High-definition heart beat

What makes us different?

Most wearables utilize a very basic heart rate monitor, counting only that a beat occurred. Our approach is different – instead of checking your pulse at all times, we check while you’re still, allowing us to capture high-fidelity, raw Photoplethysmography (PPG) waveforms. These waveforms are the same kind that physicians uses to evaluate the heart’s health. That’s why our device already is being utilized by doctors and clinicians around the world to monitor their patients.

Raw PPG: The source code to your health.
Our clinical-quality PPG sensors allows us to gather extremely precise heartbeat data. Biostrap captures over 2,000 heartbeats every 24 hours. Every single pulsewave is analyzed for 29 different parameters, then analyzed against all of your other heartbeats from the last 24 hours.

Now you can have the same technology your doctor uses.

Blood Oxygen
Saturation
Respiratory Rate
Sleep Analysis &
Custom Insights
100+
Activities

We love collaborating!

Have an interesting project where you’d
like to leverage the Biostrap platform? 

We’d love to hear about it!

Lets work together

References

  • Steinhubl, S.R., "Rationale and design of a home-based trial using wearable sensors to detect asymptomatic atrial fibrillation in a targeted population: The mHealth Screening To Prevent Strokes (mSToPS) trial." American heart journal 175, 2016 : 77-85.

  • Quer, G., "Preliminary Evaluation of a Wrist Wearable Heart Rate Sensor for the Detection of Undiagnosed Atrial Fibrillation in a Real-World Setting", AHA Scientific Sessions, 2017.

  • Magliulo M, Laura C., and Roberto P., "Bluetooth devices for the optimization of patients' workflow in a radiation oncology department." E-Health and Bioengineering Conference (EHB), 2015. IEEE, 2015.

  • Chelu, M., “Changes in physiologic signals during sleep due to arrhythmia”, Heart Rhythm Society, 2016.

  • Chelu, M., “Assessment of pulse wave pressure changes for detection of arrhythmia and comorbidities using a wrist-worn wearable device”, Europace Cardioostim, 2017.

  • Steinberg, B., “Utility Of A Wristband Device As A Portable Screening Tool For Obstructive Sleep Apnea”- AHA Scientific Sessions, 2017.

  • Green, E.M., “Detection of Hypertrophic Cardiomyopathy Using an Investigational Wearable Device and a Machine Learning Classifier”, Late Breaking Sessions - AHA Scientific Sessions, 2017.

  • Doerr M., Eckstein J., “Trial Design of WATCH AF trial –SmartWATCHes for detection of atrial fibrillation”, EP Europace, 2017

  • Dur O, Rhoades C, Ng MS, Elsayed R, van Mourik R, Majmudar MD. “Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder.“, JMIR Mhealth Uhealth. 2018 Oct 16;6(10):e11040. doi: 10.2196/11040.

  • Jarchi D. “Estimation of HRV and SpO2 from Wrist-Worn Commercial Sensors for Clinical Settings”, BHI-BSN, 2018