Health Research & Professional Solutions

Health research is an important part of Hexoskin's fabric. Since 2006, part of our mission is to build a community of professionals and researchers who use Hexoskin for connected health projects. Today thousands of professionals & researchers around the world are using the Hexoskin Connected Health Platform for health research, clinical development, security & defense, sports & fitness, space projects. Our user base is growing at a fast pace and uses Hexoskin in several Therapeutic Areas such as Cardiology, Respiratory, Neurology, Mental Disorders, and Pediatrics to name a few.

The Hexoskin Connected Health Platform offers Body-Worn Sensors, Technology Solutions, and Data Analytics to support projects of any sizes.

Hexoskin offers the only clinically validated system that allows precise ECG cardiac monitoring with lung function and activity monitoring over the long-term. We offer a complete end-to-end solution for connected health and professional applications.

Our patented products, software, and data analytics provide the communication tools to help doctors, nurses, and caregivers improve the standards of care for outpatients. Hexoskin is a cost-effective solution to reduce the frequency of patient travel to a care facility and to allow long-term remote monitoring of subjects in their daily activities.

Before you start planning your project, contact us to learn more about how Hexoskin can support you. You can also take a look at our Quick Start page and FAQ.

Hexoskin Smart Shirts Specifications

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

Evaluating a Potential Commercial Tool for Healthcare Application for People with Dementia
Banerjee, T. et al. Kno.i.sis Publications, #1063, 2015.
(Activity, Cardiology, Respiratory)
Aerobic System Analysis based on Oxygen Uptake and Hip Acceleration during Random Over-Ground Walking Activities
Beltrame et al., Am J Physiol Regul Integr Comp Physiol 312: R93-R100, 2017.
(Activity)
Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living
Beltrame, T et al. Sci. Rep. 7:45738, 2017.
(Activity, Respiratory)
Tracking Mental Workload by Multimodal Measurements During Minimally Invasive Surgery Training
Chatty, L. et al. Surg Endosc, 31: S137-S334, #P672, 2017.
(Cardiology, Stress)
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)
Context Aware Adaptable Approach for Fall Detection bases on Smart Textile
Mezghani, N. et al. IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2017.
(Activity)
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.
(Sleep, Cardiology, Activity, Respiratory)
DoppleSleep A Contactless Unobtrusive Sleep Sensing System Using Short-Range Doppler Radar
Rahman, T. et al. UbiComp'15, pp 39-50, 2015.
(Activity, Cardiology, Respiratory, Sleep)
System Safety Analysis of the Opelika Fire Department's Crawling Simulator
Ross Sherman, A. Thesis of Department of Industrial and Systems Engineering, Auburn University, 2015.
(Activity, Respiratory)
Consumer Sleep Monitors: Is There a Baby in the Bathwater?
Russo, K. et al. Nat Sci Sleep. Nov 5; 7:147-57, 2015.
(Sleep)
Biometric Stress Tracking and Analysis During Acute ICU Care Using A Novel Biosensing Garment
Slamon, N. et al. Crit Care Med. 44(12):358, 2016.
(Cardiology, Respiratory, Stress)
A Comparison of Pickleball and Walking, a Pilot Study
Smith, M. et al. Official Journal of American College of Sports Medicine. Vol. 8, No. 5, #356, 2016.
(Activity, Cardiology)
Physiological Features of the Internal Jugular Vein from B-Mode Ultrasound Imagery
Smith, J.P. et al. International Symposium on Visual Computing, Lecture Notes in Computer Science, Vol. 10073, 312-319, 2016.
(Activity, Cardiology, Respiratory)
ADA - Automatic Detection of Alcohol Usage for Mobile Ambulatory Assessment
Sun, P. et al. IEEE International Conference on Smart Computing (SMARTCOMP), 2016.
(Cardiology)
MS-QI- A Modulation Spectrum-Based ECG Quality Index for Telehealth Applications
Tobon Vallejo, D. et al. IEEE Trans Biomed Eng. 63(8):1613-22, 2016.
(Activity, Cardiology)
CHOPIN Continuous Monitoring of Respiration with the Hexoskin Smart Shirt to Detect Dynamic Hyperinflation in COPD Patients
van Leuteren, R.W. Master Thesis of Department of Pulmonology, University of Twente, 2015.
(Respiratory)
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)

Independent Reviews

Efficacy of a Smart Textile Shirt: Developing a Sleep Health Screening Tool for Military Populations
Naval Health Research Center, Warfighter Performance Department, San Diego, CA
Harrison, E.M. et al. SLEEP, Vol. 28, #0384, 2015
(Sleep)
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)
Validation of the Hexoskin wearable vest during lying, sitting, standing and walking activities
Villar, R. et al. Appl Physiol Nutr Metab. 40(10):1019-24, 2015.
(Activity, Cardiology, Respiratory)

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.