State-sensitive convolutional sparse coding for potential biomarker identification in brain signals  

作　　者：Puli WANG Yu QI Gang PAN 

机构地区：[1]College of Computer Science and Technology,Zhejiang University,Hangzhou 310000,China [2]MOE Frontier Science Center for Brain Science and Brain-machine Integration,Zhejiang University,Hangzhou 310000,China [3]Affiliated Mental Health Center&Hangzhou Seventh People’s Hospital,Zhejiang University School of Medicine,Hangzhou 310000,China [4]State Key Laboratory of Brain-Machine Intelligence,Zhejiang University,Hangzhou 310000,China

出　　处：《Science China(Information Sciences)》2024年第5期266-282,共17页中国科学（信息科学）（英文版）

基　　金：supported by STI 2030 Major Projects(Grant No.2021ZD0200400);National Natural Science Foundation of China(Grant Nos.U1909202,61925603,62276228);Key R&D Program of Zhejiang(Grant No.2023C03001).

摘　　要：The identification of prototypical waveforms,such as sleep spindles and epileptic spikes,is crucial for the diagnosis of neurological disorders.These prototypical waveforms are usually recurrently presented in certain brain states,serving as potential biomarkers for clinical evaluations.Convolutional sparse coding(CSC)approaches have demonstrated strength in identifying recurrent patterns in time-series.However,existing CSC approaches do not explicitly explore state-specific patterns,making it difficult to identify state-related biomarkers.To address this problem,we propose state-sensitive CSC to learn state-specific prototypical waveforms.Specifically,we model signals of a certain state with specific waveforms that only appear frequently in this state and background waveforms that are independent of states.Based on this,state-sensitive CSC separates state-specific waveforms from background ones explicitly by incorporating incoherence constraints into optimizations.Experiments with epilepsy brain signals demonstrate that our approach can effectively identify prototypical waveforms in pre-ictal states,providing potential biomarkers for seizure prediction.Our approach provides a promising tool for automatic biomarker candidate identification.

关 键 词：convolutional sparse coding prototypical waveforms state-specific dictionary biomarker identification neural signal processing 

分 类 号：R318[医药卫生—生物医学工程] TN911.22[医药卫生—基础医学]