Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Giulia Cisotto"'
Autor:
Giulia Cisotto, Davide Chicco
Publikováno v:
PeerJ Computer Science, Vol 10, p e2256 (2024)
Electroencephalography (EEG) is a medical engineering technique aimed at recording the electric activity of the human brain. Brain signals derived from an EEG device can be processed and analyzed through computers by using digital signal processing,
Externí odkaz:
https://doaj.org/article/8e9c2e4c21354d4fbe589b70c5b35005
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-22 (2022)
Abstract Delivering health care at home emerged as a key advancement to reduce healthcare costs and infection risks, as during the SARS-Cov2 pandemic. In particular, in motor training applications, wearable and portable devices can be employed for mo
Externí odkaz:
https://doaj.org/article/0ad6963bd54742c19fdb3453c7ab8a44
Autor:
Giulio Rosati, Giulia Cisotto, Daniele Sili, Luca Compagnucci, Chiara De Giorgi, Enea Francesco Pavone, Alessandro Paccagnella, Viviana Betti
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract The use of surface electromyography (sEMG) is rapidly spreading, from robotic prostheses and muscle computer interfaces to rehabilitation devices controlled by residual muscular activities. In this context, sEMG-based gesture recognition pla
Externí odkaz:
https://doaj.org/article/5685ce0c229f4b838db6f2c53e57ae04
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Externí odkaz:
https://doaj.org/article/024f3260e25f44deb0a90ed58dcc1688
Publikováno v:
Sensors, Vol 23, Iss 7, p 3456 (2023)
Recent technological advancements such as the Internet of Things (IoT) and machine learning (ML) can lead to a massive data generation in smart environments, where multiple sensors can be used to monitor a large number of processes through a wireless
Externí odkaz:
https://doaj.org/article/86b7b2544c734ad5ae9e928ffc5691d1
Publikováno v:
Future Internet, Vol 13, Iss 5, p 103 (2021)
The classification of different fine hand movements from electroencephalogram (EEG) signals represents a relevant research challenge, e.g., in BCI applications for motor rehabilitation. Here, we analyzed two different datasets where fine hand movemen
Externí odkaz:
https://doaj.org/article/b88ddd1e0fdf48a188572284cd3e1a64
Autor:
Alberto Zancanaro, Giulia Cisotto, Dagmawi Delelegn Tegegn, Sara L. Manzoni, Ivan Reguzzoni, Edoardo Lotti, Italo Zoppis
Publikováno v:
2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).
The digitalization of the agrifood market is increasingly demanding for new technologies to support its transition towards smart agriculture, a sustainable food industry, and efficient management of greenhouses and crop breeding. In this work, we aim
Autor:
Lorenzo Pasini, Achille Policante, Daniele Rusmini, Giulia Cisotto, Elvina Gindullina, Leonardo Badia
The problem of multi-agent robotic survey of an unknown area is approached through a game theoretic frame-work. This is meant to enable cooperation in the group of robotic explorers reflecting their common objectives to minimize the effort in the sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a669e9fe8a231283f1290966b231c58b
http://hdl.handle.net/10281/391757
http://hdl.handle.net/10281/391757
This paper investigates data correlation in remote sensing networks and how it can be characterized through diverse models quantifying the Value of Information (VoI), a metric that describes how informative the data transmitted by the sensors are. Fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b559b630d9abc4f00620df11323b031a
https://hdl.handle.net/10281/391758
https://hdl.handle.net/10281/391758
This paper investigates the decision making process aided by machine learning for biomedical problems and how to improve it through meta assessments of the most relevant features. Classification algorithms are usually trained and exploited with high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eb621faa17106adcd2fb6bd6091f3bd
http://hdl.handle.net/10281/391755
http://hdl.handle.net/10281/391755