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Novel Automated Screening Approach for Identifying Fall Risk

Award Information
Agency: Department of Health and Human Services
Branch: Centers for Disease Control and Prevention
Contract: R43CE003636-01
Agency Tracking Number: R43CE003636
Amount: $343,144.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: CDC
Solicitation Number: PA22-176
Timeline
Solicitation Year: 2022
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-09-30
Award End Date (Contract End Date): 2024-09-29
Small Business Information
976 Summit Ave
SAINT PAUL, MN 55105-3031
United States
DUNS: 621641237
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 SARA SEIFERT
 (612) 803-6998
 saraseifert@yahoo.com
Business Contact
 SARA SEIFERT
Phone: (612) 803-6998
Email: sara@minnhealth.com
Research Institution
N/A
Abstract

Project Summary/Abstract The proposed project relates to the development of a novel passive automated screening approach for identifying fall risk in the elderly. Falls are the leading cause of both fatal and non-fatal injuries among adults age 65 and older and the risk of fall-related death among older adults is increasing. Annually, 28.7% of older adults fall in the United States, resulting in 300,000 hip fractures and over $70 billion dollars in medical costs in 2020. Improved tools are needed to identify changes that increase fall risk. These tools are preferably, unobtrusive, automated, entirely passive and deployable in the home environment. Recent research has described a novel technique for eye tracking that is useful for identifying neuropathologies. This approach is feasible for inexpensive deployment in the home using entertainment platforms as the foundational instrument for passively conducting the examination. The objective of this project is to develop and evaluate a prototype system using this approach. A prototype system will be specified, designed, tested, and evaluated in a human trial.

* Information listed above is at the time of submission. *

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