If you are looking for help for telehealth programs or COVID-19 home monitoring programs please contact us today: contact@hexoskin.com / 1-888-887-2044

With over 85 Scientific Publications, the Hexoskin Connected Health Platform is the fastest growing platform to collect high-resolution real-world evidence. Our clients benefit from accessible solutions such as the Hexoskin Dashboards, Open API, and Apps to manage, visualize, analyze, and export raw & processed health data. Our data extraction tools allow the extraction of the raw data with time series for Machine Learning (ML) and Artificial Intelligence (AI) projects.  

The Hexoskin Smart Garments are clinically validated and are developed involving patients & clients to be comfortable and easy to use. Professionals & Researchers from Universities, Research Institutions, Colleges, and Hospitals around the world are using the Hexoskin Connected Health Platform for Health research, Clinical development, First responders, and Aerospace projects to monitor vital signs. The subjects and uses cases are limitless in Cardiology, Respiratory, Neurology, Pediatrics, Mental Disorders, Rare Diseases, Stress Monitoring, Sleep, AI & ML research. 
 

Hexoskin the Leading Platform for Health Research

Hexoskin is a cost-effective solution to reduce the travel frequency of patients and study participants. The high-resolution data can be retrieved remotely to allow long-term home monitoring of subjects in their daily activities.

The Hexoskin Connected Health Platform offers comfortable Smart Clothing that collects continuous EKG, Respiratory, and Activity data. Hexoskin offers the only clinically validated system that allows precise electrocardiography with textile ECG sensors. Hexoskin is used to monitor the Heart Rate Variability (HRV) of nurses & health practitioners, law enforcement, and first responders to detect stress physiological markers. The textile-embedded Respiratory Inductance Plethysmography (RIP) Thoracic and Abdominal RIP sensors are the only portable solution to assess the lung function continuously combined with a 3-axis accelerometer to monitor daily and sleep activities. Our clients can leverage the precise processed and raw data collected with our end-to-end solutions for research, connected health, and professional applications. 

Contact us to learn more about how Hexoskin can support you. 

Download our Product Specifications for Hexoskin and Astroskin

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Hexoskin-Astroskin Connected Health Platforms

Hexoskin White Papers & Downloads

• (NEW) Continuous Respiratory Monitoring with Hexoskin, 2020. Download
• Implementing Home-based Pulmonary Rehabilitation Programs with Hexoskin, 2019, Download
• Monitoring Sleep with Hexoskin, 2019. Download
• (NEW) Predicting & Preventing Operational Stress Injuries Using the Hexoskin Connected Health Platform, 2020. Download
• Estimating Sizes of Hexoskin Garments for Clinical Populations, 2020. Download
• Astroskin Product Specifications, 2020. Download
  
  

Scientific Publications with Hexoskin

Hexoskin is the industry-leading smart clothing and platform for health research, clinically validated and used in 85 scientific publications.

• Validation of Hexoskin Biometric Technology to Monitor Ventilatory Responses at Rest and during Exercise in COPD.
  Abdellah, S. et al. European Respiratory Journal, 50 (Supplement 61), PA1359, 2017.
  (Cardiology, Respiratory, User Experience) Abstract
  
  
• Remote vital signs monitoring using a mm-wave FMCW radar.
  Alizadeh, M. Master thesis of the Department of Electrical and Computer Engineering at the University of Waterloo, 2019.
  (Cardiology, Respiratory) Abstract
  
  
• Validation of a Wearable Biometric System's Ability to Monitor Heart Rate in Two Different Climates under Variable Physical Activities.
  Al Sayed, C. et al. E-Health Telecommunications Systems and Networks, 6(2), 19-30, 2017.
  (Cardiology) Abstract
  
  
• Early Detection and Self-management of Long-term Conditions Using Wearable Technologies.
  Baig, M. Master Thesis of School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, 2017.
  (Activity, Cardiology) Master Thesis
  
  
• Evaluating a Potential Commercial Tool for Healthcare Application for People with Dementia.
  Banerjee, T. et al. Kno.e.sis Publications, #1063, 2015.
  (Activity, Cardiology, Cognitive State, Respiratory) Abstract
  
  
• Validating a Commercial Device for Continuous Activity Measurement in the Older Adult Population for Dementia Management.
  Banerjee, T. et al. Smart Health, 5-6, P. 51-62, 2018.
  (Activity, Cardiology, Cognitive State, Respiratory, User Experience) Abstract
  
