The analysis of mental stress using time-frequency distribution of heart rate variability signal
Conventional power spectrum methods based on fast Fourier transform (FFT), autoregressive(AR) model are not appropriate for analyzing biomedical signals whose spectral characteristics change rapidly. On the other hand, time-frequency analysis has more desirable characteristics of a time-varying spec...
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Published in | The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 1; pp. 283 - 285 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2004
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Subjects | |
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Abstract | Conventional power spectrum methods based on fast Fourier transform (FFT), autoregressive(AR) model are not appropriate for analyzing biomedical signals whose spectral characteristics change rapidly. On the other hand, time-frequency analysis has more desirable characteristics of a time-varying spectrum. In this study, we investigated the spectral components of heart rate variability (HRV) in a time-frequency domain. Then, from the instantaneous frequency, obtained from time-frequency distribution, the method extracting frequency components of HRV was proposed. The subjects were 17 healthy young men. A coin-stacking task was used to induce mental stress. In the results, the emotional stress of subjects produced an increase in sympathetic activity. Sympathetic activation was responsible for the significant increase in the LF/HF ratio. The subjects were divided into two groups with task ability. The subject who had higher mental stress had a lack of task ability. |
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AbstractList | Conventional power spectrum methods based on fast Fourier transform (FFT), autoregressive(AR) model are not appropriate for analyzing biomedical signals whose spectral characteristics change rapidly. On the other hand, time-frequency analysis has more desirable characteristics of a time-varying spectrum. In this study, we investigated the spectral components of heart rate variability (HRV) in a time-frequency domain. Then, from the instantaneous frequency, obtained from time-frequency distribution, the method extracting frequency components of HRV was proposed. The subjects were 17 healthy young men. A coin-stacking task was used to induce mental stress. In the results, the emotional stress of subjects produced an increase in sympathetic activity. Sympathetic activation was responsible for the significant increase in the LF/HF ratio. The subjects were divided into two groups with task ability. The subject who had higher mental stress had a lack of task ability. |
Author | Lee, J.S. Seong, H.M. Kim, W.S. Shin, T.M. Yoon, Y.R. |
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CitedBy_id | crossref_primary_10_1007_s11227_022_04387_6 crossref_primary_10_1080_14639220902836547 crossref_primary_10_1007_s12652_018_1102_y crossref_primary_10_1016_j_bspc_2022_103758 crossref_primary_10_1371_journal_pone_0228039 crossref_primary_10_3389_fpsyg_2022_987149 crossref_primary_10_1038_s41598_018_21383_0 crossref_primary_10_1186_1687_5281_2014_28 crossref_primary_10_1109_TAFFC_2015_2490062 |
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Snippet | Conventional power spectrum methods based on fast Fourier transform (FFT), autoregressive(AR) model are not appropriate for analyzing biomedical signals whose... |
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SubjectTerms | Blood flow Cardiology Fast Fourier transforms Hafnium Heart beat Heart rate variability HRV Human factors mental stress Signal analysis Spectral analysis Time frequency analysis |
Title | The analysis of mental stress using time-frequency distribution of heart rate variability signal |
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