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. Author manuscript; available in PMC: 2013 Mar 15.
Published in final edited form as: J Neurosci Methods. 2011 Dec 9;204(2):276–287. doi: 10.1016/j.jneumeth.2011.12.001

Table 1.

Labels and description of the 23 features used for SVMs and automated scoring of wakefulness and sleep.

Label Description

SID Standard deviation of consecutive image difference

SNR _(L/H) Respiratory signal to noise ratio
K_(L/H) Kurtosis of raw signal
RFQ_(L/H) Respiratory frequency
SAC_(L/H) Standard deviation for autocorrelation of signal
KAC_(L/H) Kurtosis for autocorrelation of signal
MAC_(L/H) Mean autocorrelation of signal
K_PSD Kurtosis of power spectral density
S_PSD Skewness of power spectral density
MPL1 Mean power spectral density (0.1–1HZ)
MP1-3 Mean power spectral density (1–3HZ)
MP3-5 Mean power spectral density (3–5HZ)
MP5-8 Mean power spectral density (3–5HZ)
MP8-15 Mean power spectral density (8–15HZ)
TPSD Total Power spectral density
DP2AR_(L/H) Distance from power spectral density peak in the 1–3 Hz range to the average respiratory peak position (2.1 Hz)

(L/H): denotes whether the raw signal was from the lower analog band pass filter channel (L) or from the higher filter channels (H). Thus, labels with the L/H designation indicate two separate features. Power spectral densities (MPL1, MP1-3, MP5-8, MP8-15, TPSD), kurtosis for power spectral density (K_PSD), and skewness of power spectral density (S_PSD) were derived only from the L channel. SID was obtained from the infrared camera. All other features were obtained from the radar sensor.