Uses machine learning models to analyze ECG signals.
Detects abnormal heart patterns associated with Chagas disease.
Processes large ECG datasets efficiently.
Improves diagnostic support through intelligent analysis.
Automatically processes uploaded ECG signals.
Provides instant prediction results.
Reduces manual analysis time.
Helps in early screening of potential Chagas cases.
Displays ECG waveform for easier interpretation.
Helps users understand heart rhythm patterns.
Allows visual inspection of abnormal signals.
Enhances transparency of the analysis process
Generates results within seconds.
Supports quick preliminary screening.
Helps healthcare professionals save time.
Enables faster decision-making during diagnosis
Simple and intuitive website design.
Easy ECG file upload process.
Clear display of results and analysis.
Accessible for both researchers and medical professionals