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Research Article Labview Based ECG Patient Monitoring System for Cardiovascular Patient Using SMTP Technology

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Journal of Medical Engineering Volume 25, Article ID 752, 9 pages Research Article Labview Based ECG Patient Monitoring System for Cardiovascular Patient Using SMTP Technology
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Journal of Medical Engineering Volume 25, Article ID 752, 9 pages Research Article Labview Based ECG Patient Monitoring System for Cardiovascular Patient Using SMTP Technology Om Prakash Singh, Dawit Mekonnen, and M. B. Malarvili 2 Biomedical Engineering, JiT, Jimma University, 378 Jimma, Ethiopia 2 DepartmentofBiotechnologyandMedicalEngineering,FacultyofBioscienceandMedicalEngineering,UniversitiTeknologiMalaysia, 83 Skudai, Johor, Malaysia Correspondence should be addressed to Om Prakash Singh; Received July 25; Accepted 5 September 25 Academic Editor: Norio Iriguchi Copyright 25 Om Prakash Singh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper leads to developing a Labview based ECG patient monitoring system for cardiovascular patient using Simple Mail Transfer Protocol technology. The designed device has been divided into three parts. First part is ECG amplifier circuit, built using instrumentation amplifier (AD62) followed by signal conditioning circuit with the operation amplifier (lm74). Secondly, the DAQ card is used to convert the analog signal into digital form for the further process. Furthermore, the data has been processed in Labview where the digital filter techniques have been implemented to remove the noise from the acquired signal. After processing, the algorithm was developed to calculate the heart rate and to analyze the arrhythmia condition. Finally, SMTP technology has been added in our work to make device more communicative and much more cost-effective solution in telemedicine technology which has been key-problem to realize the telediagnosis and monitoringof ECGsignals. The technology also can be easilyimplemented over already existing Internet.. Introduction ECGisusedtomeasuretherateandregularityofheartbeats, the presence of any damage to the heart, and the effects of drugs or devices used to regulate the heart (such as a pacemaker). Normally, the frequency range of ECG signal is.5 Hzanditsdynamicrangeis mv.theecgsignal as depicted in Figure is characterized by five peaks and valleyslabeledbythelettersp,q,r,s,andt.theperformance of ECG analyzing system depends mainly on the accurate and reliable detection of the QRS complex, as well as T- and P-waves. The P-wave represents the activation of the upper chambers of the heart, the atria, while the QRS complex and T-wave represent the excitation of the ventricles or the lower chamber of the heart. The detection of the QRS complex is the most important task in automatic ECG signal analysis. Once the QRS complex has been identified a more detailed examination of ECG signal including the heart rate and the ST segment can be performed [, 2]. Most of the modern 2-lead ECG monitoring systems are basedoneinthoven striangle,wilsoncentralterminal,and Goldberger augmented leads [3]. The developed ECG device is implemented on the principle of Einthoven s triangle and used lead-ii configuration, as it is known as a monitoring lead, given in Figure 2. Based on above facts, there have been numerous attempts to develop medical systems similar to the work. Such efforts are primarily led by the academia but extending deeply into the industries. However, most research efforts have been focusing on either the vital sign monitoring aspect or the ECG feature extraction using standard databases both falling short of expectation. Having analyzed the existing solutions, this work vows to bridge the two major research efforts and bring out a more realizable product to directly benefit the consumers in the medical field. This research work offers the following contributions to the produced system; foremost is the portable ECG monitoringplatformbasedona3-leadsystemandadesign 2 Journal of Medical Engineering Figure : Peaks of ECG. R P T Right arm RA +avr 5 2 Lead I avl+ + LA Left arm 8 Lead II Lead III R +avf R P Q T + LL + Left leg P Q T Bipolar limb leads Augmented unipolar limb leads Figure 2: Electrode placement using a 3-wire cable. Journal of Medical Engineering 3 Subject Instrumentation amplifier High-pass filter Signal acquisition Signal conditioning circuit Surface electrode Operational amplifier SMTP Laptop DAQ card (68) Internet http Analyzing software (LabVIEW ) Physician Figure 3: Block diagram of proposed ECG device. under the NI DAQ card (68). The ECG data was collected through the DAQ card to the PC/laptop and then transmitted to the end user (physician) through SMTP to analyze the patient condition. 