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...

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Auteur principal:	Dufort y Álvarez Zorrilla de San Martín, Guillermo (author)
Format:	doctoralThesis
Langue:	anglais
Publié:	2021
Sujets:	Compresión de datos sin pérdida Señales multi-canal Electroencefalogramas Secuenciación de ADN Secuenciación por nanoporos Compresión efi ciente Lossless data compression Multi-channel signals Electroencephalograms DNA sequencing Nanopore sequencing Efficient compression
Accès en ligne:	https://hdl.handle.net/20.500.12008/33017
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