Year 2023
[C12] N. Balletti, G. Laudato, and Rocco Oliveto (2023, Febraury). A Gait Analysis Tool Based on Machine Learning to Support the Rehabilitation Strategy of Post-stroke Patients" in Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF, 400-407, 2023 , Lisbon, Portugal.
[BC2] Rosa, G., Russodivito, M., Laudato, G., Colavita, A. R., De Vito, L., Picariello, F., Scalabrino, S., Tudosa, I., & Oliveto, R. (2022). Multi-class Detection of Arrhythmia Conditions Through the Combination of Compressed Sensing and Machine Learning. In International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 213-235). Springer.
Year 2022
[C11] Rosa, G., Russodivito, M., Laudato, G., Colavita, A. R., Scalabrino, S., & Oliveto, R. (2022, February). A robust approach for a real-time accurate screening of ST segment anomalies. In HEALTHINF.
[C10] Laudato, G., Rosa, G., Capobianco, G., Colavita, A. R., Dal Forno, A., ... & Oliveto, R. (2022, February). Simulating the doctor’s behaviour: a Preliminary Study on the Identification of atrial fibrillation through combined analysis of heart rate and beat morphology. In HEALTHINF.
[J3] Antico, M., Balletti, N., Ciccotelli, A., Ciccotelli, M., Laudato, G., Lazich, A., ... & Simeone, J. (2021, September). 2Vita-B Physical: An Intelligent Home Rehabilitation System based on Microsoft Azure Kinect DK. Frontiers in Human Dynamics, 54.
Year 2021
[C9] Rosa, G., Russodivito, M., Laudato, G., Scalabrino, S., Coalvita, A. R. & Oliveto, R. A multi-class approach for the automatic detection of Congestive Heart Failure in windowed ECG. In International Medical Informatics Association’s MedInfo 2021 Congress “One World, One Health, Global Partnership for Digital Innovation” October 2 – 4, 2021
[C8] Antico, M., Balletti, N., Ciccotelli, A., Ciccotelli, M., Laudato, G., Lazich, A., ... & Simeone, J. (2021, September). A Virtual Assistant for Home Rehabilitation: the 2Vita-B Physical Project. In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-6). IEEE.
[J2] Antico, M., Balletti, N., Laudato, G., Lazich, A., Notarantonio, M., Oliveto, R., ... & Simeone, J. (2021). Postural control assessment via Microsoft Azure Kinect DK: An evaluation study. Computer Methods and Programs in Biomedicine, 209, 106324.
[J1] Laudato, G., Scalabrino, S., Colavita, A. R., Chiacchiari, Q., D'Orazio, R., Donadelli, R., ... & Oliveto, R. (2021). ATTICUS: Ambient-intelligent Tele-monitoring and Telemetry for Incepting and Catering over hUman Sustainability. Frontiers in Human Dynamics, 19.
[C7] De Vito, L., Picariello, E., Picariello, F., Tudosa, I., Loprevite, L., Avicolli, D., Laudato, G., & Oliveto, R. (2021, June). An undershirt for monitoring of multi-lead ECG and respiration wave signals. In 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4. 0&IoT) (pp. 550-555). IEEE.
[C6] Laudato, G., Picariello, F., Scalabrino, S., Tudosa, I., De Vito, L., & Oliveto, R. (2021, March). Morphological Classification of Heartbeats in Compressed ECG. In HEALTHINF (pp. 386-393).
[C5] Rosa, G., Laudato, G., Colavita, A. R., Scalabrino, S., & Oliveto, R. (2021). Automatic Real-time Beat-to-beat Detection of Arrhythmia Conditions. In HEALTHINF (pp. 212-222).
Year 2020
[C4] Laudato, G., Oliveto, R., Scalabrino, S., Colavita, A. R., De Vito, L., Picariello, F., & Tudosa, I. (2020, June). Identification of R-peak occurrences in compressed ECG signals. In 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
[BC1] Laudato, G., Boldi, F., Colavita, A. R., Rosa, G., Scalabrino, S., Lazich, A., & Oliveto, R. (2020, February). Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation: Local and Global Prediction Models. In International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 425-441). Springer, Cham.
[C3] Laudato, G., Rosa, G., Scalabrino, S., Simeone, J., Picariello, F., Tudosa, I., ... & Oliveto, R. (2020, February). MIPHAS: Military Performances and Health Analysis System. In HEALTHINF (pp. 198-207).
[C2] Laudato, G., Boldi, F., Colavita, A. R., Rosa, G., Scalabrino, S., Torchitti, P., ... & Oliveto, R. (2020). Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation. In HEALTHINF (pp. 156-165).
Year 2019
[C1] Balestrieri, E., Boldi, F., Colavita, A. R., De Vito, L., Laudato, G., Oliveto, R., ... & Tudosa, I. (2019, June). The architecture of an innovative smart T-shirt based on the Internet of Medical Things paradigm. In 2019 IEEE International symposium on medical measurements and applications (MeMeA) (pp. 1-6). IEEE.
MINOR PUBBLICATIONS
Laudato, G., Scalabrino, S., Pareschi, R., & Oliveto, R. Intelligenza Artificiale e Big Data: l’arma in più contro il covid-19?. In ebook "Oltre la pandemia - Società, salute, economia e regole nell’era post Covid-19" - V. 2, pp. 1617-1632, Editoriale Scientifica.
Laudato, G., Scalabrino, S., Boldi, F., Colavita, A. R., De Vito, L., Donadelli, G. R., Gallo, L., Malatesta, R., & Oliveto, R. Wearable devices and machine learning for tele-healthcare: the ATTICUS project. In Proceedings of Days of Scientific Research. Department of Biosciences and Territory, March 2019. ISBN: 9788896394304.
Laudato, G., Ceccarelli, R., Oliveto, R. Machine learning and big data analytics to monitor biomedical parameters during high demanding tasks.In Proceedings of Days of Scientific Research. Department of Biosciences and Territory, March 2018. ISBN: 9788896394236.