  
• Measuring Acceleration of a Trampoline Circus Act during Training and In-Show Using Wearable Technology.
  Barker, L. et al. Medicine & Science in Sports & Exercise. 49(5S):763, #193, 2017.
  (Activity) Abstract
  
  
• Prediction of Oxygen Uptake and Its Dynamics by Wearable Sensors During Activities of Daily Living.
  Beltrame, T. Thesis of the Department of Kinesiology, University of Waterloo, 2016.
  (Activity, Respiratory) Thesis
  
  
• Aerobic System Analysis Based on Oxygen Uptake and Hip Acceleration during Random Over-Ground Walking Activities.
  Beltrame, T. et al. American Journal of Physiology - Regulatory, Integrative and comparative Physiology, 312(1), p. R93-R100, 2017.
  (Activity) Abstract
  
  
• Prediction of Oxygen Uptake Dynamics by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living.
  Beltrame, T. et al. Scientific Reports. 7, p. 45738, 2017.
  (Activity) (Respiratory) Abstract
  
  
• Extracting Aerobic System Dynamics During Unsupervised Activities of Daily Living using Wearable Sensor Machine Learning Models.
  Beltrame, T. et al. Journal of Applied Physiology, (124)2, p. 473-481, 2018
  (Activity) (User Experience) Abstract
  
  
• Adaptive Eulerian Video Magnification Methods to Extract Heart Rate from Thermal Video.
  Bennett, S et al. IEEE International Symposium on Medical Measurements and Applications (MeMeA 2016), 2016.
  (Cardiology) Abstract
  
  
• Effect of Cardiac Coherence Training on Real-Life Stressors. 
  Bläsing, D. et al. 63rd Spring Congress of the Society for Ergonomics at the University of Applied Psychology, 2017.
  (German) (Cardiology, Respiratory, Stress) Abstract
  
  
• A Mobile Application for Physical Activity Recognition using Acceleration Data fromWearable Sensors for Cardiac Rehabilitation.
  Chaari, M. et al. 13th International Conference on Health Informatics (HEALTHINF2020 Book of Abstracts), #84, 2020.
  (Activity, User Experience) Abstract

• Tracking Mental Workload by Multimodal Measurements During Minimally Invasive Surgery Training.
  Chatty, L. et al. Surgical Endoscopy, 31: S137-S334, #P672, 2017.
  (Cardiology, Stress) Abstract
  
  

• Physical Activity Classification using a Smart Textile.
  Cherif, N. et al. 2nd IEEE Life Sciences Conference, 2018.
  (Activity, User Experience) Abstract
  

• Physiological Data Validation of the Hexoskin Smart Textile.
  Cherif, N. et al. Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 1, p.150-156, 2018.
  (Cardiology, Respiratory) Abstract
  
  
• Validity and reliability of the Hexoskin Wearable Biometric Vest during Maximal Aerobic Power Testing in Elite Cyclists.
  Elliott, C.A et al. Journal of Strenght and Conditioning Research, 33(5):1437-1444, 2019. 
  (Activity, Respiration, Cardiology) Abstract
  
  
• Fundamental study of a visceral pericardial osteopathic protocol on heart physiology.
  

  Fatisson, J. Master Thesis, of Collège d’Études Ostéopathique de Montréal, 2018.
  (French) (Cardiology) Abstract
  

• Assessing Physiological Function During a High-Altitude Hike using Real-time Monitoring.
  Fox, N. et al. Medicine & Science in Sport & Exercise. 49(5S), p. 764, #197, 2017.
  (Activity, Cardiology) Abstract
  
  
• Acute Mental Stress and Surgical Performance.
  Grantcharov, P. et al. British Journal of Surgery Open, 3:119-125, 2019.
  (Cardiology, Stress) Abstract
  
  
• Resonant Frequency Training in Elite sport: A Case Study Example.
  Gross, M. et al. Journal of Sport Psychology in Action, 8(3), p. 173-183, 2017.
  (Respiratory) Abstract
  
  
• Control Mechanism Modeling of Human Cardiovascular-Respiratory System.
  Gutta, S. et al. IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015. 
  (Cardiology, Respiratory, Sleep) Abstract
  
  
• Convergent Validity and Relative Reliability of Hexoskin during a Maximal Field Test.
  Haddad, M. et al. Medicine & Science in Sports & Exercise. 51(6), #61, 2019.
  (Cardiology) Abstract
  
