Tag Archives: Kardia

AliveCor Kardia™ Band

AliveCor, developer of the Kardia™ Mobile (formerly known as the AliveCor Heart Monitor) FDA-cleared electrocardiogram (EKG) technology for mobile devices, has announced the introduction of the first medical-grade EKG band for the Apple Watch, Kardia™ Band.

  • The Kardia™ Band is pending 510k clearance and is not yet available for sale in the U.S.
  • The Kardia™ Band will be the first medical grade electrocardiogram (EKG) band for the Apple Watch and a breakthrough in proactive heart health.
  • The Kardia ™Band will be able to provide instant EKG analysis. With a touch of the Watch band, the user will know instantly if the heart rhythm is normal or if atrial fibrillation (AF) is detected.
  • The Kardia™ Band and related app will be able to capture heart activity data and relay it to your the user’s healthcare provider to inform their diagnosis and treatment plan.
  • The Kardia™ Band user can use voice memos to keep track of palpitations, shortness of breath, dietary habits and exercise patterns.
  • The Kardia™ Band Integrates with Health app and Google Fit for personal heart health insights.

Great to see wearable health technology growing in usability and accessability.

For more information see:



AliveCor unveils Kardia Band, a medical-grade EKG band for Apple Watch


Cardiogram Seeks to Use Apple Watch in Detecting Atrial Fibrillation

Cardiogram, a healthcare startup, was recently awarded $2M from several angel investors to develop gathering the sensor data from the Apple Watch to aid in detecting atrial fibrillation. The Cardiogram app takes the heart rate data stored in the Health app and organizes it into graphs both real-time and short-term graphs, such as the heart rate over the course of a stressful meeting, and long-term trend graphs, like resting heart rate over time.


Cardiogram has been working with UCSF since March to collect user data in a study called mRhythm and use it to develop an app for detecting atrial fibrillation based on on Apple Watch data. The mRhythm study has gathered more than 10 billion sensor measurements from more than 100,000 contributors over the past six months. The Cardiogram app readings from patients with known ECG confirmed atrial fibrillation are being used to teach the software the heartbeat patterns that correlate with the arrhythmia. Their algorithm can reportedly correctly detect 9 out of 10 cases of atrial fibrillation. However, to be of clinical use, the accuracy must be higher. mRhythm study participants with an AliveCor Kardia device are also being asked to link their Kardia data.


For more information about Cardiogram see:




For more information on the mRhythm Study see: