TEAP (Toolbox for Emotion Analysis using Physiological Signals) doc
HST_feat_mean.m
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16 %> @file HST_feat_mean.m
17 %> @brief Computes the mean of the HST signal (aka the mean temperature)
18 %> @b WARNING: this function will give 'strange' results when applied on a relative
19 %> signal
20 %> @author Copyright Frank Villaro-Dixon, 2014
21 %
22 %> @param HSTsignal the HST signal.
23 %> @retval meanTemp the mean temperature, in °C
24 
25 function [meanTemp] = HST_feat_mean(HSTsignal)
26 
27 %Make sure we have a HST signal
28 HSTsignal = HST__assert_type(HSTsignal);
29 
30 
31 if(~Signal__has_preproc_lowpass(HSTsignal))
32  warning(['For the function to work well, you should low-pass the signal' ...
33  '. Preferably with a mean filter']);
34 end
35 
36 if(Signal__get_absolute(HSTsignal) ~= true)
37  warning('The signal was baselined/relative, are you sure you want that ?');
38 end
39 
40 raw = Signal__get_raw(HSTsignal);
41 
42 meanTemp = mean(raw);
43 
44 
Signal__has_preproc_lowpass
function Signal__has_preproc_lowpass(in Signal)
Signal__get_raw
function Signal__get_raw(in Signal)
Signal__get_absolute
function Signal__get_absolute(in Signal)
HST__assert_type
function HST__assert_type(in Signal)
HST_feat_mean
function HST_feat_mean(in HSTsignal)