


TDP time-domain parameters
extracts EEG features very fast (low computational efforts)
This is function was motivated by the Hjorth and Barlow
parameters and is experimental.
[F,G] = TDP(...)
[...] = tdp(S,p,0)
calculates the log-power of the first p-th derivatives
[...] = tdp(S,p,UC) with 0<UC<1,
calculates time-varying power of the first p-th derivatives
using an exponential window
[...] = tdp(S,p,N) with N>1,
calculates time-varying log-power of the first p-th derivatives
using rectangulare window of length N
[...] = tdp(S,p,B,A) with B>=1 oder length(B)>1,
calculates time-varying log-power of the first p-th derivatives
using the transfer function B(z)/A(z) for windowing
Input:
S data (each channel is a column)
p number of features
UC update coefficient
B,A filter coefficients (window function)
Output:
F log-power of each channel and each derivative
in case of p=2, this is a linear combination of log(hjorth)
G log-amplitude of each channel and each derivative
in case of p=2, this is a linear combination of log(barlow)
Relationship to related parameters:
Hjorth's ACTIVITY = exp(F(:,1));
Hjorth's MOBILITY = exp(F(:,2)-F(:,1))/2;
Hjorth's COMPLEXITY = exp(F(:,3)-F(:,2))/2;
LINELENGTH = exp(G(:,2));
AREA = exp(G(:,1));
Barlow's AMPLITUDE = exp(G(:,1)) = AREA;
Barlow's FREQUENCY = exp(G(:,2)-G(:,1));
Barlow's Spectral Purity Index SPI = exp(2*F(:,2)-F(:,1)-F(:,3))
see also: HJORTH, BARLOW, WACKERMANN
REFERENCE(S):
[1] B. Hjorth,
EEG analysis based on time domain properties
Electroencephalography and Clinical Neurophysiology, vol. 29, no. 3, pp. 306–310, September 1970.
[2] B. Hjorth,
Time Domain Descriptors and their Relation to particulare Model for Generation of EEG activity.
in G. Dolce, H. Kunkel: CEAN Computerized EEG Analysis, Gustav Fischer 1975, S.3-8.
[3] Goncharova II, Barlow JS.
Changes in EEG mean frequency and spectral purity during spontaneous alpha blocking.
Electroencephalogr Clin Neurophysiol. 1990 Sep;76(3):197-204.