Giuseppe Cesarelli
Orcid: 0000-0001-8303-5900
According to our database1,
Giuseppe Cesarelli
authored at least 31 papers
between 2020 and 2023.
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Bibliography
2023
Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review.
Comput. Methods Programs Biomed., October, 2023
Medical Biol. Eng. Comput., March, 2023
Optimization Of 3D Fused Deposition Modeling Printing Process For The Manufacturing Of Devices For Medical Use.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
2022
Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson's Disease.
Sensors, 2022
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
A combined simulation and machine learning approach to classify severity of infarction patients.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Machine Learning and Biosignals are able to discriminate biomechanical risk classes according to the Revised NIOSH Lifting Equation.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
2021
A Comprehensive Review of Techniques for Processing and Analyzing Fetal Heart Rate Signals.
Sensors, 2021
Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning.
Sensors, 2021
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset.
J. Imaging, 2021
Optimization of an artificial neural network to study accelerations of foetal heart rhythm.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021
Statistical correlation analysis between kinematic features and clinical indexes and scales for obese patients.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021
Gait Analysis using Wearable E-Textile Sock: an Experimental Study of Test-Retest Reliability.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021
Multiple Regression and Machine Learning to investigate factors influencing the length of hospital stay after valvuloplasty.
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
Studying variables affecting the length of stay in patients with lower limb fractures by means of Machine Learning.
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021
Influence of demographic and organizational factors on the length of hospital stay in a general medicine department: Factors influencing length of stay in general medicine.
Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021
Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021
2020
Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment.
Sensors, 2020
Classifying the type of delivery from cardiotocographic signals: A machine learning approach.
Comput. Methods Programs Biomed., 2020
A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Measurement of muscle contraction timing for prosthesis control: a comparison between electromyography and force-myography.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Backpack Influence on Kinematic Parameters related to Timed Up and Go (TUG) Test in School Children.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Quantitative performance comparison of derivative operators for intervertebral kinematics analysis.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020