Direct Contact Channels
Main Switchboard
+880 1633-040670
Available 24/7 for urgent clinical inquiries
Email Support
shaon.iit52@gmail.com
Response within 24 hours on business days
Technical Assistance
shaon.iit52@gmail.com
For issues with the portal or AI modules
Office Hours
Open 24 Hours
Available every day for clinical support
Frequently Asked Questions
After logging in, navigate to the ECG Test section in your dashboard. You can drag and drop or browse to upload a .csv or .txt ECG file recorded at 360 Hz. The AI will automatically clean, segment, and classify your signal into one of 8 cardiac conditions.
HealthBridge accepts .csv and .txt files containing raw ECG samples. The file must contain at least 3,600 samples (10 seconds of recording at 360 Hz). Files recorded using our Arduino + AD8232 hardware kit are directly compatible.
The ECG classification model is trained on the MIT-BIH Arrhythmia Database, PTB-XL, and CPSC 2018 datasets using a ResNet1D architecture. The disease prediction model uses vital signs and symptom data. Both models are research-grade tools intended to assist — not replace — clinical diagnosis. Always consult a qualified physician for medical decisions.
Click the Login / Register button on the homepage. Use a Patient ID starting with PAT- to register as a patient, or a Doctor ID starting with DOC- to register as a doctor. Each role provides access to a separate dashboard with relevant features.
Yes. Registered doctors can search for patients by name or Patient ID and view their full report history including ECG analysis, disease prediction results, and risk scores. Doctors can also send clinical feedback and prescriptions directly through the platform.
All health data is stored in a MongoDB Atlas cloud database with restricted access. Data is transmitted over HTTPS with SSL encryption. Only authenticated users can access their own records, and only verified doctors can view patient reports.
The first request after a period of inactivity may take up to 60 seconds as the server initializes. Subsequent analyses are significantly faster. If the issue persists, please contact technical support at shaon.iit52@gmail.com or send a WhatsApp message to +880 1633-040670.
All your AI Predictor and ECG test reports are saved automatically after each analysis. Log in to your patient dashboard and navigate to My Reports to view your full history, including condition classifications, risk scores, and doctor prescriptions.
Our Location
