De Fazio, R.; Spongano, L.; De Vittorio, M.; Patrono, L.; Visconti, P.
Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices. Sensors 2024, 24, 3853.
https://doi.org/10.3390/s24123853
AMA Style
De Fazio R, Spongano L, De Vittorio M, Patrono L, Visconti P.
Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices. Sensors. 2024; 24(12):3853.
https://doi.org/10.3390/s24123853
Chicago/Turabian Style
De Fazio, Roberto, Lorenzo Spongano, Massimo De Vittorio, Luigi Patrono, and Paolo Visconti.
2024. "Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices" Sensors 24, no. 12: 3853.
https://doi.org/10.3390/s24123853
APA Style
De Fazio, R., Spongano, L., De Vittorio, M., Patrono, L., & Visconti, P.
(2024). Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices. Sensors, 24(12), 3853.
https://doi.org/10.3390/s24123853