  
• Efficacity of a Smart Textile Shirt Developing a Sleep Health Screening Tool for Military Populations.
  Harrison, E. et al. Journal of Sleep and Sleep Disorders Research, 38, p. 124, #0384, 2015.
  (Sleep, User Experience) Abstract
  
  
• Positive Effects of Diaphragmatic Breathing on Physiological Stress Reactivity in Varsity Athletes.
  Hunt, M. et al. Journal of Clinical Sport Psychology, 12(1), 27-38, 2018.
  (Cardiology, Respiratory, Stress) Abstract
  
  
• Testing the Impact of Sympathetic Response on Police Performance During Critical Job Tasks.
  James, L. et al. Provicta News/Library, 2020.
  (Cardiology) Abstract 
  
  
• A Novel and Global Approach of ICU Ventilator Ergonomics. 
  L'Her, E. et al. Annals of Intensive Care, 7(Supplement 1):8, P.110, 2017.(Cardiology, Respiratory, Stress) Abstract
  
  

• The Association of Uncertainty Tolerance and Task Appraisal on Law Enforcement Student Stress and Performance.
  Landry, C. Bachelor Thesis of the Department of Psychology at the University of Regina, 2019.
  (Cardiology, Respiratory, Cognitive State, Stress) Bachelor thesis

• Aircraft deicing in open baskets: Study of the effects of activities on heart rate variability.
  Le Floch, T et al. 64th Work Science Congress FOM University of Economics & Management, Article 4.4, 2018.
  (Cardiology, Fatigue) Abstract

• Ergonomie du dégivrage aéronautique en nacelles ouvertes.
  Le Floch, T. Master thesis of the department of Mechanical Engineering at École de Technologie Supérieure, 2018 (French).
  (Cardiology, Fatigue) Master thesis
  
  
• Feasibility of the Hexoskin Biometric Shirt use in a focused Breathing Study.
  Lemoine, D. Conference Proceedings: Annual TLSAMP Research Conference, #1620, 2019.
  (Respiratory, Cognition) Abstract
  
  
• Evaluating Association between Air Pollution and Cardiovascular Outcomes Using Smartphone Particle Sensors and Wearable Technologies in Children.
  Lim et al. ISES-ISEE 2018 - Environmental Health Perspectives (ISEE Conference Abstracts), Vol. 2018, No. 1, 2018.
  (Respiratory) Abstract
  
  

•  Fit for Duty: Context and Correlates of Paramedic Health Status and Job.
  McQuarrie, A. Doctoral thesis of the Department of Biomedical Sciences, Charles Sturt University, 2019.
  (Cardiology, Respiratory, Activity, Stress, Validation) Thesis
  

• Fit for Duty: Shedding Light on Paramedics’ Health via Research Methodologies.
  McQuarrie, A. Doctoral thesis of the Department of Biomedical Sciences, Charles Sturt University, 2019. 
  (Cardiology, Respiratory, Activity, Stress, Cognitive State, Fatigue) Thesis

• Tidal volumes during tasks of daily living measured with a smart shirt.
  Mannée, D. et al. Conference Proceedings: European Respiratory Society International Congress, #PA2228, 2019.
  (Respiratory) Abstract
  
  
• A New Global and Comprehensive Model for ICU Ventilator Performances Evaluation. 
  Marjanovic, N.S. et al. Annals of Intensive care , 7:68, p1-13, 2017.(Cardiology, Repiratory, Stress) Abstract
  
  

• Context Aware Adaptable Approach for Fall Detection based on Smart Textile.
  Mezghani, N. et al. IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2017), 2017.
  (Activity) Abstract

• Hexoskin Intelligent Textile Criterion Validity to Assess Cardiopulmonary Function in a Healthy Population. 
  Mouzoune, I. et al. 2nd Quebec Congress in Adaptation-Rehabilitation Research Abstract book, p. 78, #128, 2017.
  (French) (Cardiology, Respiratory) Abstract
  
  
• Validité du critère du textile intelligent Hexoskin pour évaluer la fonction cardiorespiratoire chez une population en santé. 
  Mouzoune, I. Master thesis of the Department of Clinical Sciences, Université de Sherbrooke, 2018.
  (French) (Cardiology, Respiratory, Activity) Master Thesis
  
  
• Tracking Team Mental Workload by Multimodal Measurements in The Operating Room.
  

