Antonio NoceraUniversità Politecnica delle Marche | Università degli Studi di Ancona · Department of Information Engineering (DII)
Analysis of biomedical signal extracted from contactless sensors, such as mmWave radar and RGB-D cameras
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Citations since 2017
4 Research Items
I graduated in the bachelor of Biomedical Engineering in December 2020 with a thesis regarding machine learning for the estimation of muscle onset activation in the electromyography signal. Then, I graduated in the master's degree of Biomedical Engineering in July 2022 with a thesis titled "Bioengineering of sport: American Football". Since November 2022 he is a PhD fellow at the department of Information Engineering (DII) .
We propose a model composed of a Convolutional Neural Network followed by a bidirectional Long-Short Term Memory for the classification of the range-Doppler-time data obtained from radar acquisition. The approach reaches at least a 90% f1 score for the abnormal walking patterns class observing just one gait cycle or one second of acquisition and it...
American football is the sport with the highest rates of concussion injuries. Biomedical engineering applications may support athletes in monitoring their injuries, evaluating the effectiveness of their equipment, and leading industrial research in this sport. This literature review aims to report on the applications of biomedical engineering resea...
Background: Muscular-activity timing is useful information that is extractable from surface EMG signals (sEMG). However, a reference method is not available yet. The aim of this study is to investigate the reliability of a novel machine-learning-based approach (DEMANN) in detecting the onset/offset timing of muscle activation from sEMG signals. M...