Continuous wavelet analysis: A new method for studying nonstationary oscillations in the cardiac rhythm

Kuklin, S. G.; Дзизинский, А. А.; Titov, Yu. M.; Темников, Андрей Александрович

doi:10.1134/s0362119706010178

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…The main drawback of the STFT is the trade-off between time and frequency resolution, called the Heisenberg uncertainty principle. Therefore, this study applies the wavelet decomposition technique (Percival and Walden 2000;Kuklin et al 2006) resulting in a good frequency resolution at the lowest frequencies and a good time resolution at the highest frequencies. A decomposition of a time signal x(s) with wavelets starts from one mother wavelet, W t,a (s), which can be shifted (time t) and dilated (scale a).…”

Section: Time-frequency Heart Rate Variability Analysismentioning

confidence: 99%

Instantaneous changes in heart rate regulation due to mental load in simulated office work

et al. 2010

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The cardiac regulation effects of a mental task added to regular office work are described. More insight into the time evolution during the different tasks is created by using time-frequency analysis (TFA). Continuous wavelet transformation was applied to create time series of instantaneous power and frequency in specified frequency bands (LF 0.04-0.15 Hz; HF 0.15-0.4 Hz), in addition to the traditional linear heart rate variability (HRV) parameters. In a laboratory environment, 43 subjects underwent a protocol with three active conditions: a clicking task with low mental load and a clicking task with high mental load (mental arithmetic) performed twice, each followed by a rest condition. The heart rate and measures related to vagal modulation could differentiate the active conditions from the rest condition, meaning that HRV is sensitive to any change in mental or physical state. Differences between physical and mental stress were observed and a higher load in the combined task was observed. Mental stress decreased HF power and caused a shift toward a higher instantaneous frequency in the HF band. TFA revealed habituation to the mental load within the task (after 3 min) and between the two tasks with mental load. In conclusion, the use of TFA in this type of analysis is important as it reveals extra information. The addition of a mental load to a physical task elicited further effect on HRV parameters related to autonomic cardiac modulation.

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Section: Time-frequency Heart Rate Variability Analysismentioning

confidence: 99%

Instantaneous changes in heart rate regulation due to mental load in simulated office work

et al. 2010

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Time-frequency heart rate variability characteristics of young adults during physical, mental and combined stress in laboratory environment

Taelman

Vandeput

Gligorijević

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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The goal of this study was to evaluate the changes in heart rate variability (HRV) parameters due to a specific physical, mental or combined load. More specifically, the difference in effect between mental load and physical activity is studied. In addition, the effect of the combined physical and mental demand on the HRV parameters was examined and compared with the changes during the single task. In a laboratory environment, 28 subjects went through a protocol with different types of load (physical and/or mental), each followed by a period of rest. Continuous wavelet transformation was applied to create time series of instantaneous power and frequency in specified frequency bands (LF and HF). HF could distinguish the active conditions from the rest condition, meaning that HRV is sensitive to any change in mental or physical state. Differences in HRV parameters were observed between physical, mental and the combined load. In conclusion, we were able to distinguish between rest, physical and mental condition by combining different HRV characteristics. The addition of a mental load to a physical task had an extra effect on the HRV characteristics.

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Physiological Information for Pavement Health Monitoring Based on Surface Ride Quality

Tomiyama¹,

Kawamura²,

Takahashi³

et al. 2011

J. JSCE, Ser. F3

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Continuous wavelet analysis: A new method for studying nonstationary oscillations in the cardiac rhythm

Cited by 3 publications

References 7 publications

Instantaneous changes in heart rate regulation due to mental load in simulated office work

Instantaneous changes in heart rate regulation due to mental load in simulated office work

Time-frequency heart rate variability characteristics of young adults during physical, mental and combined stress in laboratory environment

Physiological Information for Pavement Health Monitoring Based on Surface Ride Quality

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