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Classification and Regression Trees-based Arrhythmia Predictor for early and remote diagnosis.

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Remote Arrhythmia Diagnosis

A remote cardiac monitoring system for early diagnosis of arrhythmia by using an electrocardiogram-like data acquisition model and irregularity prediction based on decision trees using CART algorithms and backed by a full-stack web application to collect, analyze, store, and transmit data to doctors for final evaluation without the need for appointments and allowing constant surveillance on heart patients.

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Classification and Regression Trees-based Arrhythmia Predictor for early and remote diagnosis.

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  • MATLAB 57.3%
  • EJS 28.8%
  • JavaScript 11.5%
  • Python 1.6%
  • CSS 0.8%