MEDICAL DATA COMPRESSION AND TRANSMISSION IN NOISY WLANS: A REVIEW

Published 31 Dec 2019 •  vol 12  •  no 2  • 


Authors:

 

Mustafa Almahdi Algaet, Department of Computer, Faculty of Education, Elmergib University, Alkhums, Libya
Abd Samad Bin Hasan Basari, Department of System and Computer Communication, Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Durian Tunggal Malaysia
Ali Ahmad Milad, Department of Computer, Faculty of Education, Elmergib University, Alkhums, Libya
Salem Msaoud Adrugi, Department of Computer, Faculty of Education, Elmergib University, Alkhums, Libya
Salem Mustafa Aldeep, Department of Computer, Faculty of Education, Elmergib University, Alkhums, Libya

Abstract:

 

Data compression and transmission are becoming increasingly important in the field of computer communication. These techniques are commonly used in medical communities for data exchange in hospital computer networks. Computer-based modeling applications serve as possible approaches in designing easy-to-evaluate medical data communications. This study aims to develop a simulation tool that manages medical data compression and transceiver over noisy Wi-Fi IEEE 802.11b. This paper briefly introduces communication networks and services, wireless communication concepts, transmission technologies, network topologies in hospitals, medical information technologies, and wireless telemedicine systems. This paper also reviews related research, especially studies on data compression algorithms and data transmission standards on Wi-Fi with past, present, and future directions.

Keywords:

 

WI-FI, IEEE 802.11b, Medical Data, Compression and Transceiver, ICA, DCT, SPIHT and JPEG2000

References:

 

[1] Fong, B., A.C.M. Fong, and C.K. Li, Telemedicine technologies: Information technologies in medicine and telehealth. 2011: John Wiley & Sons.
[2] Algaet, M.A., et al., Telemedicine and its application in telemedicine management. 2014, Outskirts Press, Inc.
[3] Algaet, M.A., et al. Provisioning quality of service of wireless telemedicine for e-health services. in Information & Communication Technologies (ICT), 2013 IEEE Conference on. 2013. IEEE.
[4] Algaet, M.A., et al., Provisioning quality of service of wireless telemedicine for e-health services: A review. Wireless Personal Communications, 2014. 78(1): p. 375-406.
[5] Ahamed, S.V., Intelligent networks: recent approaches and applications in medical systems. 2013: Elsevier.
[6] Hamdy, N., Applied Signal Processing: Concepts, Circuits, and Systems. 2008: CRC Press.
[7] Perahia, E. and R. Stacey, Next generation wireless LANs: 802.11 n and 802.11 ac. 2013: Cambridge university press.
[8] Banerji, S. and R.S. Chowdhury, On IEEE 802.11: Wireless LAN Technology. arXiv preprint arXiv:1307.2661, 2013.
[9] Jiang, D. and L. Delgrossi. IEEE 802.11 p: Towards an international standard for wireless access in vehicular environments. in Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE. 2008. IEEE.
[10] Luo, F.-L., Digital Front-End in Wireless Communications and Broadcasting: circuits and signal processing. 2011: Cambridge University Press.
[11] Nijsure, Y., et al. Location-aware spectrum and power allocation in joint cognitive communication-radar networks. in Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2011 Sixth International ICST Conference on. 2011. IEEE.
[12] Chang, F., K. Onohara, and T. Mizuochi, Forward error correction for 100 G transport networks. IEEE Communications Magazine, 2010. 48(3).
[13] Candy, P., Healthcare knowledge management: issues, advances and successes. 2010: Springer Science & Business Media.
[14] Algaet, M.A., et al., Development of Robust Medical Image Transmission via Wi-Fi IEEE 802.11 b in the Hospital Area. Wireless Personal Communications, 2017. 95(2): p. 1617-1634.
[15] Sen, S., et al. Avoiding multipath to revive inbuilding WiFi localization. in Proceeding of the 11th annual international conference on Mobile systems, applications, and services. 2013. ACM.
[16] Jayapandian, C.P., et al. Cloudwave: distributed processing of “Big Data” from electrophysiological recordings for epilepsy clinical research using Hadoop. in AMIA Annual Symposium Proceedings. 2013. American Medical Informatics Association.
[17] Paul, R.P., C.K. Modi, and R.K. Kher, A simple and novel algorithm for medical image compression. International Journal of Biomedical Engineering and Technology, 2012. 10(4): p. 333-350.
[18] Gersho, A. and R.M. Gray, Vector quantization and signal compression. Vol. 159. 2012: Springer Science & Business Media.
[19] Khan, E. and M. Ghanbari. Error detection and correction of transmission errors in SPIHT coded images. in Image Processing. 2002. Proceedings. 2002 International Conference on. 2002. IEEE.
[20] Kumar, G., et al., A Review: DWT-DCT Technique and Arithmetic-Huffman Coding based Image Compression. IJ Engineering and Manufacturing, 2015. 3: p. 20-33.
[21] Puga, A. and A. Alves. An experiment on comparing PCA and ICA in classical transform image coding. in ICA. 1998.
[22] Ferreira, A.J. and M.A. Figueiredo, On the use of independent component analysis for image compression. Signal Processing: Image Communication, 2006. 21(5): p. 378-389.
[23] Peng, C.-C., C.-H. Kao, and S.-P. Hsieh. Fast image compression using over-complete ICAMM. in Control Automation and Systems (ICCAS), 2010 International Conference on. 2010. IEEE.
[24] Mustapha, A., et al., Towards nonuniform illumination face enhancement via adaptive contrast stretching. Multimedia Tools and Applications, 2017. 76(21): p. 21961-21999.
[25] Hadzievski, L., et al., A novel mobile transtelephonic system with synthesized 12-lead ECG. IEEE transactions on information technology in biomedicine, 2004. 8(4): p. 428-438.

Citations:

 

APA:
Algaet, M. A., Basari, A. S. B. H., Milad, A. A., Adrugi, S. M., & Aldeep, S. M. (2019). Medical Data Compression and Transmission in Noisy WLANS: A Review. International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, 12(2), 1-18. doi: 10.33832/ijgdc.2019.12.2.01.

MLA:
Algaet, Mustafa Almahdi, et al. “Medical Data Compression and Transmission in Noisy WLANS: A Review.” International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 12, no. 2, 2019, pp. 1-18. IJGDC, http://article.nadiapub.com/IJGDC/vol12_no2/1.html.

IEEE:
[1] M. A. Algaet, A. S. B. H. Basari, A. A. Milad, S. M. Adrugi, and S. M. Aldeep, "Medical Data Compression and Transmission in Noisy WLANS: A Review." International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 12, no. 2, pp. 1-18, Dec 2019.