Non-intrusive Locomotion and Gait Stability Analysis Monitoring System for the El
Non-intrusive Locomotion and Gait Stability Analysis Monitoring System for the El
批准号:
7272468
负责人:
Sunil Saxena
金额:
$9.98万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-15 至 2008-11-29
关键词:
AccelerationActivities of Daily LivingAgingAlgorithmsAnkleAreaBehavior DisordersBlood Chemical AnalysisBlood GlucoseBlood PressureBody TemperatureBody partCaregiversCellsCharacteristicsClinicalCollaborationsComputer softwareConditionDataData AnalysesData CollectionDetectionDevicesDiseaseEarly DiagnosisEarly InterventionEffectivenessElderlyEvaluationFall preventionFreedomFutureGaitGait abnormalityGeriatricsGerontologyGoalsHealthHealth PersonnelHealth Services ResearchHeart RateIndividualInjuryInstitutesInterventionInvasiveKineticsLaboratoriesLaboratory ResearchLasersLegal patentLifeLocationLocomotionMechanicsMedicalMental DepressionMethodsMonitorMorbidity - disease rateMotionMovementNumbersNursing HomesParkinson DiseasePathologyPatientsPatternPersonal SatisfactionPersonsPhasePhysical activityPlacementPopulationPopulations at RiskPost-Traumatic Stress DisordersProcessPulse OximetryRateResearchResearch DesignResearch PersonnelRiskShockSmall Business Funding MechanismsSmall Business Innovation Research GrantSystemSystems AnalysisTechniquesTechnologyTestingTimeUniversitiesVirginiaWalkingWireless TechnologyWorkWristbasecostdesigndesirefallsgait examinationglucose monitorhuman subjectinnovationmembermeterminiaturizemortalitynovelpressureprogramsprototyperesearch studyrespiratorysensor
中文摘要
描述(由申请人提供):该提案用于SBIR I期研究,以确定一种创新的新设备的设计和可行性,用于高级运动分析,包括:行走评估和跌倒预防,姿势扰动评估和活动评估。它完全响应了NIA在2006年综合征集中确定为高优先级的主题领域,特别是老年病学和临床老年学项目。该设备将是一种不显眼、低功耗的无线设备,可佩戴在手腕上(类似于手表)。它将包括一个传感器套件,包括小型陀螺仪、加速度计、压电和新型机电传感器设备的评估和选择,并能够将捕获的数据无线传输到远程服务器,用于高级运动分析。使用特定的专利和经过测试的算法,该系统将能够为用户提供被监控个体的以下信息:行走评估和跌倒预防——该系统将能够确定一个人的基线行走“足迹”,并确定是否有任何重大偏离个人的基线需要干预。该系统还将有算法来识别产生典型步态异常(如帕金森病)的某些疾病状况。目标是预防跌倒,从而减少与跌倒伤害有关的发病率和死亡率。2. 姿势摄动-类似于移动评估,该设备将描述个体的基线,并能够确定任何需要干预的重大姿势偏离基线。同样,这将允许早期干预,在个人跌倒和遭受潜在的危及生命的伤害之前。3. 活动评估-系统将能够确定个人的平均活动,并发送警报,如果有任何显著偏离个人的基线或偏离预先确定的基线。这一功能对于确定个体是否患有限制或夸大其活动的任何疾病至关重要。该功能在研究和识别行为障碍,如抑郁症或创伤后应激障碍方面将特别有用。该提议的设备将在老龄化研究领域有用,用于医疗保健动态评估和长期不显眼的监测老年人跌倒的风险。这项研究和产生的设备将提供以下好处:加强监测长者健康和福祉的能力。2.对老年人(和其他)人群进行进一步的长期和短期研究。AFrame开发了一款原型可穿戴、低功耗、表格友好、无线、基于手腕的设备,提供以下功能:(1)体温(2)脉搏血氧测量(3)心率(4)位置信息。AFrame目前正在努力增加进一步的生命体征功能,特别是(1)血压和(2)呼吸频率。正如本提案中详述的那样,afframe还致力于增加跌倒检测、步态分析、姿态扰动评估和活动评估。可穿戴设备可用于短期或长期收集这些数据。未来设想的功能包括:(1)无袖带血压(2)休克仪(3)激光脉搏血氧仪(AFrame顾问David Goldfarb博士的专利技术)(4)血液化学(5)GPS或基于细胞的定位(E911)(6)无创血糖监测仪。随着未来传感器或其他设备的开发,它们可以集成到AFrame创新的开放式健康监测系统中。这份提案是与瑟蒙·洛克哈特医生合作的。洛克哈特博士是弗吉尼亚理工学院和州立大学运动研究实验室的主任。AFrame将与洛克哈特博士在第一阶段的研究中密切合作,通过人体试验来证明其可行性。该提案协同利用了AFrame目前的技术和可穿戴设备原型,以增加被国家老龄化研究所确定为高优先级领域的功能。考虑到学术研究人员、医疗保健提供者和老年护理机构等各种机构需要密切监测患者,该系统将具有强大的商业潜力。该提案用于SBIR I期研究,以确定一种创新的新设备的设计和可行性,用于高级运动分析,包括:行走评估和跌倒预防,姿势摄动评估和活动评估。它完全响应了NIA在2006年综合征集中确定为高优先级的主题领域,特别是老年病学和临床老年学项目。该设备将是一种不显眼、低功耗的无线设备,可佩戴在手腕上(类似于手表)。它将包括一个传感器套件,包括小型陀螺仪、加速度计、压电和新型机电传感器设备的评估和选择,并能够将捕获的数据无线传输到远程服务器,用于高级运动分析。使用特定的专利和经过测试的算法,该系统将能够为用户提供有关行走评估、姿势扰动和活动评估的信息。与弗吉尼亚理工大学合作的人体实验将在第一阶段进行,以证明可行性。
英文摘要
DESCRIPTION (provided by applicant): This proposal is for SBIR Phase I research to determine the design and feasibility of an innovative, new device for advanced locomotion analysis including: ambulation assessment and fall prevention, postural perturbation assessment and activity assessment. It is fully responsive to topic areas identified as high-priority by the NIA, specifically the Geriatrics and Clinical Gerontology Program, in the 2006 Omnibus Solicitation. The proposed device will be an unobtrusive, low-power, wireless device that attaches at the wrist (similar to a wrist watch). It will consist of a sensor suite including evaluation and selection of miniaturized gyroscope, accelerometer, piezoelectric and novel electro-mechanical sensor devices and be able to wirelessly transmit the captured data to a remote server for advanced locomotion analysis. Using specific patented and tested algorithms the system will be able to give the user the following information on a monitored individual: 1. Ambulation Assessment and Fall Prevention - the system will be able to determine an individual's baseline ambulation "footprint" and determine if there is any significant deviation from the individual's baseline requiring intervention. The system will also have algorithms to identify certain disease conditions that produce characteristic gait abnormalities such as Parkinson's disease. The goal is to prevent falls and thus reduce the morbidity and mortality associated with fall injuries. 