Using Sensorized Gloves and Dimensional Reduction for Hand Function Assessment of Patients with Osteoarthritis
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Título
Using Sensorized Gloves and Dimensional Reduction for Hand Function Assessment of Patients with OsteoarthritisAutoría
Fecha de publicación
2021-11-26Editor
MDPIISSN
1424-8220Cita bibliográfica
Gracia-Ibáñez, V.; Rodríguez-Cervantes, P.-J.; Bayarri-Porcar, V.; Granell, P.; Vergara, M.; Sancho-Bru, J.-L. Using Sensorized Gloves and Dimensional Reduction for Hand Function Assessment of Patients with Osteoarthritis. Sensors 2021, 21, 7897. https://doi.org/10.3390/s21237897Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Sensorized gloves allow the measurement of all hand kinematics that are essential for
daily functionality. However, they are scarcely used by clinicians, mainly because of the difficulty of
analyzing all joint angles ... [+]
Sensorized gloves allow the measurement of all hand kinematics that are essential for
daily functionality. However, they are scarcely used by clinicians, mainly because of the difficulty of
analyzing all joint angles simultaneously. This study aims to render this analysis easier in order to
enable the applicability of the early detection of hand osteoarthritis (HOA) and the identification
of indicators of dysfunction. Dimensional reduction was used to compare kinematics (16 angles)
of HOA patients and healthy subjects while performing the tasks of the Sollerman hand function
test (SHFT). Five synergies were identified by using principal component (PC) analyses, patients
using less fingers arch, higher palm arching, and a more independent thumb abduction. The healthy
PCs, explaining 70% of patients’ data variance, were used to transform the set of angles of both
samples into five reduced variables (RVs): fingers arch, hand closure, thumb-index pinch, forced
thumb opposition, and palmar arching. Significant differences between samples were identified in
the ranges of movement of most of the RVs and in the median values of hand closure and thumb
opposition. A discriminant function for the detection of HOA, based in RVs, is provided, with a
success rate of detection higher than that of the SHFT. The temporal profiles of the RVs in two tasks
were also compared, showing their potentiality as dysfunction indicators. Finally, reducing the
number of sensors to only one sensor per synergy was explored through a linear regression, resulting
in a mean error of 7.0◦. [-]
Publicado en
Sensors 2021, 21, 7897Entidad financiadora
Spanish Ministry of Science, Innovation and Universities | the Regional Government
Código del proyecto o subvención
( PGC2018-095606-B-C21) | (GV/2020/067)
Derechos de acceso
info:eu-repo/semantics/openAccess
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