File List

Here is a list of all files with brief descriptions:

[detail level 12345]

▼ src
▼ bulksigs
► loading
Bulk_load.m	Loads a bdf file, into a TEAP bulk signal, containing EEG, ECG, GSR, etc
Bulk_load_eeglab.m	Loads an EEGLab variable, into a TEAP bulk signal, containing EEG, ECG, GSR, etc
► visualisation
Bulk_plot.m	Plots a bulk signal: for each signal of the bulk signal, creates a figure and displays the signal
Bulk_add_signal.m	Adds a signal to the bulk signal (and I love repetitions)
Bulk_assert_mine.m	Asserts that the signal is a TEAP bulk signal
Bulk_get_signal.m	Takes a specific signal from a bulk signal
Bulk_get_signals.m	Gets the list of the signals of the bulk signal. Ex: ['GSR'; 'EEG']
Bulk_new_empty.m	Creates a new empty Bulk signal
Bulk_update_signal.m	Updates a signal in the bulk signal
▼ signals
► BVP
► acquisition
BVP_aqn_variable.m	BVP_aqn_variable gets a BVP signal from a variable
► examples
BVP_feat_IBI_example.m
► features
BVP__compute_IBI.m	Computes the IBI if it is not yet available
BVP_feat_BPM.m	Computes the BPM from a BVP signal
BVP_feat_extr.m	Computes BVP features
BVP_feat_mean.m	Computes the mean of a BVP signal
BVP_feat_std.m	Computes the std of a BVP signal
BVP_feat_var.m	Computes the variance of a BVP signal
BVP__assert_type.m	Asserts that the given signal is a BVP one Please refer to Signal__assert_type for more and extensive documentation ;)
BVP__get_signame.m	Returns the name of a BVP signal
BVP__new_empty.m	Creates a new BVP empty signal
BVP_filter_basic.m	Cleans a signal adding a low-pass median filter to it. The window equals the sample rate, aka 1 sec
► DMY
► acquisition
DMY_aqn_file.m
► examples
DMY_example_1.m
► features
DMY_feat_feat1.m	Computes feature feat1 from a DMY signal Signal. The result is stored in the signal cache, then returned
DMY_assert_type.m
DMY_get_signame.m	Returns the name of a DMY signal
DMY_new_empty.m
► ECG
► acquisition
ECG_aqn_variable.m	ECG_aqn_variable gets an ECG signal from a variable
► examples
ECG_feat_IBI_example.m
► features
ECG__compute_IBI.m	Computes the IBI if it is not yet available
ECG_feat_extr.m	Computes ECG features
ECG_feat_IBImean.m	Computes the InterBeatInterval mean of an ECG signal
ECG_feat_IBIvar.m	Computes the InterBeatInterval variance of an ECG signal
► tests
ECG_feat_IBI_test.m
ECG__assert_type.m	Makes sure that the given signal is an ECG one Please refer to Signal__assert_type for more documentation
ECG__get_signame.m	Get the name of a ECG signal
ECG__new_empty.m	Creates a new ECG empty signal
► EEG
► acquisition
EEG_aqn_variable.m	EEG_aqn_variable gets an EEG signal from a variable
► examples
EEG_aqn_var_example.m
► features
EEG_feat_bandENR.m	Computes the band energy (trial/baseline) for the EEG signal
EEG_feat_extr.m	Computes Skin respiration features
EEG__assert_type.m	Asserts that the given signal is an EEG one Please refer to Signal__assert_type for more extensive documentation
EEG__get_signame.m	Gets the name of a EEG signal
EEG__new_empty.m	Creates a new EEG empty signal
EEG_get_channel.m	Gets the channel data from the EEG signal
EEG_get_elname.m	Gets the electrode name from a number
EEG_has_channel.m	Simply tells you if that specific channel on the EEG signal exists
EEG_reference_mean.m	Re-references the EEG signals to their mean Creates a reference for the EEG signal; removed average reference' the signal
EEG_set_channel.m	Sets the channel 'channelName' of the EEG signal
► EMG
► acquisition
EMG_aqn_variable.m	EMG_aqn_variable gets an EMG signal from a variable USAGE: If you've got the signal from the 2 electrodes, you must call the function like that:
► features
EMG_feat_extr.m	Computes Skin EMG featuEMG
EMG__assert_type.m	Makes sure that the given signal is an EMG one Please refer to Signal__assert_type for more documentation
EMG__get_signame.m	Get the name of a EMG signal
EMG__new_empty.m	Creates a new EMG empty signal
► filters
Signal__has_preproc_lowpass.m	Has the signal been low-passed ?
