The North Sea Bicycle Race ECG project : time-domain analysis

• Autorzy: Długosz D. , Eftestøl T. , Królak A. , Wiktorski T. , Ørn S.

Identyfikatory

DOI

10.14313/JAMRIS_1-2018/3

• Języki publikacji: EN

Abstrakty

EN

Analysis of electrocardiogram and heart rate provides useful information about health condition of a patient. The North Sea Bicycle Race is an annual cycling competition in Norway. Examination of ECG recordings collected from participants of this race may allow defining and evaluating the relationship between physical endurance exercises and heart electrophysiology. Parameters reflecting potentially alarming deviations are to be identified in this study. This paper presents results of a time-domain analysis of ECG data collected in 2014, implementing K-Means clustering. A double stage analysis strategy, aimed at producing hierarchical clusters, is proposed. The first phase allows rough separation of data. Second stage is applied to reveal internal structure of the majority clusters. In both steps, discrepancies driving the separation could stem from three sources. Firstly, they could be signs of abnormalities in electrical activity of the heart. Secondly, they may allow discriminating between natural groups of participants – according to sex, age, physical fitness. Finally, some deviations could result from faults in data extraction, therefore serving in evaluation of the parameters. The clusters were defined predominantly by combinations of features: heartbeat signals correlation, P-wave shape, and RR intervals; none of the features alone was discriminative for all the clusters.

Słowa kluczowe

EN

ECG; principal component analysis; silhouette analysis; clustering

PL

EKG; analiza głównych składowych; grupowanie; klastering

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2018
• Tom: Vol. 12, No. 1
• Strony: 23--32
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Długosz D.

• Łódź University of Technology, Institute of Electronics, ul. Wólczańska 211/215, 90- 924 Łódź, Poland

autor

Eftestøl T.

• University of Stavanger, Faculty of Science and Technology, Department of Electrical and Computer Engineering, 4036 Stavanger, Norway

autor

Królak A.

• Łódź University of Technology, Institute of Electronics, ul. Wólczańska 211/215, 90- 924 Łódź, Poland

autor

Wiktorski T.

• University of Stavanger, Faculty of Science and Technology, Department of Electrical and Computer Engineering, 4036 Stavanger, Norway

autor

Ørn S.

• University of Stavanger, Faculty of Science and Technology, Department of Electrical and Computer Engineering, 4036 Stavanger, Norway

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).