Analysis of multiple waveforms by means of functional principal component analysis: normal versus pathological patterns in sit-to-stand movement
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Altres documents de l'autoria: Epifanio, Irene; Ávila, Carolina; Page del Pozo, Álvaro; Atienza, Carlos
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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Analysis of multiple waveforms by means of functional principal component analysis: normal versus pathological patterns in sit-to-stand movementData de publicació
2008Editor
Springer VerlagISSN
01400118Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
This paper presents an application of Functional Principal Component Analysis (FPCA) to
describe inter-subject variability of multiple waveforms. This technique was applied to the study
of sit-to-stand movement in ... [+]
This paper presents an application of Functional Principal Component Analysis (FPCA) to
describe inter-subject variability of multiple waveforms. This technique was applied to the study
of sit-to-stand movement in two groups of people, osteoarthritic patients and healthy subjects.
Although STS movement has not been much applied to the study of knee osteoarthritis, it can
provide relevant information about the effect of osteoarthritis disease on knee joint function.
Two waveforms, knee flexion angle and flexion moment, were simultaneously analysed. Instead of
using the common multivariate approach we used the functional one, which allows working with
continuous functions without neither discretization nor time scale normalization.
The results show that time-scale normalization can alter the FPCA solution. Furthermore, FPCA
presents a better discriminatory power compared to the classical multivariate approach. Then, this
technique can be applied as a functional assessment tool, allowing the identification of relevant
variables to discriminate heterogeneous groups, such as healthy and pathological subjects [-]
Drets d'accés
The original publication is available at www.springerlink.com
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info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
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