Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patients
Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patients
批准号:
10224566
负责人:
CLARE M TEMPANY
金额:
$36.0万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-12-15 至 2021-12-14
关键词:
3D PrintAbdomenAdhesivesAdvisory CommitteesAffectAgeAirAlgorithmic SoftwareAlgorithmsBandageBiomechanicsBloodBrain imagingBreathingCOVID-19COVID-19 monitoringCOVID-19 patientCaliberChestCollaborationsComplementComputer softwareDataDecision MakingDevelopmentDevicesDiagnostic ProcedureDiagnostic testsDiseaseDisinfectionElasticityExhalationFamily memberFundingGenderHandHealthHeightHomeHospitalizationInfectionIntensive Care UnitsLeadLettersLifeLocationLungLung CapacityLung diseasesMagnetic Resonance ImagingMeasurementMeasuresMedicalMonitorMotionOxygenOxyhemoglobinParentsPatient MonitoringPatientsPersonsPhysiologic MonitoringPhysiologic pulsePlayPositron-Emission TomographyPublished CommentReadingRecoveryRespiratory SystemRobin birdRoleSavingsServicesSeverity of illnessShapesSignal TransductionSkinSpecific qualifier valueSystemTemperatureThermometersTimeTissuesTransducersUltrasonographyWireless Technologybasecapsulecloud basedcloud platformcommercializationdeoxyhemoglobinhealthy volunteerhome testimage guided therapyimaging capabilitiesimprovedmeetingsmonitoring devicemotion sensorparent grantpoint of careprototypepulmonary functionremote monitoringremote sensorsensorsoftware systemstool
中文摘要
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英文摘要
Project summary
There are currently ~1.8 million active cases of COVID-19 in the US. Most of these patients are recovering at
home, creating immense needs for remote monitoring. The main tools currently available for the task are
thermometers, pulse oximeters and spirometers, to monitor temperature, blood oxygen level and lung capacity,
respectively. We developed an ultrasound-based sensor system that captures in rich manner the way in which
people breathe, and we believe that such biomechanical information can be an important complement to other,
currently available tools. The proposed project involves modifying the hardware and software of our current
sensor system to make it compatible with home-based monitoring, more specifically by making it smaller,
wireless, cloud-based and inexpensive.
Pulse oximeters and spirometers are closely related to the proposed sensor system in that they offer a
measure of lung health. Spirometers provide a single measurement for the entire respiratory system, i.e., the
volume of air exhaled. Because it is a device that one blows air into, it readily becomes contaminated when
used by COVID-19 patients. Pulse oximeters are very helpful in the sense that they measure a parameter at
the core of lung function, i.e., the ability to convert deoxyhemoglobins into oxyhemoglobins. For spirometers
and pulse oximeters, normal or highly abnormal readings fulfill the purpose of a home-based monitoring device
in the sense that they lead to clear decision making when the options are primarily ‘remaining at home’ vs.
‘hospital admission’. Intermediate readings, however, can be more difficult to interpret. Especially as treatment
options continue to increase and diversify, more data will be needed to inform decisions, and biomechanical
information as provided by our sensors is expected to be a valuable addition. By better informing decisions on
patient management, it is easy to appreciate how the proposed sensor system might very well have life-saving
effects in given patients.
We propose to develop a rapid home-based testing/diagnostics device, in the form of wearable remote sensors
for physiological monitoring. Our ultrasound-based sensors monitor tissue velocity and displacement at various
tissue depths, at up to four separate locations on the torso, and as such richly captures the biomechanical
motion associated with breathing. The proposed project involves converting our current PC-sized system into a
smaller, wireless, cloud-based and inexpensive system compatible with home-based monitoring, and to
develop algorithms specific to COVID-19 patients to better convert the rich motion information the sensors
provide into an assessment of one’s state of recovery from the disease. Preliminary results suggest feasibility
within one year, and a path to commercialization is presented in the proposal.
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DOI:
10.1161/circimaging.115.003282
发表时间:
2015-12
期刊:
Circulation. Cardiovascular imaging
影响因子:
--
作者:
[Gregory TS, Oshinski J, Schmidt EJ, Kwong RY, Stevenson WG, Ho Tse ZT]
通讯作者:
Ho Tse ZT
DOI:
10.2214/ajr.16.17551
发表时间:
2017-09
期刊:
AJR. American journal of roentgenology
影响因子:
--
作者:
[Glazer DI, Mayo-Smith WW, Sainani NI, Sadow CA, Vangel MG, Tempany CM, Dunne RM]
通讯作者:
Dunne RM
DOI:
10.1007/s00261-020-02453-2
发表时间:
2020-04
期刊:
Abdominal radiology (New York)
影响因子:
--
作者:
[Steiner A, Alban G, Cheng T, Kapur T, Bay C, McLaughlin PY, King M, Tempany C, Lee LJ]
通讯作者:
Lee LJ
Incremental value of contrast enhanced computed tomography on diagnostic accuracy in evaluation of small pulmonary ground glass nodules.
对比增强计算机断层扫描对评估肺部小毛玻璃结节诊断准确性的增量价值。
DOI:
10.3978/j.issn.2072-1439.2015.09.37
发表时间:
2015
期刊:
Journal of thoracic disease
影响因子:
2.5
作者:
[Li,Ming, Gao,Feng, Jagadeesan,Jayender, Gill,RituR, Hua,Yanqing, Zheng,Xiangpeng]
通讯作者:
Zheng,Xiangpeng
Application of a forward model of axisymmetric shear wave propagation in viscoelastic media to shear wave elastography.
粘弹性介质中轴对称剪切波传播正演模型在剪切波弹性成像中的应用。
DOI:
10.1121/1.5038568
发表时间:
2018
期刊:
The Journal of the Acoustical Society of America
影响因子:
--
作者:
[Yengul,SanjayS, Barbone,PaulE, Madore,Bruno]
通讯作者:
Madore,Bruno
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