Passive Health Monitoring for Elderly Care

Description:

This technology employs passive, compliance-free sensors integrated into beds and living environments to continuously monitor elderly individuals’ blood pressure, sleep stages, body composition, and movement patterns. It aims to predict daily behavior changes, estimate fall risk, and provide actionable insights to caregivers without requiring active user participation. The system builds on existing patents and includes plans for piloting in nursing homes, targeting improved patient outcomes and reducing healthcare costs associated with falls and other age-related conditions.

 

Key Advantages:

  • Non-intrusive, compliance-free monitoring increases ease of use and adoption.
  • Comprehensive sensing captures multiple health parameters continuously.
  • Early prediction of fall risk and health declines supports timely interventions.
  • Reduces healthcare costs by preventing expensive emergency events.
  • Applicable across diverse populations including elderly and children with autism.
  • Leverages patented technology for competitive advantage and intellectual property protection.

 

Problems Solved:

  • High cost and impact of falls in elderly populations.
  • Challenges in continuous health monitoring without burdening users.
  • Lack of effective early warning systems for health deterioration in passive environments.
  • Difficulty in obtaining reliable body composition data outside clinical settings.

 

Market Applications:

  • Nursing homes and long-term care facilities for fall risk prevention.
  • Medical bed manufacturers integrating smart sensors to improve safety.
  • Home health care monitoring systems for elderly individuals aging in place.
  • Clinical trials and healthcare providers seeking better patient monitoring tools.
  • Insurance companies aiming to reduce claims related to fall injuries and associated costs.

 

Patent Information:
Title App Type Country Serial No. Patent No. File Date Issued Date Expire Date Patent Status
New Bed Sensor Application Provisional United States 64/053,376   4/30/2026   4/30/2027 Pending
For Information, Contact:
Robert Reis
Licensing Associate
Texas State University - San Marcos
svj24@txstate.edu
Inventors:
David Thompson
Keywords:
Artificial Intelligence
Bed Sensor Systems
Data
Engineering
Healthcare Technology
Software
Wearable Sensor Systems
Wearable Technology
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