Research output per year
Research output per year
Project Details
Description
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.
• A silicon chip implementation of the L2SB algorithm.
| Short title | L2SB |
|---|---|
| Acronym | L2SB |
| Status | Finished |
| Effective start/end date | 1/10/13 → 1/05/20 |
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A 65nm CMOS lossless bio-signal compression circuit with 250 femtoJoule performance per bit.
Crispin-Bailey, C., Dai, C. & Austin, J., Oct 2019, In: IEEE Transactions on Biomedical Circuits and Systems. 13, 5, p. 1087-1100 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A 65nm SILICON CHIP IMPLEMENTATION of a Novel Data Compression Circuit and Algorithm
Crispin-Bailey, C. & Dai, C., Apr 2015Research output: Non-textual form › Artefact
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A lossless data reduction technique for wireless EEG recorders and its use in selective data filtering for seizure monitoring
Dai, C. & Crispin-Bailey, C., 25 Aug 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Proceedings of a meeting held 25-29 August 2015, Milan, Italy.. IEEE, p. 6186-6189 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution