Machine Learning of Ultrasound Data: Cardiovascular Parameters Detection Using Carotid Artery Measurements

Background &amp; Objective<br/>Cardiovascular diseases (CVDs) are the leading cause for death globally nowadays. Pulse wave velocity (PWV), a marker of arterial stiffness, is an important predictor of CVD risk. In precedent work, carotid artery data was collected with ultrasound to estimate the PWV with a digital signal processing (DSP) pipeline...

Temporal Delta Layer: Training Towards Brain Inspired Temporal Sparsity for Energy Efficient Deep Neural Networks

In the recent past, real-time video processing using state-of-the-art deep neural networks (DNN) has achieved human-like accuracy but at the cost of high energy consumption, making them infeasible for edge device deployment. The energy consumed by running DNNs on hardware accelerators is dominated by the number of memory read/writes and...