In fiber optics the Four Wave Mixing (FWM) has the harmful effect of an optical transmission system that can severely limit Wavelength Division Multiplexing (WDM) and reduce the transmission aptness. This work preset the durability of the different modulation format was tested to FWM by using Dispersion Shifted Fiber (DSF). Moreover, the performance of the proposed system is surveyed by changing the fiber length and applying an information rate of 200 Gb/s. The experimental results show that the FWM capacity has decreased significantly by more than 14 dB when applying Return to Zero (RZ) modulation form. In addition, in terms of the propsed system performance in the first channel and with 700 km distance, it was observed that the lower Bit Error Rate (BER) in the normal RZ modulation is equal to 1.3×10 -13 . As well as it is noticeable when applied the Non Return to Zero (NRZ), the Modified Duobinary Return to Zero (MDRZ) and Gaussian modulation, the system performance will be quickly changed and getting worse, where the BERs increased to 1.3×10 -4 , 1.3×10 -6 and 1.3×10 -2 consecutively at same channel and for the same parameters. . His main interest is medical signal processing, Microcontroller systems, Biomedical sensors and control system analysis. Mr. Murad ObaidAbed earned his MSc. in the field of Electrical Engineering from university of technology, Iraq, 2002. He has more than five years of experience in teaching. He completed his BSc in Electrical Engineering, University of Technology, Baghdad, Iraq, 1983. His research interests include communication, wavelet transform, electronic system design and Quantum communication.

The last few years witnessed an increased interest in utilizing field programmable gate array (FPGA) for a variety of applications. This utilizing derived mostly by the advances in the FPGA flexible resource configuration, increased speed, relatively low cost and low energy consumption. The introduction of FPGA in medicine and health care field aim generally to replace costly and usually bigger medical monitoring and diagnostic equipment with much smaller and possibly portable systems based on FPGA that make use of the design flexibility of FPGA. Many recent researches focus on FPGA systems to deal with the well-known yet very important electrocardiogram (ECG) signal aspects to provide acceleration and improvement in the performance as well as finding and proposing new ideas for such implementations. The recent directions in ECG-FPGA are introduced in this paper.

Diabetic retinopathy grading is an important issue after detecting lesions of retina to estimate their risk and to take a suitable decision for treatment. Here, the grading of diabetic retinopathy is examined by consistent medical approaches to build a computer model for grading in automated way, which improve the efficiency of diabetic screening services. After the grading of diabetic retinopathy, Error Backpropagation Neural Network Learning Rule is used to give suggestions to a doctor for suitable treatment for the patient. Here, sixteen different cases are trained, and it takes about 8.368 seconds with 20820 iterations. The Neural network diagnosis four-treatment cases and they are urgent, moderate, mild and normal. It is also found from the results that Neural Network is very fast algorithm to give these decisions. In addition, the program that is used for carrying out processes is MATLAB Program version 2015, the computer is HP core i7.