WEB BASED HEALTH RECORDING AND MONITORING SYSTEM USING ARM MICROCONTROLLER

Transcription

1 International Journal of Advances in Applied Science and Engineering (IJAEAS) ISSN (P): ; ISSN (E): X Vol-1, Iss.-4, SEPTEMBER 2014, IIST WEB BASED HEALTH RECORDING AND MONITORING SYSTEM USING ARM MICROCONTROLLER 1 SHRUTHI G.B., 2 NAVEEN H., 3 PRIYA R SANKPAL 1 UG Student, Dept of TCE, BNMIT, Bangalore, India 2 Assistant Professor, Dept of ECE, MSEC, Bangalore, India 3 Assistant Professor, Dept of TCE, BNMIT, Bangalore, India Shruthigb1@gmail.com,naveens.h.gowda@gmail.com,Priya@bnmit.ac.in ABSTRACT Recent development of Biomedical application like ECG recording and body temperature monitoring system for time saving and low cost products are focused most. In this report we using a system based on web server network (WSN) for recording ECG data and monitoring body temperature using ARM Microcontroller. The report describes continuous recording of ECG signal on to web server and also displayed on on-board LCD display on MCU unit. It also describes Body temperature monitoring system. Low voltage ECG signal from the electrode is Amplified by Instrumentation amplifier(ina) and converted to digital values using ADC1298. The acquired ECG signal are converted to specific format using ARM MCU and recorded continuously in web server. The recorded ECG graph can be seen at any place using secured web network. Keywords ECG,ARM MCU,ADC1298, INA,LCD,WSN I. INTRODUCTION In recent years there has been increasing demands in Biomedical area. To evaluate the performance of cardiovascular system, continuous recording of patient s ECG is needed and also monitoring body temperature of patient s is required. A System which has both ECG recording and Body temperature monitoring interfaced with web server might help to increase the comfort of patient and also it might improve the leaving standard of the patient. The detailed structure of project is given in Figure 1. Our Project Patient System Server system Doctor system ECG Recorder Figure 1: Structure of our project Body temperature Monitor There were many research which are carried on ECG recording and increasing cardiovascular disease like heart attack due to time and resource constraint which motivated to carry out our work which give precaution even better than the work which were proposed in earlier research. Most of the deaths due to heart attack are because of less monitoring of patient s who are at potential risk. Wearable ECG device to record ECG data on to SD card storage[1] inspired us to improvise it by using web sever network to record ECG data. The project aim is to reduce cost and to increase the performance by using web server interface in place of any other wireless device like Zigbee or Bluetooth.. A.Technical Background Wearable ECG recording and Monitoring device based on MSP430 MCU [1][2] was previous work carried where amplified ECG data converted to specific format by MSP430 to store in SD card. Limitation of this work was unnecessary usage of resource and time constraint. In the research work of Wireless body area sensor network [3] tiny wireless sensor network were placed on the human body any vital sign can be monitored by the user and personal. Limitation of this work is limited range of wireless sensor network. Our project uses resource efficient design and range is also not limited as compared to WBAN research work B.Proposed Solution 23

