High-definition hjerterytme

Hvad gør os anderledes?

De fleste wearables bruger en meget grundlæggende pulsmåler, der kun tæller, at der blev opstået et slag. Vores tilgang er anderledes - i stedet for at kontrollere din puls på alle tidspunkter, tjekker vi, mens du stadig er, så vi kan fange high-fidelity, rå Photoplethysmography (PPG) bølgeformer. Disse bølgeformer er af den samme art, som læger bruger til at evaluere hjertets helbred. Derfor bruges vores enhed allerede af læger og klinikere overalt i verden til at overvåge deres patienter.

Raw PPG: Kildekoden til dit helbred.
Vores kliniske kvalitet PPG sensorer giver os mulighed for at indsamle ekstremt præcise hjerteslagsdata. Biostrap fanger over 2.000 hjerteslag hver 24 timer. Hver enkelt pulsbølge analyseres for 29 forskellige parametre og analyseres derefter mod alle dine andre hjerteslag fra de sidste 24 timer.

Nu kan du have den samme teknologi, som din læge bruger.

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Referencer

  • 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