurement instrument. Spine Deformity, 13(1), 101-110. https://doi.org/10.1007/s43390-024-00938-4

Kuznetsov, M., Grant, A. R., Coden, G., Travers, H. I., & Talmo, C. (2025). Radiographic Femur Girth Ratio—Not Body Mass Index—Predicts Surgical Energy Expenditure in Total Knee Arthroplasty. Journal of Orthopaedic Reports, 4(1), Article 100582. https://doi.org/10.1016/j.jorep.2025.100582

Sharma, A., Cameron, A.-F., Léger, P.-M., Bayard-Arthur, E., Coursaris, C. K., & Sénécal, S. (2025). Smombies on the Move: Exploring the Role of Digital Nudges. AMCIS 2025 Proceedings, 9. https://aisel.aisnet.org/amcis2025/sig_core/sig_core/9

Saygin, M., Schoenmakers, M., Gevonden, M., & de Geus, E. (2025). Speech Detection via Respiratory Inductance Plethysmography, Thoracic Impedance, Accelerometers, and Gyroscopes: A Machine Learning-Informed Comparative Study. Psychophysiology, 62(2). https://doi.org/10.1111/psyp.70021

Krüger, A. (2025). Stabilität von Atemmustern im Biathlonschießen und deren Einfluss auf die Trefferleistung unter varianter physischer Belastung [Master’s thesis, University of Salzburg]. https://eplus.uni-salzburg.at/Abschlussarbeiten/content/titleinfo/11808009

MacQuarrie, A. (Sandy), Hunter, J., Steele, J., Chandramouli, S., Stainer, M., Rengers, A., & Wickham, J. (2025). The Effect of Occupational Physical Activity on Paramedic Student Neurocognitive Response in High-Fidelity Simulation: A Pilot Randomized Cross-Over Trial. Journal of Healthcare Simulation. https://doi.org/10.54531/ITNX9528

Kutzin, J. M. (2025). The impact of light on healthcare professionals' stress levels following a simulated clinical experience [Doctoral dissertation, Texas Woman's University]. https://hdl.handle.net/11274/17133

Hardon, H. J., Van Kerkhof, Y. N., Bartelds, B., Kammeraad, J. A. E., & Van Deutekom, A. W. (2025). The Validation and Accuracy of Wearable Heart Rate Trackers in Children With Heart Disease: Prospective Cohort Study. JMIR Formative Research, 9, e70835. https://doi.org/10.2196/70835

Vukovic, S., Lee, R., & Claydon, V. (2025). Validation Of A Novel Method For Identifying Sleep-Disordered Breathing In Spinal Cord Injury. Sleep, 48(Supplement_1), A562. https://doi.org/10.1093/sleep/zsaf090.1305

Couture, L., Passalacqua, M., Joblot, L., Magnani, F., Pellerin, R., & Léger, P.-M. (2024). Adaptive System to Enhance Operator Engagement during Smart Manufacturing Work. Sensors & Transducers, 265(2), 106–119. http://www.sensorsportal.com/p_3339.htm https://sensorsportal.com/HTML/DIGEST/p_3339.html

Pavan, K., Singh, A., Igasaki, T., Pawar, D. S., & Ganapathy, N. (2024). Assessment of Driver's Stress State Using Smart T-Shirt Textile Electrodes and Multimodal Cross-Attention Networks. IEEE Sensors Letters, 8(10), 1-4. https://doi.org/10.1109/LSENS.2024.3458931

Eguchi, K., Barth, A., & Spicher, N. (2024). Benchmarking open-source algorithms for QRS detection and RRI editing in textile electrocardiography. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1–6). IEEE. https://doi.org/10.1109/EMBC53108.2024.10782192

Mohd Nawawi, M. M., Sidek, K. A., & Azman, A. W. (2023). Biometric Analysis on Smart Textile Garment in Real Life Scenario. Journal of Advanced Research in Applied Sciences and Engineering Technology, 34(1), 372-386. https://doi.org/10.37934/araset.34.1.372386

