Bucharest, Romania, 2 Department of Computer Science, Cihan University. Erbil,

Transcription

1 ECAI International Conference 8th Edition Electronics, Computers and Artificial Intelligence 30 June -02 July, 2016, Ploiesti, ROMÂNIA Patient Monitoring System Based on e-health Sensors and Web Services Rasha Talal Hameed 1,Omar Abdulwahabe Mohamad 1,Omar Talal Hamid 2, Nicolae Ţăpuş 1 1 Faculty of Automatic Control and Computers, University POLITEHNICA of Bucharest Bucharest, Romania, engit2020@gmail.com 2 Department of Computer Science, Cihan University Erbil, Iraq,engawm2020@yahoo.com Abstract A lot of research has been carried out in the field of healthcare monitoring. In recent years, development of patient monitoring system has been emerged as an area of research. In this article, a patient monitoring system is proposed. The proposed framework integrated web services with multiple sensors controlled by Arduino Uno. Therefore, the Service Oriented Architecture (SOA) with Rich Internet Application (RIA) was used in this system. In particular, this system was applied on the four types of sensors necessary to monitor the patient such as electrocardiogram (ECG), body temperature, pulse rate and oxygen in blood (SPO2). Finally, the system outputs improves a high quality services, real time data collecting, eliminating manual data gathering and enabling the monitoring of huge numbers of patients. Keywords-Patient Monitoring;E-Health;Web Services; Sensors; I. INTRODUCTION Enhancing the grade of health service kind is a major and stable requirement in health community. The senior interest emerges in computational strategies and apparatuses ready to give help to healthcare human services benefits all the more effectively, prompted the improvement and execution of clever frameworks inside the medical field. In this situation, patient or client monitoring frameworks have become significantly to address a few necessities in early determination, ideal treatment methodologies and malady anticipation, and examination, administration and correspondence of medicinal data [1, 2]. Vital signal checking framework indicates to the utilization of telecommunication innovation with information technology for determination, treatment, and patient consideration. It includes the utilization of innovation as a medium for the medicinal administrations to locales that are at a separation from the supplier [3] [4]. The vital signals of any patients are extremely basic and key to be checked. Any progressions that may happen may influence the patient's health. Patient s vital signals and passionate parameters are chiefly Heart Rate (HR), Body Temperature (T), Oxygen Saturation (SPO2) and Electrocardiography (ECG) [5]. These parameters are basic to be reported for a few patients that are presented to a few sicknesses. As the adjustment in every of these parameters may influence patient's health adversely, the framework permits the specialist (Supervisor) to view and spare these parameters whenever over Internet on a database [6]. For rural society and elderly people it is impractical to come each time to the healing facility to get medicament as indicated to up and down in their signal. Notwithstanding for individual who can't be stay longer in doctor's facility can get profits by this framework. Thus, the proposed system which patient can observe their signal at house or anyplace without stays at the healing facility or being under observation. Web services give a standard method for interoperating between various programming applications running on an assortment of stages and/or structures [7]. Web services are applications that uncover their business rationale, information and procedures through automatic interface. We have been utilizing distinctive strategies as a part of the configuration of the proposed framework site as it will be clarified in this research. In this paper, we concentrate on the concept of real-time monitoring patient utilizing different sorts of the sensors and web serving. The proposed framework utilized Arduino Uno board bolstered e-health stage based diverse sensors that gathered information from the patients. This information prepared and showed in the medicinal site. The framework is aimed to inhibit delays in the access of patient s medical data to the medicinal services suppliers, especially in emergency or accident case. The remainder of the paper is organized as follows: after introduction at section I, we talk about the related work in Section II. Section III shows the proposed system design. At that point Section IV demonstrates the implementation of the proposed system. Finally, section V shows the conclusions of the paper. II. RELATED WORK Recent research demonstrated various techniques that work with the patient health monitoring system. Moreover, different healthcare ventures with the goal of giving more help to the patient. The related works are as per the following: Reddy and Damodhar [8] utilized multi sensors to decide temperature, heart rate and blood pressure from human body and ZigBee has been utilized as a remote system as a part of request to send signs to the PC by means of the RS-232 serial port interface.

