Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ilaria Mileti"'
Autor:
Ilaria Mileti, Juri Taborri, David Rodriguez-Cianca, Diego Torricelli, Stefano Rossi, Fabrizio Patanè
Publikováno v:
Robotics, Vol 11, Iss 6, p 151 (2022)
Assessing the performance of exoskeletons in assisting human balance is important for their design process. This study proposes a novel testbed, the B.E.A.T (Balance Evaluation Automated Testbed) to address this aim. We applied the B.E.A.T to evaluat
Externí odkaz:
https://doaj.org/article/9ab24adc00044948ba5cf76b966cbbce
Autor:
Francesco Castelli Gattinara Di Zubiena, Greta Menna, Ilaria Mileti, Alessandro Zampogna, Francesco Asci, Marco Paoloni, Antonio Suppa, Zaccaria Del Prete, Eduardo Palermo
Publikováno v:
Sensors, Vol 22, Iss 24, p 9903 (2022)
Dynamic posturography combined with wearable sensors has high sensitivity in recognizing subclinical balance abnormalities in patients with Parkinson’s disease (PD). However, this approach is burdened by a high analytical load for motion analysis,
Externí odkaz:
https://doaj.org/article/626096e4f1cb43ee94a226c8cb14cc24
Autor:
Ilaria Mileti, Aurora Serra, Nerses Wolf, Victor Munoz-Martel, Antonis Ekizos, Eduardo Palermo, Adamantios Arampatzis, Alessandro Santuz
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
The use of motorized treadmills as convenient tools for the study of locomotion has been in vogue for many decades. However, despite the widespread presence of these devices in many scientific and clinical environments, a full consensus on their vali
Externí odkaz:
https://doaj.org/article/5d63b07e885c44299f020c60c4ac8a48
Autor:
Marco Germanotta, Ilaria Mileti, Ilaria Conforti, Zaccaria Del Prete, Irene Aprile, Eduardo Palermo
Publikováno v:
Sensors, Vol 21, Iss 2, p 601 (2021)
The estimation of the body’s center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) all
Externí odkaz:
https://doaj.org/article/f9264140bbb944ddb71e0d51f287f4ba
Autor:
Ilaria Mileti, Alessandro Zampogna, Alessandro Santuz, Francesco Asci, Zaccaria Del Prete, Adamantios Arampatzis, Eduardo Palermo, Antonio Suppa
Publikováno v:
Sensors, Vol 20, Iss 11, p 3209 (2020)
Over the last two decades, experimental studies in humans and other vertebrates have increasingly used muscle synergy analysis as a computational tool to examine the physiological basis of motor control. The theoretical background of muscle synergies
Externí odkaz:
https://doaj.org/article/b295e0ea996746de9a36fbc9d23431fe
Autor:
Alessandro Zampogna, Ilaria Mileti, Eduardo Palermo, Claudia Celletti, Marco Paoloni, Alessandro Manoni, Ivan Mazzetta, Gloria Dalla Costa, Carlos Pérez-López, Filippo Camerota, Letizia Leocani, Joan Cabestany, Fernanda Irrera, Antonio Suppa
Publikováno v:
Sensors, Vol 20, Iss 11, p 3247 (2020)
Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological disorders further increase the ri
Externí odkaz:
https://doaj.org/article/881ebcbef281487d8041e617e515e00e
Publikováno v:
Sensors, Vol 20, Iss 6, p 1557 (2020)
Ergonomics evaluation through measurements of biomechanical parameters in real time has a great potential in reducing non-fatal occupational injuries, such as work-related musculoskeletal disorders. Assuming a correct posture guarantees the avoidance
Externí odkaz:
https://doaj.org/article/f40f800898f74753a3004ac1cc13de1e
Autor:
Ilaria Mileti, Marco Germanotta, Enrica Di Sipio, Isabella Imbimbo, Alessandra Pacilli, Carmen Erra, Martina Petracca, Stefano Rossi, Zaccaria Del Prete, Anna Rita Bentivoglio, Luca Padua, Eduardo Palermo
Publikováno v:
Sensors, Vol 18, Iss 3, p 919 (2018)
Monitoring gait quality in daily activities through wearable sensors has the potential to improve medical assessment in Parkinson’s Disease (PD). In this study, four gait partitioning methods, two based on thresholds and two based on a machine lear
Externí odkaz:
https://doaj.org/article/55a70c76df814af9882ec8cf6105f50e
Real-time processing of human response to external disturbances assumes a key role in the design of control systems for lower limb exoskeletons. However, the automatic recognition of human intention movement is still an untapped issue in robotics, es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71d8a015ce4bd7ad3c0a16204cd2ae67
http://hdl.handle.net/10261/304627
http://hdl.handle.net/10261/304627
Publikováno v:
IEEE Sensors Journal. 21:17064-17075
Markerless human motion capture could be a potential tool for studying body biomechanics. Despite the extensive previous studies, the design of an accurate markerless system able to perform a quantitative clinical gait analysis is still an open chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9e9312573af2774bc9d57b99fcf9c72
https://doi.org/10.1109/jsen.2021.3081188
https://doi.org/10.1109/jsen.2021.3081188