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Early CVD Detection with BPM & ECG
Price: $ 83.50
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![https://pub.mdpi-res.com/sensors/sensors-17-00711/article_deploy/html/images/sensors-17-00711-g015.png?1569282673](https://pub.mdpi-res.com/sensors/sensors-17-00711/article_deploy/html/images/sensors-17-00711-g015.png?1569282673)
Sensors, Free Full-Text
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Omron
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Detecting cardiac pathologies via machine learning on heart-rate
![https://healthcare.omron.com/images/orig/3270.png](https://healthcare.omron.com/images/orig/3270.png)
Early CVD Detection with BPM & ECG
![http://www.dicardiology.com/sites/default/files/Fitbit_Sense_ECG_AF_enabled_smartwatch_wearable_1.jpg](http://www.dicardiology.com/sites/default/files/Fitbit_Sense_ECG_AF_enabled_smartwatch_wearable_1.jpg)
Novel Algorithm on Wearable Devices Can Detect Irregular Heartbeat
![https://ars.els-cdn.com/content/image/1-s2.0-S0022073621001291-gr2.jpg](https://ars.els-cdn.com/content/image/1-s2.0-S0022073621001291-gr2.jpg)
The accuracy of heartbeat detection using photoplethysmography
![https://www.researchgate.net/publication/349312000/figure/fig3/AS:991411021299712@1613382215216/ECG-Sinus-Rhythm-85-bpm-pathological-Q-waves-in-leads-I-aVL-and-the-precordial-lead.png](https://www.researchgate.net/publication/349312000/figure/fig3/AS:991411021299712@1613382215216/ECG-Sinus-Rhythm-85-bpm-pathological-Q-waves-in-leads-I-aVL-and-the-precordial-lead.png)
ECG: Sinus Rhythm, 85 bpm, pathological-Q waves in leads I, aVL
![https://healthcare.omron.com/images/orig/3275.png](https://healthcare.omron.com/images/orig/3275.png)
Omron
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Omron
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AliveCor Launches KardiaMobile Card, World's First Credit-Card
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AWS Cloud technology for near-real-time cardiac anomaly detection
![https://www-assets.withings.com/pages/products/bpm-core/media/hero/bpm-core-hero2.jpg?](https://www-assets.withings.com/pages/products/bpm-core/media/hero/bpm-core-hero2.jpg?)
Smart blood pressure monitor with ECG & digital stethoscope - BPM
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How to Use OMRON's 1st BPM+ECG Monitoring Device for Early CVD
![https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs11936-019-0794-4/MediaObjects/11936_2019_794_Fig1b_HTML.png](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs11936-019-0794-4/MediaObjects/11936_2019_794_Fig1b_HTML.png)
Abnormal ECG Findings in Athletes: Clinical Evaluation and
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Automatic diagnosis of the 12-lead ECG using a deep neural network