An Alternative of the Sliding Window Approach in Time Series Clustering of Intracranial Pressure for Patients with Traumatic Brain Injury

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00327620" target="_blank" >RIV/68407700:21730/17:00327620 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/7983533" target="_blank" >https://ieeexplore.ieee.org/document/7983533</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/MEASUREMENT.2017.7983533" target="_blank" >10.23919/MEASUREMENT.2017.7983533</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An Alternative of the Sliding Window Approach in Time Series Clustering of Intracranial Pressure for Patients with Traumatic Brain Injury

Popis výsledku v původním jazyce

In the paper, the controversial claim of the authors [3] that: "Clustering of time series subsequences, which are generated by the sliding window principle, is meaningless" is addressed and thoroughly tested. The test results confirmed the cited claim in respect with the synthetic pattern data, although, minor deviations depending on different window length have been obtained. For the retrospective set of real Intracranial Pressure (ICP) data acquired for the patients with the severe traumatic brain injury, we proposed an alternative of the sliding window approach consisting in the definition of specific segmentation of ICP records and in introducing six quantitative features. We show that clusterization in the corresponding feature vector space does not possess the property claimed by Keogh in [3].

Název v anglickém jazyce

An Alternative of the Sliding Window Approach in Time Series Clustering of Intracranial Pressure for Patients with Traumatic Brain Injury

Popis výsledku anglicky

In the paper, the controversial claim of the authors [3] that: "Clustering of time series subsequences, which are generated by the sliding window principle, is meaningless" is addressed and thoroughly tested. The test results confirmed the cited claim in respect with the synthetic pattern data, although, minor deviations depending on different window length have been obtained. For the retrospective set of real Intracranial Pressure (ICP) data acquired for the patients with the severe traumatic brain injury, we proposed an alternative of the sliding window approach consisting in the definition of specific segmentation of ICP records and in introducing six quantitative features. We show that clusterization in the corresponding feature vector space does not possess the property claimed by Keogh in [3].

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MEASUREMENT 2017

ISBN

9788097262914

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

47-50

Název nakladatele

Institute of Measurement Science of the SAS

Místo vydání

Bratislava

Místo konání akce

Smolenice

Datum konání akce

29. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000428658900011