Designed by ProtoCentral Electronics in India, the HealthyPi 6 is an open-source, portable, research-grade biosignal acquisition device designed for academic research, education, and prototyping. It targets labs, classrooms, and field studies that need professional-quality physiological measurements without bulky desktop systems or proprietary lock-in.
Building on the HealthyPi 5 (2023) and HealthyPi 4 (2019), the HealthyPi 6 is a standalone device with 3-channel/5-lead ECG, dual-wavelength PPG for heart rate and SpO₂, respiration via impedance pneumography, skin temperature sensing, and a 9-axis IMU for motion and artifact detection. Built around the STM32H757 real-time microcontroller and an ESP32-C6 handling Wi-Fi 6 and BLE connectivity, the device features a USB-C port, onboard flash and microSD storage, and 48+ hours of operation on a charge. Modular HealthyLink ports allow for EEG, EMG, GSR, additional analog inputs, triggers, and co-processors expansion. These features make it suitable for cardiovascular and sleep research, rehabilitation studies, wearable prototyping, biosignal education, and real-world physiological monitoring beyond the lab.
HealthyPi 6 specifications:
- MCU – STMicro STM32H757AII6 dual-core MCU with Arm Cortex M7 @ 480MHz, Cortex-M4 @ 240MHz, 2 MB flash, 1MB RAM
- Wireless Module – ESP32-C6 RISC-V module with Wi-Fi 6 (802.11ax), and Bluetooth Low Energy (BLE 5.2) support
- Memory – 32 MB SDRAM
- Storage
- 128 MB system flash
- MicroSD card slot
- Display – 4-inch (800 × 480) capacitive touchscreen
- Sensors
- ECG – 3-channel/5-lead, 24-bit resolution, up to 8 kHz sampling, >110 dB CMRR, medical-grade isolation
- PPG – Dual-wavelength optical sensing for heart rate and SpO₂
- Respiration – Impedance pneumography derived from ECG electrodes
- Temperature – Digital precision skin temperature sensor (±0.1 °C)
- Motion – 9-axis IMU for artifact detection and activity classification
- USB
- USB Type-C port for communication with a computer and programming the STM32H757AII6
- USB Type-C port for programming and debugging the ESP32-C6 module
- Expansion
- HealthyLink modular expansion ports (high-speed SPI, CAN-FD, USART, Qwiic/I²C)
- Supports additional analog inputs, trigger inputs, and co-processors
- Misc
- On-device waveform visualization
- Real-time ECG, HR, SpO₂, respiration, and temperature display
- No PC or smartphone required
- Power supply
- Input/Charging – 5V via USB-C port
- Battery – On-board Li-Ion battery with ~48+ hours of operation (usage dependent)
- Dimensions – ~125 mm × 80 mm × 25 mm
- Weight – ~200 grans
- Enclosure – IP54-rated 3D printed ABS plastic
- Safety – IEC 60601-1 Type BF isolation (research safety)
The module supports modular expansion via HealthyLink, and you can add EEG (2–8 channels), EMG, and GSR modules, along with triggers and synchronized inputs for external equipment. The interface also supports up to eleven additional 16-bit analog inputs and support for co-processor or AI accelerator modules, enabling custom sensing and higher on-device processing without changing the base hardware.



HealthyPi 6 software support is built around an open-source Zephyr RTOS stack, with all firmware, device drivers, and signal-processing libraries to be released publicly on GitHub after the campaign ends. The platform supports real-time filtering, ECG R-peak detection, HRV analysis, artifact detection, and edge ML workflows directly on the device. For offline and live data analysis, HealthyPi Studio will be available for Windows, macOS, and Linux, for real-time visualization, recording, and data export in CSV, EDF+, JSON, and binary formats, along with Lab Streaming Layer (LSL) support for synchronized multi-devices.

The HealthyPi 6 project is now live on Crowd Supply with a $1 funding goal. The kit is priced at $549 with the HealthyPi 6 biosignal acquisition device, a built-in battery, a USB-C cable, a 5-lead ECG cable, a PPG fingertip probe, a skin temperature probe, and a HealthyLink breakout board for expansion (GPIO, SPI, I²C, UART, CAN-FD). The campaign ends on Jan 22, 2026, and shipments are expected to begin in May 2026.
Debashis Das is a technical content writer and embedded engineer with over five years of experience in the industry. With expertise in Embedded C, PCB Design, and SEO optimization, he effectively blends difficult technical topics with clear communication
Support CNX Software! Donate via cryptocurrencies, become a Patron on Patreon, or purchase goods on Amazon or Aliexpress. We also use affiliate links in articles to earn commissions if you make a purchase after clicking on those links.






The MCU used seems like massive overkill for this application. Is there any reason they actually need the H7 with both its M7 and M4 core? To read and log some sensor data and show it on a display it seems unnecessary.
It’s for whatever real time signal processing or ML stuff people need to do. I assume the main use case for the beefy processing would be for EEG stuff, processing 8 EEG channels into their component frequency bands and detecting specific patterns.
A tricorder, nice.