Calibrated Signal Conversion
Convert raw ADC samples into voltage-accurate traces with customizable sampling rates, durations, and reference voltages tailored to your acquisition hardware.
Digital ECG Insights for African Healthcare Innovators
Empower screening programs, telemedicine teams, and academic labs with a browser-based ECG toolkit designed to respect African contexts. Streamline how you convert acquisition data, visualize patient rhythms, and share interpretable results for collaborative clinical decisions.
Interactive ECG Visualization
Upload MIT-BIH style .HEA and .DAT or .MAT pairs to render crisp ECG waveforms online, making it simple to detect artifacts before clinical reviews or publication.
Configurable Wavelet Analysis
Select continuous or packet wavelet transforms to detect PQRST complexes, compare multiple leads, and export annotated findings for research and care teams.
Three-Step ECG Workflow
Follow the guided flow below to process raw data, generate publication-ready visuals, and run automated wavelet-based diagnostics tuned for African clinical and research environments.
📊 Phase 1: Process ADC Values
📈 Phase 2: Plot ECG Waveform
🩺 Phase 3: Analyze Uploaded ECG
🔄 Processing Status
📥 Download Generated Files
📈 ECG Waveform Visualization
🔄 Analysis Status
🩺 ECG Analysis Results
Frequently Asked Questions
What ECG file formats are supported?
Upload paired .HEA headers with .DAT or .MAT signal files that follow PhysioNet/MIT-BIH style conventions. The processor will map leads, sampling rates, and annotations automatically.
How accurate is the wavelet-based detection?
The platform uses configurable continuous and packet wavelet transforms to identify PQRST complexes. Select the mode that matches your signal quality, then review annotated outputs before making clinical calls.
Can I export processed signals and analysis results?
Yes. Once processing finishes, download the regenerated .HEA file and data file, along with plots and textual summaries you can archive or share with collaborators.
Does the tool run entirely in the browser?
Processing and analysis are orchestrated through a secure backend so you can perform heavier ECG computations without overloading local devices while keeping data scoped to your session.