2. Postural Perturbation - similar to ambulation assessment the device will characterize an individual's baseline and be able to determine any significant postural deviations from the baseline requiring intervention. Again, this will allow for early intervention, before the individual falls and suffers from a potentially life-threatening injury. 3. Activity Assessment - the system will be able to determine the average activity for an individual and send alerts if there is any significant deviation from the individual's baseline or deviation from a pre- determined baseline. This function will be vital to determine if the individual is suffering from any disease process limiting or exaggerating their activity. This function will be particularly useful in studying and identifying behavioral disorders such as depression or post-traumatic stress disorder. The proposed device will be useful in the area of aging research, for healthcare ambulatory assessment and for long-term unobtrusive monitoring of elderly populations at risk of falling. The research and resulting device will provide the following benefits: 1.Enhance the ability to monitor the health and well being of the elderly. 2.Enable further long and short term research in the elderly (and other) population 3.Enable the long-term monitoring and early intervention in high-risk populations AFrame has developed a prototype wearable, low-power, form-friendly, wireless, wrist-based device that provides the following functions: (1) Body Temperature (2) Pulse Oximetry (3) Heart Rate and (4) Location Information. AFrame is currently working to add further vital signs capability, specifically (1) Blood Pressure and (2) Respiratory Rate. As detailed in this proposal, AFrame is also working to add fall detection, gait analysis, postural perturbation assessment and activity assessment. The wearable device can be used to collect this data on a short or long-term basis. Future functions envisioned include (1) Cuff-less Blood Pressure (2) Shock Meter (3) Laser Pulse Oximetry (a technique patented by Dr. David Goldfarb, an AFrame adviser) (4) Blood Chemistries (5) GPS or Cell-Based Location (E911) (6) Non-Invasive Blood Glucose Monitor. As future sensors or other devices are developed they can be integrated into AFrame's innovative, open health monitoring system. This proposal is in collaboration with Dr. Thurmon Lockhart. Dr. Lockhart is the director of the Locomotion Research Laboratory at the Virginia Polytechnic Institute and State University. AFrame will be working closely with Dr. Lockhart in this Phase I research to demonstrate feasibility through human subjects testing. This proposal synergistically leverages AFrame's current technology and prototype wearable device to add functionality that has been identified as a high-priority area by the National Institute of Aging. The proposed system will have strong commercial potential given various organizations including academic researchers, healthcare providers and eldercare facilities have the need to closely monitor their patients. This proposal is for SBIR Phase I research to determine the design and feasibility of an innovative, new device for advanced locomotion analysis including: ambulation assessment and fall prevention, postural perturbation assessment and activity assessment. It is fully responsive to topic areas identified as high-priority by the NIA, specifically the Geriatrics and Clinical Gerontology Program, in the 2006 Omnibus Solicitation. The proposed device will be an unobtrusive, low-power, wireless device that attaches at the wrist (similar to a wrist watch). It will consist of a sensor suite including evaluation and selection of miniaturized gyroscope, accelerometer, piezoelectric and novel electro-mechanical sensor devices and be able to wirelessly transmit the captured data to a remote server for advanced locomotion analysis. Using specific patented and tested algorithms the system will be able to give the user information on ambulation assessment, postural perturbations and activity assessment. Human subjects testing in collaboration with Virginia Tech will be conducted during Phase I to demonstrate feasibility.
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