Hybrid Models for the Lossless Compression of Biomedical Signals


Ramakrishnan, Kannan and Vengadasalam, Vijayakumar (2022) Hybrid Models for the Lossless Compression of Biomedical Signals. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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In a mobile-based and home tele-health care monitoring applications, continuous recording of biomedical signals is needed for some patients in order to monitor the vital signs. ▪ Large volume of recorded information that has to be stored and transmitted. ▪ Compression of the signals is essential because of limited storage in mobile-based devices and limited bandwidth available for transmission. ▪ Compression is essential to satisfy the long-term storage requirement of large biomedical databases in major hospitals and also for tele- medicine applications. ▪ Encryption algorithm is significant to ensure privacy preservation during the transmission and storage.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Algorithm, Signals, Hybrid
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 20 Dec 2022 04:05
Last Modified: 20 Dec 2022 04:06
URII: http://shdl.mmu.edu.my/id/eprint/10953


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