Research Article

Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics

Table 1

List of studied features.

FeatureDescriptionEquation

MMean value of the R-R(1)
HRHeart rate(2)
SDNNStandard deviation of the R-R(3)
CVCoefficient of the variation(4)
RMSSDSquare root of mean of squares of differences between successive R-R(5)
NN50Variation higher than 50 ms in R-R signal
M0Mode of the R-R signal
VRVariation range of the R-R signal
AM0Amplitude of the mode
SIStress index(6)
IABIndex of autonomic balance(7)
ARIAutonomic rhythm index(8)
IARPIndex of adequate regulation processes(9)
HF(Fr)High frequency Fourier spectral power
LF(Fr)Low frequency Fourier spectral power
VLF(Fr)Very low frequency Fourier spectral power
TP(Fr)Total power of the Fourier spectrum
LF/HF(Fr)Autonomic balance exponent of the Fourier spectrum
HFmax(Fr)Maximum power of the HF
HFn(Fr), LFn(Fr), and VLFn(Fr)Normalized power of the HF, LF, and VLF Fourier spectrum(10)
ICIndex of centralization(11)
IASIndex of the subcortical nervous center’s activation(12)
RFRespiration frequency
HF(wt)High frequency wavelet spectral power
LF(wt)Low frequency wavelet spectral power
VLF(wt)Very low frequency wavelet spectral power
HFn(wt), LFn(wt), and VLFn(wt)Normalized power of the HF, LF, and VLF wavelet spectrum
SDHF(wt), SDLF(wt), and SDVLF(wt)Standard deviations of the HF(t), LF(t), and VLF(t) wavelet time series
TP(wt)Total power of the wavelet spectrum
LF/HF(wt)Autonomic balance exponent of the wavelet spectrum
(LF/HF)maxMaximal value of dysfunctions
(LF/HF)intIntensity of dysfunctions
NdNumber of dysfunctions
HHurst exponent(13)
αmin LF, αmin VLFSmallest fluctuations of the LF and VLF spectral band
αmax LF, αmax VLFGreatest fluctuations of the LF and VLF spectral band
WLF, WVLFSpectrum width of the LF and VLF spectral band
H2LF, H2VLFCorrelation degree of the LF and VLF spectral band
H0LF, H0VLFSpectrum height of the LF and VLF spectral band
W1/2LF, W1/2VLF1/2-width measure of the LF and VLF spectral band