Automatic classification of time-frequency plots applied to the center-of-pressure rotational components.
Annu Int Conf IEEE Eng Med Biol Soc
; 2013: 4219-22, 2013.
Article
en En
| MEDLINE
| ID: mdl-24110663
ABSTRACT
Time-frequency plots are widely applied to the non-stationary analysis of signals. These plots may be difficult to interpret, particularly when large data sets have to be considered. The aim of this work is to propose an automatic procedure of feature selection and clustering to be applied to time-frequency plots. We focus on the application of this procedure to plots obtained from a non-stationary analysis of the center-of-pressure signals acquired in upright bipedal stance. From a data set of 168 time-frequency plots we obtained 5 different clusters, each characterized by a few distinctive features. We were able to interpret the results of the clustering relating them to the physiological mechanisms underlying postural sway.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Postura
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Procesamiento de Señales Asistido por Computador
/
Reconocimiento de Normas Patrones Automatizadas
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Electroencefalografía
Límite:
Female
/
Humans
/
Male
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Año:
2013
Tipo del documento:
Article