2 2 Rasha Talal Hameed, Omar Abdulwahabe Mohamad, Omar Talal Hamid and Nicolae Ţăpuş Rolim, et al. [9] concentrated on building up patients' information gathering strategy. This work presents a novel system to take care of the issues of taking notes physically which is a moderate procedure. Furthermore, they cause delay for getting to ongoing information and that limits the capacity of clinical checking and diagnostics. Yuce, M. R. [10] suggested system utilizes medicinal groups to acquire physiological information from sensor hubs. The author has picked medical bands to lessen the impedance between the sensor node and other existing network devices. To expand the working reach multi-hopping method has been utilized and a medical gateway wireless board has been utilized as a part of this respect. This gateway has been utilized to associate the sensor hubs to a local area network or the Internet. R. Palaniappan [11] clarifies the outline of a nonstop observing system measuring the ECG signal with RF (Bluetooth) transmission. Likewise, the cellular telephone application is acknowledged for the sign transmission. M. Espinoza et al. [12] execute a remote sensor system based home administer to catching up the heart rate of the old patients. The system cautions the related individuals if there should be an occurrence of risky falls in heart rate. Ghorbani et al. [13] suggest the Personal Health Service Framework (PHSF), an open design for creating developing in healthcare applications and monitoring systems. III. PROPOSED SYSTEM DESIGN The architecture of the proposed monitoring system demonstrated in figure1. This figure shows the combination between medical sensors which are in charge of gathering therapeutic information and the web site environment to give a continuous monitoring framework. temperature, galvanic skin reaction can be measured utilizing e-health sensor shield and connected sensors. This paper utilized four sorts of sensors which are pulse rate sensor, oxygen in blood sensor (SPO2), Electrocardiography sensor (ECG), and body temperature sensor. Front Side Back Side Figure 2. E-health sensor shield The important points here, this shield is appropriate with various embedded systems for example Arduino, RasberryPi and BeagleBone Black. The e-health shield can be powered by the personal computer or by an external power supply. A portion of the USB ports on PCs are not ready to allow all the current the board requirements to work, if the board have issues when it work, we can utilize an outside force supply (12V - 2A) on the embedded system. 2) Arduino Uno Board Our proposed system utilized Arduino Uno version R3 as a control unit that incorporated with e-health shield. The Arduino Uno as appeared in figure 3 is a microcontroller board based on the ATmega328. It has 14 digital input/output pins (of which 6 can be utilized as PWM outputs), 6 analog inputs, a 16 MHz crystal oscillator, a USB association, a force jack, an ICSP header, and a reset button [15]. It includes everything expected to bolster the microcontroller; basically interface it to a PC with a USB link or power it with an AC-to-DC connector or battery. The Arduino empowers electronic procedure in multidisciplinary projects to be more open. The Arduino connectors permit to CPU board to be associated a wide assortment of tradable extra modules known as shields [15]. Figure 1. Architecture of the proposed monitoring system The proposed system comprises of two principle parts hardware and software. The hardware part consists of the e-health sensor shield, Arduino Uno board and distinctive sorts of sensors. The clarification of each component as follow: A. Hardware Part 1) E-health sensor platform In our work, we utilized a new version of the e- health sensors platform has been designed by Cooking Hacks Company [14]. The medical information, for example, ECG, EMG, airflow, glucose, blood pressure, body position, pulse and oxygen, body Front Side Back Side Figure 3. Arduino Uno version R3 board The Arduino Uno has various facilities for communicating with a computer, another Arduino, or different microcontrollers. The ATmega328 gives UART TTL (5V) serial connection which is accessible on digital pins 0 and 1 of the board. There are numerous determinations of the Arduino Uno, for example, flash memory 32 KB of which 0.5 KB utilized by boot loader, clock speed 16 MHZ, length 68.6 mm width 53.4 and weight 25g.

