Registration contact: susanberntson@columbus.rr.com
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Session Outline:
HRV Science and Technology Session
I. Introduction- Historical Overview
1) What is HRV and why is it of interest
2) What is RSA (HF) and why is it of interest
II. Origins and Mechanisms of HRV
1) What are the physiological mechanisms of HRV
a. Physiological (nonautonomic) contributions
b. Autonomic contributions
c. Hormonal and other contributions
2) Which of these are important in RSA?
a. Sources of respiratory modulation
b. Kinetcis of sympathetic and parasympathetic sinoatrial innervation
3) What about non-respiratory frequencies (ultra-low, very low, and low frequency
III. Quantification of HRV
1) Time domain vs. frequency domain approaches to measurement
2) Signal Processing considerations
3) Time domain measures, Peak Valley, Moving Polynomial
4) Frequency Domain approaches
a. Methodological considerations with time series statistics
b. Sample rate – Nyquist Frequency and aliasing
c. Epoch length – Stationarity
d. Fourier Theorem and FFT
e. Autoregressive (AR) methods
f. Other approaches
IV. Significance and Interpretation of HRV
1) HF HR variability
2) LF, VLF, ULF HR variability
3) HF/LF ratio
4) Polyvagal Theory
5) Autonomic flexibility
6) Psychosomatic considerations
V. New perspectives and applications
HRV Practicum & Applications Session
I, Signal Acquisition
1) ECG
a. Origins
b. Einthoven’s triangle
c. Leads and electrode considerations in monitoring
d. Recording considerations, amplification, filters, etc
2) Other approaches and limitations
a. Acoustic or optical approaches
b. Echo, etc
II. Signal Processing
1) Sample rate revisited—aliasing
2) Stationarity revisited
1) testing for stationarity
2) dealing with non stationarites
3) Selection of epoch lengths
4) Artifacts and artifact processing
a. missing beats, spurious beats
b. abnormal rhythms—considerations for HRV analyses
c. Correcting versus interpolation
III. Sample analysis
1) Typical FFT analysis
d. Generation of a time series—and how not to!
e. Detrending
f. Tapering
g. FFT analysis
2) Results of FFT
a. FFT plots
b Integration – frequency bands
c Reals and imaginaries—digital filtering
d. Reverse FFT
3) Analyzing the FFT
a. Basic Data- Frequency bands and scientific question
b. Epoch length & aggregation across epochs
c. Analysis of variance (covariates)
d. Regression approaches
IV.Interpretive Issues
1) Respiratory confounds
a. Amplitude and frequency variations
b. Bandwidth boundaries and frequency artifacts
c. RSA-frequency functions
2) Significance of HRV components
3) Parasympathetic (Vagal) tone – what is it
4) Respiratory Sinus arrhythmia vs. vagal tone
5) Assessing Sympathetic/parasympathetic balance
6) Reliability
7) Validity & Gold Standard
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