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Non-invasive biosensors to detect cardiovascular changes in heart failure

Non-invasive biosensors to detect cardiovascular changes in heart failure
无创生物传感器检测心力衰竭时的心血管变化
批准号:
9922997
负责人:
Omer Tolga Inan
金额:
$56.77万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-05-15 至 2022-04-30
关键词:
AccelerometerActivities of Daily LivingAddressAffectAlgorithmsAmbulatory CareAmericanBallistocardiographyBiomechanicsBiosensorBlood PressureBlood VolumeBlood capillariesBody WeightCardiac Catheterization ProceduresCardiac OutputCardiac Surgery proceduresCardiac rehabilitationCardiopulmonaryCardiovascular PhysiologyCardiovascular systemCaregiversCaringClinicalClothingContinuity of Patient CareDataDevicesDiagnosisDobutamineElderlyElectrocardiogramElectrodesEnergy MetabolismEvaluationExerciseFeedbackFoundationsGoalsHealthHealth Care CostsHeart RateHeart failureHome environmentHospitalizationHospitalsIncidenceIndirect CalorimetryInfusion proceduresLifeMeasurementMeasuresMedicareMetabolicMiningModalityMonitorMorphologic artifactsMotionMyocardial InfarctionNitroprussideOutcomePatient MonitoringPatientsPhotoplethysmographyPhysiologic MonitoringPhysiologic pulsePhysiologicalPhysiologyPopulationPredictive AnalyticsProbabilityPulmonary artery structureQuality of lifeResearchResolutionRestRiskSignal TransductionSocietiesSolidStress TestsStroke VolumeStudy SubjectSurfaceSymptomsSystemTechniquesTechnologyTemperatureTestingTimeTreatment FailureWalkingWedge Pressuresbarometric pressurebasecardiovascular healthcostdesignexperienceheart rate variabilityhemodynamicsheterogenous dataimplantable deviceimprovedinnovationmonitoring devicenew technologynovelpatient populationprediction algorithmpressurepreventprogramsprototypepublic health relevancereadmission ratesrespiratoryresponsesensorsensor technologystressorusabilityvibrationwalking speedwearable sensor technology

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英文摘要
 DESCRIPTION (provided by applicant): Heart failure (HF) is one of the most major challenges faced by society today, claiming hundreds of thousands of American lives each year and costing more than 30 billion Medicare dollars annually. The ultimate goal of this research is to create an unobtrusive wearable system for continuously monitoring HF patients in naturalistic settings, automatically assessing their risk of experiencing an exacerbation, and providing feedback to caregivers and the patients themselves. The central innovation that will support these efforts is the proposed measurement of hemodynamic responses to stressors experienced in normal activities of daily living (e.g., walking, climbing stairs). The measurement of such hemodynamic responses will be enabled by wearable ballistocardiography (BCG). The following four specific aims are proposed for the research: (1) to elucidate the underlying mechanisms involved in the genesis of wearable ballistocardiogram (BCG) signals; (2) to develop novel predictive analytics algorithms for BCG signals measured from HF patients at home; (3) to design and implement a wearable sensing system for estimating cardiac output (CO), blood pressure (BP), and indirect calorimetry from ambulant subjects; and (4) to evaluate the wearable sensing system with healthy and HF patients during cardiopulmonary stress testing, and to pilot the new system at home for a small population of patients. The first aim will build a strong foundation for better understanding the wearable BCG signal - a measurement of body vibrations in response to the heartbeat - and will inform the placement and modality of the sensor for optimizing the sensing. Furthermore, the evaluation of this wearable prototype will include usability testing to assess comfort and robustness to practical challenges (e.g., motion artifacts, the device rubbing on clothing), and based on the results the design will be refined and improved. While we anticipate that the wearable will provide the best solution, the project risk is mitigated through the more mature, existing scale- based system. Successful completion of this project could ultimately reduce HF related hospitalizations, and thus both improve quality of life for elderly Americans, and reduce overall healthcare costs.
期刊论文(13)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/jbhi.2020.3009903
发表时间: 2021-03
期刊: IEEE journal of biomedical and health informatics
影响因子: 7.7
作者: [Shandhi MMH, Bartlett WH, Heller JA, Etemadi M, Young A, Plotz T, Inan OT]
通讯作者: Inan OT
DOI: 10.1016/j.cardfail.2020.05.014
发表时间: 2020-11
期刊: Journal of cardiac failure
影响因子: 6
作者: [Shandhi MMH, Hersek S, Fan J, Sander E, De Marco T, Heller JA, Etemadi M, Klein L, Inan OT]
通讯作者: Inan OT
DOI: 10.1109/jbhi.2022.3144990
发表时间: 2022-06
期刊: IEEE journal of biomedical and health informatics
影响因子: 7.7
作者: []
通讯作者:
DOI: 10.1109/jbhi.2020.3032938
发表时间: 2021-05
期刊: IEEE journal of biomedical and health informatics
影响因子: 7.7
作者: [Semiz B, Carek AM, Johnson JC, Ahmad S, Heller JA, Vicente FG, Caron S, Hogue CW, Etemadi M, Inan OT]
通讯作者: Inan OT
9
    SCH: INT: Wearable knee Joint Health Sensing Using Acoustical Emissions
    • 批准号:
      9360119
    • 项目类别:
    • 资助金额:
      $42.26万
    • 财政年份:
      2016
    • 负责人:
      Omer Tolga Inan
    • 依托单位:
    SCH: INT: Wearable knee Joint Health Sensing Using Acoustical Emissions
    • 批准号:
      9514993
    • 项目类别:
    • 资助金额:
      $41.41万
    • 财政年份:
      2016
    • 负责人:
      Omer Tolga Inan
    • 依托单位:
    Wearable lung sounds, fluid, and body temperature monitoring for patients with COVID-19
    • 批准号:
      10163297
    • 项目类别:
    • 资助金额:
      $39.65万
    • 财政年份:
      2016
    • 负责人:
      Omer Tolga Inan
    • 依托单位:
    SCH: INT: Wearable knee Joint Health Sensing Using Acoustical Emissions
    • 批准号:
      10093538
    • 项目类别:
    • 资助金额:
      $7.23万
    • 财政年份:
      2016
    • 负责人:
      Omer Tolga Inan
    • 依托单位:
    海外基金