Mindset Medical develops a digital health platform that utilizes remote photoplethysmography (rPPG) technology to transform standard cameras into contactless vital sign measurement devices. This solution eliminates the need for traditional measurement tools, enabling real-time health checks that can be securely shared with healthcare providers.
Funding
$9.8M 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.
Founders
Product
Problem
Traditional vital sign monitoring requires physical contact with patients, specialized equipment, and trained personnel, creating barriers to frequent and convenient health checks, especially in remote or resource-constrained settings. Reliance on wearables or cuff-based devices can be cumbersome, uncomfortable, and prone to user error, limiting the feasibility of continuous or frequent monitoring.
Solution
Mindset Medical offers a contactless vital sign measurement solution that leverages remote photoplethysmography (rPPG) technology to transform standard cameras into health monitoring devices. By analyzing subtle changes in skin coloration caused by blood flow, the system extracts physiological measurements without requiring any physical contact. The technology uses a neural network to divide a patient's face into multiple measurement zones, processing these changes into waveforms in fractions of a second. This enables real-time health checks that can be securely shared with healthcare providers, facilitating remote patient monitoring and proactive health management.
Target Audience
The primary target audience includes healthcare providers, remote patient monitoring programs, and individuals seeking convenient and contactless vital sign monitoring solutions.
Features
- Contactless vital sign measurement using remote photoplethysmography (rPPG)
- Compatibility with standard cameras on smartphones, tablets, and computers
- Neural network-based facial analysis for precise measurement
- Real-time processing and waveform generation
- Secure data transmission with end-to-end encryption
- Edge processing: all video frames are collected and analyzed on the end-user’s device. No identifiable video is sent across the internet. Once a video frame is collected, it is immediately processed and erased
- API integration for seamless integration into existing digital health ecosystems