Project Proposal Real-time Patient Data Monitoring System Project Outline A real- time patient monitoring system using sensor network is designed in this project. A system-level behavior description of the sensor networks object orientation system with PtolemyII and Matlab is modeled and simulated according to the methodology of the system- level modeling. Although this project is based on software part, the test results show that this real- time system is sensitive to the power waste and information time synchronous windows of sensor nodes, and validates the correctness and feasibility of the Ptolemy II embedded system-level design methodology to guide sensor networks system design. 

Background and Literature Review 

There has been huge number of hospitals using embedded based real team system to monitor patient health which is giving very effective results [1]. The patient health is continuously monitored by this system and the acquired data is transmitted to a control center from using wireless sensor networks. Therefore, wireless sensors and sensor network play an important role in this project due to it fast speed, miniature and low cost. Wireless sensor networks (WSN) is distributed sensor network, and its terminals are sensors that can detect the environmental change. Due to the sensors in WSN communicate using wireless methods, its networks are more flexible, moreover, it can connect with Internet to achieve a multi-hop AdHoc network [2]. The fast development of WSN benefits from micro-electro-mechanism system, system on chip, wireless communication and embedded technology. Nowadays, WSN is widely used in military, intelligent transportation, environmental monitoring and hospitals, etc. [3]. Actually, several literatures have achieved real- time patient monitoring system using different methods to help patients. For example, Rubina.a.shaikh, et al [4] developed Zigbee remote monitoring system. This system can be used to monitor parameters of patient continuously such as ECG, temp and heartbeat even if patients were far from hospitals. Moje.R.K, et al [5] designed a health monitoring system using Li-Fi technology to help patients who are in serious illness conditions. 

Although Li-Fi technology cost more power than Zigbee, it can update information more quickly and record data through the Internet for reference while consulting with patients. Another type of healthcare solution is provided by authors in paper [6] that combines mobile and IPv6 techniques in wireless sensor networks. In this system consists of low power embedded wearable sensor that collects health parameters and is connected to low power wireless personal area network, to the Machine2machine node for wireless transmission through internet or external IP enabled networks via M2M gateway. It helps in handling large amount of biomedical signals. Two wireless technologies are combined to provide continuous monitoring of the patient while he/she was moving. In this system author in [7] uses GPRS system for remote transfer of data and ZigBee for short range transfer of data. Goals and Project Deliverables The main aim of this system is monitoring data in real time from .

The system can collect physical parameters continuously such as ECG, temperature, heartbeat, EEG, etc. The doctor would set threshold value of each parameters. If the real time data beyond the threshold, an alarm would alert automatically to remind doctors. This system provides a continuous health monitoring service. 

Methods 1. Equipment Because the time and equipment are limited, this project would focused on software part to build a real-time system, which is sensitive to the power waste and validates the correctness and feasibility assuming this system used in practice. Ptolemy II and Matlab are software tools will be used in this project. Ptolemy is developed by US Berkeley University. It provides a platform to study real time system modeling, simulating, and designing concurrent embedded systems. The basic design principle is divided heterogeneous system into mutli-level components and in the same level, the components is controlled by control center model. Moreover, each control center not only control its own data, but also communicate with other level components. Matlab development platform is easy to model the real time system and show the data effectively and clearly. The doctor can monitor real time data from Matlab platform to analyze more details of patients’ situation. 

2. Basic Design This system is divided into the objective module, the sensor module and real time system module to build and simulate. The objective module read medical data from like EEG, heartbeat, temperature, ECG, etc. The sensor module can convert medical data to electrical data and transmit these to real time system module. Real time system module can receive signal from sensor module and show its changing gradients to doctors. Ptolemy can be used to design a low cost and real time embedded system of objective module and sensor module. Matlab is mainly use in real time system module. Step 1: Start the program Step 2: Enter the mode of operation. 

Step 3: Evaluate mode of operation with switch case. 

Step 4: Data collected and monitored.

 Step 5: Data converted to signal. 

Step 6: Signal transmitted. 

Step 7: Data base saved successfully. 

Step 8: Intimation to Doctor. 

Project Time-line The three milestones are planned same as the three sections in this project: objective module, sensor module and real time system module. The project process will be stick to the schedule which will be shown. The Gantt chart is shown the time line of this project. References [1] Embedded Systems Dell OEM Solutions | Dell. (2011-01-04). Retrieved on 2013-02-06. [2] A Survey on Centralised and Distributed Clustering Routing Algorithms for WSNs (PDF). IEEE 81st Vehicular Technology Conference. Glasgow, Scotland: IEEE. Spring 2015. [3] I. F. Akyildiz and I.H. Kasimoglu "Wireless Sensor and Actor Networks: Research Challenges", 2004 [4] b. sirisha, t.sraddha, k. vijayanand “Real-time multi-patient monitoring system using arm and wireless sensor network” International Journal of Communication Network Security, ISSN: 2231 – 1882, Volume-2, Issue-2, 2013 [5] R.K. Moje, Pawan More, Saurabh Soradge and Rahul Kakade “Design and Implementation of Real Time Embedded Health Monitoring System using Li-Fi technology” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering Vol. 4, Issue 4, April 2016 [6] Sang-Joong Jung, RistoMyllyl√§, and Wan-Young Chung” A Wireless Machine-to-Machine Healthcare Solution using Android Mobile Devices in Global Networks”. IEEE,2011. [7] Choonghee Lee, Chiyul Yoon, Hyoun-joongKon, HeeChanKim, and Youngwook Kim” Heart Rate Tracking Using a Doppler Radar With the Reassigned Joint Time-Frequency Transform” IEEE antennas and wireless propagation letters, vol. 10, 2011

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