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Modular hardware platform based on the RISC-V X-HEEP family architecture developed at ESL, targeting ultra-low-power consumption and miniaturization, facilitating the creation of wearable devices for clinical trials

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X-MODs: Modular PCBs for Wearable Healthcare Devices

A collection of compact, power-efficient PCB modules designed for rapid prototyping and development of wearable healthcare devices, with a focus on biosignal acquisition.

X-MODs Overview

Overview

X-MODs provides a modular hardware approach that bridges the gap between fully custom designs and off-the-shelf solutions. The system consists of four specialized modules and their corresponding debug boards, enabling quick prototyping while maintaining the small form factor required for wearable applications.

Modules

CHEEP Module

  • Built around the HEEPocrates RISC-V SoC
  • Multiple communication interfaces (UART, I2C, SPI)

Power Module

  • High-efficiency PMIC
  • 5 independent voltage rails
  • LiPo battery charging capability
  • Integrated coulomb counter for accurate battery monitoring

ADC Module

  • 16-bit precision
  • 4 multiplexed input channels
  • 1 MSPS sampling rate
  • Optimized for biosignal acquisition

Memory Module

  • Dual NOR flash configuration
  • Expandable storage capacity
  • Pin-compatible with various memory sizes
  • Designed for autonomous data acquisition

Socket Boards

Each module comes with a companion scoket board featuring:

  • Spring-loaded pogo pins for solderless connections
  • Easy module swapping capabilities
  • Breadboard-compatible format
  • Testing and validation infrastructure

Applications

These modules are particularly suited for:

  • EEG signal acquisition
  • Wearable medical devices
  • Clinical trial prototypes
  • Academic research projects
  • Low-power embedded systems

Contact

Please contact the authors for additional information

Developed at the Embedded Systems Laboratory (ESL), EPFL.

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Modular hardware platform based on the RISC-V X-HEEP family architecture developed at ESL, targeting ultra-low-power consumption and miniaturization, facilitating the creation of wearable devices for clinical trials

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