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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Academic Journals
2011
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/25753/1/Power%20line%20enhancement%20for%20data%20monitoring.pdf http://umpir.ump.edu.my/id/eprint/25753/ https://academicjournals.org/journal/SRE/article-abstract/AB4EC0340204 https://doi.org/10.5897/SRE11.1134 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.ump.umpir.25753 |
---|---|
record_format |
eprints |
spelling |
my.ump.umpir.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 |
institution |
Universiti Malaysia Pahang |
building |
UMP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Pahang |
content_source |
UMP Institutional Repository |
url_provider |
http://umpir.ump.edu.my/ |
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/25753/1/Power%20line%20enhancement%20for%20data%20monitoring.pdf http://umpir.ump.edu.my/id/eprint/25753/ https://academicjournals.org/journal/SRE/article-abstract/AB4EC0340204 https://doi.org/10.5897/SRE11.1134 |
_version_ |
1662754722301345792 |
score |
13.211869 |