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.
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For more information on the mRhythm Study see: