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Graphene Trace

Graphene Trace develops a pressure-sensing system that monitors weight distribution on wheelchair cushions to prevent pressure ulcers in users. By delivering real-time feedback to both users and healthcare providers, the technology aims to reduce the incidence of these injuries in hospital environments.

Founded 20205500+ followers
Updated 4 months ago

Funding

$323K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Pressure ulcers are a significant concern, particularly for individuals with limited mobility, often leading to pain, infection, and increased healthcare costs. Current methods for pressure ulcer prevention often rely on manual checks and infrequent repositioning, which can be inconsistent and insufficient. The lack of continuous, real-time monitoring makes it difficult to proactively manage pressure distribution and prevent tissue damage.

Solution

Graphene Trace offers a smart pressure-sensing system designed to continuously monitor weight distribution and provide real-time feedback for pressure ulcer prevention. The system utilizes a thin, flexible fabric sensor incorporating graphene technology to map pressure distribution on any seat or bed. Through continuous monitoring and AI-powered analysis, the system delivers personalized alerts, guiding users or caregivers on when and how to reposition to minimize pressure points. This proactive approach aims to improve patient outcomes, reduce healthcare costs associated with pressure ulcer treatment, and enhance the overall quality of care.

Target Audience

The primary target audience includes individuals at risk of developing pressure ulcers, such as wheelchair users and bedridden patients, as well as healthcare providers in hospitals, care homes, and rehabilitation centers.

Features

  • Continuous pressure monitoring using a graphene-based fabric sensor
  • Personalized, automated prevention analysis via integrated AI algorithms
  • Smart alerts that provide timely and specific repositioning guidance
  • Flexible sensor design adaptable to wheelchairs, cushions, car seats, and beds
  • High-sensitivity and high-resolution pressure mapping for accurate data capture
  • Wireless data transmission for real-time monitoring and analysis
This profile is AI-generated and may contain inaccuracies.