Advanced Methods in Biomedical Signal Processing and Analysis

1. Feature engineering 2. Heart rate variability 3. Understanding the suitabillity of parametric modeling techniques in detecting the changes in the HRV signals acquired from cannabis consuming and nonconsuming Indian paddy-field workers 4. Patient-specific ECG beat classification using EMD and deep learning-based technique 5. Empirical wavelet transform and deep learning-based technique for ECG beat classification 6. Development of an Internet-of-Things (IoT)-based pill monitoring device for geriatric patients 7. Biomedical robotics 8. Combating COVID-19 by implying machine learning predictions and projections 9. Deep learning methods for analysis of neural signals: From conventional neural network to graph neural network 10. Improved extraction of the extreme thermal regions of breast IR images 11. New metrics to asses the subtle changes of the heart's electromagnetic field 12. The role of optimal and modified lead systems in electrocardiogram 13. Adaptive rate EEG processing and machine learning-based efficient recognition of epilepsy 14. Multimodal microscopy: A novel low-cost microscope designed for food and biological applications

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• Processamento de sinais

Biosignal processing; machine learning; deep learning; wavelets