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WaDeNet: Wavelet Decomposition based CNN for Speech Processing
This allows WaDeNet to learn from spectral features in an end-to-end manner, thus alleviating the need for feature extraction and successive modules that are currently present in speech processing systems.
End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms
Continuous monitoring of cardiac activity is paramount to understanding the functioning of the heart in addition to identifying precursors to conditions such as Atrial Fibrillation.
Robust Modelling of Reflectance Pulse Oximetry for SpO$_2$ Estimation
Recently, a Machine Learning (ML) method was used to model reflectance waveforms onto SpO$_2$ obtained from transmittance waveforms.
Gait Recovery System for Parkinson's Disease using Machine Learning on Embedded Platforms
The smallest model size of the proposed resource efficient ML model was 1. 4 KB with an average recall score of 93. 58%.
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