  Omurtag, A. et al. Neuroergonomics 1st Edition - The Brain at Work and in Everyday Life, 2018.
  (Cardiology, Stress) Abstract

• A Prospective Study of Physician Biometric Measurements Using a Wearable Performance Tracking Device.
  Parker, R. et al. International Pediatric Simulation Book of Abstracts (IPSSW2017), p. 225, PO 16-6, 2017.
  (Cardiology, Respiratory, Stress) Abstract
  
  
• A Prospective Study of Biometric Parameters of Critical Care Practitioners during Simulation.
  Parker, R et al. Critical Care Medicine, 46, number 1 (supplement), p.188, #411, 2018.
  (Cardiology, Stress) Abstract
  
  
• Reliability and Validity of the Hexoskin Wearable Body Metrics Telemetry Shirt.
  Philips, M.B. et al. Journal of Sport and Human Performance, 5(2), 2017
  (Activity, Cardiology, Respiratory) Abstract
  
  
• Mise au point et Validation d'un Algorithme pour Caractériser le Sommeil à l'aide du Vêtement Intelligent Hexoskin.
  Pion-Massicotte, J. Master Thesis of Institute of Biomedical Engineering, Polytechnique Montréal, 2014.
  (French) (Activity, Cardiology, Respiratory, Sleep) Master Thesis
  
  
• Development and Validation of an Algorithm for the Study of Sleep using a Biometric Shirt in Young Healthy Adults.
  Pion-Massicotte, J. et al. SLEEP - Official Publication of the Sleep Research Society (Abstract Supplement), 40, p. A24, #0069, 2017.
  (Activity, Cardiology, Respiratory, Sleep) Abstract
  
  
• Validation and Responsiveness of Wearable Biometric Technology to Monitor Cardiac and Ventilatory Parameters at Rest and During Exercise in COPD.
  Raffoul, D. Master Thesis of the Department of Kinesiology and Physical Education, 2019.
  (Cardiology, Respiratory) Request Master Thesis
  
  
• DoppleSleep A Contactless Unobtrusive Sleep Sensing System Using Short-Range Doppler Radar.
  Rahman, T. et al. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UniComp'15), p.39-50, 2015.
  (Activity, Cardiology, Respiratory, Sleep) Abstract
  
  
• Analyzing Physiologic Markers as Surrogates for Provider Stress & Distress for Participants in a Procedural Training Bootcamp.
  Redmond,  B. et al. Society for Simulation in Healthcare, 14(4), #201, 2019
  (Cardiology, Respiratory, Stress) Abstract
  
  
• Training Related Risk Factors of Firefighters.
  Salar, M. et al. SAGE Journal - Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61(1), p. 1844-1847, 2017.
  (Activity, Respiratory, Stress) Abstract
  
  
• Gait Analysis from Wearable Devices Using Image and Signal Processing.
  Schneider, B. Master Thesis of the Department of Computer Science and Engineering, Wright State University, 2017
  (Activity, User Experience) Master Thesis
  
  
• System Safety Analysis of the Opelika Fire Department's Crawling Simulator.
  Sherman, A. Thesis of Department of Industrial and Systems Engineering, Auburn University, 2015.
  (Activity, Respiratory, Stress) Thesis
  
  
• Biometric Stress Tracking and Analysis During Acute ICU Care Using a Novel Biosensing Garment.
  Slamon, N. et al. Critical Care Medicine, 44, number 12 (supplement), p.358, #1131, 2016.
  (Cardiology, Respiratory, Stress) Abstract
  
  
• Analysis of Heart Rate and Heart Rate Variability during Live Pediatric Intensive Care Activities. 
  Slamon, N. et al. Critical Care Medicicine, 46, number 1 (supplement), p. 103, #241, 2018.
  (Cardiology, Respiratory, Stress) Abstract
  
  
• A prospective Pilot Study of the Biometrics of Critical Care Practitioners during Live Patient Care using a Wearable «Smart Shirt».
  Slamon, N. et al. Journal of Intensive and Critical Care, 4(2), p.10, 2018. (Cardiology, Respiratory, Stress) Abstract
  
  
• A Comparison of Pickleball and Walking, a Pilot Study.
  Smith, M. et al. Official Journal of American College of Sports Medicine. 48(5S), p. 93-94, #356, 2016.
  (Activity, Cardiology) Abstract
  
