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Evaluation of smartphone-based cough data in amyotrophic lateral sclerosis as a...
Rocha, Pedro S.; Bento, Nuno; Folgado, Duarte; Carreiro, André V.; Santos, Miguel Oliveira; de Carvalho, Mamede; Miranda, BrunoPublisher Copyright: © 2024 Rocha et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.; Objectives Cough dysfunction is a feature of patients with amyotrophic lateral sclerosis (ALS). The cough sounds carry information about...
Voice Assessment in Patients with Amyotrophic Lateral Sclerosis
Rocha, Pedro Santos; Bento, Nuno; Svärd, Hanna; Lopes, Diana Monteiro; Hespanhol, Sandra; Folgado, Duarte; Carreiro, André Valério; de Carvalho, Mamede© 2024 by the authors. Licensee MDPI, Basel, Switzerland.; Background: Speech production is a possible way to monitor bulbar and respiratory functions in patients with amyotrophic lateral sclerosis (ALS). Moreover, the emergence of smartphone-based data collection offers a promising approach to reduce frequent hospital visits and enhance patient outcomes. Here, we studied the relationship between bulbar and res...
Comparing Handcrafted Features and Deep Neural Representations for Domain Gener...
Bento, Nuno; Rebelo, Joana; Barandas, Marília; Carreiro, André V.; Campagner, Andrea; Cabitza, Federico; Gamboa, HugoHuman Activity Recognition (HAR) has been studied extensively, yet current approaches are not capable of generalizing across different domains (i.e., subjects, devices, or datasets) with acceptable performance. This lack of generalization hinders the applicability of these models in real-world environments. As deep neural networks are becoming increasingly popular in recent work, there is a need for an explicit...
Ecg biometrics using deep learning and relative score threshold classification
Belo, David; Bento, Nuno; Silva, Hugo; Fred, Ana; Gamboa, HugoPD/BDE/130216/2017; The field of biometrics is a pattern recognition problem, where the individual traits are coded, registered, and compared with other database records. Due to the difficulties in reproducing Electrocardiograms (ECG), their usage has been emerging in the biometric field for more secure applications. Inspired by the high performance shown by Deep Neural Networks (DNN) and to mitigate the intra-...