MyPHD (My Personal Health Dashboard) is an open-source software framework built by researchers to support big biomedical data acquisition, storage, and real-time analysis with minimum configuration effort.
The solution for running successful large-scale biomedical research with wearable and multiomics data.
Scroll to see commonly used wearable devices that are compatible.
Typography
Check data resolution for wearable devices.
10,000+ people are participating in a MyPHD supported study now.
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Features tailored to your study design
Package 1
Wearable data collection
Survey collection
Data analysis
Customized requests
Package 2
Wearable data collection
Survey collection
Data analysis
Customized requests
Package 3
Wearable data collection
Survey collection
Data analysis
Customized requests
Package 4
Wearable data collection
Survey collection
Data analysis
Customized requests
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Everything you need for a successful study
Platform dedicated mobile app
MyPHD mobile app collects wearable data, surveys, and to visualize personalized health information to each research participant. The app is developed using native approach to prioritize privacy considerations, available on App Store and Google Play.
Data visualization
Personalized data analysis results are visualized on the PHD app. It allows research participants to manage their health in real time.
e-Consent
Participants can complete electronic consent on MyPHD app.
Device-agnostic Integrations
Research teams can collect wearable data, such as Heart Rate, Heart Rate Variability, Blood Oxygen Level, Sleep, Skin Temperature, Steps, Respiration Rate, etc. Our data collection APIs can be further customized based on the limitations around every device.
Wearable data collection
The MyPHD app collects both historical data and real-time wearable data that makes data from months ago to the last hour available to your team.
Customized surveys
We work closely with your team to create user friendly surveys to collect good quality data and to keep retention high.
Customized data integration
The platform offers unique capability to integrate multi-omics data.
Real-time alarming
Personalized data analysis results are visualized on the MyPHD app for research participants to manage their health in real-time.
AI/ML algorithms development
Our team of computer scientists provide support with developing and validating algorithms using novel datasets.
Learn about data resolution dependent on devices
Apple
Series 6 Series 7 |
Fitbit
Sens Versa 
|
Garmin
Fenix 5
|
Motiv
Motiv Rings
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Qura
Oura Ring3
|
Polar
H10
|
SensOmics
Gen 3
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|---|---|---|---|---|---|---|---|---|
| Blood Pressure | Every 5 sec | |||||||
| Breathing Rate | Every 1 - 20 min | Every 24 hr | 24 hr | Every 24 hr | ||||
| ECG | 512 HZ | 250 HZ | 125 hz | |||||
| Heart Rate | Every 1 - 10 min | Every 5 - 15 sec | Every 2 min | Every 1-10 min | Every 1 sec | Every 1 - 10 sec | ||
| Heart Rate Variability | Every 30 - 240 min | Every 30 - 270 min | Every 5 min | Every 5 min | ||||
| Sleep |
|
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In Bed, Asleep | In Bed, Asleep | Sleep,Deep | |||
| Steps | Every 1 - 30 min | Every 1 min | Every 15 min | Every 5 sec | ||||
| SpO2 | Every 30 - 180 min | Every 30 - 270 min | Every 1 min | Every 5 sec | ||||
| Temperature | Every 24 hr | Every 1 min |
Interested in incorporating Personal Health Dashboard (PHD) in your research study?
Why researchers support us
We are excited by how the MyPHD system has both enabled our pediatric kidney, heart, liver, and lung transplant clinical research studies, as well as opened up new creative avenues for research design.
Dr. Brendan Keating
Research Lead of Penn/CHOP Transplant Study
Associate Professor at University of Pennsylvania
The MyPHD development team has done impressive technical work to create a secure and performant open source wearable platform. The platform has proven its usability to the research community for a growing number of studies.
Dr. Somalee Datta
Director of Stanford Research IT
We are fascinated with MyPHD app that retrieves both wearable and survey data. It is easy to use and very secure. It is a great platform to practice precision health.
Dr. So-Min Cheong
PI on Wildfire Smoke and Cardiovascular Health Study
Associate Professor at Texas A&M University
Engaged study participants
“I enjoy getting feedback and having a sense of comfort that it may detect the virus sooner than without.”
Study participant @ Google Play 12/18/2020
“Love the app design and user-friendly interface! Great way to see all of my health data in one place and record how I am feeling, as well as contribute to science!”
Study participant @ App Store 10/26/2020
“This application works great!… I’m very excited to see what the future holds regarding this technology!”
Study participant @ Google Play 1/24/2021
“Excited to see the future of digital medicine emerging.”
Study participant @ App Store 11/25/2020
“Like this study. I connected my Fitbit device and check daily symptoms”
Study participant @ Google Play 11/20/2020
Interested in incorporating Personal Health Dashboard (PHD) in your research study?
