SBIR-STTR Award

Falls among the elderly, one of the most common reasons requiring medical intervention and a contributing factor in 40% of nursing home admissions, are a major health problem. Several studies have identified quantifiable gait markers that appear to distinguish between elderly "fallers" and non-fallers. These studies have relied on data acquired in gait-laboratories. Extending gait assessment capability, and falls detection, into the home could provide valuable before-the-fact information on gait weakness evolution, which in turn could be used to assess the efficiency of counter measures. Current mobile gait analysis techniques are insufficient because they rely on compliance or are too intrusive. The development of a new gait assessment and falls monitor is proposed. The device is passive and obtains gait data from sensing floor vibrations as well as a minimally invasive wireless device, precluding the need to walk on special surfaces or be observed by cameras. This study's principal aim is to validate the device's performance through a comparison with accepted gait assessment techniques at the Physical Medicine and Rehabilitation Gait lab at the University of Virginia Health System.

Public Health Relevance:
An estimated 20% - 40% of community-dwelling elderly fall at least once a year and this rate increase for nursing home residents. Fall-related injuries are among the most common reasons requiring medical intervention and are a contributing factor in 40% of nursing home admissions. The cost of falls to the national economy is significant. In 1994 the total cost due to falls was estimated to be $20.2 billion. This number is expected to climb to $32.2 billion by 2020. One suggestion for reducing the number of falls has been the creation of a fall risk assessment for institutional residents, an important component of which is gait assessment. In view of the results obtained during the Phase I effort it appears that the floor sensor system may be able to answer a well defined need for which there is presently no other solution that promises to be as readily implementable and for which the market potential is significant.

Thesaurus Terms:
Acceleration; Accounting; Admission; Admission Activity; Aged 65 And Over; Analysis, Data; Au Element; Bears; Blood Pressure Monitors; Caring; Cessation Of Life; Cognitive Disturbance; Cognitive Impairment; Cognitive Decline; Cognitive Function Abnormal; Communities; Computer Interface; Data; Data Analyses; Death; Depression; Detection; Development; Devices; Disturbance In Cognition; Domiciliary Care; Drugs; Elderly; Elderly, Over 65; Employee Strikes; Equilibrium; Equipment; Event; Evolution; Examination Of Gait; Fall Prevention; Fear; Fees; Floor; Fright; Gait; Gait Analysis; Gold; Health; Health System; Heel; Home; Home Care Services; Home Environment; Home For Seniors; Homes For The Aged; Hour; Impaired Cognition; Individual; Injury; Intervention; Intervention Strategies; Laboratories; Left; Length; Letters; Licensing; Life; Maintenance; Maintenances; Marketing; Measures; Medical; Medication; Mental Depression; Methods And Techniques; Methods, Other; Minority; Monitor; Mortality; Mortality Vital Statistics; Muscle Weakness; Muscular Weakness; Noise; Nursing Homes; Old Age Homes; Operation; Operative Procedures; Operative Surgical Procedures; Pattern; Performance; Pharmaceutic Preparations; Pharmaceutical Preparations; Phase; Physiatrics; Physiatry; Physical Health Services / Rehabilitation; Physical Medicine; Population; Prevention; Principal Investigator; Process; Programs (Pt); Programs [publication Type]; Rehabilitation; Rehabilitation Therapy; Rehabilitation, Medical; Relative; Relative (Related Person); Research; Resolution; Retirement; Retrospective Studies; Risk; Risk Assessment; Risk Factors; Running; Scheme; Services; Shoes; Side; Solutions; Speed; Speed (Motion); Sphygmomanometers, Continuous; Strikes; Strikes, Employee; Suggestion; Surface; Surgical; Surgical Interventions; Surgical Procedure; System; System, Loinc Axis 4; Techniques; Technology; Testing; Time; Transmission; Universities; Ursidae; Ursidae Family; Validation; Vibration; Vibration - Physical Agent; Virginia; Visit; Walkers; Walking; Wireless Technology; Wood; Wood Material; Advanced Age; Analog; Balance; Balance Function; Base; Cognitive Dysfunction; Cognitive Loss; Cognitively Impaired; Community Setting; Comparative; Cost; Design; Designing; Digital; Drug/Agent; Elders; Fall Risk; Falls; Gait Examination; Geriatric; Home For Elderly; Home Health Care; Interest; Interventional Strategy; Late Life; Later Life; Minimally Invasive; Nursing Home; Older Adult; Older Person; Programs; Prototype; Public Health Relevance; Rehabilitative; Residence; Response; Senior Citizen; Sensor; Surgery; Tool; Transmission Process; Trend; Vibration; Volunteer; Wireless

Falls among the elderly, one of the most common reasons requiring medical intervention and a contributing factor in 40% of nursing home admissions, are a major health problem. Several studies have identified quantifiable gait markers that appear to distinguish between elderly "fallers" and non-fallers. These studies have relied on data acquired in gait-laboratories. Extending gait assessment capability, and falls detection, into the home could provide valuable before-the-fact information on gait weakness evolution, which in turn could be used to assess the efficiency of counter measures. Current mobile gait analysis techniques are insufficient because they rely on compliance or are too intrusive. The development of a new gait assessment monitor is proposed. The device is passive and obtains gait data from miniature, shoe-worn, wireless devices, precluding the need to put on sensors, watches etc, walk on special surfaces, or be observed by cameras. This study's principal aim is to validate the device's performance through a comparison with accepted gait assessment techniques at the Motion Analysis & Motor Performance Laboratory at the University of Virginia Health System as well as a comparison study with accepted gait assessment tests at a local retirement community.

Public Health Relevance Statement:


Public Health Relevance:
Falls among the elderly, one of the most common reasons requiring medical intervention and a contributing factor in 40% of nursing home admissions, are a major health problem. Several studies have identified quantifiable gait markers that appear to distinguish between elderly "fallers" and non-fallers. These studies have relied on data acquired in gait-laboratories. Extending gait assessment capability, and falls detection, into the home could provide valuable before-the-fact information on gait weakness evolution, which in turn could be used to assess the efficiency of counter measures. Current mobile gait analysis techniques are insufficient because they rely on compliance or are too intrusive. The development of a new gait assessment monitor is proposed. The device is passive and obtains gait data from miniature, shoe-worn, wireless devices, precluding the need to put on sensors, watches etc,. walk on special surfaces, or be observed by cameras. This study's principal aim is to validate the device's performance through a comparison with accepted gait assessment techniques at the Motion Analysis & Motor Performance Laboratory at the University of Virginia Health System as well as a comparison study with accepted gait assessment tests at a local retirement community.

Project Terms:
Admission activity; Assisted Living Facilities; base; Blood Pressure Monitors; Characteristics; Clinical Research; Communities; community living; community setting; comparative; Computer Interface; Computer software; Computers; Data; design; Detection; Development; Devices; Elderly; Electronics; Environment; Equipment; Evolution; falls; field study; Gait; gait examination; Gold; Grant; Health; Health system; Home environment; Homes for the Aged; Intervention; Laboratories; Laboratory Study; Length; Licensing; Life; Marketing; Measures; Medical; meetings; Miniaturization; miniaturize; Minority; Monitor; Motion; Motor; Nursing Homes; Pattern; Performance; Phase; Process; prototype; public health relevance; Reporting; Research; Retirement; sensor; Shoes; Site; Support System; Surface; System; Techniques; Technology; technology validation; Testing; Time; Universities; User Compliance; Virginia; Walking; Wireless Technology