3 Patient Monitoring System Based on e-health Sensors and Web Services 3 3) Electrocardiogram sensor (ECG) ECG is a standard approach to gauge heartbeat and yet it is the superior and broadly utilized methodology. It registers electrical movement of heartbeat and displays it in a continuous time interval caught by appended electrodes in the skin. The three standard appendage leads are utilized to get the ECG sign [16]. The electricity sign that an electrode discovers is transmitted through this wire to the PC, which interprets the electricity into wavy lines. The ECG records, in a senior detail, are utilized to analyze an exceptionally expansive scope of heart conditions. The ECG electrode is typically made out of a little metal plate encompassed by an adhesive pad, which is covered with a leading gel that transmits the electrical sign [17]. Figure 4 demonstrates the ECG sensor which is utilized as a part of this project. this sensor are an electronic processor and a couple of light discharging diodes (LEDs) and a photodiode. For our situation we utilized Pulse Oximeter model CMS 50DL as appeared in figure 6. It has a few specifications, for example, battery voltage DC 2.6V to 3.6V, working current 25mA and safety class type BF. A photo detector gets light which was not consumed by the body part. Absorption of light is various for low and high convergences of blood with oxygen [20]. Figure 6. Pulse and Oxygen in blood sensor (SPO2) Figure 4. ECG sensor 4) Body Temperature Sensor There are numerous sorts of temperature sensors accessible in the business sector. At the point when measuring the body temperature, the temperature sensor is really measuring a voltage and it appears to the relationship amongst voltage and temperature [18]. Figure 5 demonstrates the body temperature sensor that utilized in our work. Body temperature relies on the spot in the body at which the estimation is made, and the period of day and level of action of the individual. Diverse parts of the body have various temperatures. The body temperature can be studied by placing sensor in contact with body. A person's ordinary body temperature can go from 36.5 C to 37.5 C or somewhat higher. Variation in body temperature can be an immediate impact of anxiety, drying out, activity, the encompassing environment and/or thyroid issue [19]. Figure 5. Body temperature sensor 5) Pulse and Oxygen in Blood Sensor (SPO2) Pulse oximetry is utilized for observation of oxygen saturation in blood. It is a non-obtrusive strategy in view of measuring wavelengths of light waves transmits through thinner body part for instance a fingertip or ear cartilage. The fundamental parts of B. Software part In order to program these sensors we used different types of software applications they are as follows: 1) Integrated Development Environment (IDE) The Integrated Development Environment (IDE) was utilized to program the Arduino Uno. The Arduino IDE version gathers sensor information, and shows the sensed values on PC. IDE stage application written in Java and it is likewise equipped for arranging and transferring projects to the board with a single click. The Arduino IDE accompanies a product library called "Wiring" from the first Wiring venture, which makes numerous basic Input/Output operations much simpler. Clients just need characterize two functions to make a cyclic executive project [19]: Setup (): a function run once toward the begin of a project that can initialize settings. Loop (): a function called repeatedly until the board powers off. 2) FileZilla FileZilla Client is a quick and reliable crossplatform FTP, FTPS and SFTP customer with heaps of valuable elements and an instinctive graphical client interface [21]. Among others, the features of FileZilla incorporate the following: simple to utilize, underpins resume and exchange of expansive documents, Drag and drop bolster, system setup wizard and remote record altering. FileZilla Client application is an open source free File Transfer Protocol (FTP) was utilized as a part of this project to upload all the vital records to the site. 3) XCTU XCTU is a free multi-stage application intended to empower developers to communicate with RF modules through an easy to-use graphical interface. It incorporates new instruments that make it simple to setup, design and test. One of a kind component like graphical network view, which graphically performs to the RF modules (XBee) system alongside the sign

