Osaka Researchers Develop Ultra-Low Power EEG Measurement System

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.

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