No abstract

Recently, there is a huge amount of data accessible in the field of medicine that enables physicians diagnose diseases when analyzed. Data mining technology can be used to obtain knowledge from these medical data in order to make disease prediction accurate and easier. In this study, cardiotocography (CTG) data is analyzed using an integrated Naive Bayesian classifier nbc with firefly algorithm. Firefly algorithm is suggested to find the most relevant subset of features, which maximize the performance accuracy of nbc and minimize the time required for classification process. It was discovered that the nbc was capable of defining the Normal, Suspicious and Pathological state of the type of the CTG data with very good classification accuracy. the proposed method achieved accuracy with (86.547%).

Solar Photovoltaic (PV) power is one of the favourable renewable energy resources in the globe especially in Iraq. The main benefits of solar energy are dependability and availability. The important roles for construction of a PV power plant are decreasing the cost of its components, simplifying the complexity of its controllers and improving its performance to meet the grid standards. In this paper, single stage PV Generators (PVGs) connected with Cascaded H-Bridge Multilevel Inverter (CHB-MLI) are designed and analyzed. Four MLI topologies are demonstrated, which are three, five, seven and nine levels, for improving the efficiency of multilevel inverter, reducing drop voltage and total harmonic distortion (THD) value for the output voltage and current by decreasing the inductance value of L filter in load side. In this paper, Phase Opposition Disposition based on Sinusoidal pulse width modulation (POD-SPWM) technique is used to control the proposed MLI circuits. In this technique, the reference signal is a modulating sine of 50 Hz frequency is compared with a carrier signals of 50 kHz to produce optimal switching combinations that achieve numerous levels of output voltage. Simulation work is done using the MATLAB software. The simulation results confirm that the performance and the cost of nine-level topology is improved compared with the three, five and seven levels topologies.

People severing from heart diseases are increasing day after day, now it's more important to focus on this destructive problem and provide a good health care and remote patient monitoring .An effective monitoring system has been discovered to monitor patients who are implanting a pacemaker and need long-term follow-up. So extensive research has been done to monitor ECG and analyze it by using the free open source website and linking it with portable ECG system that are responsible for the presentation and storage of data to the doctor and patient. In this research we will develop a new method of ECG monitoring for patients who are implanting pacemakers and help them to transfer their ECG signal for long distances depending on the Internet things (IOT). Once the device is worn, it will start collecting ECG information and sent it directly via Wi-Fi to the IOT cloud. Reviewing ECG data through the web has led to the alleviation of the problem of the inability of the doctor to monitor the patient from the home as well as in the event that the doctor is being in another country ,the device also helps to discover the magnetic field that confuses the pacemaker by giving the patient a warning. The results of the test are able to detect that the system would be reliable for displaying real-time ECG data, which could help facilitate patient follow-up after implantation of the pacemaker at home with ease of use and cheaper price.

Daily, the Internet of things is becoming increasingly popular in the field of remote monitoring as well as the increasing number of patients with cardiac pacemakers, especially those who need a pacemaker. In this research, a new method of monitoring ECG has been developed for patients who are implanting pacemakers. the develop system is the ability to transfer of the display screen that exist in the special website (www.thinger.io) by using the Wi-Fi protocol, Also, helping them to transmit their data over long distances and different places in real time depending on Internet objects (IoT). The system helps to transfer the ECG, temperature and the detector of magnetic field across the website to solve the problem of the inability of the doctor to monitor the patient from home continuously, as well as in the case of a doctor in another country. In the end of paper the system will be reliable to display ECG data with 70 beats, temperature with 37.12c and warning in the form of light if a magnetic field comes near the system, which can help facilitate patient follow up after implantation of the pacemaker.