NDLI: Falling-Edge, Variable Threshold (FEVT) Method for the Automated Detection of Gastric Slow Wave Events in High-Resolution Serosal Electrode Recordings

Content Provider	Springer Nature Link
Author	Erickson, Jonathan C. O’Grady, Gregory Du, Peng Obioha, Chibuike Qiao, Wenlian Richards, William O. Bradshaw, L. Alan Pullan, Andrew J. Cheng, Leo K.
Copyright Year	2009
Abstract	High resolution (HR) multi-electrode mapping is increasingly being used to evaluate gastrointestinal slow wave behaviors. To create the HR activation time (AT) maps from gastric serosal electrode recordings that quantify slow wave propagation, it is first necessary to identify the AT of each individual slow wave event. Identifying these ATs has been a time consuming task, because there has previously been no reliable automated detection method. We have developed an automated AT detection method termed falling-edge, variable threshold (FEVT) detection. It computes a detection signal transform to accentuate the high ‘energy’ content of the falling edges in the serosal recording, and uses a running median estimator of the noise to set the time-varying detection threshold. The FEVT method was optimized, validated, and compared to other potential algorithms using in vivo HR recordings from a porcine model. FEVT properly detects ATs in a wide range of waveforms, making its performance substantially superior to the other methods, especially for low signal-to-noise ratio (SNR) recordings. The algorithm offered a substantial time savings (>100 times) over manual-marking whilst achieving a highly satisfactory sensitivity (0.92) and positive-prediction value (0.89).
Starting Page	1511
Ending Page	1529
Page Count	19
File Format	PDF
ISSN	00906964
Journal	Annals of Biomedical Engineering
Volume Number	38
Issue Number	4
e-ISSN	15739686
Language	English
Publisher	Springer US
Publisher Date	2009-12-19
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Gastric electrical activity Gastric slow wave Activation time map High-resolution mapping Energy operator Biochemistry Mechanics Biophysics and Biological Physics Biomedical Engineering Biomedicine general
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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