Signal__set_preproc_lowpass.m	Sets the pre-processing property of low-pass for the signal
Signal_filter1_low_mean.m	Filters the signal with a low pass mean filtering
Signal_filter1_low_median.m	Filters the signal with a low pass median filtering method
Signal_filter1_low_pass.m	A simple low-pass filter applyed to 1D signals (such as GSR, ECG, etc…)
► GSR
► acquisition
GSR_aqn_variable.m	GSR_aqn_variable gets a GSR signal from a variable
► examples
GSR_feat_peaks_example.m	Loads a GSR signal, computes it's attributes and displays the signal
► features
GSR_feat_extr.m	Computes GSR features
GSR_feat_peaks.m	Computes the number of peaks from a GSR signal. It is based on the analysis of local minima and local maxima preceding the local minima
► tests
GSR_feat_peaks_test.m
GSR__assert_type.m	Makes sure that the given signal is a GSR one Please refer to it's father function (Signal__assert_type()) for more doc ;)
GSR__get_signame.m	Gets the name of a GSR signal
GSR__new_empty.m	Creates a new GSR empty signal
GSR_filter_basic.m	Cleans a signal adding a low-pass mean filter to it. The window equals the sample rate, aka 1 sec
► HST
► acquisition
HST_aqn_variable.m	HST_aqn_variable gets a HST signal from a variable
► examples
HST_feat_example.m
► features
HST_feat_extr.m	Computes Skin temperature features WARNING: this function will give 'strange' results when applied on a relative signal
HST_feat_mean.m	Computes the mean of the HST signal (aka the mean temperature) WARNING: this function will give 'strange' results when applied on a relative signal
HST_feat_meanderiv.m	Computes the mean derivation of the HST signal
► tests
HST_feat_means_test.m
HST__assert_type.m	Asserts that the given signal is a HST one Yo: if you want to know how this works, please see my master:Signal__assert_type
HST__get_signame.m	Gets the name of a HST signal Copyright Frank Villaro-Dixon, Public Domain, 2014
HST__new_empty.m	Creates a new HST empty signal
HST_filter_basic.m	Cleans an HST signal using a low-pass mean filter. The window equals the sample rate, aka 1sec Copyright Frank Villaro-Dixon, 2014
► RES
► acquisition
RES_aqn_variable.m	RES_aqn_variable gets a RES signal from a variable
► features
RES_feat_energy.m	Computes the energy of a respiration signal
RES_feat_extr.m	Computes Skin respiration features
RES_feat_mainfreq.m	Computes the main frequency of a respiration signal
RES_feat_minmax.m	Computes the peak-to-peak value of a respiration signal (aka greatest breath)
RES__assert_type.m	Makes sure that the given signal is a RES one If you want to know more about that, please see Signal__assert_type's document…
RES__get_signame.m	Get the name of a RES signal
RES__new_empty.m	Creates a new RES empty signal
RES_filter_basic.m	Cleans a signal adding a low-pass mean filter to it. The window equals the sample rate, aka 1 sec
► utils
► ecgBag
filterECG128Hz.m
filterECG256Hz.m
rpeakdetect.m
correctBPM.m
featuresSelector.m	This function select a subset of features from 'featuresNames' based on 'include' / 'exclude' satements. Features are always returned in the same order than 'features name'
iirpeak.m
interpIBI.m	This function interpolate an HR/IBI signal (from a list of peaks) with the method proposed in: Berger et al., "An Efficient Algorithm for Spectral Analysis of Heart Rate Variability", IEEE Trans. on Biomedical Engineering, Vol. 33, No. 9, sept. 1986
notchpeakargchk.m	NOTCHPEAKARGCHK Validates the inputs for the IIRNOTCH and IIRPEAK functions
PICtoBPM.m	Computes BPM and IBI from a list of pics Author: Guillaume Chanel
PLETtoBPM.m	Calcul le heart rate bpm a partir du fichier des donn�es data le signal a une frequence d'echantillonage fe. Search for the upper peak, if systolic upstroke is desired, simply negate the signal
► visualisation
Signal_plot.m	Plots a signal: value vs time, between startT and entT. Signal_plot(sig); Signal_plot(sig, start); Signal_plot(sig, start, end);
Signal_plot1D.m	Plots a signal: value vs time, between startT and entT. Signal_plot1D(sig); Signal_plot1D(sig, start); Signal_plot1D(sig, start, end);
Signal_plot_pts.m	Plots some (xval, yval) points on the graph. You have to use this function if your xvals are in the frame domain (aka not secs like the graph produced by Signal_plot. This function just divides xval by Signal__get_samprate(Signal). HOLDs ON the graph, so you don't have to do it yourself ;)
Raw_convert_1D.m	Takes a raw signal and reshapes-it into a good form (aka 1D horizontal signal, [1xN];
Signal__assert_mine.m	Asserts that the signal is a TEAP one
Signal__assert_range.m	Asserts that the signal is a TEAP one
Signal__assert_type.m	Checks that the signal given on the input is of the type nameWanted This function is mainly used by SSS_assert_type(Sig), with params Sig and SSS
Signal__get_absolute.m	Is the signal data absolute or relative ?
