Compression algorithms for biomedical signals and nanopore sequencing data
The massive generation of biological digital information creates various computing challenges such as its storage and transmission. For example, biomedical signals, such as electroencephalograms (EEG), are recorded by multiple sensors over long periods of time, resulting in large volumes of data. An...
Saved in:
| Main Author: | |
|---|---|
| Format: | doctoralThesis |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/20.500.12008/33017 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Compression algorithms for biomedical signals and nanopore sequencing data
- Coding of multichannel signals with irregular sampling rates and data gaps
- Nanopore quality score resolution can be reduced with little effect on downstream analysis
- Compressive Sensing for Inverse Scattering
- Influence of the improvement of 0.2%, 0.3% and 0.4% of polyethylene terephthalate on the strength and permeability properties of concrete pavement
- Influence of concrete curing on concrete compressive strength: an experimental study
- Anconeus epitrochlearis muscle resulting in cubital nerve compressive neuropathy: Two case reports