2018
Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia
Reljin N, Zimmer G, Malyuta Y, Shelley K, Mendelson Y, Blehar DJ, Darling CE, Chon KH. Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia. PLOS ONE 2018, 13: e0195087. PMID: 29596477, PMCID: PMC5875841, DOI: 10.1371/journal.pone.0195087.Peer-Reviewed Original ResearchConceptsBlood lossTrauma patientsTraditional vital signsLast time pointBlood pressureHemorrhagic shockCombat casualty careBlood withdrawalHealthy volunteersPhotoplethysmographic recordingsHeart rateBlood volumeEuvolemiaVital signsHypovolemiaPercentage changeTime pointsAbsolute changeCasualty carePatientsBattlefield settingsEarly stagesHemorrhageRecordingsHospital
2010
Measuring venous oxygenation using the photoplethysmograph waveform
Walton ZD, Kyriacou PA, Silverman DG, Shelley KH. Measuring venous oxygenation using the photoplethysmograph waveform. Journal Of Clinical Monitoring And Computing 2010, 24: 295-303. PMID: 20644985, DOI: 10.1007/s10877-010-9248-y.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsData Interpretation, StatisticalEsophagusHumansOxygenPhotoplethysmographyPulsatile FlowVeinsConceptsVenous saturationVenous systemRegional venous oxygen saturationPeripheral venous waveformCardiac surgery patientsVenous oxygen saturationPeripheral venous systemPhotoplethysmograph waveformsWilcoxon signed-rank testVenous waveformSurgery patientsAtrial contractionSigned-rank testVenous bloodVenous oxygenationOxygen saturationGold standardPPG characteristicsHigh complianceBonferroni correctionSignificant differencesPPG analysisBloodPPG waveformPatients