  
• Physiological Features of the Internal Jugular Vein from B-Mode Ultrasound Imagery.
  Smith, J. et al. ISVC: International Symposium on Visual Computing, 10073, p.312-319, 2016.
  (Activity, Cardiology, Respiratory) Abstract
  
  
• Comparison of Physiological Demands of Basketball Practice Sessions to a Pre-season Game.
  Speckhard, A. et al. Medicine & Science in Sport & Exercice. 49(5S), p. 622, #240, 2017.
  (Activity, Cardiology) Abstract
  
  
• Police Decision-Making - the Impact of choice on use-of-force decisions. 
  Summerfield, T. Master Thesis of Department of Psychology, University of Regina, 2017.
  (Cardiology) Master Thesis
  
  
• ADA - Automatic Detection of Alcohol Usage for Mobile Ambulatory Assessment.
  Sun, P. et al. IEEE International Conference on Smart Computing (SMARTCOMP), 2016.
  (Cardiology, Cognitive State, User Experience) Abstract
  
  
• Validation of Wired and Wireless Interconnected Body Sensor Networks. 
  Talpur, A. et al. Sensors, 19(17), 2019.
  (Cardiology) Abstract
  
  
• Suitability of Smartshirt by Hexoskin to Monitor Heart Rate for Racket Sports.
  Tan, D. et al. International Conference on Robotics, Automation and Sciences (ICORAS 2017), 2017.
  (Cardiology) Abstract
  
  
• MS-QI - A Modulation Spectrum -Based ECG Quality Index for Telehealth Applications.
  Tobon Vallejo, D. et al. IEEE Transactions on Biomedical Engineering, 63(8), p. 1613-22, 2016.
  (Cardiology) Abstract
  
  
• Continuous Monitoring of Respiration with the Hexoskin Smart Shirt to Detect Dynamic Hyperinflation in COPD Patients, the CHOPIN study.
  van Leuteren, R. Master Thesis of the Department of Pulmonology, University of Twente, 2016.
  (Respiratory, User Experience) Master Thesis
  

• Detecting Dynamic Hyperinflation in COPD Patients Using a Smart Shirt: A Pilot Study.
  van Leuteren, R. et al. European Respiratory Journal (supplement 61), PA2214, 2017.
  (Respiratory) Abstract
  
  
• Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts.
  Vollmer, M. et al. Conference Proceedings: Computing in Cardiology, 2019. (Cardiology) Abstract
  
  
• Predicting Cognitive States from Wearable Recordings of Autonomic Function.
  Webster, E. et al. IBM Journal of Research and Development, 61, (2/3), p. 2:1-2:11, 2017.
  (Cognitive State) Abstract
  
  
• AMD Analysis of Mood Dysregulation.
  Wergeles, N. Master thesis of Department of Computer Science, University of Missouri-Columbia, 2016.
  (Cognitive State) Master Thesis
  
  
• The Psychology of Paragliding Flight at Moderate and Extreme Altitudes.
  Wilkes, M. et al. High Altitude Medicine & Biology, 19(1), p. 42-51, 2018
  (Cardiology, Respiratory, Stress) Abstract
  
  
• Heart Rate Variability Compared in a Trained and Untrained Population under Normoxic and Hypoxic Conditions.
  Wilson, S. Thesis of the Department of Kinesiology, California State University, 2015.
  (Cardiology) Thesis
  
  
• Heart Rate Variability in Aerobically Trained Subjects vs. Untrained Subjects in Hypoxic and Normoxic Conditions.
  Wilson, S. et al. Official Journal of American College of Sports Medicine. Vol 8, No. 5, #1137, 2016.
  (Cardiology) Abstract
  
  
• Investigation of relation between Sport's Motion and Heart Rate Variability (HRV) Based on biometric parameters.
  Yiiong, S. et al. IOP Conference Series: Materials Science & Engineering, #495, 2019.
  (Cardiology, Activity) Abstract
  
  
• Preliminary Investigation of Movement-Heart Rate Relationship Using Kinect-Based Badminton Performance Analysis.
  Yong, T. et al. International Conference on Robotics, Automation and Sciences (ICORAS), 2017
  (Cardiology) Abstract
  
  
• Changes in Respiration Pattern Preceding Drowsiness During Driving.
  Yuda, E. et al. The 6th International Symposium on Affective Science and Engineering (ISASE 2020 Abstract Book), 1-A-1, 2020. (Abstract)