4 4 Rasha Talal Hameed, Omar Abdulwahabe Mohamad, Omar Talal Hamid and Nicolae Ţăpuş quality of every link. Additionally, the XBee API outline developer, which instinctively manufactures and translate API outlines for XBees being utilized as a part of API mode, combine to make improvement on the XBee stage simpler than at any other time. Different highlights of XCTU incorporate the accompanying features: manage and configure various RF instruments, even remotely (over-the-air) linked gadgets, Two particular API and AT consoles, have been planned from scratch to link with radio gadgets and the firmware upgrade prepare consistently reestablishes the module settings, automatically taking care of mode and baud rate changes [22]. 4) Web Site Techniques The development of web-based e-health surveillance is a normal effect of such variations because such entryways give patients and social insurance expert s simple gets to data regardless of where they are. In this proposed framework, we utilized Service Oriented Architecture (SOA), Representational State Transfer (REST) and Rich Internet Application (RIA) on web 2.0. A serviceoriented architecture is basically a gathering of services. These services connect with each other. The correspondence can include either straightforward information passing or it could include two or more administrations planning some movement. Some method for associating administrations to each other is required [23]. Service Oriented Architecture (SOA) can be complete by including of some support taking into account innovation, similar to simple object access control (SOAP) or Representational State Transfer (REST). REST and also gives a major number of equal clients, servers and reduction system transit because of little load. Thusly, proposed model (REST) has been utilized as the service oriented architecture for patient observing framework. REST is outline for Rich Internet Application (RIA) on Web 2.0[24]. All the information and functionalities in REST are considered as resources. The resources are recognized by Universal Resource Identifier (URI) exhaustive which all around characterized operations are performed to build up a stateless correspondence convention, for example, HTTP [25]. IV. IMPLEMENTATION OF THE PROPOSED SYSTEM The prototype accuracy and limitations have been examined by a data gathering test intended for 60 applicants, both healthy male and female with various ages. Patients were partitioned into three groups according to age. These groups as follows: First group: patient under 20 years old. Second group: patient between 20 to 50 years old. Third group: patient over 50 years old. The proposed observing framework utilized decision making algorithm as appeared in figure7. We utilize data mining strategies in order to build our decision algorithm. The data mining techniques are dependable to make proper choices in light of three parameters which are patient id, sensor type, and sensor current data. At the point when the application gets the information from the sensors, the algorithm will check if the sensor information is normal or abnormal, in view of the ordinary scopes of lab medicinal tests and patient's therapeutic approach which are characterize in the framework. Figure 7. Decision algorithm of the proposed monitoring system In health-related fields, normal scopes of laboratory medical tests present the varieties of estimations or values in healthy people. Reference ranges are generally dictated by taking either the most reduced or the highest values of outcomes got on an ordinary populace. Each patient has a therapeutic arrangement profile in the framework in view of the sensor sort to help the framework to make good medicinal choices. Figure 8 demonstrates the connection of all the sensors on the e-health platform shield with Arduino Uno board. The synchronized framework will be prepared for continuous checking. In the following the results of the difference sensors adopted in this experiment. Figure 8. Experiment setup of the proposed monitoring system At the point when the administrator login after confirmation of username and password as illustrated in figure 9. He is able to view the statistical data about the enrolled clients and measurements with respect to doctor's facilities and health centers. The administrator plays a main part in the framework, he adds an employee, new hospital, insurance office and health center then he make a report. Moreover he gives the consent for specialists or medical attendants to view particular data for patient, profile history and patient data relying upon sensor sort.

5 Patient Monitoring System Based on e-health Sensors and Web Services 5 minute. The estimation of body temperature may appear to be basic yet a few issues may influence the accuracy of the reading. Figure 9. Login page Figure 12. Temperature monitoring for one patient in second group Figure 10. Main page of the proposed monitoring system In order to monitor the patient continuously, our system supports patient monitoring based on single sensor or multiple sensors. Figure 11 demonstrated the doctor monitor ECG for a patient in second group. Figure 13. Pulse rate monitoring for one patient in third group Figure 11. ECG monitoring for one patient in second group Additionally the specialist or doctor can monitor the temperatures, pulse rate and oxygen saturation in blood for the any patient as shown in the figures 12, 13 and 14 respectively. Depending on the three groups proposed in this system we gathered temperature, pulse rate and oxygen saturation in blood as in the example illustration appeared in the Tables I. The 1st, 2nd and 3rd in the table presenting the continuous three minutes of recording averaged at every one Figure 14. Oxygen saturation in blood monitoring for one patient in first group V. CONCLUSIONS This paper presents a design and implementation of patient monitoring system depending on multiple types of sensors and web services. Using four sensors related to healthcare monitoring such as electrocardiogram sensor (ECG), body temperature sensor, pulse rate sensor and oxygen in blood sensor (SPO2) which is controlled by Arduino Uno and

