Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction

Szymon Siecinski; Laura Pauline Scherf; Marcin Grzegorzek

doi:10.1109/IEEECONF58974.2023.10405047

Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction

Szymon Siecinski
, Laura Pauline Scherf
, Marcin Grzegorzek

Department of Medical Informatics and Artificial Intelligence (RIB/RIB1)

University of Lübeck

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This study presents the evaluation of cardiovascular signals (electrocardiograms, seismocardiograms, and gyrocardiograms) based on features derived from symmetric projection attractor reconstruction (SPAR). We assessed five classifiers: random forests, bagged trees, gradient boosting, multilayer perceptron, and support vector machine. The highest accuracy was achieved for bagged trees in ECG signals (0.6667) and the lowest overall accuracy for the multilayer perceptron in SCG signals (0.3333). The results showed that five classifiers fed features derived from SPAR can be used to assess the quality of cardiovascular signals.

Original language	English
Title of host publication	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	161-162
Number of pages	2
ISBN (Electronic)	9798350383386
DOIs	https://doi.org/10.1109/IEEECONF58974.2023.10405047
Publication status	Published - 2023
Event	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 - Malta, Malta Duration: 7 Dec 2023 → 9 Dec 2023

Publication series

Name	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

Conference

Conference	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Country/Territory	Malta
City	Malta
Period	7/12/23 → 9/12/23

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Information Systems
Decision Sciences (miscellaneous)
Information Systems and Management
Biomedical Engineering
Health Informatics

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10.1109/IEEECONF58974.2023.10405047

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Siecinski, S., Scherf, L. P., & Grzegorzek, M. (2023). Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction. In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 (pp. 161-162). (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEECONF58974.2023.10405047

Siecinski, Szymon ; Scherf, Laura Pauline ; Grzegorzek, Marcin. / Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 161-162 (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023).

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title = "Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction",

abstract = "This study presents the evaluation of cardiovascular signals (electrocardiograms, seismocardiograms, and gyrocardiograms) based on features derived from symmetric projection attractor reconstruction (SPAR). We assessed five classifiers: random forests, bagged trees, gradient boosting, multilayer perceptron, and support vector machine. The highest accuracy was achieved for bagged trees in ECG signals (0.6667) and the lowest overall accuracy for the multilayer perceptron in SCG signals (0.3333). The results showed that five classifiers fed features derived from SPAR can be used to assess the quality of cardiovascular signals.",

author = "Szymon Siecinski and Scherf, \{Laura Pauline\} and Marcin Grzegorzek",

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doi = "10.1109/IEEECONF58974.2023.10405047",

language = "English",

series = "2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Siecinski, S, Scherf, LP & Grzegorzek, M 2023, Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction. in 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023, Institute of Electrical and Electronics Engineers Inc., pp. 161-162, 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023, Malta, Malta, 7/12/23. https://doi.org/10.1109/IEEECONF58974.2023.10405047

Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction. / Siecinski, Szymon; Scherf, Laura Pauline; Grzegorzek, Marcin.
2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 161-162 (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction

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AU - Scherf, Laura Pauline

AU - Grzegorzek, Marcin

PY - 2023

Y1 - 2023

N2 - This study presents the evaluation of cardiovascular signals (electrocardiograms, seismocardiograms, and gyrocardiograms) based on features derived from symmetric projection attractor reconstruction (SPAR). We assessed five classifiers: random forests, bagged trees, gradient boosting, multilayer perceptron, and support vector machine. The highest accuracy was achieved for bagged trees in ECG signals (0.6667) and the lowest overall accuracy for the multilayer perceptron in SCG signals (0.3333). The results showed that five classifiers fed features derived from SPAR can be used to assess the quality of cardiovascular signals.

AB - This study presents the evaluation of cardiovascular signals (electrocardiograms, seismocardiograms, and gyrocardiograms) based on features derived from symmetric projection attractor reconstruction (SPAR). We assessed five classifiers: random forests, bagged trees, gradient boosting, multilayer perceptron, and support vector machine. The highest accuracy was achieved for bagged trees in ECG signals (0.6667) and the lowest overall accuracy for the multilayer perceptron in SCG signals (0.3333). The results showed that five classifiers fed features derived from SPAR can be used to assess the quality of cardiovascular signals.

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DO - 10.1109/IEEECONF58974.2023.10405047

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BT - 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 7 December 2023 through 9 December 2023

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Siecinski S, Scherf LP, Grzegorzek M. Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction. In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 161-162. (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023). doi: 10.1109/IEEECONF58974.2023.10405047

Evaluation of the quality of electrocardiograms, seismocardiograms and gyrocardiograms based on characteristics derived from symmetric projection attractor reconstruction

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