VitalTracer develops the VT-Patch, a lightweight wearable device that continuously monitors vital signs in pediatric patients by recording ECG, PPG, and motion data for up to 24 hours. This technology enables healthcare providers to detect health complications early, reduce hospital stays, and enhance patient care efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Continuous vital sign monitoring in pediatric patients often requires cumbersome equipment and frequent hospital visits, posing challenges for early detection of health complications and efficient patient care, especially outside of traditional clinical settings. Current monitoring solutions may not be adaptable to the unique physiological characteristics and activity levels of infants, toddlers, and children.
Solution
VitalTracer offers the VT-Patch, a lightweight, wearable biosensor designed for continuous remote monitoring of pediatric patients' vital signs. The VT-Patch records ECG, PPG, motion, and temperature data for up to 24 hours, enabling healthcare providers to proactively identify potential health issues. The device transmits raw biosignals to a secure cloud-based environment, allowing researchers to integrate the data into various software algorithms. Real-time data can be displayed on a desktop and mobile app, facilitating timely clinical intervention and potentially reducing hospital stays.
Target Audience
The primary target audience includes healthcare providers, clinical researchers, and hospitals focused on pediatric care, as well as those involved in remote patient monitoring and clinical trials.
Features
- Lightweight (30g) and flexible patch design for comfortable and continuous wear on pediatric patients aged 0-18, regardless of skin color
- Measures 1-lead ECG, 2 PPG (Red and IR), 3-axis accelerometer, 3-axis gyroscope, and skin temperature
- Up to 24 hours of continuous monitoring with a 450mAh battery (ECG and Motion) or 8 hours recording ECG, PPG, and Motion
- 4GB internal memory for up to 12 days of raw biosignal data storage
- Cloud storage option for secure data management and accessibility
- Compatible with MATLAB, Python, R, TensorFlow, C++, and Excel for algorithm integration
- Real-time data display via desktop and mobile applications
- Respiratory rate measurement derived from ECG signal (EDR)