An open-source Raspberry Pi HAT that transforms the Pi into a full-featured vital sign monitor for ECG, SpO2, and respiration.
HealthyPi v3 is an open-source hardware add-on that transforms a Raspberry Pi into a complete vital sign monitoring system. It measures ECG, pulse oximetry (SpO2), respiration rate, and skin temperature, providing medical-grade monitoring capabilities in an accessible, customizable package. The project includes both hardware designs and software for data visualization and analysis.
Medical researchers, biomedical engineers, makers, and developers building custom health monitoring solutions or educational tools. It's ideal for those who need professional-grade vital sign monitoring with full hardware and software control.
As the first fully open-source vital sign monitor, HealthyPi offers complete transparency and customization unavailable in commercial medical devices. Its Raspberry Pi integration lowers the barrier to entry for professional health monitoring while maintaining medical-grade accuracy.
HealthyPi is the first fully open-source, full-featured vital sign monitor. Using the Raspberry Pi as its computing and display platform, the HealthyPi add-on HAT turns the Raspberry Pi into a vital sign monitoring system.
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Simultaneously measures ECG, SpO2, respiration rate, and skin temperature using professional sensors, providing comprehensive vital sign data in one device as described in the key features.
Plugs directly into GPIO pins with a one-click installation script (curl command) for easy setup, turning the Pi into a dedicated monitoring system as outlined in the getting started section.
Includes a Processing-based graphical interface with pre-built executables for Raspberry Pi, Windows, macOS, and Linux, ensuring accessibility across different operating systems.
Hardware schematics are CC-BY-SA licensed and software is MIT licensed, allowing complete customization and adaptation, which aligns with the project's philosophy of transparency.
Windows users must manually install drivers from the provided folder, as the device is recognized as an 'Unknown Device', adding an extra step not required on macOS or Linux.
The GUI requires Java 8, which may be outdated or necessitate additional installation, potentially introducing compatibility issues or performance bottlenecks on some systems.
Advanced setup and troubleshooting rely heavily on external websites and videos, with the README directing users elsewhere for details, which can fragment the learning experience.