Department Of Robotics And Automation Equipment 1

1. AN INTERPRETABLE ECG-BASED APPROACH FOR DETECTING HEMODYNAMICALLY SIGNIFICANT ARRHYTHMIAS USING LIGHTWEIGHT MACHINE LEARNING MODELS
2. AN INTERPRETABLE ECG-BASED APPROACH FOR DETECTING HEMODYNAMICALLY SIGNIFICANT ARRHYTHMIAS USING LIGHTWEIGHT MACHINE LEARNING MODELS
3. A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring
4. Stability analysis of a сlosed non-linear system “FC-BM” of the electric drive of an electric vehicle
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