SMART PRENATAL HEALTH CARE MONITORING SYSTEM FOR PREGNANCY WOMEN IN RURAL AREAS USING IOT

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072

SMART PRENATAL HEALTH CARE MONITORING SYSTEM FOR PREGNANCY WOMEN IN RURAL AREAS USING

IOT

Sachin M N1 , Gagandeep B2 , Nagaraja S Aralikatti3 , Narendra B O4 , Naseer R5

1,2,3,4 Student, Dept. of CSE, BIET 5Asst. Professor, Dept. of CSE, BIET ***

Abstract In the developing countries most of the peoples are lived in the rural areas and medical systems are not available for sharing information. and now a days, Corona virus is a most dangerous virus in the World. We followed Covid 19 Protocol’s, but the cases are Going to High Many death Case’s we seeing. In this Pandemic Situation the Pregnancy Women are lived In rural areas theybcan’t go to city and take the treatment, The pregnant women are unable to do their normal checkups at the starting time of pregnancy time and this cause higher death count in case of newborn and parental in the rural areas as well as in urban also. Due to this situation, the women are facing an immense medical issue. Accelerometer sensor is designed to measure the count of kicks by unborn child and it is transfer into the ARDUINO UNO controller. Motion of the foetal and some important parameters such as Blood pressure, Heartbeat rate, count of unborn child's kicks and temperature for the women are measured using various types of sensors. The measured parameters are transmitted by way of IOT and it is displayed in the mobile phone. This system is highly sensitive and light weight even for small motion, so it is preferred as a home monitoring device.

Key Words: Parental, ARDUINO UNO, Accelerometer, Foetal.

1.INTRODUCTION

Duetounavailabilityofhospitalsinruralareasandlongerdistancerequiredtotravelfromruralareastocities, Ruralareas people are not really conscious about their health, for small injuries and routine check ups. Due to this pregnant lady from rural areasavoidstheirregularcheck upsattheinitialstageofpregnancyandalsoforregular check upsforthepregnancy women regular check ups will help to reduce abnormal children birth and fetal mortality rate. During Pregnancy, every trimester will be considered of 14 weeks and overall pregnancy length willbe of 42 weeks. During this period, there is possibility of various complication due to maternal sepsis, bleeding andvariation in blood pressure which may results in gestational diabetesand weight gain during pregnancy. During pregnancy few women mayfacethe problems ofhigh blood pressurewhichiscalledasgestationalhypertension whichcanimpactonthemother’skidneysandotherorgans.Everyday, pregnancywomenwilldiefrompreventablecausesrelatedtopregnancyandchildbirth.99%ofallmaternaldeathsoccurin thedevelopingcountries.Maternalmortalityishigherinwomenlivingintheruralareasandamongpoorcommunities.Most ofthebirthinruralareasoccurathome.Womenintheruralareaslackofknowledgeaboutimportanceofpropermedication. ThoughIndiahasmadeanappreciableprogressinimprovingtheoverallhealthstatusofit.Weare using latestsensors for measuringparameters whichwillnotharmboththefetalandmaternal.

2.LITERATURE SURVEY SUMMARY

It is the comparison of various authors who worked on the IOT and also have tried various checkups on pregnancywomen usingIOTsystems.

[1]S.ShinyAmalaandandDr.S.Mythili“IoTBasedHealthCareMonitoringSystemforRuralPregnantWomen”,2004.

[2]A.HaldoraiandA.Ramu “Securityandchannelnoisemanagementincognitiveradionetworks”,2005.

[3]D.Devikanniga,A.Ramu,andA.Haldorai,“EfficientDiagnosis ofLiverDiseaseusingSupportVectorMachineOptimized withCrowsSearchAlgorithm”,2005.

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072

[4]R. Arulmurugan and H. Anandakumar , “Early Detection of Lung Cancer Using Wavelet Feature Descripton andFeed ForwardBackPropagationNeuralNetworksClassifier”.

