Extreme Low Power Biosignal Data Compression

Project: Research project (funded)Research

Project Details


Ultra-low gate-count and low-power data compression algorithms were investigated, focussing on biosignals such as EEG, ECG, EMG, and related signal types, the goal was to develop low power circuits that occupy minimal chip area in digital systems.

Layman's description

Data compression algorithms were investigated, and ultimately fabricated as a silicon chip. These designs use extremely small amounts of chip area and power to achieve compression of signals from sensors for EEG, ECG, and other medical signals.

Key findings

• A highly efficient data compression algorithm (in terms of chip area and power)
• A silicon chip implementation of the L2SB algorithm.
Short titleL2SB
Effective start/end date1/10/131/05/20