Data Compression mechanisms in an intelligent E-Health gateway for medical monitoring applications

A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks

“…Many research works are published on data compression and data security. Hanoune and Lysmos [18] cite a compression technique for an E-health gateway for monitoring applications related to the medical sector to improve data processing and collection. Their goal is to compress data volume and transfer it to the distant node for storing, but their system lacks to send data in compressed format from the server to the end-users.…”

“… Authors [Ref.] Focus area Advantages Drawbacks Hanoune and Lysmos [18] Monitoring E-health applications to improve data processing and to compress data volume to store. To enhance the collection of data.…”

“…Different research works have been done on patient data for reducing their size using LZW [9] , LZMA with LZ77 [10] , [11] , Deflate/Huffman coding [12] , [13] , [14] , [15] , [16] , Run-length encoding (RLE) [17] , LZ4 [18] , [19] , LZO [18] , [19] , and BZ2 [11] , [18] . Although these existing techniques are being used for compressing patent data, they do not provide better performance due to having fewer identical samples or multiple occurrences of repetitive substrings in data [15] , [20] .…”