Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Davide Astarita"'
Autor:
Michele Francesco Penna, Luca Giordano, Stefano Tortora, Davide Astarita, Lorenzo Amato, Filippo Dell’Agnello, Emanuele Menegatti, Emanuele Gruppioni, Nicola Vitiello, Simona Crea, Emilio Trigili
Publikováno v:
Wearable Technologies, Vol 5 (2024)
This work introduces a real-time intention decoding algorithm grounded in muscle synergies (Syn-ID). The algorithm detects the electromyographic (EMG) onset and infers the direction of the movement during reaching tasks to control a powered shoulder
Externí odkaz:
https://doaj.org/article/52616e28c4194d15a6313a1e3aef4980
Autor:
Jun Pan, Davide Astarita, Andrea Baldoni, Filippo Dell'Agnello, Simona Crea, Nicola Vitiello, Emilio Trigili
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4954-4964 (2023)
NESM- $\gamma $ is an upper-limb exoskeleton to train motor functions of post-stroke patients. Based on the kinesiology of the upper limb, the NESM- $\gamma $ includes a four degrees-of-freedom (DOF) active kinematic chain for the shoulder and elbow,
Externí odkaz:
https://doaj.org/article/491c2eebb4e94b859c3096c733567bc3
Autor:
Chiara Höhler, Emilio Trigili, Davide Astarita, Joachim Hermsdörfer, Klaus Jahn, Carmen Krewer
Background. After stroke, paresis of the upper limb (UL) is the most frequent impairment. Hybrid neuroprostheses, i.e., the combination of robots and electrical stimulation, emerge as an option to treat these impairments. Methods. To give an overview
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f403e35830a7dc38c068a36faa59067
https://doi.org/10.21203/rs.3.rs-2910291/v1
https://doi.org/10.21203/rs.3.rs-2910291/v1
Autor:
Arpaia Pasquale, Scognamiglio Andrea, Ambrosino Michele, Sorrentino Stefano, Marvaso Maurizio, Astarita Davide, Bruno Ugo, Tommasino Cristian, Bonavolonta Francesco, Calvanese Francesco, Esposito Francesco, Cavaliere Andrea, Grotta Antonio
Publikováno v:
M&N
A tele-monitoring system, based on a soft transducer network, developed by students of the Course "Measurements on Communications Network" (MRC), at the Department of Electrical Engineering and Information Technology, University of Naples Federico II