24 GHz Radar Heart Rate Variability (HRV) Estimation Using Wavelet Transform

Yinyong Zhang; John Soraghan; Gaetano Di Caterina; Carmine Clemente; Christos Ilioudis; Lykourgos Petropoulakis

doi:10.1007/978-3-031-59216-4_22

24 GHz Radar Heart Rate Variability (HRV) Estimation Using Wavelet Transform

Yinyong Zhang, John Soraghan, Gaetano Di Caterina, Carmine Clemente, Christos Ilioudis, Lykourgos Petropoulakis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Abstract

Heart Rate Variability (HRV) is normally detected and extracted from the Electrocardiogram (ECG) and is a significant index of a human body status. The ECG normally use invasive skin contact sensors. A new non-invasive approach of extracting HRV based on wavelet transform from heart movement acquisition method using a 24 GHz radar sensor is presented. An ECG and radar heart movement joint database from 30 subjects is used in this study to validate the performance of the extraction algorithm. It is shown that the proposed radar recording processing method has a consistent performance in locating heart rate, showing the direct link between radar beats and associated ECG dataset R peaks.

Original language	English
Title of host publication	International Conference on Biomedical and Health Informatics 2022. ICBHI 2022
Editors	Esteban Pino, Ratko Magjarevic, Paulo de Carvalho
Pages	203-211
Number of pages	9
Volume	108
ISBN (Electronic)	978-3-031-59216-4
DOIs	https://doi.org/10.1007/978-3-031-59216-4_22
Publication status	Published - 30 Apr 2024

Funding

Authors are grateful to Christoph Will who kindly provided the database of radar based heart recordings file archive that was created by Friedrich-Alexander-Universit\u00E4t Erlangen-N\u00FCrnberg (FAU), to be used for research purposes.

Keywords

Heart Rate Variability (HRV)
Electrocardiogram (ECG)
radar recording processing method
R peaks

Access to Document

10.1007/978-3-031-59216-4_22

Cite this

Zhang, Y., Soraghan, J., Di Caterina, G., Clemente, C., Ilioudis, C., & Petropoulakis, L. (2024). 24 GHz Radar Heart Rate Variability (HRV) Estimation Using Wavelet Transform. In E. Pino, R. Magjarevic, & P. de Carvalho (Eds.), International Conference on Biomedical and Health Informatics 2022. ICBHI 2022 (Vol. 108, pp. 203-211) https://doi.org/10.1007/978-3-031-59216-4_22

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abstract = "Heart Rate Variability (HRV) is normally detected and extracted from the Electrocardiogram (ECG) and is a significant index of a human body status. The ECG normally use invasive skin contact sensors. A new non-invasive approach of extracting HRV based on wavelet transform from heart movement acquisition method using a 24 GHz radar sensor is presented. An ECG and radar heart movement joint database from 30 subjects is used in this study to validate the performance of the extraction algorithm. It is shown that the proposed radar recording processing method has a consistent performance in locating heart rate, showing the direct link between radar beats and associated ECG dataset R peaks.",

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24 GHz Radar Heart Rate Variability (HRV) Estimation Using Wavelet Transform. / Zhang, Yinyong ; Soraghan, John ; Di Caterina, Gaetano et al.
International Conference on Biomedical and Health Informatics 2022. ICBHI 2022. ed. / Esteban Pino; Ratko Magjarevic; Paulo de Carvalho. Vol. 108 2024. p. 203-211.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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T1 - 24 GHz Radar Heart Rate Variability (HRV) Estimation Using Wavelet Transform

AU - Zhang, Yinyong

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AU - Ilioudis, Christos

AU - Petropoulakis, Lykourgos

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AB - Heart Rate Variability (HRV) is normally detected and extracted from the Electrocardiogram (ECG) and is a significant index of a human body status. The ECG normally use invasive skin contact sensors. A new non-invasive approach of extracting HRV based on wavelet transform from heart movement acquisition method using a 24 GHz radar sensor is presented. An ECG and radar heart movement joint database from 30 subjects is used in this study to validate the performance of the extraction algorithm. It is shown that the proposed radar recording processing method has a consistent performance in locating heart rate, showing the direct link between radar beats and associated ECG dataset R peaks.

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KW - R peaks

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ER -

24 GHz Radar Heart Rate Variability (HRV) Estimation Using Wavelet Transform

Abstract

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Keywords

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