TY - JOUR
T1 - A matching pursuit-based signal complexity measure for the analysis of newborn EEG
AU - Rankine, L.
AU - Mesbah, M.
AU - Boashash, B.
N1 - Funding Information:
This work was supported by grants from the NHMRC and ARC.
PY - 2007/3
Y1 - 2007/3
N2 - This paper presents a new relative measure of signal complexity, referred to here as relative structural complexity (RSC), which is based on the matching pursuit (MP) decomposition. By relative, we refer to the fact that this new measure is highly dependent on the decomposition dictionary used by MP. The structural part of the definition points to the fact that this new measure is related to the structure, or composition, of the signal under analysis. After a formal definition, the proposed RSC measure is used in the analysis of newborn electroencephalogram (EEG). To do this, firstly, a time-frequency decomposition dictionary is specifically designed to compactly represent the newborn EEG seizure state using MP. We then show, through the analysis of synthetic and real newborn EEG data, that the relative structural complexity measure can indicate changes in EEG structure as it transitions between the two EEG states; namely seizure and background (non-seizure).
AB - This paper presents a new relative measure of signal complexity, referred to here as relative structural complexity (RSC), which is based on the matching pursuit (MP) decomposition. By relative, we refer to the fact that this new measure is highly dependent on the decomposition dictionary used by MP. The structural part of the definition points to the fact that this new measure is related to the structure, or composition, of the signal under analysis. After a formal definition, the proposed RSC measure is used in the analysis of newborn electroencephalogram (EEG). To do this, firstly, a time-frequency decomposition dictionary is specifically designed to compactly represent the newborn EEG seizure state using MP. We then show, through the analysis of synthetic and real newborn EEG data, that the relative structural complexity measure can indicate changes in EEG structure as it transitions between the two EEG states; namely seizure and background (non-seizure).
KW - Coherent dictionary
KW - Matching pursuit
KW - Newborn EEG
KW - Relative structural complexity
KW - Time-frequency
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U2 - 10.1007/s11517-006-0143-0
DO - 10.1007/s11517-006-0143-0
M3 - Article
C2 - 17221258
AN - SCOPUS:33847612963
SN - 0140-0118
VL - 45
SP - 251
EP - 260
JO - Medical and Biological Engineering and Computing
JF - Medical and Biological Engineering and Computing
IS - 3
ER -