03625ntm a2200277 a 4500 vtls000091262 KUKTEM 20251117113434.0 150918t2015 my da f abm 000 0 eng d THE0007794(Local) 201906131116 nadia 201603221101 asma 201603221053 asma 201509181640 asma 201509181612 asma UMP TK7872.T74 C77 2015 r Thesis C. Sridhathan Power line enhancement for distance data monitoring of human physiological parameters / Sridhathan C Kuantan, Pahang : UMP, 2015 xx, 135 p. : ill. ; 30 cm.+ 1 CD-ROM Faculty of Electrical and Electronics Engineering Thesis (Doctor of Philosophy in Electronic Engineering) -- Universiti Malaysia Pahang -- 2015 Bibliography : p. 120-133 In 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 Transmission lines Power lines Electric lines 0 0 0 1 20000 20000 2019-09-04 0 TK7872.T74 C77 2015 r Thesis 0000100245 2019-09-04 00:00:00 1 2019-09-04 RESTRICT 0 0 0 1 20000 20000 2019-09-04 0 CD 8882 | TK7872.T74 C77 2015 r Thesis 0000100246 2019-09-04 00:00:00 1 2019-09-04 RESTRICT VIRTUA40 8674 8680 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6500*6501*6502*9992