WEB BASED HEALTH RECORDING AND MONITORING SYSTEM USING ARM · PDF fileWeb Based Health...

International Journal of Advances in Applied

Science and Engineering (IJAEAS)

ISSN (P): 2348-1811; ISSN (E): 2348-182X

Vol-1, Iss.-4, SEPTEMBER 2014, 23-29

© IIST

International Journal of Advances in Engineering and Applied Science Vol-1, Iss-4, 2014

23

WEB BASED HEALTH RECORDING AND MONITORING SYSTEM USING

ARM MICROCONTROLLER

1SHRUTHI G.B., 2NAVEEN H., 3PRIYA R SANKPAL

1UG Student, Dept of TCE, BNMIT, Bangalore, India

2Assistant Professor, Dept of ECE , MSEC, Bangalore, India

3Assistant Professor, Dept of TCE, BNMIT, Bangalore, India

Email: [email protected],[email protected],[email protected]

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.

Figure 1: Structure of our project

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

Our Project

Patient System Server system Doctor system

ECG Recorder Body temperature

Monitor

mailto:[email protected]



Web Based Health Recording and Monitoring System Using Arm Microcontroller


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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

Figure 3 : System level block diagram

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 800000h. 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.

Electrode 2

Electrode 1

Electrode 3

ECG Electrode sensor

LM275

Body temperature Sensor

Microcontroller Unit

ADC

INA13

ECG

Acquisition

Unit

Server

system

Doctor

System

Patient

system

Web Unit



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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

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 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.

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).



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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 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.

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

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 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

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.



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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.

Figure 12: Flowchart for monitoring Body temperature

IV. RESULTS

A: Hardware result

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 14.



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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 15: Web server login page

Figure 16: Real ECGgraphin web server

D: FIELD TRIALS

Field trial was conducted and compared with existing

ECG device with ECG graph which is recorded in the web

server for three electrodes, Figure 19 shows the ECG setup

and ECG graph of an Existing system.

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

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.



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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

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 2012.

2. 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 1-5,2004.

3. 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 2007.

4. 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 21-23 April 2010. 5. Aleksandra Milenkovic´ *, Chris Otto, Emil Jovanov,”

Wireless sensor networks for personal health monitoring:

Issues and an implementation, March 2006 6. Chris Otto, Aleksandar Milenković, Corey Sanders, Emil

Jovanov,” System architecture of a wireless body area sensor

network for ubiquitous health monitoring” Jan 2006. 7. Tang Yawei,Jiang Kai*,Fu Xiuquan,Li Dingli,”Low Power

dual-core Holter Systerm Based on MSP430 and ARM7,2007

8. 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.800-801,1993.

APPENDIX A

Final ECG PCB design

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