2. Material and Method The block diagram of the complete system is given in Figure 3. The complete design was divided into two parts: hardware and software. The hardware part comprises instrumentation amplifier (AD62), some passive components, operational amplifier (LM74), DAQ card, and laptop whereas Labview is used as software. The software is used to exchange the data from analog to digital form, to perform the calculations, and to produce the ECG waveform onto the monitor. Each of the components in this block diagram is explained in detail in the following subsections [4]. 2.. Surface Electrode. The principle of the electrodes is to convert a physical parameter into an electrical output. The function of the transducer is to convert biological information into a quantifiable electrical signal. The transducer interface is provided using an electrode-electrolyte interface. The most preferable electrode is Ag/AgCl, as it reduces the impedance while using it and the gel is used for the proper contact in between the surface of the skin and electrode Signal Conditioning Circuit. After receiving raw ECG signal from the subject through electrode, it has to be processedinordertobringthesignalinvisibleformandto limit the bandwidth of the signal. To do so, the instrumentation amplifier was used to amplify the tiny signal whereas passive and active components are used to design filter and to amplify it. Figure 4 illustrates the constructive circuit diagram of signal conditioning. The circuit has been designed and tested in multisims to get the appropriate output of signal Instrumentation Amplifier. The voltage gain of the instrumentation amplifier is calculated using the following equation: G=+ G= kω Rg, 49.4 kω kω = = Operational Amplifier. The voltage gain of the operational amplifier is estimated using given formula as the used one is noninverting amplifier: G=+ R3 R2, G=+ 2 kω kω = + 2 = 2. () (2) 4 Journal of Medical Engineering XLV Rleg Multisim Rarm Larm Lleg Chest 9 8 VCC R5 R3 2 kq 5V. kω 6 VEE 7 R V U2 4 VCC. kω VEE U 2 R4 3 + C kω μf 74 2 AD62AN VCC C2 XMM VCC. μf VEE 5V + R XSC A B + + Ext. trig. + VEE 5. V 5.6 kω Figure 4: ECG signal acquisition and condition circuit High-Pass Filter. The output of the instrumentation amplifier is fed into the passive AC coupling with a cutoff frequency, as in (3), of.2 Hz such that high-pass filters f high-pass = = 2πRC , 5 f high-pass = , f high-pass =.2 Hz Low-Pass Filter. The second-stage amplified signal is fedintoalow-passfilterwithacutofffrequency,asin(4), of 6 Hz for removing high frequency noise or movement artifacts: f low-pass = 2 π R4 C2 = , f low-pass = = 59.2 Hz DAQ Card (68). The output of the signal conditioning circuit should be sent to the NI DAQ card for the conversion of signal from analog to digital as it has the inbuilt analog-todigital converter. Thegivenfigure(Figure5)givestheideaabouttheblock diagram of NI USB-68 which is a simple and low-cost multifunction I/O device from National Instruments [5]. It is used to digitize the amplified, filtered ECG signal. The NI USB-68 card has 8 differential analog input channels (3) (4) and 2-bit analog-to-digital converter running at a sampling frequencyupto3hz,whichcanbeincreasedupto2 KHz.ThissatisfiesthesamplingrequirementsoftheECG signal Laboratory Virtual Instrument Engineering Workbench (Labview). It is a graphically programmed computer language for real-time instrumentation. It is a software package developed to build programs with symbols (icons) rather than writing out lines and lines of programming text. It uses symbols, terminology, and formats that are familiar to technicians, scientists, and engineers. Labview is programmed to act as an interface, helping pieces of hardware communicate with each other. Moreover, Labview offers built-in libraries that allow the user to work over the Internet and use different programming formats and systems Simple Mail Transfer Protocol (SMTP). Figure 6 shows the step of SMTP of how the data is processed throughout the different stages and transferred to client. It is a part of the application layer of the TCP/IP protocol. Using a process called store and forward, SMTP moves your e- mail on and across networks. It works closely with something called the Mail Transfer Agent (MTA) to send your communication to the right computer and inbox [http://support.aycontrol.com/]. 