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  1. Article

    Open Access

    Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review

    The use of machine learning (ML) techniques in healthcare encompasses an emerging concept that envisages vast contributions to the tackling of rare diseases. In this scenario, amyotrophic lateral sclerosis (AL...

    Felipe Fernandes, Ingridy Barbalho, Daniele Barros in BioMedical Engineering OnLine (2021)

  2. No Access

    Chapter and Conference Paper

    Automatic Segmentation of Ultrasonic Vocalizations in Rodents

    Ultrasonic vocalizations studies in rodents have increasingly drawn researchers attention as it have been considered a powerful tool to understand the animals behavior and their interactions in different soci...

    Diogo Pessoa, Lorena Petrella in XV Mediterranean Conference on Medical and… (2020)

  3. No Access

    Chapter and Conference Paper

    A Multi-feature Approach for Noise Detection in Lung Sounds

    During the acquisition of lung sounds, several sources of noise can interfere with the recordings. Therefore, the detection of noise present in lung sounds plays an important role in the correct diagnosis of s...

    Adriana Leal, César Teixeira in International Conference on Biomedical and… (2019)

  4. No Access

    Chapter

    Brainatic: A System for Real-Time Epileptic Seizure Prediction

    A new system developed for real-time scalp EEG-based epileptic seizure prediction is presented, based on real time classification by machine learning methods, and named Brainatic. The system enables the consid...

    César Teixeira, Gianpietro Favaro, Bruno Direito in Brain-Computer Interface Research (2014)