Power line enhancement for data monitoring of neural electrical activity in the human body

Distance and real-time data monitoring are the necessary condition that makes any system in good working order. Recent advancements in micro-electronics and wireless technology enable the application of wireless sensors in both industry and wild environments. However, Long-distance wireless communic...

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Main Authors: Haidar, Ahmed M. A., C., Sridhathan, Hazza, Abdulsalam, Saleh, Ahmed
Format: Article
Language:English
Published: Academic Journals 2011
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/25753/
http://umpir.ump.edu.my/id/eprint/25753/
http://umpir.ump.edu.my/id/eprint/25753/
http://umpir.ump.edu.my/id/eprint/25753/1/Power%20line%20enhancement%20for%20data%20monitoring.pdf
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recordtype eprints
spelling ump-257532020-02-24T02:48:19Z http://umpir.ump.edu.my/id/eprint/25753/ Power line enhancement for data monitoring of neural electrical activity in the human body Haidar, Ahmed M. A. C., Sridhathan Hazza, Abdulsalam Saleh, Ahmed TK Electrical engineering. Electronics Nuclear engineering Distance and real-time data monitoring are the necessary condition that makes any system in good working order. Recent advancements in micro-electronics and wireless technology enable the application of wireless sensors in both industry and wild environments. However, Long-distance wireless communication has several drawbacks like limited bandwidth, considerable costs and unstable connection quality. Therefore, Power Line Communication (PLC) using pre-established Power Lines (PL) becomes more attractive for high data transmission technology. This paper reviews the existing distance data monitoring systems and presents a case study for data transferring of temperature and heart beat measurement. The simulations were carried out on the detected and transmitted signals of medical data using Matlab program. Furthermore, a framework of Intelligent Neural Monitoring System (INMS) is proposed for future works. The performance of PLC as a channel to transfer the patient Heart Rate (HR) is evaluated based on the Bit Error Rate (BER). Academic Journals 2011 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/25753/1/Power%20line%20enhancement%20for%20data%20monitoring.pdf Haidar, Ahmed M. A. and C., Sridhathan and Hazza, Abdulsalam and Saleh, Ahmed (2011) Power line enhancement for data monitoring of neural electrical activity in the human body. Scientific Research and Essays, 6 (25). pp. 5411-5426. ISSN 1992-2248 https://academicjournals.org/journal/SRE/article-abstract/AB4EC0340204 https://doi.org/10.5897/SRE11.1134
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Haidar, Ahmed M. A.
C., Sridhathan
Hazza, Abdulsalam
Saleh, Ahmed
Power line enhancement for data monitoring of neural electrical activity in the human body
description Distance and real-time data monitoring are the necessary condition that makes any system in good working order. Recent advancements in micro-electronics and wireless technology enable the application of wireless sensors in both industry and wild environments. However, Long-distance wireless communication has several drawbacks like limited bandwidth, considerable costs and unstable connection quality. Therefore, Power Line Communication (PLC) using pre-established Power Lines (PL) becomes more attractive for high data transmission technology. This paper reviews the existing distance data monitoring systems and presents a case study for data transferring of temperature and heart beat measurement. The simulations were carried out on the detected and transmitted signals of medical data using Matlab program. Furthermore, a framework of Intelligent Neural Monitoring System (INMS) is proposed for future works. The performance of PLC as a channel to transfer the patient Heart Rate (HR) is evaluated based on the Bit Error Rate (BER).
format Article
author Haidar, Ahmed M. A.
C., Sridhathan
Hazza, Abdulsalam
Saleh, Ahmed
author_facet Haidar, Ahmed M. A.
C., Sridhathan
Hazza, Abdulsalam
Saleh, Ahmed
author_sort Haidar, Ahmed M. A.
title Power line enhancement for data monitoring of neural electrical activity in the human body
title_short Power line enhancement for data monitoring of neural electrical activity in the human body
title_full Power line enhancement for data monitoring of neural electrical activity in the human body
title_fullStr Power line enhancement for data monitoring of neural electrical activity in the human body
title_full_unstemmed Power line enhancement for data monitoring of neural electrical activity in the human body
title_sort power line enhancement for data monitoring of neural electrical activity in the human body
publisher Academic Journals
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/25753/
http://umpir.ump.edu.my/id/eprint/25753/
http://umpir.ump.edu.my/id/eprint/25753/
http://umpir.ump.edu.my/id/eprint/25753/1/Power%20line%20enhancement%20for%20data%20monitoring.pdf
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last_indexed 2023-09-18T22:39:44Z
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