3. Designing Strategies The approach that has been followed in the designing of device is included in Figure 7. There were several stages like finding the appropriate electrodes to acquire the signal from body of the subject and analog signal conditioning circuit includes filtering and amplifying stage, DAQ card, and digital signal processing and display system. Journal of Medical Engineering 5 Full-speed USB interface Vbus USB External power supply USB microcontroller +5V/2 ma PFI P...3 P...7 Digital I/O terminal block +2.5 V/CAL 8-channel 2/4b ADC SPI 2b DAC 2b DAC Al..7 AO AO Analog I/O terminal block Figure 5: NI USB-68 block You SMTP SMTP server SMTP 4.. Retrieving Input Signal. The analog signal is acquired from the bread board and converted to the digital one through DAQ. Digital signal processing is done accurately as needed in order to produce high signal-to-noise ratio so that the heart diagnostic system is precise. The internet SMTP 4.2. Digital Signal Processing. Here, the digital filter is done to remove the power line interferences and other artifacts availableinthesignal.thenecessarydataprocessingto displayreal-timeecghadbeenperformed. POP/IMAP server User Figure 6: Simple Mail Transfer Protocol (refer to 4. Designed Labview Interface TheECGsystemthathasbeendevelopedisusedforthe continuous acquisition and chart recording of single input channels. It allowed user to record and save buffered analog ECG data from one or more individuals, which is continuously acquired into a circular buffer at the same time in that data previously retrieved from the buffer is plotted [6 8]. A common reason to read data while the acquisition is in progress is to process and display the data in virtual-real time Threshold and Peak Detector. The threshold and peak indicators are implemented after processing. The purpose of these indicators is to provide some feedback to the user (i.e., physician) regarding the patient s average heart rate. Figure 8 gives the idea about the complete ECG system developed in Labview. The first part shows how the data have been acquired using data acquisition card (68); immediate in next step, the retrieved data has been processed by Band Pass Filter as well as notch filter to remove the artifacts from the signal [9, ]. Furthermore, the algorithm is developed to detect the peak of the signal. The following given equation is used to calculate the heart rate and to identify the arrhythmia condition [, 2]: Heart Rate = 6, (5) t 2 t with t being occurrence of first R wave and t 2 being occurrence of second R wave. 6 Journal of Medical Engineering LabVIEW based patient monitoring system for cardiovascular patient and EGG data transferred using SMTP technology Body Acquired ECG signal from the subject Amplified and passed through analog filter Received the analog signal from signal conditioning ckt DAQ Converted signal into digital form Retrieved signal contaminated with artifacts Digital filter Removed the artifact from the signal Compare the heart rate Logic Display the heart condition ECG signal Display the ECG waveform Save the ECG signal and heart rate in image form SMTP Send the output signal through SMTP to remote area Figure 7: Designing strategy. Data acquisition Data processing Data presentation 4.4. Display System Tool (Toshiba). After processing raw ECG signal, the signal has been displayed onto the laptop as shown in Figure 9. The display too is compatible with the prerequisite of the Labview software SMTP (Simple Mail Transfer Protocol). Finally, the developed SMTP tool is used to send image file of acquired ECG signal through Express VI, shown in Figure that represents the front panel and Figure that represents the block panel developed using Labview which allows sending the data quickly through s from Labview to a health care centre or a physician. 