Position tracking and mobility assessment system for indoor monitoring of elders
Position tracking and mobility assessment system for indoor monitoring of elders
批准号:
7801501
负责人:
Eric A Wan
金额:
$18.14万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2012-02-29
关键词:
AcademiaActivities of Daily LivingAffectAgeAgingAging-Related ProcessAlgorithmsCharacteristicsCognitiveCognitive deficitsCommunitiesComputer softwareCost of IllnessDataDetectionDevelopmentDevicesElderlyElementsEmergency SituationEngineeringEnvironmentEvaluationEventFailureGaitGrantHealthHealth PersonnelHealth ProfessionalHealth SciencesHealthcareHealthcare SystemsHome environmentIndependent LivingIndividualIndustryInternetLaboratoriesLengthLifeLocationLong-Term CareMarketingMeasurementMethodsModificationMonitorMotionMovementNotificationOregonPatient MonitoringPatient Monitoring SystemPatientsPerformancePersonal SatisfactionPersonsPhasePopulationPopulation StudyPositioning AttributeQuality of lifeRadioResearchResearch PersonnelRiskSafetySecureServicesSignal TransductionSmall Business Technology Transfer ResearchSolutionsSpeedSystemTalentsTechnologyTimeUnited States National Institutes of HealthUniversitiesWalkingWireless TechnologyWorkabsorptionage effectbaseclinically relevantcognitive functioncommercializationcompliance behaviorcostdesigndigitalforgettingimprovedindustry partnermultidisciplinarynovel strategiesolder patientphysical conditioningpoint of careprogramsprototypepublic health relevanceresearch clinical testinguser-friendly
中文摘要
描述(由申请人提供):该项目的长期目标是使老年人能够在自己的家中独立生活,并确保医疗保健专业人员可以远程监控他们的安全和福祉。远程卫生保健监测的一个关键组成部分是物理跟踪患者在生活环境中的位置并评估患者的活动能力。研究表明,包括步态特征在内的活动能力与患者健康密切相关,活动能力的变化可能是认知和/或身体衰退的一个指标。位置跟踪和移动信息可以进一步用于估计临床相关的日常生活活动,这在评估患者健康方面也很有用。
英文摘要
DESCRIPTION (provided by applicant): The long term objective of this project is to enable elderly persons to independently live within their own homes later into their lives with the assurance that their safety and well-being can be remotely monitored by health care professionals. A critical component of remote health care monitoring is physically tracking the location of the patient within a living environment and assessing the patient's mobility. Research has shown that mobility, which includes gait characteristics, is integrally related to patient health and changes in mobility can be an indicator of cognitive and/or physical decline. Positional tracking and mobility information can be further used to estimate clinically relevant activities of daily living, which are also useful in assessing patient health.
The objective of this STTR is to research and develop a Position Tracking and Mobility Assessment System targeted specifically for elderly patients within their home environment. The eventual system will be low-cost, accurate, unobtrusive, and simple to install. The specific aims of phase 1 are to perform the research necessary to demonstrate two configurations or modes of the system: Tag-Based Tracking that relies on the patient(s) wearing a tiny wireless transceiver about the size of a quarter, and Tag-Free Tracking that will enable position and velocity tracking even when a patient is not carrying a tracking tag. Both modes make use of low-power wireless technology and changes in receive-signal-strength-indicator (RSSI), which indicates distance between a transmitter and a receiver. Position tracking for the Tag-Based Tracking will be performed by probabilistic inference using multiple RSSI measurements between the tag and small transceivers mounted on walls of the home. Position tracking will be augmented by fusing RSSI data with digital compass and accelerometer data. The Tag-Free Tracking will be for single-patient monitoring conditions and if successful will provide a unique solution that mitigates a critical compliance risk regarding patient failure to wear the tags. Tracking is again achieved using RSSI data and the hardware installation within the home is identical to the tag-based tracking. However, the tag-free method relies only on wall-mounted transceivers to detect changes in RSSI measurements affected by reflections and absorption off of the patient moving within a room.
The Position Tracking and Mobility Assessment System will be designed using the wireless platform engineered by EmbedRF LLC - the industry partner for this project. Work on the tracking algorithms will be performed by researchers at the Oregon Health & Sciences University - the academic/research partner. Phase 1 will involve research to demonstrate feasibility of the technology, and producing prototype systems for evaluation at the OHSU point-of-care lab. Phase 2 efforts will include hardware modifications and algorithm design to improve both tracking performance and the detection of other aspects of mobility. Phase 2 will also involve further commercialization efforts and development of the remote monitoring and notification system for use by health-care professionals, and include a more extensive clinical evaluation within peoples' homes.
PUBLIC HEALTH RELEVANCE: The ability to move is a critical function that underlies the quality of life of elders. In addition, changes in aspects of mobility such as speed of walking and stride length have been shown to correlate with changes in physical and cognitive function. Development of a low cost system for unobtrusive position tracking and mobility assessment will allow elders to continue independent living within their homes while knowing that health care providers are monitoring their well-being over time or should an emergency arise.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Multi-resident identification using device-free IR and RF fingerprinting.
使用无设备红外和射频指纹识别进行多居民身份识别。
DOI:
10.1109/embc.2015.7319632
发表时间:
2015
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
作者:
[Schafermeyer,ErichR, Wan,EricA, Samin,Shadman, Zentzis,Noah, Preiser,Nicholas, Condon,John, Folsom,Jon, Jacobs,PeterG]
通讯作者:
Jacobs,PeterG
Position tracking and mobility assessment system for indoor monitoring of elders
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批准号:8721291
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项目类别:
-
资助金额:$42.87万
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财政年份:2010
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负责人:Eric A Wan
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依托单位:
Position tracking and mobility assessment system for indoor monitoring of elders
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批准号:8523498
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项目类别:
-
资助金额:$37.2万
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财政年份:2010
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负责人:Eric A Wan
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依托单位:
Noninvasive Blood Glucose Monitoring Using Otoacoustic Emissions
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批准号:7555076
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项目类别:
-
资助金额:$17.27万
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财政年份:2008
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负责人:Eric A Wan
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依托单位:
Noninvasive Blood Glucose Monitoring Using Otoacoustic Emissions
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批准号:7385594
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项目类别:
-
资助金额:$20.71万
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财政年份:2008
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负责人:Eric A Wan
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依托单位:
海外基金