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Real-time visualization of ECG
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Patient-doctor conference through our web app
Inspiration
The Thailand problem appealed to us as third world countires do not have easy access to healthcare services. This was an attempt to introduce an idea, to provide a solution to this problem.
What it does
A platform for remote & real-time EKG relay of data, for a cost-effective and early detection of cardiac disease.
How we built it
We got ECG & PPG anonymized data acquired from Misceo Grand technologies, visualised in side-chart. We employed Web-RTC enabled video calling using Temasys API. Data is accessed using Firebase. Machine learning is used in anomaly detection algorithm, to detect heart-beat anomalies.
Challenges we ran into
The potential of the project is big, and we had to narrow it down to a specific use-case. Additionally, it was a big learning curve in understanding how to interact with the electrophysiology data. Integrating the chart display software into the app was difficult, especially in real-time. It was the team's first time to use Firebase.
Accomplishments that we're proud of
- Setting up video conferencing
- Visualized the data taken from the sensor, on the smartphone screen
- Integrating the Fire-base with our web-app
- Integrating our solution with one of the biggest health and social burdens: heart failure.
What we learned
How to use firebase in creating web hosting apps Create our video calling plartform Anomaly detection with AI Understanding basic ECG and the features in ECG that can be used in anomaly detection.
What's next for Remote Heart Services
Scope of the AI to go for a wide range of diagnostic capabilities in capabilities. Employing deep-learning to understand human behavior, because it To add a voice patient-interaction questionnaire
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