Health Research & Professional Solutions

Cardiac sensors

• ECG (1 channel, 256Hz)
• Heart Rate: 30-220 BPM, 1Hz
• QRS event detection: 4ms resolution
• RR intervals: 4ms resolution
• HRV analysis
• Quality assessment channels:
• Disconnection detection
• 50-60Hz noise detection
• Saturated ECG signal detection
• Movement artifact detection
• RRintervals reliability detection

Breathing sensors

• Breathing (2 channels, 128Hz)
• Breathing Rate: 3-80 BPM, 1Hz
• Tidal Volume (last inspiration), 80mL-10L, 1Hz
• Minute Ventilation, 2-150 L/min, 1Hz
• Inspiration and Expiration Events, 8ms resolution
• Quality assessment channels:
• Disconnection detection
• Noise detection
• Baseline change detection

Movement sensors

• Acceleration (3 channels, 64Hz, +/-16g range, 0.004g resolution)
• Activity level 1Hz (0.004g resolution, sensitivity > 0.027g)
• Step counting: 30-240 SPM, reported every step
• Cadence 1Hz (30-240 SPM)
• Energy expenditure estimate (kCal)

Scientific Publications

• Validation of Hexoskin Biometric Technology to Monitor Ventilatory Responses at Rest and during Exercise in COPD
  Abdellah, S.J. I et al. European Respiratory Journal, 50 (Supplement 61), PA1359, 2017
  (Cardiology, Respiratory, User Experience) 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.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.
  (Cardiology, Activity, Respiratory, Cognitive State, 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
  
  
• Acceleration profile of an acrobatic act during training and shows using wearable technology
  Barker, L et al. Sports Biomechanics, 2018 (in press)
  (Activity) Abstract
  
  
• Prediction of Oxygen Uptake and Its Dynamics by Wearable Sensors During Activities of Dail 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.L. 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
  
  
• 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
  
  
• Physiological Data Validation of the Hexoskin Smart Textile
  Cherif, N.H. 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, 2017 (in press). 
  (Activity, Respirastion, 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
  
  
• Resonant Frequency Training in Elite sport: A Case Study Example
  Gross, M.J. 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
  
  
• Efficacity of a Smart Textile Shirt Developing a Sleep Health Screening Tool for Military Populations
  Harrison, E.M. 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.G. et al. Journal of Clinical Sport Psychology, 12(1), 27-38, 2018.
  (Cardiology, Respiratory, Stress) Abstract
  
  
• Evaluation of the Accuracy of Astroskin as a Behavioral Health Self-Monitoring System for Spaceflight
  Kumar, A. et al. NASA Technical Reports Server (NTRS), #20150021842, 2015.
  (Cardiology, Respiratory, User Experience) Abstract
  
  
• 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.
  (Cardiac, Fatigue) 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
  
  
• 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. 
  Mounzoune, I. Master thesis of the Department of Clinical Sciences, Université de Sherbrooke, 2018 (French).
  (Cardiology, Respiratory, Activity) Master Thesis
  
  
• 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 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. Journal of Sleep Research, 2018.
  (Sleep, Cardiology, Respiratory, Activity, User Experience) Abstract
  
  
• 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
  
  
• Training Related Risk Factors of Firefighters
  Salar 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.A. 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.R. 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.P. 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.D. 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.S.L. 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
  
  
• Suitability of Smartshirt by Hexoskin to Monitor Heart Rate for Racket Sports
  Tan, D.Y.W. 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.W. 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.W. et al. European Respiratory Journal (supplement 61), PA2214, 2017.
  (Respiratory) 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.M. 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 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.L. 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.L. et al. Official Journal of American College of Sports Medicine. Vol 8, No. 5, #1137, 2016.
  (Cardiology) Abstract
  
  
• Preliminary Investigation of Movement-Heart Rate Relationship Using Kinect-Based Badminton Performance Analysis
  Yong, T.H. et al. International Conference on Robotics, Automation and Sciences (ICORAS), 2017
  (Cardiology) Abstract
  

Pubmed Indexed Articles (TBD)

• 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
  
  
• Extracting Aerobic System Dynamics during Unsupervised Activities of Beltrame, T. et al. 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. 
  (Respiratory, User Experience) 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, Respiration) Abstract
  
  
• Validity and Reliability of the Hexoskin Wearable Biometric Vest during Maximal Aerobic Power Testing in Elite Cyclists
  Elliot, C.A. et al. Journal of Strenght and Conditioning Research, 2017. 
  (Cardiology, Respiratory) Abstract
  
  
• A New Global and Comprehensive Model for ICU Ventilator Performances Evaluation
  Marjanovic, N.S. et al. Annals of Intensive Care, 7:68, p. 1-13, 2017.
  (Cardiology, Respiratory, Stress) Abstract
  
  
• Development and Validation of an Algorithm for the Study of Sleep Using a Biometric Shirt in Young Healthy Adults
  Pion-Massicotte, J. et al. Journal of Sleep Research. 2018 (in press)
  (Sleep, Cardiology, Respiratory, Activity, User Experience) Abstract
  
  
• MS-QI - A Modulation Spectrum-Based ECG Quality Index for Telehealth Applications
  Tobon Vallego, D. et al. IEEE Transactions on Biomedical Engineering, 63(8), p. 1613-22, 2016.
  (Activity, Cardiology) Abstract
  
  
• Validation of the Hexoskin Wearable Vest during Lying, Sitting, Standing, and Walking Activities
  Villar, R. et al. Applied Physiology, Nutrition, and Metabolism, 40(10), p. 1019-24, 2015. 
  (Activity, Cardiology, Respiratory, User Experience) Abstract

Managing multiple users

• If you plan on using Hexoskin with multiple subjects, please have a look at these instructions on how to manage their accounts and data.
• Make sure your subjects follow these tutorial videos on how to wear the garment and avoid damaging it 

Data Analysis Software

We recommend using VivoSense advanced physiological data analysis software to visualize the data collected by Hexoskin. VivoSense's 400+ customers include organizations like the Mayo Clinic, the Massachusetts General Hospital, MIT, and US Army and Air Force research labs. It allows you to import and export of data, batch processing, and to produce ready-to-publish graphs of your result. Learn more about VivoSense with Hexoskin.

Research and Academic Partners

Find a list of our research and academic partners here.