TEAP (Toolbox for Emotion Analysis using Physiological Signals) doc
RES_feat_energy.m
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16 %> @file RES_feat_energy.m
17 %> @brief Computes the energy of a respiration signal.
18 %
19 %> @param RESsignal: the RES signal.
20 %
21 %> @retval energy: the energy of the signal
22 %
23 %> @author Copyright Guillaume Chanel, Frank Villaro-Dixon, 2013-2014
24 %> @author Copyright Frank Villaro-Dixon, 2014
25 function [energy] = RES_feat_energy(RESsignal)
26 
27 %Make sure we have a RES signal
28 RESsignal = RES__assert_type(RESsignal);
29 
30 %Compute the features
31 if(~Signal__has_preproc_lowpass(RESsignal))
32  warning(['For the function to work well, you should low-pass the signal' ...
33  '. Preferably with a median filter']);
34 end
35 
36 raw = Signal__get_raw(RESsignal);
37 
38 energy = var(raw);
39 
Signal__has_preproc_lowpass
function Signal__has_preproc_lowpass(in Signal)
RES_feat_energy
function RES_feat_energy(in RESsignal)
Signal__get_raw
function Signal__get_raw(in Signal)
RES__assert_type
function RES__assert_type(in Signal)