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Assessment of walking features from foot inertial sensing.
Sabatini, Angelo M; Martelloni, Chiara; Scapellato, Sergio; Cavallo, Filippo.
Afiliación
  • Sabatini AM; Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy. A.Sabatini@mail-arts.sssup.it
IEEE Trans Biomed Eng ; 52(3): 486-94, 2005 Mar.
Article en En | MEDLINE | ID: mdl-15759579
ABSTRACT
An ambulatory monitoring system is developed for the estimation of spatio-temporal gait parameters. The inertial measurement unit embedded in the system is composed of one biaxial accelerometer and one rate gyroscope, and it reconstructs the sagittal trajectory of a sensed point on the instep of the foot. A gait phase segmentation procedure is devised to determine temporal gait parameters, including stride time and relative stance; the procedure allows to define the time intervals needed for carrying an efficient implementation of the strapdown integration, which allows to estimate stride length, walking speed, and incline. The measurement accuracy of walking speed and inclines assessments is evaluated by experiments carried on adult healthy subjects walking on a motorized treadmill. Root-mean-square errors less than 0.18 km/h (speed) and 1.52% (incline) are obtained for tested speeds and inclines varying in the intervals [3, 6] km/h and [-5, + 15]%, respectively. Based on the results of these experiments, it is concluded that foot inertial sensing is a promising tool for the reliable identification of subsequent gait cycles and the accurate assessment of walking speed and incline.
Asunto(s)
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Caminata / Diagnóstico por Computador / Monitoreo Ambulatorio / Pie / Marcha / Aceleración / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Humans / Male Idioma: En Revista: IEEE Trans Biomed Eng Año: 2005 Tipo del documento: Article País de afiliación: Italia
Buscar en Google
Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Caminata / Diagnóstico por Computador / Monitoreo Ambulatorio / Pie / Marcha / Aceleración / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Humans / Male Idioma: En Revista: IEEE Trans Biomed Eng Año: 2005 Tipo del documento: Article País de afiliación: Italia