Investigating lightweight neural network architectures for real-time biological signal classification and clinical telemetry. Our work focuses on patient data privacy, artifact suppression in noisy portable sensor records, and deterministic edge classification of cardiac anomalies.
Constructing an ultra-compact convolutional classifier for continuous beat classification on PhysioNet MIT-BIH datasets designed for wearable microcontroller deployment.
Investigating wavelet decomposition methods for removing ocular and muscle artifacts from low-channel headband recordings without losing spectral band signatures.
