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Reduction of Pigmentation Dependent Errors using Spectroscopic Pulse Oximetery

Reduction of Pigmentation Dependent Errors using Spectroscopic Pulse Oximetery
使用光谱脉搏血氧仪减少色素沉着相关误差
批准号:
10385103
负责人:
Vikas Khurana
金额:
$25.66万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-01 至 2023-08-31
关键词:
Accident and Emergency departmentAfricanAlgorithmsAntibioticsArtificial IntelligenceBilirubinBloodBlood gasBusinessesCOVID-19Car PhoneCardiopulmonaryClinicalClinical ResearchClipCollaborationsComputer softwareDataData AnalyticsData SetDevelopmentDevicesDiagnosisDiagnostics ResearchDiseaseEmergency MedicineEthnic groupEvolutionFeasibility StudiesFingersFoxesFrequenciesGenerationsGoalsGoldHypoxiaIndividualInfantInterventionInvestigationLaboratory ResearchLeadLightLiquid substanceMachine LearningMeasurementMeasuresMethodsMinorityModelingMonitorMorbidity - disease rateMorphologyMulticenter TrialsOpticsOutcomeOxygenOxygen saturation measurementPatientsPatternPerformancePhasePhotoplethysmographyPhysiologic pulsePigmentation physiologic functionPigmentsPilot ProjectsPlethysmographyPositioning AttributePulmonary Heart DiseasePulse OximetryReportingResource-limited settingSamplingSchoolsSecuritySepsisSeverity of illnessSignal TransductionSkinSpectrum AnalysisStudy SubjectSystemTechniquesTechnologyTimeTissuesUniversitiesUniversity HospitalsValidationVertebral columnWorkartificial intelligence algorithmbaseclinical decision-makingclinical diagnosisdesignethnic minorityexperiencehealth care disparityheart rate variabilityhuman subjectimprovedmachine learning algorithmmachine learning modelmachine learning predictionmortalitymulti-ethnicnew technologynext generationnoveloptical sensorphase 2 studypreventprototyperacial disparityracial minorityrapid diagnosisresearch clinical testingscreeningsensorsensor technologyskin colortemporal measurementtool

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PROJECT SUMMARY/ ABSTRACT Pulse oximetry is a powerful clinical tool for clinical evaluation of patients with cardiopulmonary compromise, however, multiple clinical studies have indicated pulse oximetry suffers from overestimation errors in darkly pigmented individuals, which is a critical mistake in screening for a cardiopulmonary disease, including COVID- 19, and could contribute to reports of outcome disparities in ethnic minorities. Aimloxy, LLC has been developing proprietary hardware and firmware for High Frequency Pulse Sensing Technology (HF-PST), which represents a next-generation evolution of photoplethysmography (PPG) pulse sensing technologies, which have conventionally served as the backbone of pulse oximetry. The Optical Diagnostic Research Laboratory (ODRL) at Temple University is involved in the development of optical sensing technologies for low-resource settings and has developed mobile-phone based technologies that include strategies for reducing pigmentation dependent inaccuracy in transcutaneous sensing of bilirubin levels in African-origin infants. The ODRL, Aimloxy, along with collaborators from Temple University Hospital’s Department of Emergency Medicine and Fox School of Business’ Center for Data Analytics will team together to perform initial development and benchtop characterization of a next-generation high frequency spectroscopic pulse oximeter capable of reducing pigmentation dependent errors in PPG and oximetry signals, conduct an initial human subjects feasibility study on a multi-ethnic population, and incorporate refined machine learning algorithms to improve measurement accuracy in pigmented individuals. The successful completion of this phase I proposal will set the stage for a full-scale study in phase II to develop a commercial prototype and perform multicenter trials to characterize accuracy and compare performance against traditional techniques in darkly pigmented individuals, ultimately helping reduce healthcare disparities in racial minorities.
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