5. Result Figure 8: Acquired, processed, and calculated heart rate. The given system is based on the principle of heart rate monitoring; it is able to produce the results shown in Journal of Medical Engineering 7 NI DAQ card (68) ECG amplifier circuit Laptop as display tool Figure 9: Proposed ECG device. Figure : Front panel of SMTP. proposed concept by running the VI at home, which sent both text and to our doctor notifying them that there was a detected problem with the patient s heart. It brings the freedom for the physician as well as for the doctor to check up on patients hearts from time to time by seeing real-time waveforms as shown in Figure 2. The proposed device is functioning well once all the hardware connected properly to meet the criteria for the proposed idea. As a whole, it is very reliable and portable as well as cost effective. Figure : Block panel of SMTP. Figure 2, which show accurate ECG signals and the correct calculation of both a resting and an elevated heart rate. Initially, there was an issue with the system regarding doctor notification subsystem which has been short by validating the 6. Discussion Most of the work has been done based either on hardware or on software. In the case of hardware, to transmit the ECG data, transmitter and receiver had been used, which increases the cost of the device, whereas the developed one integrated with hardware along with software to transmit the 8 Journal of Medical Engineering Figure 2: Acquired, processed ECG signal. data anywhere using SMTP technology. Thus, the complete devicebecomesmoreuserfriendlyaswellascosteffective. 7. Conclusion and Future Work In this paper, the low-cost biomedical measurement system withtheabilityofstorageindigitalformataswellassending the data to the remote area has been presented. The hardware implementations using commercially available devices and thesoftwarewritteninlabviewprogramforcontinuously monitoringecgdatahavebeendescribed.theproposed measurement system is also capable of sending the data through SMTP to the physician or health care centre with no time. The proposed system could be modified by increasing the number of channels. Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. Acknowledgments One of the authors would like to express their gratitude to their colleagues for their help in accomplishing this work. This study is supported under a project funded by Universiti Teknologi Malaysia and by Ministry of Higher Education, Malaysia, under Grant no. R.J F473. References [] P. Khanja, S. Wattanasirichaigoon, J. Natwichai, L. Ramingwong,andS.Noimanee, AWEBbasesystemforECGdata transferred using ZIGBEE/IEEE technology, in Proceedings of the 3rd International Symposium on Biomedical Engineering (ISBME 8), Bangkok, Thailand, 28. [2] C. Saritha, V. Sukanya, and Y. Narasimha Murthy, ECG signal analysis using wavelet transforms, Bulgarian Journal of Physics, vol. 35, Article ID 357, pp , 28. [3]C.T.Weay,F.C.Horng,andS.Nadarajah,PC Based ECG Monitoring System, School of Computer Engineering, Nanyang Technological University, Singapore, eee/urop/congress23/proceedings/abstract/ntu SCE/Foh- SCE.pdf. [4] A. A. M. Adam and M. B. M. Amin, Design and implementation of portable PC-based ECG machine, International Journal of Sciences: Basic and Applied Research,vol.5,no.2,24. [5] User Guide and Specifications NI USB-68/69, [6] A. Wongjan, A. Julsereewong, and P. Julsereewong, ContinuousmeasurementsofECGandSpO 2 for cardiology information system, in Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS 9), vol.2,hong Kong, March 29. [7] M. Lascu and D. Lascu, LabVIEW based biomedical signal acquisition and processing, in Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing (SSIP 7), pp , Athens, Greece, August 27. [8] H. Sahool and K. Biswal, Patient monitoring system for cardiovascular patient with body temperature using lab VIEW, Engineering Research and Development, vol. 6, no. 8, pp. 27 3, 23. [9] A. S. Khaing and Z. M. Naing, Quantitative investigation of digital filters in electrocardiogram with simulated noises, International Journal of Information and Electronics Engineering,vol., no. 3, 2. [] P. Le-Huy, J. P. L-Huillier, Y. Omerzouk, and E. Yvroud, Microprocessor-based ambulatory ecg monitoring system, in Proceedings of the 7th Annual Symposium on Computer Applications Journal of Medical Engineering 9 in Medical Care, pp , IEEE, Washington, DC, USA, October 983. [] M. K. Islam, A. N. M. M. Haque, G. Tangim, T. Ahammad, and M. R. H. Khondokar, Study and analysis of ECG signal using MATLAB & LABVIEW as effective tools, International Journal of Computer and Electrical Engineering, vol.4,no.3,pp.44 48, 22. [2] National Instruments, LabVIEW for ECG Signal Processing, 22. 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