A Wireless, Multimode, Artificial Neural Network-Based Physical Activity Monitor
A Wireless, Multimode, Artificial Neural Network-Based Physical Activity Monitor
批准号:
7898871
负责人:
GLENN A GAESSER
金额:
$47.97万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-19 至 2013-06-30
关键词:
AccelerationAccountingAdhesivesAdultAnkleApplications GrantsAreaAttentionBehaviorBehavioralBiological Neural NetworksBody mass indexCalibrationChestChildComputer softwareDataData CollectionData SetDevelopmentDevicesDietDockingDoctor of PhilosophyElderlyElectrodesEnergy MetabolismEnsureEpidemiologistEpidemiologyExerciseExercise PhysiologyExploratory/Developmental GrantFigs - dietaryForce of GravityFreedomFrequenciesFundingGaitGrantHealthHeart RateHip region structureIndirect CalorimetryIndividualIowaJointsKinesiologyLaboratoriesLeadLeftLifeLimb structureLiteratureLocationMarketingMeasurementMeasuresMethodsModelingMonitorMotionNIH Program AnnouncementsNetwork-basedNeural Network SimulationOutcomePain managementPartner in relationshipPerformancePhasePhysical activityPopulationPopulation HeterogeneityPrevalencePricePrincipal InvestigatorProceduresProductionProtocols documentationPublic HealthReaderReportingResearchResearch PersonnelResearch SupportRiskScheduleScientistSimulateSolutionsSternumStructureSystemTechniquesTechnologyTestingTimeTrainingUniversitiesValidationValidity and ReliabilityVariantVirginiaVisitWalkingWeightWireless TechnologyWorkWristbasedata exchangedesigndigitalergonomicsfallshuman subjectimprovedinstrumentmathematical modelnext generationnovelprofessorprogramsprospectiveprototypepublic health relevanceresearch studysedentarytransmission process
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Accurate measurement of physical activity in children and adults is a challenging problem that is important to epidemiologists, exercise scientists, clinicians, and behavioral researchers. Although there are a number of indirect and direct methods to assess physical activity and energy expenditure, all current methods have serious, well-documented shortcomings vis-`a-vis application to free-living individuals. Recent research has shown that the most practical, objective method for measuring physical activity in free-living individuals is the use of portable activity monitors that are based on the joint monitoring of heart rate and accelerometry. Under R21 grant funding, the proposing team developed and evaluated a novel Physical Activity Monitor (the PAM-R21) for use in estimating both energy expenditure and the time spent at different activity intensity levels (e.g., sedentary/light, moderate, vigorous). Using heart rate and triaxial accelerometry, the PAM-R21, which uses artificial neural networks to convert heart rate and triaxial accelerometer data into estimates of energy expenditure, outperformed the only commercially-available integrated heart rate/acceleration activity monitor (viz., Actiheart) in terms of estimated energy expenditure, activity intensity level, and heart rate. The research proposed herein will leverage the previously-developed PAM-R21 to create and validate a low-profile, next-generation PAM-R01 monitor; validity and reliability testing will be performed in diverse populations that will include children, adults, and seniors. The PAM-R01 will also be compared with existing activity monitors in both structured and simulated free-living activities across a broad range of physical activity intensities, including the transitional periods between activities. The PAM-R01 will be small, lightweight, and unobtrusive, and will have wireless transmission capabilities; it represents an important step in the advancement of effective, accurate measurement of physical activity. PUBLIC HEALTH RELEVANCE: Physical activity is an important behavior that is related to reduce risk of a large number of negative health outcomes. However, the prevalence of physical inactivity remains unacceptably high; reducing the prevalence of inactivity is, therefore, a major focus of public health initiatives. The proposed development of the PAM- R01 activity monitor has the potential to remove one significant barrier that restricts research on the health effects of activity: the lack of an accurate, unobtrusive, and inexpensive device for measuring physical activity in free-living individuals. It also has strong potential for application in other areas, such as gait studies, pain management, and geriatric stability assessment and fall monitoring.
