Vision-based gait impairment analysis for aided diagnosis
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Altres documents de l'autoria: Ortells Lorenzo, Javier; Herrero Ezquerro, María Trinidad; Mollineda, Ramón A.
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INVESTIGACIONMetadades
Títol
Vision-based gait impairment analysis for aided diagnosisData de publicació
2018Editor
Springer VerlagISSN
0140-0118; 1741-0444Cita bibliogràfica
Ortells, J., Herrero-Ezquerro, M.T. & Mollineda, R.A. Med Biol Eng Comput (2018). https://doi.org/10.1007/s11517-018-1795-2Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://link.springer.com/article/10.1007/s11517-018-1795-2Versió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
Gait is a firsthand reflection of health condition. This belief has inspired recent research efforts to automate the analysis of
pathological gait, in order to assist physicians in decision-making. However, most of ... [+]
Gait is a firsthand reflection of health condition. This belief has inspired recent research efforts to automate the analysis of
pathological gait, in order to assist physicians in decision-making. However, most of these efforts rely on gait descriptions
which are difficult to understand by humans, or on sensing technologies hardly available in ambulatory services. This
paper proposes a number of semantic and normalized gait features computed from a single video acquired by a low-cost
sensor. Far from being conventional spatio-temporal descriptors, features are aimed at quantifying gait impairment, such
as gait asymmetry from several perspectives or falling risk. They were designed to be invariant to frame rate and image
size, allowing cross-platform comparisons. Experiments were formulated in terms of two databases. A well-known generalpurpose
gait dataset is used to establish normal references for features, while a new database, introduced in this work,
provides samples under eight different walking styles: one normal and seven impaired patterns. A number of statistical
studies were carried out to prove the sensitivity of features at measuring the expected pathologies, providing enough evidence
about their accuracy. [-]
Publicat a
Med Biol Eng Comput (2018)Drets d'accés
“This is a post-peer-review, pre-copyedit version of an article published in Medical and Biological Engineering and Computing. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11517-018-1795-2.”
© International Federation for Medical and Biological Engineering 2018
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
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