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Active SBIR-STTR RPGS NIH (US)

Development and Commercialization of a weight monitoring platform for wheelchair users

$9.87M USD

Funder EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
Recipient Organization Nurelm E-Business Software
Country United States
Start Date Aug 21, 2024
End Date Jul 31, 2026
Duration 709 days
Number of Grantees 2
Roles Co-Investigator; Principal Investigator
Data Source NIH (US)
Grant ID 10920281
Grant Description

Project Summary/Abstract This project will complete the final design and development steps to commercialize the Fast In-Bed Tracking (FIT) Platform, which is an e-Health and wellness Internet of Things (IoT) monitoring system that can be integrated into a user’s bed and provide person-centered, real-world outcomes to support health and

wellness. The technical feasibility of FIT was proven over the past several years and has demonstrated the platform can support the treatment of several chronic conditions across different populations, including obesity, congestive heart failure, and pressure injuries. The project goals will be to (1) complete design

refinements for FIT and (2) demonstrate the platform’s efficacy to support weight loss goals of wheelchair users. Wheelchair users are twice as likely as the general population to be overweight or obese and excess weight not only exacerbates mobility and participation limitations but increases risk for secondary health

problems. Evidence reveals that frequent weight monitoring is a key driver for weight management, which puts wheelchair users at a significant disadvantage, because they have no convenient way to measure their body weight. As a recent example, lack of participant’s ability to self-weigh was a noted limitation to a

weight loss program for wheelchair users, known as the Group Lifestyle Balance weight loss program Adapted for Individuals with Impaired Mobility (GLB-AIM). FIT solves this challenge by passively monitoring a user's weight when they get on and off their bed. Our lab and community-based feasibility trials

demonstrated that FIT successfully tracks weight for individuals and couples sharing a bed and that users find FIT highly usable. This proposed project will allow our team to complete the design refinements users recommended during our community-based feasibility trial and subsequently examine the efficacy of FIT in

supporting the weight-loss goals of community-dwelling wheelchair users through a randomized controlled trial using the GLB-AIM.

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Nurelm E-Business Software

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