Key result
The 65nm CMOS L2SB lossless bio-signal compression circuit achieved exceptionally low power consumption of 250 femtoJoules per bit at 5MSa/sec with a diminutive circuit area of 155 um2.
Why the study?
The study was designed to create the simplest useful compression algorithm that minimizes power and silicon area by trading off compression effort against data storage capacity or transmission power.
The proposed L2SB compression circuit achieves exceptionally low power consumption and small silicon area, making it highly efficient for bio-physiological signal compression in resource-constrained devices.
May enable extended wearable cardiac monitoring; leaves open clinical validation of signal integrity.
A 65 nm CMOS integrated circuit implementation of a bio-physiological signal compression device is presented, reporting exceptionally low power, and extremely low silicon area cost, relative to state-of-the-art. A novel `xor-log2-sub-band' data compression scheme is evaluated, achieving modest compression, but with very low resource cost. With the intent to design the 'simplest useful compression algorithm', the outcome is demonstrated to be very favourable where power must be saved by trading off compression effort against data storage capacity, or data transmission power, even where more complex algorithms can deliver higher compression ratios. A VLSI design and fabricated Integrated Circuit implementation are presented, and estimated performance gains and efficiency measures for various bio-medical use-cases are given. Power costs as low as 1.2 pJ per sample-bit are suggested for a 10 kSa/s data-rate, whilst utilizing a power-gating scenario, and dropping to 250 fJ/bit at continuous conversion data-rates of 5 MSa/sec. This is achieved with a diminutive circuit area of 155 um2. Both power and area appear to be state-of-the-art in terms of compression versus resource cost, and this yields benefit for system optimization.
No takes yet. Share an insight, caveat, or question.
Bailey et al. (2019) studied Bio-physiological signal compression (EEG, ECG, MEG). Log2-Sub-Band (L2SB) Encoding Circuit vs. Huffman Encoding was evaluated on Power consumption per bit and compression ratio. The 65nm CMOS L2SB lossless bio-signal compression circuit achieved exceptionally low power consumption of 250 femtoJoules per bit at 5MSa/sec with a diminutive circuit area of 155 um2.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: