Modelling Stabilometric Time Series

Stabilometry is a branch of medicine that studies balance-related human functions. Stabilometric systems generate time series. The analysis of these time series using data mining techniques can be very useful for domain experts. In the field of stabilometry, as in many other domains, the key nuggets of information in a time series are concentrated within definite time periods known as events. In this paper, we propose a technique for creating reference models for stabilometric time series based on event analysis. After testing the technique on time series recorded by top-competition sportspeople, we conclude that stabilometric models can be used to classify individuals by their balance-related abilitie

Balance and Postural Control Assess in Elite Ice Skaters

Análisis de curvas de fuerza muscular en patinadores de élite contando con el apoyo de sistemas de soporte a la decisión y técnicas de descubrimiento de conocimiento

Comparing Time Series Through Event Clusterin

The comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the Discrete Fourier Transform (DFT), offer solutions for comparing two whole time series. Often, however, the important thing is to analyse certain regions, known as events, rather than the whole times series. This applies to domains like the stock market, seismography or medicine. In this paper, we propose a method for comparing two time series by analysing the events present in the two. The proposed method is applied to time series generated by stabilometric and posture graphic systems within a branch of medicine studying balance-related functions in human beings

A Language for Defining Events in Multi-Dimensional Time Series: Application to a Medical Domain

In many domains, like seismography or medicine, time series analysis focuses on particular regions of interest in the time series, known as events, whereas the remainder of the times series contains hardly any useful information. Research into the field of time series events definition has proposed techniques that are only applicable to specific domains. In this paper, we propose an events definition language that is general enough to be able to simply and naturally define time series events in any domain. The proposed language has been applied to the definition of time series events generated by stabile metric systems within the branch of medicine dealing with balance related functions in human beings

Elbow flexors-extensors muscles torque and velocity performance in high level wheelchair basketball players

During propulsion, the elbow showed alternating flexion/extension patterns (Rao et al.,1996). The movement dynamics in wheelchair basketball (WB) are specifically related to handling the wheelchair in sprinting, bracking, turning and blocking. The ability to accelerate the wheelchair from standstill will be determinate by several components, such as explosive strength and propulsion technique (Vanlandewijck et al., 2001)

Comparing Posturographic Time Series through Event Detection,

Abstrac

Assess of isokinetic trunk strength in elite basketball players

Análisis de curvas de fuerza muscular en jugadores profesionales de baloncesto contando con el apoyo de sistemas de soporte a la decisión y técnicas de descubrimiento de conocimiento