2023
Assessment of changes in blood volume during lower body negative pressure-induced hypovolemia using bioelectrical impedance analysis
Anakmeteeprugsa S, Gonzalez-Fiol A, Vychodil R, Shelley K, Alian A. Assessment of changes in blood volume during lower body negative pressure-induced hypovolemia using bioelectrical impedance analysis. Journal Of Clinical Monitoring And Computing 2023, 38: 293-299. PMID: 37966562, DOI: 10.1007/s10877-023-01098-y.Peer-Reviewed Original ResearchEstimated blood lossBioelectrical impedance analysisBlood lossHealthy volunteersBlood volumeProspective observational studyBody negative pressureSignificant increaseT-testStudent's t-testAcute hemorrhageLBNP protocolLower extremitiesObservational studyHypovolemiaLBNPCompensatory mechanismsPercentage changeReciprocal changesSignificant decreaseBioimpedanceBaselineSignificant correlationMmHgP-valueUsing the ear photoplethysmographic waveform as an early indicator of central hypovolemia in healthy volunteers utilizing LBNP induced hypovolemia model
Eid A, Elgamal M, Gonzalez-Fiol A, Shelley K, Wu H, Alian A. Using the ear photoplethysmographic waveform as an early indicator of central hypovolemia in healthy volunteers utilizing LBNP induced hypovolemia model. Physiological Measurement 2023, 44: 055008. PMID: 37116503, DOI: 10.1088/1361-6579/acd165.Peer-Reviewed Original ResearchConceptsLower body negative pressureCentral hypovolemiaHealthy volunteersNon-invasive cardiac output monitorProgressive lower body negative pressureNoninvasive blood pressure monitorBody negative pressureCardiac output monitorBlood pressure monitorPhotoplethysmographic waveformPulse oximetry probeHypoperfusion symptomsSymptomatic subjectsHemodynamic indicesLBNP stageStroke volumeEarly predictorLT groupHypovolemiaEarly stagesPressure monitorWaveform indicesEarly indicatorWaveform morphologySymptoms
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