Pavan, K., Roha, V. S., Igasaki, T., Karthick, P. A., Pawar, D. S., & Ganapathy, N. (2024). Classifying Driver Distraction with Textile Electrocardiograms. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024, 1-4. https://doi.org/10.1109/EMBC53108.2024.10782613

Alalool, A., Dubeau, S., Shu, Y., Roy, J.-F., Fournier, P.-A., Crystal, E., & Cheung, C. (2024). Comparative Analysis of a Wearable Electrocardiograph Reporting Technology and Holter Monitor in Cardiac Monitoring: A Prospective Study. Canadian Journal of Cardiology, 40, S67. https://doi.org/10.1016/j.cjca.2024.08.104

Azeez, R. (2024). Design and Test of wPUM Topography Monitor for IQOS [Master's thesis, Rochester Institute of Technology]. RIT Digital Institutional Repository. https://repository.rit.edu/theses/11736

Gharbi, O., Lamrani, Y., St-Jean, J., Jahani, A., Toffa, D. H., Tran, T. P. Y., Robert, M., Nguyen, D. K., & Bou Assi, E. (2024). Detection of focal to bilateral tonic–clonic seizures using a connected shirt. Epilepsia, 65(8), 2280–2294. https://doi.org/10.1111/epi.18021

Gharbi, O. (2024). Détection automatique des crises d'épilepsie par un chandail connecté [Master's thesis, Université de Montréal]. https://umontreal.scholaris.ca/items/e4f2e205-e1a6-4083-866e-6bc05f0430b2

Mohd Nawawi, M. M., Sidek, K. A., & Azman, A. W. (2024). ECG in Real World Scenario: Time Variability in Biometric Using Wearable Smart Textile Shirts. Journal of Advanced Research in Applied Sciences and Engineering Technology, 40(2), 36-49. https://doi.org/10.37934/araset.40.2.3649

Coden, G., Greenwell, P., Niu, R., Fang, C., Talmo, C., & Smith, E. L. (2024). Energy expenditure of femoral broaching in direct anterior total hip replacements—Comparison between manual and automated techniques. The International Journal of Medical Robotics and Computer Assisted Surgery, 20(1), Article e2592. https://doi.org/10.1002/rcs.2592

Saini, A. (2024). Enhancing Human Activity Recognition via Analysis of Hexoskin Sensor Data and Deep Learning Techniques [Master's thesis, Université de Montréal]. Papyrus. https://umontreal.scholaris.ca/server/api/core/bitstreams/376242d4-cd0e-4c4c-b411-a9317f5cc530/content

Couture, L., Passalacqua, M., Joblot, L., Magnani, F., Pellerin, R., & Léger, P.-M. (2024). Enhancing Operator Engagement during AI-assisted Manufacturing Work Using Optimal State Deviation Feedback System. In Proceedings of the 4th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI 2024) (pp. 232–237). https://sam.ensam.eu/handle/10985/24788

Chowdhury, T. A., Gratz-Kelly, S., Wagner, E., Motzki, P., & Lehser, M. (2024). Ensemble Learning Approach for Advanced Predictive Modeling of Biometric Data and Action States With Smart Sensing. IEEE Access, 12, 139998–140008. https://doi.org/10.1109/ACCESS.2024.3466528

Ding, T. Y., Gagliano, L., Jahani, A., Toffa, D. H., Nguyen, D. K., & Bou Assi, E. (2024). Epileptic seizure forecasting with wearable-based nocturnal sleep features. Epilepsia Open, 9(5), 1793-1805. https://doi.org/10.1002/epi4.13008

MacQuarrie, A., Sidhu, J., Deetlefs, C., Whitfield, S., & Stainer, M. (2024). Establishing the validity and reliability of the Astroskin® Biometric Shirt. Topics in Exercise Science and Kinesiology, 5(1), Article 4. https://doi.org/10.9741/2766-2187.1078

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