Tutorials

Recent developments in the processing techniques for thin-film transistors (TFTs) have made possible to integrate TFTs on flexible and even conformable substrates. The possibility to integrate active electronics on an unobtrusive support is ideally suited to build wearable patches that are able to map biopotentials (ECG, EMG, EHG, ECoG, EEG and more) on the body surface. Further applications encompassing ultrasound imaging and biochemical screening can also be enabled by TFT electronics.

This tutorial is not intended to be a full compendium of fundamentals on measurement methods, rather it aims to provide basic guidelines and suggestions for a proper design of a measurement set-up. The tutorial will present basic measurement rules, taking care of the practical implications of the adopted measurement strategy. Indeed, thoroughly planning experimental tests is fundamental, as well as making the right choices in terms of sensors, measurement procedure, data signal processing techniques, and test protocol. 

Generative modelling has been widely theorized as the main driver behind decision making in autonomous intelligent agents. This is not surprising: the ability to accurately infer scene states from imperfect observations and predict plausible hypothetical futures is powerful. In this tutorial, we will discuss how generative modeling, and in particular deep generative modeling, can play a similar role in future imaging (and more broadly, active sensor systems). 

The evolving landscape of eHealth, especially in systems for remote patient monitoring and decision-making, presents numerous challenges and uncertainties. This tutorial addresses the complexities of leveraging real-world data for effective eHealth systems. It addresses overarching issues such as data loss and noisy data, along with specific challenges in data management including data storage systems and formats, privacy, and security within inference/decision-support systems.