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Article
Open AccessBiomedical 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...
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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...
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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...
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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...