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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cavallo, F. Esposito, D. Rovini, E. Aquilano, M. Carrozza, M.C. Dario, P. Maremmani, C. Bongioanni, P. |
| Copyright Year | 2013 |
| Description | Author affiliation: Neurosci. Dept., Azienda Ospedaliero-Univ. Pisana, Pisa, Italy (Bongioanni, P.) || Scuola Superiore Sant'Anna, BioRobotics Inst., Pontedera, Italy (Cavallo, F.; Esposito, D.; Rovini, E.; Aquilano, M.; Carrozza, M.C.; Dario, P.) || Neurology Operative Unit, Area Health Authority District 1, Carrara, Italy (Maremmani, C.) |
| Abstract | Nowadays, the increasing old population 65+ as well as the pace imposed by work activities lead to a high number of people that have particular injuries for limbs. In addition to persistent or temporary disabilities related to accidental injuries we must take into account that part of the population suffers from motor deficits of the hands due to stroke or diseases of various clinical nature. The most recurrent technological solutions to measure the rehabilitation or skill motor performance of the hand are glove-based devices, able to faithfully capture the movements of the hand and fingers. This paper presents a system for hand motion analysis based on 9-axis complete inertial modules and dedicated microcontroller which are fixed on fingers and forearm. The technological solution presented is able to track the patients' hand motions in real-time and then to send data through wireless communication reducing the clutter and the disadvantages of a glove equipped with sensors through a different technological structure. The device proposed has been tested in the study of Parkinson's disease. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1036189 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467360227 |
| ISSN | 19457901 |
| e-ISBN | 9781467360241 |
| DOI | 10.1109/ICORR.2013.6650466 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biomechanics smart gloves Parkinson's disease Sociology Thumb hand motion recognition Feature extraction Hand rehabilitation Sensors Diseases |
| Content Type | Text |
| Resource Type | Article |
| Subject | Rehabilitation Control and Systems Engineering Electrical and Electronic Engineering |
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