000			03627ntm a2200277 a 4500
001			vtls000094061
003			KUKTEM
005			20251117113436.0
008			160322t2015 my da f abm 000 0 eng d
020			_aTHE0007787(Local)
039		9	_a201906131112 _bnadia _y201603221127 _zshima
040			_aUMP
090			_aFKEE .S65 2015 r Thesis
100	0		_aSridhathan C
245	1	0	_aPower line enhancement for distance data monitoring of human physiological parameters / _cSridhathan C
260			_aKuantan, Pahang : _bUMP, _c2015
300			_axx, 135 p. : _bill. ; _c30 cm.+ _e1 CD-ROM
500			_aFaculty of Electrical and Electronics Engineering
502			_aThesis (Doctor of Philosophy in Electronic Engineering) -- Universiti Malaysia Pahang -- 2015
504			_aBibliography : p. 120-133
520	3		_aIn recent years, utilizing the pre-established power distribution line for communications have become more attractive. The patients who are suffering with the chronic diseases must be monitored continuously to reduce the risk in patient’s life. Industries manufacturing healthcare equipment are incorporating the communication system modules for telemedicine, biotelemetry, tele-surgery and tele-health applications. In this research, Power Line (PL) is proposed as a communication medium for transferring the patient’s physiological parameter. Electrodes or transducers are placed on patient at appropriate locations for acquiring the Heart Rate (HR), Blood Pressure (BP), Temperature, Electrocardiogram (ECG) and Electroencephalogram (EEG). Acquired signals are digitalized and transmitted over the single phase PL cable using Power Line Modem (PLM). In this research, Low Voltage Single Phase (LVSP) power distribution cables were used for transmitting and receiving the medical signals. In a medical practitioner's room, receiver decodes the signals and a Personal Computer (PC) is used for display. The characteristic of power line is simulated as echo channel model using MATLAB software in which the data are transmitted using orthogonal frequency division multiplexing (OFDM) method. Performance of the simulated power line channel (SPLC) is evaluated based on the Bit Error Rate (BER). ECG and EEG signals where interfered by noise and disturbance of power line during transmission. Hence, Finite Impulse Response (FIR) filter with Kaiser Window is designed using MATLAB for noise reduction. R peaks of ECG are detected based on Threshold point and proposed adaptive firefly algorithm. ECG of a patient suffering by Sinoatrial block, arrhythmia and sudden cardiac arrest are taken from physio-bank website and were analyzed using Daubechies multilevel wavelet transform. It was observed from the experimental results that parameters such as heart rate, temperature and BP are received without any errors. ECG and EEG signals were distorted due to the PL noise and disturbances. From the simulation results it was found that, the BER can be reduced by increasing the Inverse Fast Fourier Transform (IFFT) size or by increasing the guard bit interval time. Adaptive firefly technique was found to be effective and efficient when compared with threshold point method. It can be concluded that low voltage power line communication using the existing power cables was found to be cost effective with sufficient speed and accuracy
610	2	0	_aFaculty of Electrical and Electronics Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
999			_aVIRTUA40 _c8713 _d8719
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*9992