Power Line Based Biotelemetry System for Human Health Monitoring

Chronic patients have to been monitored continuously for reducing the risk in patient’s life. Recent years, healthcare equipments uses the communication modules for Tele monitoring applications. Preestablished power distribution system has drawn the attention of many researchers for communication ap...

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Main Authors: Sridhathan, C., N., Vigneswaran, Fahmi, Samsuri
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8601/
http://umpir.ump.edu.my/id/eprint/8601/
http://umpir.ump.edu.my/id/eprint/8601/1/Power_Line_Based_Biotelemetry_System_for_Human_Health__Monitoring.pdf
id ump-8601
recordtype eprints
spelling ump-86012018-05-18T06:06:33Z http://umpir.ump.edu.my/id/eprint/8601/ Power Line Based Biotelemetry System for Human Health Monitoring Sridhathan, C. N., Vigneswaran Fahmi, Samsuri TK Electrical engineering. Electronics Nuclear engineering Chronic patients have to been monitored continuously for reducing the risk in patient’s life. Recent years, healthcare equipments uses the communication modules for Tele monitoring applications. Preestablished power distribution system has drawn the attention of many researchers for communication applications. In this paper, we present the application of Power Line (PL) as a communication channel for transferring the biosignals. Transducers are placed at the appropriate locations for acquiring the biosignals, which are transmitted and received using the low voltage single phase power lines. Personal Computer (PC) interfaced with the receiver unit will be displaying the decoded signals. In MATLAB, orthogonal frequency division multiplexing (OFDM) is used for transmitting the data over the simulated power line channel (SPLC) and its performance is evaluated based on Bit Error Rate (BER). From the experimental results, it was observed that EEG and ECG signals were deformed due to the PL noise and disturbances. From the simulation results, the BER can be reduced by increasing the Fast Fourier Transform (FFT) size and by varying guard time size. It can be concluded that, power lines will be an cost effective way for communication with considerable speed and accuracy. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8601/1/Power_Line_Based_Biotelemetry_System_for_Human_Health__Monitoring.pdf Sridhathan, C. and N., Vigneswaran and Fahmi, Samsuri (2015) Power Line Based Biotelemetry System for Human Health Monitoring. In: The 2nd International Conference on Geological and Civil Engineering (ICGCE 2015), 10-11 January 2015 , Dubai, UAE. pp. 67-71., 80. ISSN 2010-4618 http://www.ipcbee.com/vol80/014-ICGCE2015-L4008.pdf
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
Sridhathan, C.
N., Vigneswaran
Fahmi, Samsuri
Power Line Based Biotelemetry System for Human Health Monitoring
description Chronic patients have to been monitored continuously for reducing the risk in patient’s life. Recent years, healthcare equipments uses the communication modules for Tele monitoring applications. Preestablished power distribution system has drawn the attention of many researchers for communication applications. In this paper, we present the application of Power Line (PL) as a communication channel for transferring the biosignals. Transducers are placed at the appropriate locations for acquiring the biosignals, which are transmitted and received using the low voltage single phase power lines. Personal Computer (PC) interfaced with the receiver unit will be displaying the decoded signals. In MATLAB, orthogonal frequency division multiplexing (OFDM) is used for transmitting the data over the simulated power line channel (SPLC) and its performance is evaluated based on Bit Error Rate (BER). From the experimental results, it was observed that EEG and ECG signals were deformed due to the PL noise and disturbances. From the simulation results, the BER can be reduced by increasing the Fast Fourier Transform (FFT) size and by varying guard time size. It can be concluded that, power lines will be an cost effective way for communication with considerable speed and accuracy.
format Conference or Workshop Item
author Sridhathan, C.
N., Vigneswaran
Fahmi, Samsuri
author_facet Sridhathan, C.
N., Vigneswaran
Fahmi, Samsuri
author_sort Sridhathan, C.
title Power Line Based Biotelemetry System for Human Health Monitoring
title_short Power Line Based Biotelemetry System for Human Health Monitoring
title_full Power Line Based Biotelemetry System for Human Health Monitoring
title_fullStr Power Line Based Biotelemetry System for Human Health Monitoring
title_full_unstemmed Power Line Based Biotelemetry System for Human Health Monitoring
title_sort power line based biotelemetry system for human health monitoring
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/8601/
http://umpir.ump.edu.my/id/eprint/8601/
http://umpir.ump.edu.my/id/eprint/8601/1/Power_Line_Based_Biotelemetry_System_for_Human_Health__Monitoring.pdf
first_indexed 2023-09-18T22:06:21Z
last_indexed 2023-09-18T22:06:21Z
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