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...
| Main Authors: | , , , |
|---|---|
| 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/25753/1/Power%20line%20enhancement%20for%20data%20monitoring.pdf |
| _version_ | 1848822360521572352 |
|---|---|
| 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. |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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). |
| first_indexed | 2025-11-15T02:40:00Z |
| format | Article |
| id | ump-25753 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:40:00Z |
| publishDate | 2011 |
| publisher | Academic Journals |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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. (Published) https://academicjournals.org/journal/SRE/article-abstract/AB4EC0340204 https://doi.org/10.5897/SRE11.1134 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |