title: A Novel ECG Data Compression Method Using Adaptive Fourier Decomposition With Security Guarantee in e-Health Applications.
abstract: This paper presents a novel electrocardiogram (ECG) compression method for e-health applications by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with a symbol substitution (SS) technique. The compression consists of two stages: first stage AFD executes efficient lossy compression with high fidelity; second stage SS performs lossless compression enhancement and built-in data encryption, which is pivotal for e-health. Validated with 48 ECG records from MIT-BIH arrhythmia benchmark database, the proposed method achieves averaged compression ratio (CR) of 17.6-44.5 and percentage root mean square difference (PRD) of 0.8-2.0% with a highly linear and robust PRD-CR relationship, pushing forward the compression performance to an unexploited region. As such, this paper provides an attractive candidate of ECG compression method for pervasive e-health applications.
authors.forename: JiaLi
authors.initials: J
authors.lastname: Ma
authors.forename: TanTan
authors.initials: T
authors.lastname: Zhang
authors.forename: MingChui
authors.initials: M
authors.lastname: Dong
mesh_terms: D016494:Computer Security; D003219:Confidentiality; D044962:Data Compression / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D005583:Fourier Analysis; D006801:Humans; D008490:Medical Informatics; D017216:Telemedicine