Research Article

[Retracted] Internet of Things-Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning

Table 1

Feature extraction [45].

Feature nameDescriptionFB

spectral_powerSpectral power: absoluteYes
spectral_relative_powerSpectral power: relative (normalised to total spectral power)Yes

spectral_flatnessSpectral entropy: Wiener (measure of spectral flatness)Yes

spectral_entropySpectral entropy: ShannonYes

spectral_diffDifference between consecutive short-time spectral estimatesYes
spectral_edge_frequencyCut-off frequency (fc): 95% of spectral power contained between 0.5 and fc HzNo
FDFractal dimensionYes
amplitude_total_powerTime-domain signal: total powerYes
amplitude_SDTime-domain signal: standard deviationYes

amplitude_skewTime-domain signal: skewness (absolute value)Yes

amplitude_kurtosisTime-domain signal: kurtosisYes

amplitude_env_meanEnvelope: mean valueYes
amplitude_env_SDEnvelope: standard deviation (SD)Yes
connectivity_BSIbrain symmetry index (see Van Putten 2007)Yes
connectivity_corrCorrelation (Spearman) between envelopes of hemisphere-paired channelsYes
connectivity_coh_meanCoherence: mean valueYes

connectivity_coh_maxCoherence: maximum valueYes

connectivity_coh_freqmaxCoherence: frequency of maximum valueYes

rEEG_meanRange EEG: meanYes
rEEG_medianRange EEG: medianYes
rEEG_lower_marginRange EEG: lower margin (5th percentile)Yes

rEEG_upper_marginRange EEG: upper margin (95th percentile)Yes

rEEG_widthRange EEG: upper margin-lower marginYes

rEEG_SDRange EEG: standard deviationYes
rEEG_CVRange EEG: coefficient of variationYes
rEEG_asymmetryRange EEG: measure of skew about medianYes
IBI_length_maxBurst annotation: maximum (95th percentile) interburst intervalNo
IBI_length_medianBurst annotation: median interburst intervalNo

IBI_burst_prcBurst annotation: burst percentageNo

IBI_burst_numberBurst annotation: number of burstsNo

FB: features generated for each frequency band (FB).