Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Paolo Crippa"'
Autor:
Michele Alessandrini, Laura Falaschetti, Giorgio Biagetti, Paolo Crippa, Simona Luzzi, Claudio Turchetti
Publikováno v:
Sensors, Vol 23, Iss 19, p 8039 (2023)
In recent years, the use of electroencephalography (EEG) has grown as a tool for diagnostic and brain function monitoring, being a simple and non-invasive method compared with other procedures like histological sampling. Typically, in order to extrac
Externí odkaz:
https://doaj.org/article/2346a8c506864189837556804ca5da25
Autor:
Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simona Luzzi, Claudio Turchetti
Publikováno v:
Sensors, Vol 22, Iss 10, p 3696 (2022)
The use of electroencephalography (EEG) has recently grown as a means to diagnose neurodegenerative pathologies such as Alzheimer’s disease (AD). AD recognition can benefit from machine learning methods that, compared with traditional manual diagno
Externí odkaz:
https://doaj.org/article/0decc755a956427bb8588bca4d24cb38
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss S1, Pp 1-18 (2018)
Abstract Background The human activity monitoring technology is one of the most important technologies for ambient assisted living, surveillance-based security, sport and fitness activities, healthcare of elderly people. The activity monitoring is pe
Externí odkaz:
https://doaj.org/article/4659fbc5c93f43fb988dd9ec1f9f3fd8
Autor:
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Leonardo Saraceni, Andrea Tiranti, Claudio Turchetti
Publikováno v:
Data in Brief, Vol 29, Iss , Pp - (2020)
We introduce a dataset to provide insights about the photoplethysmography (PPG) signal captured from the wrist in presence of motion artifacts and the accelerometer signal, simultaneously acquired from the same wrist. The data presented were collecte
Externí odkaz:
https://doaj.org/article/a192f1169416417d92e83b4e907c0810
Publikováno v:
Sensors, Vol 21, Iss 15, p 5160 (2021)
Electromyography (EMG) sensors produce a stream of data at rates that can easily saturate a low-energy wireless link such as Bluetooth Low Energy (BLE), especially if more than a few EMG channels are being transmitted simultaneously. Compressing data
Externí odkaz:
https://doaj.org/article/f8a61f8ecbdd4d94a8c21bf7a9097e6c
Autor:
Giorgio Biagetti, Virgilio Paolo Carnielli, Paolo Crippa, Laura Falaschetti, Valentina Scacchia, Lorenzo Scalise, Claudio Turchetti
Publikováno v:
Data in Brief, Vol 25, Iss , Pp - (2019)
We introduce a dataset to provide insights into the relationship between the diaphragm surface electromyographic (sEMG) signal and the respiratory air flow. The data presented had been originally collected for a research project jointly developed by
Externí odkaz:
https://doaj.org/article/33de21e1d67b48d28c135ee70bc274c2
Autor:
Antonino Cataldo, Giorgio Biagetti, Davide Mencarelli, Federico Micciulla, Paolo Crippa, Claudio Turchetti, Luca Pierantoni, Stefano Bellucci
Publikováno v:
Nanomaterials, Vol 10, Iss 5, p 850 (2020)
This paper deals with the electrochemical characterization and the equivalent circuit modeling of screen-printed electrodes, modified by an epoxy composite and loaded with carbon nanotubes (CNTs), pristine and functionalized NH2, and graphene nanopla
Externí odkaz:
https://doaj.org/article/3ba0d40eac5f4fb7939fb23e0a8d1888
Publikováno v:
Sensors, Vol 19, Iss 16, p 3531 (2019)
Wearable devices offer a convenient means to monitor biosignals in real time at relatively low cost, and provide continuous monitoring without causing any discomfort. Among signals that contain critical information about human body status, electromyo
Externí odkaz:
https://doaj.org/article/51e997e0d1b446f284e774008042546c
Publikováno v:
Energies, Vol 12, Iss 6, p 1103 (2019)
Direct conversion of AC power between three-phase systems operating at different frequencies can be achieved using solid-state circuits known as matrix converters. These converters do not need energy storage elements, but they require sophisticated c
Externí odkaz:
https://doaj.org/article/0bddb141c4254d8ea660fd22f7abbc0c
Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization
Publikováno v:
Sensors, Vol 18, Iss 9, p 2850 (2018)
The human activity diarization using wearable technologies is one of the most important supporting techniques for ambient assisted living, sport and fitness activities, healthcare of elderly people. The activity diarization is performed in two steps:
Externí odkaz:
https://doaj.org/article/a7bf3fda9e354da096d1e796905fa389