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An Efficient Algorithm for Spectral Analysis of Heart Rate Variability

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TLDR
It is demonstrated that the amplitude spectrum of this heart rate signal more closely matches that of the input signal to an integral pulse frequency modulation model of the heart's pacemaker than do the spectra of other ECG-derived heart rate signals.
Abstract: 
We present a simple efficient algorithm for the derivation of a heart rate signal from the electrocardiogram. We demonstrate that the amplitude spectrum of this heart rate signal more closely matches that of the input signal to an integral pulse frequency modulation (IPFM) model of the heart's pacemaker than do the spectra of other ECG-derived heart rate signals. The applicability of this algorithm in cross-spectral analysis between heart rate and other physiologic signals is also discussed.

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Citations
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Journal ArticleDOI

Heart rate variability: Origins, methods, and interpretive caveats

TL;DR: In this article, the authors examined the physiological origins and mechanisms of heart rate variability, considered quantitative approaches to measurement, and highlighted important caveats in the interpretation of heart rates variability, and outlined guidelines for research in this area.
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Heart rate variability: a review

TL;DR: The various applications of HRV and different linear, frequency domain, wavelet domain, nonlinear techniques used for the analysis of the HRV are discussed.
Journal ArticleDOI

Emotion recognition system using short-term monitoring of physiological signals.

TL;DR: A physiological signal-based emotion recognition system is reported, developed to operate as a user-independent system, based on physiological signal databases obtained from multiple subjects, and consisted of preprocessing, feature extraction and pattern classification stages.
Journal ArticleDOI

Transfer function analysis of the circulation: unique insights into cardiovascular regulation.

TL;DR: The transfer functions between respiration, heart rate (HR), and phasic, systolic, diastolic, and pulse arterial pressures in 14 healthy subjects during 6-min periods in which the respiratory rate was controlled in a predetermined but erratic fashion are determined.
References
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Journal ArticleDOI

Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control

TL;DR: It is shown that sympathetic and parasympathetic nervous activity make frequency-specific contributions to the heart rate power spectrum, and that renin-angiotensin system activity strongly modulates the amplitude of the spectral peak located at 0.04 hertz.
Journal ArticleDOI

Spectrum analysis—A modern perspective

TL;DR: In this paper, a summary of many of the new techniques developed in the last two decades for spectrum analysis of discrete time series is presented, including classical periodogram, classical Blackman-Tukey, autoregressive (maximum entropy), moving average, autotegressive-moving average, maximum likelihood, Prony, and Pisarenko methods.
Journal Article

Assessment of autonomic function in human by heart rate spectral analysis

TL;DR: In this paper, the authors assessed spontaneous heart rate fluctuations by use of autonomic blocking agents and changes in posture, and found that low-frequency fluctuations (below 0.12 Hz) in the supine position are mediated entirely by the parasympathetic nervous system.
Journal ArticleDOI

Assessment of autonomic function in humans by heart rate spectral analysis

TL;DR: In this paper, the authors assessed spontaneous heart rate fluctuations by use of autonomic blocking agents and changes in posture, and found that low-frequency fluctuations (below 0.12 Hz) in the supine position are mediated entirely by the parasympathetic nervous system.
Journal ArticleDOI

Hemodynamic regulation: investigation by spectral analysis

TL;DR: It is found that respiratory frequency fluctuations in HR are parasympathetically mediated and that blood pressure fluctuations at this frequency result almost entirely from the direct effect of centrally mediated HR fluctuations, and the sympathetic nervous system appears to be too sluggish to mediate respiratory frequency variations.
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