2 The simple solution is proposed in our project which overcomes the limitation of the previous work. The wearable ECG recording system to SD card is extended to web server network where ECG data ismonitored onlcd display and also continuously recorded into web server where time and resource are efficientlyutilized. At remote place we can monitor the ECG data which solves the range limitation of WBAN network. The Top level block diagram of proposed work is given in Figure 2 Figure 2: Top level Block diagram C. Organization of the Paper Organization of the paper is as follows : System level block diagram and detailed description about the proposed solution are discussed in Section II, hardware and software implementation of our project are given in Section III, results snapshots and test trials are discussed in section IV, Conclusion and future scope given in section V. II. PROPOSED SOLUTION The system-level block diagram of our project with signal flow is as shown in figure 3 Electrode 1 Electrode 2 Electrode 3 ECG Electrode sensor LM275 Body temperature Sensor INA13 ADC Microcontroller Unit Server system ECG Acquisition Unit Figure 3 : System level block diagram Doctor System Web Unit Patient system The hardware and software components used in our design are ECG Electrodes and body temperature sensor which are weak analog signals in mv, Theweak signal is converted into strong signal by using instrumentation amplifier (INA123). For processing of data in Microcontroller unit,the analog signal ouput from INA123 is converted to digital data using instrumentation ADC IC i.e ADS1298. Using microcontroller LPC1298 ARM 7 TDMI the digital ECG data converted to specified format and monitoring on LCD display and the same data is processed into server system and the real time ECG graph for three electrode and the body temperature of patient is displayed. ECG data which is recorded into system can be viewed by patient using there secured ID and passwordprovided and also authenticated doctor can view the details of the patients,ecg plot and body temperature reading can be analyzed easily. ECG signals are measured with button type ECG electrode it uses AG/Agcl sensor element which has best sensitivity and solid conductivity.adhesive hydrogel has very low impedance and is non irritating. Body temperature signals are measured with temperature sensor TMP36 it is very similar to LM35 temperature sensor. The ECG signals which come from electrodes are 1mv peak to peak. An amplification is required for suitable heart rate detection. Best approach is to use differential amplifier like Instrumentation amplifier INA123. The device is operated at 2.7v. INA provides fixed amplification of 5x for ECG signal. The output of Instrumentation amplifier is analog need to be made digital for processing of ECG data in MCU.MSP430 has built in ADC but for ECG data, instrumentation ADC (ADS1298) is preferred.ads1298 is operated at maximum of 3.2v for digital data, it is an 8 channel low power, 24 bit resolution delta sigma analog to digital converter, it uses simultaneous sampling, it has onboard oscillator. It has all the features required for biomedical application like ECG recording. Digital ECG data is sent through SPI bus to ARM7 MCU for preprocessing. ARM7 TDMI family of ultra low power microcontroller consists of several devices featuring different set of peripherals. The special feature of this microcontroller that we are going to use are Op-amp, built in LCD display, ADC, USB interface and USART. Sampling of ECG data has to be done, The amplified ECG signal is given to the instrumentation ADC (ADS1298) which output s 24 bits of data per channel in binary two complement format.a positive full scale input produces an output code of 7FFFFFh and the negative input produces an output code of h. LSB has a weight of Vref/(2^23-1). The device has only 17 and 19 bit resolution. The table 1 gives ideal output code verses input signal [5]. The ADC in the device offer data rates from 250SPS to 32kSPS. Communication to the devise is by SPI interface. Internal oscillator generates a 2.048MHz clock. 24

3 Table 1 : Ideal output code verses input signal The sampled ECG signal contains some amount of line frequency noise. This noise can be removed by low pass filtering the signal. The filtered signal can be output on display unit by the DAC of Microcontroller unit (ARM) or it can be monitored on LCD display or transmitted to PC using UART of ARM MCU. Here we are monitoring the ECG signal on LCD Display and also transmitted to PC using UART (USB Cable). The ECG data is processed into server PC using USB interface and stored in specific format and this format is converted into web format using html code and the ECG graph for three electrode and body temperature data in Fahrenheit is displayed and this recorded data can be viewed anywhere with secured username and password by doctor and also by patient. III IMPLEMENTATION Figure 5 :Processing Hardware schematic The ECG data and temperature data are first amplified by an instrumentation amplifier and given as input to the Instrumentation ADC (ADS1298) for conversion to digital format and it is display on LCD Display.The figure 6 gives the hardware schematic for LCD Display module. A. Hardware Implementation In our project we using three ECG lead electrodes for ECG recorder and TMP36/LM35for body temperature monitoring as shown in figure 4[7][2]. Figure 4: TMP36 and ECG Electrodes The complete hardware schematic before digital processing is as shown in the figure 5 below. Figure 6 :LCD module Hardware Schematic In this hardware implementation shown in figure 7, The Amplified ECG electrode data from three electrodes are separated and individually preprocessed before driving this data into Microcontroller unit (ARM 7). 25

4 recorded. We also faced problem to interface MCU with PC using USB port. Data to get on terminal window was really challenging part in this project. Figure 7: Hardware schematic for USB Interface The individual Digital ECG Signal are driven into Microcontroller unit using Serial port interface (USB).The ECG data which are loaded are converted to specific format by Microcontroller unit (LPC2148 ARM7 TDMI) and displayedonon- board LCD Display. Figure 9 : Finished MCU Unit The figure 9 shows the completely finished MCU unit withlcd Display. B. Software Implementation In our project Embedded C code for ARM Microcontroller is implemented, mainly the software code is used for getting digital data in specific format from instrumentation ADC and this data are displayed on LCD Display as well as using this code formatted data is loaded into server system for further processing Figure 8: Temperature sensor Hardware Schematic The Figure 8 shows temperature sensor interface before ADC conversion. From the figure, LM35/TMP36 IC are used to read body temperature to a certain level and this temperature data also need to be converted to digital to display /store in Server PC. Software implementation involves two flow diagram or flow chart one is to process ECG data in specific format from ADC in ARM MCU,second is to monitor body temperature data and ECG data in specific format on LCD display. The Flowchart diagram for Recording ECG by MCU into server PC is as shown in Figure 11. The Processed ECG data is recorded to the system using UART interface from ARM 7 microcontroller and the data are recorded into web server and also body temperature are monitored continuously and it is displayed on on-board LCD display of ARM7 microcontroller and the same temperature data are displayed in web server. Few of hardware related challenges was while designing ADC, Crystal and few register were interchanged. There was no proper ECG data 26

