MOBILE ICU USING ANDROIDM. NARMATHA Mrs. INDRA DEVI G. SIVA RANJANICSE, Final Year (HOD) Dept of CSE CSE, Final YearIndra Ganesan College Of Engg Indra Ganesan College Of Engg Indra Ganesan College Of Enggnarmathamano26@gmail.com Trichy-12.

sranjani.18@gmail.com9688264699 8940184046

ABSTRACT:

Today, though technology isincreasing rapidly in one hand, thehealth issues are also increasing inthe other hand. So the proposedwork defines a concept to easehospital work. This work addresses amini-ICU as it observes all thenecessary parameters of the patientthat could be employed both in homeand hospitals. At the same time, thepatient is able to get remotetreatment from the doctor whichcould automatically be stored in thedatabase. This work is found to bemore useful at the time of naturaldisaster where there are numerouspatients who need intense care. Alsowhen the patients get back homethey might again get infected withthat disease so it is used to monitorcontinuously in their home itself. Themain objective of this work is tomonitor the patient continuously

wherever they are and also to getremote treatment. The main highlight is that it is able to work withsolar power during power shutdowns.

KEY WORDS:

Continuous monitoring, Remotetreatment, Android.

1. INTRODUCTION:

In this Nano world, thoughtechnology growing veryrapidly to facilitate humanlife style, but on the otherhand health issues areincreasing rapidly. Due tocurrent life style, it’sdifficult to monitor thedependants if they are notplaced together. This leads tocontinuous monitoring of aperson. This makes us toprovide a smarter solution tomonitor the dependants. In

that aspect, we young buddingengineers proposed a conceptto ease hospital people workand to monitor the personusing android mobile”. Thiswork addresses a mini-ICU asit observes all the necessaryparameters of the patient thatcould be employed both in homeand hospitals. At the sametime, the patient is able toget remote treatment from thedoctor which couldautomatically be stored in thedatabase.

2. PARAMETERS TO BEMEASURED:

The following parameters aremeasured.

Heart beat rate Body temperature Coma patient recovery ECG Blood glucose level Saline level

monitoring

3. BLOCK DIAGRAM :

3.1 ADVANTAGES :

Monitors the patientstatus continuously.

All the necessaryparameters are monitored

Remote treatmentimmediately.

Even coma patient statuscan be monitoredcontinuously.

When patients gets welland come back to homefrom hospital might getinfected again, so thisis found to be veryuseful.

Ability to run with solarpower

Applicable for allandroid mobile.

4. SYSTEM ARCHITECTURE:

The system architectureconsists of hardware andsoftware as follows:

4.1. SYSTEM HARDWARE:

The following describes thesystem hardware.

4.1.1. HEART BEAT SENSOR:

FIG-1: Shows the heart beat

sensor

Doctors measure our heart ratemanually. We also can feel thepulse on our finger. Ourheart does this around 72 to84 times a minute for a

healthy person. But here, wewill pass light (using an LED)from one side of the fingerand measure the intensity oflight received on the otherside (using an LDR). Wheneverthe heart pumps blood morelight is absorbed by increasedblood cells and we willobserve a decrease in theintensity of light received onthe LDR. As a result theresistance value of the LDRincreases. This variation inresistance is converted intovoltage variation using asignal conditioning circuitusually an OP-AMP. The signalis amplified enough to bedetectable by themicrocontroller inputs. Themicrocontroller can beprogrammed to receive aninterrupt for every pulsedetected and count the numberof interrupts or pulses in aminute. To save time, only thenumber of pulses for tenseconds are counted and thenmultiplied by 6 to get pulsecount for 60 seconds/1 minute.

4.1.2. BODY TEMPERATURE:

The LM35 is precisionintegrated-circuit whoseoutput is linearlyproportional to the Celsiustemperature. The scale factoris +10.0mv/°c. Hencetemperature is equal toVout*(100°C/V).The voltagefrom LM 35 is converted todigital format using ADC ofARM controller. This digitalvalue is used to send via SMSafter proper conversion.

4.1.3. COMA PATIENT RECOVERY:A sensor called Accelerometerthat would help to detect anyslight movement of an objectand the object being in ourcase is the coma patient whois on bed for a longerduration without any movement.And they are monitoredcontinuously usingaccelerometer for every timeperiod to detect any tilt madeby the patients. Here thetransmitter end is fixed onthe toe whose movement isreceived by the receiver endautomatically and if there isany movement, this report issent immediately to thedoctor.

public class SensorActivityextends Activity, implementsSensorEventListener{private final SensorManagermSensorManager;private final SensormAccelerometer;public SensorActivity () {MSensorManager=(SensorManager)getSystemService(SENSOR_SERVICE);mAccelerometer =mSenorManager.getDefaultSensor(Sensor._TYPE_ACCELEROMETER);}FIG-2: Shows the java code for

accelerometer.

4.1.4. ECG:

The system consists of thefollowing subsystems: 1. Patient unit subsystem:This includes electrodes thatsense the electrical activitygoing through the heart,signal amplification circuit,conditioning circuit, dataacquisition circuit and homegateway. The circuit takes a

reading every 30 minutes andsends it to home gateway PC. 2. Database subsystem: Tostore the patient ECG signaldata, detect any abnormalityin the ECG signal and publishthe results that can beaccessed only by authorizedpeople. 3. Android unit subsystem:Android based application thatenables doctors to access thepatient details using androidmobile.