6 6 Rasha Talal Hameed, Omar Abdulwahabe Mohamad, Omar Talal Hamid and Nicolae Ţăpuş fetched data from sensors. The proposed system divided patients into three groups depending on the ages and patients outcomes were displayed and stored in the system. These outcomes will help doctors or nurses to monitor patients and to provide assistance in a timely manner. TABLE I. DATA COLLECTED FROM THE MULTIPLE SENSORS DEPENDING ON THE THREE GROUPS Patient Information Body Temperature ( º C) Sensors Pulse Rate (bpm) Oxygen Saturation SPO 2 (%) Group Patient ID Gender Age 1 st 2 nd 3 rd 1 st 2 nd 3 rd 1 st 2 nd 3 rd First Group Second Group Third Group (M=Male; F=Female) 001 M F M F F M M F M M M F REFERENCES [1] I. Chiuchisan,and O. Geman, An Approach of a Decision Support and Home Monitoring System for Patients with Neurological Disorders Using Internet of Things Concepts, WSEAS Transations on Systems., vol. 13, pp , [2] U. Varshney, A Framework for Wireless Monitoring of Mental Health Conditions, 31st Annual International Conference of the IEEE EMBS Minneapolis, Minnesota, USA, September 2-6, [3] J. Gubbia, R. Buyyab, S. Marusica, and M. Palaniswamia, Internet of Things(it):vision, architectural elements, and future directions, Elsevier, Feb [4] V. Deshmukh, and S. Wagh, A Proposed Architectural Model for Vita Sign Monitoring System, IEEE International Conference on Communications and Signal Processing ICCSP, [5] M. A. Abd El Ghany, M. S. Saleab, R. M. Toma, and K. Hofmann, Efficient Wearable Real time Vital Signs Monitoring System, IEEE International Conference on Electronics, Circuits, and Systems (ICECS),2015. [6] M. Rajarajan, D. Weerasinghe, and V. Rakocevic. Device Data Protection in Mobile Healthcare Applications Electronic Healthcare, Springer Berlin Heidelberg, vol. 01, pp , September [7] Shuo Lu,Yuan Hong,Qian Liu,Lingyu Wang,and Rachida Dssouli, Securing Telehealth Applications in a Web-Based e-health Portal, third international Conference on Availability, Reliability and Security, [8] P. A. Reddy, and J. Damodhar, A real time monitoring system for Physiological Signals using Wireless Sensor Network, International Journal of Engineering Trends and Technology, vol 3 (4), pp ,2012. [9] C. O. Rolim, et al, A Cloud Computing Solution for Patient s Data Collection in Health Care Institutions, Second International Conference on e Health, Telemedicine, and Social Medicine, [10] Yuce, M. R., Implementation of wireless body area networks for healthcare systems, Sensor and Actuators A:Physical, Vol. 162, No. 1, July, pp ,2010. [11] R. Palaniappan, Biological SignalAnalysis, Ramaswamy Palaniappan & Ventus Publishing, ISBN , 2010, pp [12] M. Espinoza, P. Aquino-Santos, C. Benítez, A.Velasco, B. Segura, E. Block, and M. Cass, WiSPH: A Wireless Sensor Network-Based Home Care Monitoring System, Sensors, 14(4): , [13] S. Ghorbani, and W. Du, Personal Health Service Framework, The 3rd International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH), pp , [14] O. Yakut, S. Solak, and E. D. Bolat, Measuring ECG Signal Using e Health Sensor Platform, International Conference on Chemistry, Biomedical and Environment Engineering (ICCBEE'14) Oct 7-8, [15] Arduino web site, Getting Started with Arduino, Feb [16] S. Begum, M. U. Ahmed, and P. Funk, ECG Sensor Signal Analysis to Represent Cases in a Case-based Stress Diagnosis System, 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 3-5 Nov, [17] A. Abdullah, A. Ismael, A. Rashid, A. Abou-El Nour, and M. Tarique, Real Time Wireless Health Monitoring Application Using Mobile Devices, International Journal of Computer Networks & Communications (IJCNC) Vol.7, No.3, May [18] N. M. Zainee, and K. Chellappan, Emergency Clinic Multi- Sensor Continuous Monitoring Prototype Using e-health Platform, IEEE Conference on Biomedical Engineering and Sciences (IECBES),2014. [19] S. Biswas, and S. Misra, Designing of a Prototype of e- Health Monitoring System, IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Nov, [20] R. Rákay, M. Višňovský, A Galajdová,and D. Šimšík, Testing Properties of E-health System Based on Arduino, Journal of Automation and Control, Vol. 3, No. 3, ,2015. [21] FileZilla web site, FileZilla Features, April [22] XCTU web site, Next Generation Configuration Platform for RF Solutions, Mar [23] C. Pautasso, O. Zimmermann, and F. Leymann, Restful web services vs. big web services: Making the right architectural decision, Proceedings of the 17th International Conference on World Wide Web, [24] M. Waris, S. Khan, and M. Fakhar, Factors Effecting Service Oriented ArchitectureImplementation, International Conference on Science and Information, London,UK, [25] Constantine J., and Anthony C., Future Proof Analytics Techniques for Web 2.0 Applications,International Conference on Telecommunications and Multimedia (TEMU), 2014.