FERRETTI, JACOPO

FERRETTI, JACOPO  

Dipartimento di Elettronica e Telecomunicazioni  

046323  

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Citazione Data di pubblicazione Autori File
PulsECG - A Cuffless Non-Invasive Blood Pressure Monitoring Device through Neural Network Analysis of ECG and PPG signals / Randazzo, Vincenzo; Buccellato, Pietro; Ferretti, Jacopo; Delrio, Federico; Pasero, Eros. - ELETTRONICO. - (2024), pp. 1030-1035. (Intervento presentato al convegno 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) tenutosi a Oporto (Portogallo) nel 25-27 June 2024) [10.1109/melecon56669.2024.10608702]. 1-gen-2024 Randazzo, VincenzoBuccellato, PietroFerretti, JacopoDelrio, FedericoPasero, Eros 1570993291.pdfPulsECG_-_A_Cuffless_Non-Invasive_Blood_Pressure_Monitoring_Device_through_Neural_Network_Analysis_of_ECG_and_PPG_signals.pdf
Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device / Randazzo, V.; Ferretti, J.; Pasero, E.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 21:18(2021). [10.3390/s21186036] 1-gen-2021 Randazzo V.Ferretti J.Pasero E. sensors-21-06036.pdf
1-D Convolutional Neural Network for ECG Arrhythmia Classification / Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Progresses in Artificial Intelligence and Neural Systems / Esposito A., Faundez-Zanuy M., Morabito F., Pasero E.. - ELETTRONICO. - [s.l] : Springer Singapore, 2020. - ISBN 978-981-15-5093-5. - pp. 269-279 [10.1007/978-981-15-5093-5_25] 1-gen-2020 Jacopo FerrettiVincenzo RandazzoGiansalvo CirrincioneEros Pasero Wirn2019_ECG_DeepLearning_abstract.pdfWirn2019_ECG_DeepLearning_v5_final.pdfbookExtracted_1-D Convolutional Neural Network for ECG Arrhythmia Classification.pdf
A wearable smart device to monitor multiple vital parameters—VITAL ECG / Randazzo, V.; Ferretti, J.; Pasero, E.. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 9:2(2020), p. 300. [10.3390/electronics9020300] 1-gen-2020 Randazzo V.Ferretti J.Pasero E. electronics-09-00300 (1).pdf
Deep CNN for 3D Face Recognition / Olivetti, ELENA CARLOTTA; Ferretti, Jacopo; Cirrincione, Giansalvo; Nonis, Francesca; Tornincasa, Stefano; Marcolin, Federica. - STAMPA. - (2020), pp. 665-674. (Intervento presentato al convegno International Conference on Design Tools and Methods in Industrial Engineering, ADM 2019) [10.1007/978-3-030-31154-4_56]. 1-gen-2020 OLIVETTI, ELENA CARLOTTAFERRETTI, JACOPOGiansalvo CirrincioneFrancesca NonisStefano TornincasaFederica Marcolin -
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study / Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - (2020), pp. 1-7. (Intervento presentato al convegno 2020 International Joint Conference on Neural Networks, IJCNN 2020 tenutosi a gbr nel 2020) [10.1109/IJCNN48605.2020.9207360]. 1-gen-2020 Ferretti J.Randazzo V.Cirrincione G.Pasero E. + Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN_the ECG Case Study.pdf1D_CNN_Feature_Correlation_v4_submitted.pdf
ECG WATCH: A real time wireless wearable ECG / Randazzo, V.; Ferretti, Jacopo; Pasero, E.. - ELETTRONICO. - (2019), pp. 1-6. (Intervento presentato al convegno 2019 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2019 tenutosi a Kadir Has University (KHU), tur nel 2019) [10.1109/MeMeA.2019.8802210]. 1-gen-2019 Randazzo V.FERRETTI, JACOPOPasero E. -