HealthyPi 6 is a powerful, open-source platform for capturing biosignals like ECG, PPG, and respiration with research-grade quality at high speeds. Unlike proprietary systems that lock you into vendor ecosystems, HealthyPi 6 gives you complete control over your data and the freedom to modify, extend, and integrate the platform according to your needs. The open-source design means no licensing fees, no vendor lock-in, and complete transparency in how your data is processed and stored.

HealthyPi 6 takes the proven foundation and principles behind HealthyPi 5 and delivers a massive performance leap. It features dramatically faster signal acquisition, significantly enhanced processing power, and expanded storage capabilities, setting a new standard for open-source biosignal monitoring platforms. Built for healthcare professionals, researchers, and biomedical engineers who value data ownership and system flexibility, HealthyPi 6 scales from single patient monitoring to complex multi-signal research studies.

The Heart of Bio-signal Capture

HealthyPi 6 stands out not just for its clinical-grade signal acquisition but also for its exceptional processing power, flexibility, and the extensibility offered by open-source Zephyr RTOS. This dual-core ARM microcontroller was specifically selected for its Cortex-M7 and Cortex-M4 processors, each running separate Zephyr applications. The deliberate choice of this architecture ensures dedicated real-time signal acquisition on one core, while the second core handles complex algorithms, data processing, and communication tasks concurrently.

It provides developers with a modern, scalable environment to build and deploy complex applications, from real-time data visualization to running on-device machine learning models. This makes HealthyPi 6 ideal for a wide range of high-impact use cases: remote patient tracking in low-resource settings, practical learning tools in academic biomedical labs, rapid health-tech prototyping for startups, AI-driven cardiac monitoring in research labs, and precise biosignal logging for medical AI model development.

Features & Specifications

Microcontroller: STM32H757 with 1x ARM Cortex-M7 @ 480 MHz and 1x ARM M4 @ 240 MHz
Connectivity: USB Type-C (data + power), UART, I2C, SPI, MIPI DSI
Storage: 32 MB SDRAM, up to 128 MB NOR flash, and high-speed microSD card interface
Power/Data Isolation: Onboard, compliant with IEC 60601-1
Firmware: Zephyr RTOS-based, fully open-source
Dimensions: 120 mm x 70 mm x 20 mm (4.7 in x 2.8 in x 0.8 in) (Board only, enclosure dimensions will be confirmed before project launch)

Biosensors

ECG: 5-lead, 4 channel,  24-bit ADC (ADS1294R), with sampling rate up to 32 kSPS
PPG: Integrated analog front-end (AFE4400) with support for simple, finger-based probes for full control over raw signals
Respiration Monitoring: Thoracic impedance based on integrated AFE (ADS1294R)
Temperature Monitoring: Precision digital skin temperature sensor

Open Source

We will publish our source code, schematics, board layouts, and other design files when the campaign goes live.

Interested in This Project?

You can sign up at the top of this page to be notified when the campaign launches and to receive other updates. We only send out relevant content, and you can unsubscribe at any time.