Arrhythmia Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Arrhythmia ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Arrhythmia Projects
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Deep Representation Learning With Sample Generation and Augmented Attention Module for Imbalanced ECG Classification
This project focuses on building a smart system to monitor heartbeats and detect irregular heart patterns. It uses a new deep learning method to identify abnormal beats more accurately. The system improves learning by balancing data and paying more attention to important heartbeat features. Tests show it works well on real heartbeat data and can help detect arrhythmias effectively. -
CardioGPT An ECG Interpretation Generation Model
This project uses CardioGPT to read and interpret heart signals from ECGs. It explains the results in simple language like a doctor would. The model accurately detects heart problems and performs better than older AI models.
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