Unsupervised Stress Detection Algorithm and Experiments with Real Life Data

2017 ◽  
pp. 95-107 ◽  
Author(s):  
Elena Vildjiounaite ◽  
Johanna Kallio ◽  
Jani Mäntyjärvi ◽  
Vesa Kyllönen ◽  
Mikko Lindholm ◽  
...  
Keyword(s):  
Real Life ◽  
Detection Algorithm ◽  
Stress Detection ◽  
Life Data ◽  
Real Life Data

scholarly journals Change-point detection: application of Cusum method to real life data

2021 ◽  
Vol 8 (1) ◽  
pp. 1041-1047
Author(s):  
Edoh Katchekpele ◽  
Tchilabalo Abozou Kpanzou ◽  
Jean-Etienne Ouindllassida Ouédraogo
Keyword(s):  
Change Point ◽  
Real Life ◽  
Detection Algorithm ◽  
Change Point Detection ◽  
Test Statistic ◽  
Life Data ◽  
Real Life Data ◽  
Abrupt Changes ◽  
Cusum Method ◽  
Point Detection

Several procedures have been developed for the detection of abrupt changes in time series. Among these procedures, it can be mentioned the Cumulative Sum (Cusum) type method. It is in such a perspective that Katchekpele et al. (2017) proposed a method using a Cusum type test to detect a change-point in the unconditional variance of the generalised autoregressive conditional heteroskedasticity(GARCH) models. The aim of this paper is to present an application of their technique. After briefly recalling how the test statistic was constructed, the change-point detection algorithm is given and it is shown how it is applied to some real life data.

Neuropsychology in the Real World

2014 ◽  
Vol 25 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Martin Peper ◽  
Simone N. Loeffler
Keyword(s):  
Neuropsychological Assessment ◽  
Real World ◽  
Ecological Validity ◽  
Real Life ◽  
Emotional States ◽  
Context Sensitive ◽  
Traditional Assessment ◽  
Life Data ◽  
Real Life Data ◽  
Assessment And Treatment

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.

The epidemiology of thyroid cancer within a center of excellence in Athens: Real life data

2017 ◽  
Author(s):  
Eleni Pantazi ◽  
Alexios Travlos ◽  
Evaggelia Vogiatzi ◽  
Ifigenia Kostoglou-Athanassiou
Keyword(s):  
Thyroid Cancer ◽  
Real Life ◽  
Life Data ◽  
Center Of Excellence ◽  
Real Life Data
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