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SVD and ASCII Character Encoding-Based Compression of Multiple Biosignals for Remote Healthcare Systems.
- Source :
- IEEE Transactions on Biomedical Circuits & Systems; Feb2018, Vol. 12 Issue 1, p137-150, 14p
- Publication Year :
- 2018
-
Abstract
- Advancements in electronics and miniaturized device fabrication technologies have enabled simultaneous acquisition of multiple biosignals (MBioSigs), but the area of compression of MBioSigs remains unexplored to date. This paper presents a robust singular value decomposition (SVD) and American standard code for information interchange (ASCII) character encoding-based algorithm for compression of MBioSigs for the first time to the best of our knowledge. At the preprocessing stage, MBioSigs are denoised, down sampled and then transformed to a two-dimensional (2-D) data array. SVD of the 2-D array is carried out and the dimensionality of the singular values is reduced. The resulting matrix is then compressed by a lossless ASCII character encoding-based technique. The proposed compression algorithm can be used in a variety of modes such as lossless, with or without using the down sampling operation. The compressed file is then uploaded to a <bold>h</bold>ypertext <bold>p</bold>re<bold>p</bold>rocessor (PHP)-based website for remote monitoring application. Evaluation results show that the proposed algorithm provides a good compression performance; in particular, the mean opinion score of the reconstructed signal falls under the category “very good” as per the gold standard subjective measure. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 19324545
- Volume :
- 12
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Biomedical Circuits & Systems
- Publication Type :
- Academic Journal
- Accession number :
- 127632899
- Full Text :
- https://doi.org/10.1109/TBCAS.2017.2760298