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

Abstract

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.