FIG-3: Patient’s ECG inandroid mobile. FIG-4:Maximized ECG screen.

The ECG signals have Electrodecontact noise such as loosecontacts, motion artifacts,and baseline drift due torespiration. They also pickelectro-magnetic interferencecaused by other electronicdevices surrounding the ECG

device and electrodes. Knowingthat the standard ECG signalbandwidth ranges between 0.05Hz and 100 Hz with averageamplitude of 1mV only, we needto filter the signal with aLow Pass, Band Pass, and aNotch filters. Finally, theresulted signal must beamplified. Next the ECGsignals need to be exported tothe home gateway. In thisproject, USB DrDAQ data loggeris acquiring the ECG data. Itconnects to the PC on a USB2.0 port and to the ECGcircuit's output using a probethrough the scope channel ofthe DAQ. The home gatewaycould be any PC, laptop, iPad,PDA or any other device thatcan be connected to theInternet. The Home gatewaywill receive the ECG signalfrom the data logger and sendsit to the healthcare server.

4.1.5 SALINE LEVELMONITORING:

For a patients on bed, thereneeds someone to monitor thesaline level in the bottleelse it tends to some riskfactors. So here I propose a

system that incorporates theLDR that works based on theintensity of light. When thesaline water in the bottle isempty it alerts the guide atfirst and in turn, if he doesnot notice it, it itselfcloses the flow with the helpof DC motor.

4.1.6 GLUCOMETER:

Glucometers use test stripscontaining glucose oxidase, anenzyme that reacts to glucosein the blood droplet, and aninterface to an electrodeinside the meter. When thestrip is inserted into themeter, the flux of the glucosereaction generates anelectrical signal. Theglucometer is calibrated sothe number appearing in itsdigital readout corresponds tothe strength of the electricalcurrent: The more glucose inthe sample, the higher thenumber which is sent via theblue tooth module to theandroid mobile which can thenbe sent to the doctor if thecondition is critical.

4.2 SYSTEM SOFTWARE:

Hyper Next Android Creator(HAC) is a softwaredevelopment system aimed atbeginner programmers that canhelp them create their ownAndroid apps without knowingJava and the Android SDK. Itis based on HyperCard thattreated software as a stack ofcards with only one card beingvisible at any one time and sois well suited to mobile phoneapplications that have onlyone window visible at a time.Hyper Next Android Creator'smain programming language issimply called Hyper Next andis loosely based on Hypercard's Hyper Talk language.Hyper Next is an interpretedEnglish-like language and hasmany features that allowcreation of Androidapplications. It supports agrowing subset of the AndroidSDK including its own versionsof the GUI control types andautomatically runs its own.

5. TESTING RESULTS:

FIG- 5: Shows the patientdetails

SMS sending and SMS receivingprograms are working properlyare checked on Eclipse softwareby using AVD manager. Thehardware is successfullyimplemented for remote healthmonitoring.

6. CONCLUSION:

In this paper a real-time lowcost patient monitoring systemis introduced. The developedsystem produces liveparameters that show theanalysis of the readings forthe abnormalities. If thesystem detects any of theabnormalities, it will alertthe doctor and hospital bysending email and SMS message.The system also implements anapplication based on Androidplatform for doctors and forpatients. The doctor

application provide onlineinformation about the patientstatus, patient history andprovides new reading every 30minutes. This system providessome sort of freedom to bothdoctor and patient since theresults are shown at real-timeand the doctor will be alertedon his/her Android device incase of abnormality detection.This system founds to be morehelpful at the time of naturalcalamities where there arenumerous patients needing ICU.As a future work, the systemcan be enhanced more usingnormal mobiles instead ofusing android mobiles.

REFERENCES:

[1]Jayalakshmi R, MahalingamD, Rajeswari A “PersonalSafety Triggering System OnAndroid Mobile Platform”,journal of Health & MedicalInformatics, Vol4. Issue 2,pp. 1-6, 2013. [2] Ashwini R. Jadhav, Prof.Dr. Virendra V. Shete“Android Based HealthMonitoring”, InternationalJournal of Advanced Researchin Electrical, Electronics andInstrumentation Engineering ,Vol. 3, Issue 4, April 2014.

[3] Ashokkumar Ramalingam,Prabhu Dorairaj, SaranyaRamamoorthy “ Advanced HealthMonitoring and Receiving UsingSmartphone in GlobalNetworks”, InternationalJournal on Recent andInnovation Trends in Computingand Communication , Volume: 2Issue: 6 . [4] Smart Elderly HomeMonitoring System with anAndroid Phone, InternationalJournal of Smart Home Vol. 7,No. 3, May, 2013. [5] Journal of Control andAutomation,Vol.2, No.3,September 2009.[6] R. Fensli, E. Gunnarson,and O. Hejlesen, “A WirelessECG System for ContinuousEvent Recording andCommunication to a ClinicalAlarm Station,” 26th AnnualInternational Conference ofthe IEEE Engineering inMedicine and Biology Society,San Francisco, USA; pp 2208-11, 2004[7] W. Cheng , Y. Ming-Feng.,C. Kuang-Chiung, L. Ren-Guey,"Real-time ECG telemonitoringsystem with mobile phoneplatform", Measurement, Volume41, Issue4,pp.463-470,2008.