Path: Top -> Journal -> Telkomnika -> 2019 -> Vol 17, No 6, Desember 2019
Compression and encryption for ECG biomedical signal in healthcare system
Oleh : Mustafa Emad Hameed, Masrullizam Mat Ibrahim, Nurulfajar Abd Manap, Telkomnika
Dibuat : 2020-01-09, dengan 1 file
Keyword : CBC mode, compression, electrocardiogram, encryption, security
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/issue/view/640
Sumber pengambilan dokumen : web
The ECG data needs large memory storage device due to continuous heart rate logs and vital
parameter storage. Thus, efficient compression schemes are applied to it before sending it to
the telemedicine center for monitoring and analysis. Proper compression mechanisms can not only improve
the storage efficiency but also help in faster porting of data from one device to another due to its compact
size. Also, the collected ECG signals are processed through various filtering techniques to remove
unnecessary noise and then compressed. In our scheme, we propose use of buffer blocks, which is quite
novel in this field. Usage of highly efficient methods for peak detection, noise removal, compression and
encryption enable seamless and secure transmission of ECG signal from sensor to the monitor. This work
further makes use of AES 256 CBC mode, which is barely used in embedded devices, proves to be very
strong and efficient in ciphering of the information. The PRD outcome of proposed work comes as 0.41%
and CR as 0.35%, which is quite better than existing schemes. Experimental results prove the efficiency of
proposed schemes on five distinct signal records from MIT-BIH arrhythmia datasets.
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Organisasi | Telkomnika |
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Negara | Indonesia |
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