PMID- 20024624 OWN - NLM STAT- MEDLINE DCOM- 20100630 LR - 20220408 IS - 1573-9686 (Electronic) IS - 0090-6964 (Print) IS - 0090-6964 (Linking) VI - 38 IP - 4 DP - 2010 Apr TI - Falling-edge, variable threshold (FEVT) method for the automated detection of gastric slow wave events in high-resolution serosal electrode recordings. PG - 1511-29 LID - 10.1007/s10439-009-9870-3 [doi] AB - 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). FAU - Erickson, Jonathan C AU - Erickson JC AD - Department of Physics, Vanderbilt University, Nashville, TN, USA. ericksonj@wlu.edu FAU - O'Grady, Gregory AU - O'Grady G FAU - Du, Peng AU - Du P FAU - Obioha, Chibuike AU - Obioha C FAU - Qiao, Wenlian AU - Qiao W FAU - Richards, William O AU - Richards WO FAU - Bradshaw, L Alan AU - Bradshaw LA FAU - Pullan, Andrew J AU - Pullan AJ FAU - Cheng, Leo K AU - Cheng LK LA - eng GR - R01 DK064775/DK/NIDDK NIH HHS/United States GR - R01 DK058697/DK/NIDDK NIH HHS/United States GR - R01 DK058697-02/DK/NIDDK NIH HHS/United States GR - R01 DK064775-05/DK/NIDDK NIH HHS/United States GR - R01 DK64775/DK/NIDDK NIH HHS/United States GR - R01 DK58697-02/DK/NIDDK NIH HHS/United States GR - R01 DK058197-09/DK/NIDDK NIH HHS/United States GR - R01 DK58197/DK/NIDDK NIH HHS/United States GR - R01 DK058197/DK/NIDDK NIH HHS/United States GR - R01 DK058697-08/DK/NIDDK NIH HHS/United States PT - Evaluation Study PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Research Support, Non-U.S. Gov't DEP - 20091219 PL - United States TA - Ann Biomed Eng JT - Annals of biomedical engineering JID - 0361512 SB - IM MH - *Algorithms MH - Animals MH - Electrodes, Implanted MH - Electromyography/instrumentation/*methods MH - Muscle, Smooth/*physiology MH - Myoelectric Complex, Migrating/*physiology MH - Pattern Recognition, Automated/*methods MH - *Signal Processing, Computer-Assisted MH - Stomach/*physiology MH - Swine PMC - PMC2855965 MID - NIHMS185120 EDAT- 2009/12/22 06:00 MHDA- 2010/07/01 06:00 PMCR- 2010/04/19 CRDT- 2009/12/22 06:00 PHST- 2009/08/11 00:00 [received] PHST- 2009/12/07 00:00 [accepted] PHST- 2009/12/22 06:00 [entrez] PHST- 2009/12/22 06:00 [pubmed] PHST- 2010/07/01 06:00 [medline] PHST- 2010/04/19 00:00 [pmc-release] AID - 10.1007/s10439-009-9870-3 [doi] PST - ppublish SO - Ann Biomed Eng. 2010 Apr;38(4):1511-29. doi: 10.1007/s10439-009-9870-3. Epub 2009 Dec 19.