Signal__get_offset.m	Gets the offset(in frames) relative to its parent (the first it had, non recursive)
Signal__get_raw.m	Returns the raw data of the signal
Signal__get_samprate.m	Returns the sampling rate of a signal
Signal__get_signame.m	Gets the name of a signal, eg: 'GSR' for a Galvanic Skin Response signal
Signal__get_unit.m	Gets the unit of a signal (ex: 'Ohm' for a GSR signal)
Signal__get_window.m	Takes a portion of a signal between startT and endT seconds. NB: that the child signal will memorize the offset to its father (the first-one, non recursive) start: useful if you want to plot the signal with logical times. If you want to specify frames (aka. samples) instead of seconds, you should use Signal__get_window_frames()
Signal__get_window_frames.m	Takes a portion of a signal between startT and endT frames. NB: that the child signal will memorize the offset to its father (the first-one, non recursive) start: useful if you want to plot the signal with logical times. If you want to specify seconds instead of frames, you should use Signal__get_window()
Signal__has_preproc.m	Has the given signal been through this preprocessing step
Signal__new_empty.m	Creates a new, empty, signal. This is mainly to represent the data structure
Signal__set_absolute.m	Sets the data of the signal to absolute or relative
Signal__set_offset.m	Sets the offset of the specified signal
Signal__set_preproc.m	Set a preprocessing attribute for a signal. Ex: lowPass, highPass
Signal__set_raw.m	Sets the raw data of the signal S
Signal__set_samprate.m	Sets the sampling rate of a signal
Signal__set_signame.m	Sets the name of a signal (ex: 'GSR', 'ECG', etc…) you should NOT use this function, only TEAP uses-it
Signal__set_unit.m	Sets the unit of a signal
Signal_feat_bandEnergy.m	Computes the standard deviation of a given signal
Signal_feat_energy.m	Computes the energy of a signal
Signal_feat_mean.m	Computes the mean of a signal
Signal_feat_quant.m
Signal_feat_stat_moments.m	Computes the statistical moments for the input signals
Signal_feat_std.m	Computes the quantile of a given signal
Signal_feat_var.m	Computes the variance of a signal
▼ tests
► machine_learning_codes
classif_module.m
classificationPrec.m
cross_validation_module.m
feature_sel_module.m
fisherCrit.m
kfold_gen.m
normalization_module.m
regressionPrec.m
extracting_features_DEAP.m
extracting_features_MAHNOB.m
loading_DEAP.m
loading_MAHNOB.m
train_and_test_deap.m
train_and_test_mahnob.m
unitTesting.m
▼ utils
► biosig-partial
► doc
Contents.m
► t200_FileAccess
adb2event.m
bdf2biosig_events.m
bkropen.m
bni2hdr.m
bv2biosig_events.m
cntopen.m
Contents.m
eload.m
famosopen.m
fefopen.m
fepi2gdf.m
fltopen.m
gdfdatatype.m
getfiletype.m
gtfopen.m
hdr2ascii.m
iopen.m
iread.m
leadidcodexyz.m
loadlexi.m
mat2sel.m
matread.m
mwfopen.m
nk2hyp.m
opendicom.m
openeep.m
openiff.m
openldr.m
openxlt.m
openxml.m
physicalunits.m
save2bkr.m
save2gdf.m
save2mm.m
sclose.m
scpopen.m
seof.m
sload.m
sopen.m
sread.m
srewind.m
ssave.m
sseek.m
stell.m
str2double.m
swrite.m
tload.m
tlvread.m
wscore2event.m
► t250_ArtifactPreProcessingQualityControl
artifact_selection.m
Contents.m
detect_spikes_bursts.m
detectmuscle.m
eeg2hist.m
get_regress_eog.m
gettrigger.m
hist2limits.m
hist2res.m
identify_eog_channels.m
qc_histo.m
regress_eog.m
remove5060hz.m
rs.m
spatialfilter.m
spikes2bursts.m
trigg.m
► eeglab-partial
biosig2eeglab.m
biosig2eeglabevent.m
eeg_checkchanlocs.m
eeg_checkset.m
eeg_emptyset.m
eeg_options.m
eeglab_options.m
finputcheck.m
pop_biosig.m
► others
multiScaleEntropy.m
openbdf.m
readbdf.m
sampenc.m
config_file.m
init.m