Abstract: Neurological disorder diagnosis from EEG signals is hindered by low data resolution and limitations in feature extraction. In this work, the use of Enhanced Super-Resolution Generative ...

Abstract: This work presents a low-power analog integrated decision tree classifier for real-time Apnea-Ecg detection. The design achieves exceptionally low power consumption of 891 nW and a ...

Introduction: All angioedema (AE) presents with transient, localized swelling; however, the underlying causes, prognosis, and treatments vary significantly. Consequently, identifying a specific AE ...