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15/06/2018 - Assessment of agreement between measurement methods of gait curves - Palestrante: Luis Ernesto Bueno Salasar (UFSCar)

Quando 15/06/2018
das 14h00 até 15h00
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Seminário Conjunto UFSCar/ICMC

Data e horário: 15/06/2018 às 14 horas

Local: Sala 43 do DEs-UFSCar

Título: Assessment of agreement between measurement methods of gait curves

Palestrante: Prof. Dr. Luis Ernesto Bueno Salasar, Departamento de Estatística, UFSCar

Resumo: In several areas of applications (for instance, biomedicine, quality control, chemistry, among many others) quantifying the agreement between two measurement devices is a primordial task. The most common situation is when there exist a most reliable device and one wants to assess in which degree a new device can give comparable measurements. This problem has been extensively considered in the literature when the measurands are scalar, but few attempts have been made for 'functional data' measurands. The functional data case has become increasingly common with the development of modern equipments that can register data in high frequency. For instance, in some biomechanical studies the goal is registering joint (e.g., knee) rotations angles during human walking (gait). The gait analysis is an important tool for clinicians to understand the typical and altered patterns of movement, identify causes of malfunction and propose rehabilitation programs. So, an important issue is to guarantee that the measurement devices are accurate and reliable. In laboratory settings, advanced motion capture systems like 3D optical motion capture systems (e.g., Optotrak) allow for gait data registration. Another used device is the Electrogoniometer, which is portable and cheaper than the Optotrak, allowing its application in a wide range of environments. In order to assess to which extent the Electrogoniometer and Optotrak systems can provide similar measurements, a study with 16 subjects were designed that simultaneously registered the knee movement with the Optotrak and Eletrogoniometer. After pre-processing all the collected registers, the data are converted in functions by Fourier basis expansion and the conclusions about the agreement between the measurement devices are performed by the construction of nonparametric prediction bands using the concept of depth for functional data, which allow for the ranking of curves in the functional space.

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