Osaka Researchers Develop Ultra-Low Power EEG Measurement System

May 26, 2025

University of Osaka develops a high-precision, ultra-energy-efficient EEG system based on waveform similarity and compressed sensing.

Key Details

  • New EEG measurement system achieves 72μW total power consumption.
  • The approach leverages waveform similarity and compressed sensing instead of black-box generative AI.
  • System built using commercially available microcontrollers (nRF52840).
  • Demonstrated normalized mean squared error (NMSE) of 0.116 across 500 measurements.
  • Targets wearable, long-term monitoring, and self-powered IoT healthcare devices.

Why It Matters

This breakthrough could enable long-duration, battery-efficient or even battery-free bio-signal monitoring in clinical and ambulatory settings. It directly addresses key limitations in wearable brain/computer interfaces, benefiting neuroimaging, patient monitoring, and AI diagnostic device development.

Read more

Ready to Sharpen Your Edge?

Join hundreds of your peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.

We respect your privacy. Unsubscribe at any time.