Cardiogram for Android Wear
Update, August 2018: Cardiogram 2.0 has launched to provide compatibility with the newest versions of Wear OS by Google, which are built on Android P (9.0).
Over the last year, hundreds of thousands of people have used Cardiogram to gain insights into their health on a daily basis—in areas like sleep, fitness, stress, and medical conditions—using wearables like the Apple Watch and Garmin devices.
Today, we’re excited to announce that Cardiogram is finally available on Android Wear! You can download Cardiogram for Android from the Google Play Store today:
https://play.google.com/store/apps/details?id=com.cardiogram.v1
Watches supported
Cardiogram for Android is compatible with any Android Wear watch with a heart rate sensor, including the Huawei Watch, LG Watch Sport, LG Watch Urbane, Moto 360, New Balance RunIQ, Polar M600, Montblanc Summit, and the upcoming Misfit Vapor and Mobvoi Ticwatch.
What insights can Cardiogram tell me?
Cardiogram organizes your wearable sensor data and makes it meaningful and useful.
On the Timeline tab, we show daily minute-by-minute graphs of heart rate that help you monitor your health throughout the day. For example, during restful sleep, you’ll see spikes every 90–120 minutes for your REM cycles. If you have a medical condition, you can use Cardiogram to self-manage the condition or recovery. For example, users have wrote in telling us they use Cardiogram to monitor PTSD, diabetes, sleep apnea, and associated downstream health risks.
On the Metrics tab, you’ll see long term trends of your biometrics—for example, your resting heart rate, step counts, exercise minutes, and sleep duration—over time.
Android specific features
A cool feature we added to Cardiogram for Android is the ability to change frequency of background measurements.
By default, we’ll take a background measurement every 5 minutes, but you can adjust that up or down based on your preferences.
If you’re concerned about battery life, worry not! Our beta testers have reported minimal impact (1–2%) when using the default 5-minute background measurements, and you can always adjust it to fit your needs.
Invite friends—no matter which watch they have!
The great thing about being on multiple platforms like Android Wear, Apple Watch, and Garmin is that you can now invite even more of your friends to join Cardiogram.
For the first time ever, you can invite friends—who use different types of watches—to compete with you in step counts on the Daily Leaderboard.
Or, you can invite friends with different types of watches to join you in a new Daily Habit. You can compare improvements in biometrics over time (for example, resting heart rate) as you keep each other accountable in completing the new Habit each day.
Time to look through your friends list and find all of your friends with a Cardiogram-compatible watch!
UCSF clinical studies: Deep learning to screen for medical conditions
In May of this year, we published clinical results at Heart Rhythm Society’s 38th Annual Scientific Sessions showing that Cardiogram’s deep learning algorithm, DeepHeart, can detect atrial fibrillation with 97% accuracy using data from consumer wearables alone [1].
Our research with UC San Francisco has since expanded to enabling DeepHeart to detect other types of medical conditions. We’ll be sharing more clinical results in the next couple months, so stay tuned!
Future of healthcare: Broadly implement preventive medicine
Today, medicine is mostly reactive: you don’t engage with the healthcare system until you’re sick and often you don’t know you’re sick until the condition has already become severe. [2][3]
We believe that can be changed. We envision a future where preventive medicine is the primary point of engagement, where we can detect nascent signs of a disease and get you to treatment at a much earlier stage, when it’s much easier and cheaper to treat.
The rise of consumer wearables and deep learning makes this future possible, and Cardiogram is at the forefront to help shape and create that future. With the launch of Cardiogram for Android, we hope more people will have access to their wearables health data, organized and presented with meaningful and actionable insights that empower them to prevent severe medical conditions and live a healthier life.
We’re currently experimenting with ways to guide users to treatment after DeepHeart has screened for health risks. If you’re a health insurer or medical provider with our shared vision of the future and looking for partnerships, please email me: johnson@cardiogr.am.
If you’re an engineer, designer, payer relations specialist, or clinician interested in joining our mission, please also email me: johnson@cardiogr.am. We’re hiring!
References
[2] Preventing pre-diabetes from developing into type 2 diabetes will save on average $2,650 in medical expenses: https://www.cms.gov/Research-Statistics-Data-and-Systems/Research/ActuarialStudies/Downloads/Diabetes-Prevention-Certification-2016-03-14.pdf
[3] 10% of all ischemic strokes are caused by undiagnosed atrial fibrillation: http://circ.ahajournals.org/content/135/19/1851.short