5 Figure 12: Flowchart for monitoring Body temperature A: Hardware result IV. RESULTS Figure 11: Flowchart for recording ECG Data The amplified ECG data has to be converted to digital format so first ADC I/O is initialized.check for ADC data, if ECG data available, select 3 channels out of 8 channel and convert to specific format;send the ECG data into PC using USB. Repeat the process till reset is made low. The Flowchart diagram for ECG and Body temperature monitoring is as shown in figure 12. Analog Temperature data is converted to digital data using ADC. One channel out of 8 channels is used for temperature monitoring and converted to specific format. The body temperature is sent to PC using USB. Temperature reading is displayed in Fahrenheit. The figure 13 showcomplete hardware to process the ECG data on to web server and continuously monitored on LCD display Figure 13:Hardware Product B: Software Result After Processing of data into specified format by MCU, simulated results from Eclipse for ECG data are given in the figure

6 server for three electrodes, Figure 19 shows the ECG setup and ECG graph of an Existing system. Figure 14: Eclipse Database Acquired ECG result C: Web result The simulated data from CCS studio is converted to HTML data for plotting ECG graph on Web server. Temperature data are continuously monitored in web server. Figure 15 gives login page where we enter unique username and password. Figure 16 shows ECG graph on web server which runs in real time Figure 19: ECG setup andgraph of an Existing system ECG graph for proposed system taken for three electrodes are shown in figure 20. Figure 20:ECG Graph for Proposed system V. CONCLUSIONS Figure 15: Web server login page Figure 16: Real ECGgraphin web server Our project web server network for ECG recording and body temperature monitoring system for people suffering from cardiac disorder who wish to lead an active lifestyle. In this report ECG recording into SD card and into web server network is present. It also present monitoring of body temperature. We have got successful recording of ECG data and body temperature is precisely measured. Only few trial test are done on few people. Actual test on patient is not explored. This project has wide scope in small scale industry because of its low cost, easy access by many people at the same time. We have considered three electrode in our design, five electrode design will be explored in future implementation. Real time access is available only at the server system where hardware connected. We will expand our web design for accessing real time ECG data by doctor system who is at far distance. D: FIELD TRIALS Field trial was conducted and compared with existing ECG device with ECG graph which is recorded in the web 28

7 ACKNOWLEDGMENTS We like to thank our management for giving opportunity to participate in TI design contest, We like to thank HOD,TCEDept BNMIT for her constant support in completing this project. We like to thank Dr.Ravish.H for giving input on medical application and other medical related information and also for providing lab facilities to test over project. We like to thank Santosh.B.S for his support in building web part of project. Our sincere thanks to external mentor Naveen.H for his constant support in making documentation and building this project. REFERENCES APPENDIX A Final ECG PCB design 1. Asifiqbal Thakor, Prof. Rahul Kher,and Prof. Dipak Patel, Wearable ECG Recording and Monitoring System based on MSP430 Microcontroller,International Journal of Computer Science and Telecommunications October J. Mühlsteff O. Such, R. Schmidt, M. Perkuhn, H. Reiter, J. Lauter, J. Thijs, G. Müsch, M. Harris. Wearable approach for continuous ECG- and Activity Patient Monitoring. Proceedings of the 26th Annual International Conference of the IEEE EMBSSan Francisco, CA, USA., September 1-5, J. W. Zheng, Z. B. Zhang, T. H. Wu, Y. Zhang. A wearable mobihealth care system supporting real-time diagnosis and alarm. International Federation for Medical and Biological Engineering Yoshio Okada, Tsuyoshi Yi YOTO, Taka-aki Suzuki, Satoshi Sakuragawa Industrial Research Institute of Shizuoka prefecture Shizuoka, Japan,Toshifumi Sugiura Research Institute of Electronics, Shizuoka University Shizuoka, Japan, Development of a Wearable ECG Recorder for Measuring Daily Stress. International conference on Information science and application April Aleksandra Milenkovic *, Chris Otto, Emil Jovanov, Wireless sensor networks for personal health monitoring: Issues and an implementation, March Chris Otto, Aleksandar Milenković, Corey Sanders, Emil Jovanov, System architecture of a wireless body area sensor network for ubiquitous health monitoring Jan Tang Yawei,Jiang Kai*,Fu Xiuquan,Li Dingli, Low Power dual-core Holter Systerm Based on MSP430 and ARM7, J.L.Urrusti and W.J.Tompkins, Performance evaluation of an ECG QRS complex detection algorithm Proc. Annual International Conference of the IEEE Enginerring in medicine and biology Society,pp ,