Insights on Spectral Measures for HRV Based on a Novel Approach for Data Acquisition
(2018) In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 2018. p.510-513- Abstract
In this paper, we present new insights on classical spectral measures for heart rate variability (HRV), based on a novel method for HRV acquisition. A dynamic breathing task, where the test participants are asked to breathe following a metronome with slowly increasing frequency, allows for the acquisition of respiratory-related HRV-data covering the frequency range in which adults breathe in different everyday situations. We discuss how the use of a time-frequency representation, e.g. the spectrogram or the Wigner-Ville distribution, should be preferred to the traditional use of the periodogram, due to the non-stationarity of the data. We argue that this approach can highlight the correlation of spectral measures such as low-frequency... (More)
In this paper, we present new insights on classical spectral measures for heart rate variability (HRV), based on a novel method for HRV acquisition. A dynamic breathing task, where the test participants are asked to breathe following a metronome with slowly increasing frequency, allows for the acquisition of respiratory-related HRV-data covering the frequency range in which adults breathe in different everyday situations. We discuss how the use of a time-frequency representation, e.g. the spectrogram or the Wigner-Ville distribution, should be preferred to the traditional use of the periodogram, due to the non-stationarity of the data. We argue that this approach can highlight the correlation of spectral measures such as low-frequency and high-frequency HRV with relevant factors as age, gender and Body-Mass-Index, thanks to the improved quality of the spectral measures.
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- author
- Anderson, Rachele LU ; Jönsson, Peter and Sandsten, Maria LU
- organization
- publishing date
- 2018-07
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Heart rate variability, Time-Frequency Analysis, Spectrogram, Wigner-Ville distribution
- in
- Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
- volume
- 2018
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- pmid:30440446
- scopus:85056638579
- ISSN
- 1557-170X
- DOI
- 10.1109/EMBC.2018.8512423
- language
- English
- LU publication?
- yes
- id
- 5c7c7caf-f248-4121-a9ea-fbfa55bb06e8
- date added to LUP
- 2018-12-16 19:17:39
- date last changed
- 2024-06-25 02:46:02
@article{5c7c7caf-f248-4121-a9ea-fbfa55bb06e8, abstract = {{<p>In this paper, we present new insights on classical spectral measures for heart rate variability (HRV), based on a novel method for HRV acquisition. A dynamic breathing task, where the test participants are asked to breathe following a metronome with slowly increasing frequency, allows for the acquisition of respiratory-related HRV-data covering the frequency range in which adults breathe in different everyday situations. We discuss how the use of a time-frequency representation, e.g. the spectrogram or the Wigner-Ville distribution, should be preferred to the traditional use of the periodogram, due to the non-stationarity of the data. We argue that this approach can highlight the correlation of spectral measures such as low-frequency and high-frequency HRV with relevant factors as age, gender and Body-Mass-Index, thanks to the improved quality of the spectral measures.</p>}}, author = {{Anderson, Rachele and Jönsson, Peter and Sandsten, Maria}}, issn = {{1557-170X}}, keywords = {{Heart rate variability; Time-Frequency Analysis; Spectrogram; Wigner-Ville distribution}}, language = {{eng}}, pages = {{510--513}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings}}, title = {{Insights on Spectral Measures for HRV Based on a Novel Approach for Data Acquisition}}, url = {{http://dx.doi.org/10.1109/EMBC.2018.8512423}}, doi = {{10.1109/EMBC.2018.8512423}}, volume = {{2018}}, year = {{2018}}, }