Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gregorio Dotti"'
Autor:
Gregorio Dotti, Marco Caruso, Daniele Fortunato, Marco Knaflitz, Andrea Cereatti, Marco Ghislieri
Publikováno v:
Sensors, Vol 24, Iss 18, p 6119 (2024)
The aim of this contribution is to present a segmentation method for the identification of voluntary movements from inertial data acquired through a single inertial measurement unit placed on the subject’s wrist. Inertial data were recorded from 25
Externí odkaz:
https://doaj.org/article/9050367ae99046a4853267c99d5fefc6
Autor:
Samanta Rosati, Marco Ghislieri, Gregorio Dotti, Daniele Fortunato, Valentina Agostini, Marco Knaflitz, Gabriella Balestra
Publikováno v:
Sensors, Vol 21, Iss 21, p 7186 (2021)
Gait analysis applications in clinics are still uncommon, for three main reasons: (1) the considerable time needed to prepare the subject for the examination; (2) the lack of user-independent tools; (3) the large variability of muscle activation patt
Externí odkaz:
https://doaj.org/article/c0143af2107046c88f85829fbc164564
Autor:
Valentina Agostini, Marco Ghislieri, Samanta Rosati, Gabriella Balestra, Gregorio Dotti, Marco Knaflitz
Publikováno v:
Medicine-Based Informatics and Engineering ISBN: 9783030878443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::915f08eef20743d62428480a83c0cc4c
https://doi.org/10.1007/978-3-030-87845-0_2
https://doi.org/10.1007/978-3-030-87845-0_2
Autor:
Daniele Fortunato, Samanta Rosati, Valentina Agostini, Marco Ghislieri, Marco Knaflitz, Gregorio Dotti, Gabriella Balestra
Publikováno v:
Sensors, Vol 21, Iss 7186, p 7186 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 21
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 21
Gait analysis applications in clinics are still uncommon, for three main reasons: (1) the considerable time needed to prepare the subject for the examination
(2) the lack of user-independent tools
(3) the large variability of muscle activat
(2) the lack of user-independent tools
(3) the large variability of muscle activat
Autor:
Marco Knaflitz, Valentina Agostini, Gabriella Balestra, Gregorio Dotti, Samanta Rosati, Marco Ghislieri
Publikováno v:
MeMeA
The Clustering for Identification of Muscle Activation Pattern (CIMAP) algorithm has been recently proposed to cope with the high intra-subject variability of muscle activation patterns and to allow the extraction of principal activations (PAs), defi