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Spectrum Analysis of Heart Rate Variability (HRV)

Cui, Tiying (2013) MASM01 20132
Mathematical Statistics
Abstract (Swedish)
Heart Rate Variability (HRV) is the physiological phenomenon of variation in the time
interval between heartbeats. High frequency (HF) HRV signals (0.12-0.4 Hz), especially, has
been linked to parasympathetic nervous system (PSNS) activity. Activity in this range is
associated with the respiratory sinus arrhythmia (RSA). In this thesis, we are interested in the
differences between the power of HF-HRV in lying down position and standing up position,
using analysis the HRV signal in frequency domain. Four non-parametric window spectrum
methods are introduced for estimating the Power Spectra Density (PSD). Then the power of
HRV is calculated using a traditional bandwidth [0.12-0.4] as well as a designed new
bandwidth [ f0 ± B ], where... (More)
Heart Rate Variability (HRV) is the physiological phenomenon of variation in the time
interval between heartbeats. High frequency (HF) HRV signals (0.12-0.4 Hz), especially, has
been linked to parasympathetic nervous system (PSNS) activity. Activity in this range is
associated with the respiratory sinus arrhythmia (RSA). In this thesis, we are interested in the
differences between the power of HF-HRV in lying down position and standing up position,
using analysis the HRV signal in frequency domain. Four non-parametric window spectrum
methods are introduced for estimating the Power Spectra Density (PSD). Then the power of
HRV is calculated using a traditional bandwidth [0.12-0.4] as well as a designed new
bandwidth [ f0 ± B ], where f0 is the corresponding peak frequency from RSA spectrum. From
combing different methods with different bandwidths; the resulting estimated power are
compared in two different positions in many ways. In the end, the hypothesis tests are
constructed to check if there exists a significant difference in the mean and variance for
different methods with for different bandwidths. Moreover, the robust methods are applied to
analysis the HRV signal during some Yoga breathing exercises. All data in used are collected
from a pre-designed experiment in February that held in IKDC in Lund. (Less)
Please use this url to cite or link to this publication:
author
Cui, Tiying
supervisor
organization
course
MASM01 20132
year
type
H2 - Master's Degree (Two Years)
subject
language
English
id
4092312
date added to LUP
2013-10-16 15:25:40
date last changed
2013-10-16 15:25:40
@misc{4092312,
  abstract     = {Heart Rate Variability (HRV) is the physiological phenomenon of variation in the time
interval between heartbeats. High frequency (HF) HRV signals (0.12-0.4 Hz), especially, has
been linked to parasympathetic nervous system (PSNS) activity. Activity in this range is
associated with the respiratory sinus arrhythmia (RSA). In this thesis, we are interested in the
differences between the power of HF-HRV in lying down position and standing up position,
using analysis the HRV signal in frequency domain. Four non-parametric window spectrum
methods are introduced for estimating the Power Spectra Density (PSD). Then the power of
HRV is calculated using a traditional bandwidth [0.12-0.4] as well as a designed new
bandwidth [ f0 ± B ], where f0 is the corresponding peak frequency from RSA spectrum. From
combing different methods with different bandwidths; the resulting estimated power are
compared in two different positions in many ways. In the end, the hypothesis tests are
constructed to check if there exists a significant difference in the mean and variance for
different methods with for different bandwidths. Moreover, the robust methods are applied to
analysis the HRV signal during some Yoga breathing exercises. All data in used are collected
from a pre-designed experiment in February that held in IKDC in Lund.},
  author       = {Cui, Tiying},
  language     = {eng},
  note         = {Student Paper},
  title        = {Spectrum Analysis of Heart Rate Variability (HRV)},
  year         = {2013},
}