Path: Top -> Journal -> Telkomnika -> 2019 -> Vol 17, No 6, Desember 2019

Compression and encryption for ECG biomedical signal in healthcare system

Journal from gdlhub / 2020-01-09 09:45:17
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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PropertiNilai Properti
ID Publishergdlhub
OrganisasiTelkomnika
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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