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科研奖励(0)
会议论文
HIGH-COMPLEX-HIGH-REFINED-CHO MEALS, AND LOW-CHO MEALS ON ENDOTHELIAL FUNCTION
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批准号:7718571
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项目类别:
-
资助金额:$11.38万
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财政年份:2008
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负责人:GLENN A GAESSER
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依托单位:
A Wireless, Multimode, Artificial Neural Network-Based Physical Activity Monitor
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批准号:7690203
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项目类别:
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资助金额:$40.2万
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财政年份:2008
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负责人:GLENN A GAESSER
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依托单位:
EFFECT OF GLYCEMIC INDEX AND CEREAL FIBER ON VASCULAR ENDOTHELIAL FUNCTION
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批准号:7718573
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项目类别:
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资助金额:$4.05万
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财政年份:2008
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负责人:GLENN A GAESSER
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依托单位:
A Wireless, Multimode, Artificial Neural Network-Based Physical Activity Monitor
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批准号:8288683
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项目类别:
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资助金额:$43.96万
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财政年份:2008
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负责人:GLENN A GAESSER
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依托单位:
A Wireless, Multimode, Artificial Neural Network-Based Physical Activity Monitor
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批准号:8116994
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项目类别:
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资助金额:$46.86万
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财政年份:2008
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负责人:GLENN A GAESSER
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依托单位:
LOW-CHO & HIGH-CHO, HIGH-FIBER DIETS & RISK MARKERS FOR THE METABOLIC SYNDROME
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批准号:7718547
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项目类别:
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资助金额:$4.65万
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财政年份:2008
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负责人:GLENN A GAESSER
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依托单位:
LOW-CHO & HIGH-CHO, HIGH-FIBER DIETS & RISK MARKERS FOR THE METABOLIC SYNDROME
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批准号:7606693
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项目类别:
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资助金额:$3.21万
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财政年份:2007
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负责人:GLENN A GAESSER
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依托单位:
VALIDATION OF AN INTEGRATED HEART RATE/ACTIVITY MONITOR
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批准号:7606688
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项目类别:
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资助金额:$6.95万
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财政年份:2007
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负责人:GLENN A GAESSER
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依托单位:
HIGH-COMPLEX-HIGH-REFINED-CHO MEALS, AND LOW-CHO MEALS ON ENDOTHELIAL FUNCTION
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批准号:7606717
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项目类别:
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资助金额:$3.56万
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财政年份:2007
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负责人:GLENN A GAESSER
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依托单位:
INTERNET-BASED FITNESS/NUTRITION EFFECT ON FITNESS,BODY FAT,LIPIDS,INSULIN,DIET
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批准号:7205476
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项目类别:
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资助金额:$3.47万
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财政年份:2005
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负责人:GLENN A GAESSER
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依托单位:
LOW-CHO & HIGH-CHO, HIGH-FIBER DIETS & RISK MARKERS FOR THE METABOLIC SYNDROME
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批准号:7205515
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项目类别:
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资助金额:$2.84万
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财政年份:2005
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负责人:GLENN A GAESSER
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依托单位:
Validation of an Integrated Heart Rate/Activity Monitor
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批准号:6941373
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项目类别:
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资助金额:$11.36万
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财政年份:2004
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负责人:GLENN A GAESSER
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依托单位:
Gender Related Motor Control Compensations During Landing Tasks
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批准号:7043010
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项目类别:
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资助金额:$0.88万
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财政年份:2004
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负责人:GLENN A GAESSER
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依托单位:
Validation of an Integrated Heart Rated/Activity Monitor
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批准号:6822065
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项目类别:
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资助金额:$12.64万
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财政年份:2004
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负责人:GLENN A GAESSER
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依托单位:
IMPACT OF RESISTANCE TRAINING ON INSULIN SENSITIVITY
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批准号:6579041
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项目类别:
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资助金额:$4.85万
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财政年份:2002
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负责人:GLENN A GAESSER
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依托单位:
IMPACT OF RESISTANCE TRAINING ON INSULIN SENSITIVITY
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批准号:6477568
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项目类别:
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资助金额:$4.85万
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财政年份:2001
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负责人:GLENN A GAESSER
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依托单位:
海外基金