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This is a repository with the written papers over the years.
- IoT and LoRa for eHealth
Given the importance eHealth has assumed in the recent years, in this paper I present how IoT can be used in the healthcare field in particular using LoRa.
- L’”errore” nella scoperta dell’elettromagnetismo di Oersted (it's an history dissertation, I won't translate this)
A paper in Italian about serendipity and Oersted's electromagnetism discovery.
The following papers have been written by some collegues and me. In this page I'm reporting the papers titles and their abstract, you can check them out by clicking on their respective links.
The automatic classification of heart rhythms using short time single lead ECG recordings is a challenging task that has been widely studied recently. In this paper we present our work that aims at classifying these kind of ECG signals as Atrial Fibrillation (Afib), Normal, Other rhythms or too noisy to be classified (Noisy). We developed three different binary classifiers as Recurrent Neural Networks (RNNs) both with a binary cross-entropy loss function and a weighted version of it. We used these three RNNs to develop a cascade classifier for the samples of the given dataset, considering the problem as a multiple binary classification problem. We obtained similar results, with a slightly better result using the unweighted loss function, with an accuracy of 81.18% vs 80.01% and a F1 score of 0.77 vs 0.76.
Spinal Cord Injury (SCI) is a condition that causes, for patients suffering from it, a huge lack of autonomy. This is very expensive, both for families and society, as people are often totally dependent on others also for the most basic and everyday situations. In the recent years lot of investments have been made for improving their lifestyle and autonomy. Although several different approaches have been developed for many BCI systems, we decided to implement our own setup for SCI patients based on MI literature, and in particular on MI training before the actual use of the BCI. Studies revealed that in SCI there are several departures from healthy subjects brain patterns, along with other preserved motor functions. We analysed these brain activation patterns for upper limb movements and we developed both a non-invasive and an invasive BCI system. The former is based on FES, electrical stimulation of arm and hand muscles, and the latter on an implanted device called bridge, which aims to restore the damages in the spinal cord bypassing them. Supported by the literature, our results seem promising and we now expect to implement the actual system and start the clinical trial.