Heartrate-Dependent Heartwave Biometric Identification with Thresholding-Based GMM-HMM Methodology

Ching Leng Peter Lim, Wai Lok Woo, Satnam S. Dlay, Bin Gao

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


This paper presents an adaptive heartrate-dependent heartwave-signal-based biometric identification. A reliable and continuous heartwave extraction method featuring the hybridized discrete waveform transform method with heartrate adaptive QT and PR intervals to perform comprehensive heartwave features extractions on more than 35 000 heartwave signal. The size of training data was determined and the hybridized Gaussian-mixture-model-hidden-Markov-model classification method was used in the classification. Dynamic thresholding criterial incorporating user-specific scores and heartrate were adopted. The identification process using dynamic thresholding criterial achieved a remarkable receiver operating characteristic of 0.89 in true positive rate and an equal error rate of 0.11.
Original languageEnglish
Pages (from-to)45-53
Number of pages9
JournalIEEE Transactions on Industrial Informatics
Issue number1
Early online date8 Oct 2018
Publication statusPublished - 3 Jan 2019


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