3.EXISTING SYSTEM

Intheexistingmethodultrasoundscanofthepregnantwomenisperformedandalongwiththatsomevitalsignsismeasured. The main drawback of the existing system is that the ultrasound scanning is expensive. In order to overcome this an accelerometersensorisusedtomeasurethekickcountofthefetus andthevitalparameterssuchastemperatureandheart beatismeasuredandtheaimistodevelopacompactassistdeviceforruralpregnantwomeninordertoaccessthevitalsigns ofmaternalandfetuswithlowcostusingrecentsensorsandinternetofthingsforpersonalizedcare.

4.PRAPOSED SOLUTION

InthissystemtheArduinoisusedtoattachwiththreesensorsnamelymemessensorandheartbeatsensor.Thisactsakinto amicrocontrollerwhichcollectsandreadsvaluesfromthesensorthroughthephysicalconnectionofinputandoutputpinsof theboard.WiFimoduleareattachedinthissystemthusithelpstotakereadinganddisplayonyourmobile.

5.OBJECTIVES

1.ToConstruct the hardware model for measuring various health problems in pregnancy women and the fetus.2.To deploy thevariousparameterstothecloud.

3.Todeveloptheandroid basedUIforinteractionwithcloud.

6.METHODOLOGY DIAGRAM

Fig 1: Methodologydiagram

InthissystemtheArduinoisusedtoattachwiththreesensorsnamelymemessensorandheartbeatsensor,Bloodpressure sensor.Thisactsakintoamicrocontrollerwhichcollectsandreadsvaluesfromthesensorthroughthephysicalconnectionof inputandoutputpinsoftheboard.WiFimodule(ESP8266 12E)areattachedinthissystemthusithelpstotakereadingand displayonyourmobile.TheInternetofthingsprogressivelyallowtoincorporatedevicecapableofconnectingtotheinternet andendowwithinformationontheconditionofhealth ofpregnant womenandprovideinformationinreal timetodoctors

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who assist it. This data can be retrieved or viewed in the form a mobile at the instant of time with secured authentication. This data will be kept and stored as a backup for any kind of future reference. The main source of pregnant women health caresystematpresentstageisthatwhenpregnantwomenisattherestposition.

7.RESULTS

Fig 2: Prototypemodelcontainingsensors

TheabovedevelopedprototypemodelisgoingtodetectthefetusmomentsandkicksWiththehelpof accelerometersensor and gyroscopic, and also detect the heart beat and temperature of the mother using heart beat sensor and temperature sensor.Theresultsfromtheabovesensorsaretransferredtothecloud,through thesereadingswecanobtainthenumberof fetalkicksandit’sgraph,alsothetemperatureofthemotheralong withtheheartbeat.Fromtheseresultswecanavoidthe fetalandmotherdeath’sinruralareasandimprovethehealthmonitoringsystemintheruralareas.

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072

8.CONCLUSION

Inthisproject,theresultsobtainedfromthedifferentsensorsdeviceswillbecomparedandanalysedindetailthe valuesare recorded using the sensors and processed using the microcontroller for emergency send the message to the doctor. The systemislowcost,self monitoringdeviceandusedinremoteareasefficiently.Anewarchitecture ofIOThealthmonitoring whichprovidessecurityatthecommunicationlinkaswellasbyprovidinguserauthentication.

9.REFERANCE

[1]JimmyLeiBa,JamieRyanKiros,andGeoffreyEHinton.Layernormalization.arXivpreprintarXiv:1607.06450,2016.

[2] Woosung Choi, Minseok Kim, Jaehwa Chung, Daewon Lee, and Soonyoung Jung. Investigating u nets with various intermediate blocks for spectrogram based singing voice separation. In ISMIR, editor, 21th International Society for Music InformationRetrievalConference,OCTOBER2020.

[3] Woosung Choi, Minseok Kim, Jaehwa Chung, and Soonyoung Jung. Lasaft: Latent source attentive frequency transformationforconditionedsourceseparation.InICASSP2021 2021IEEEInternationalConferenceonAcoustics,Speech andSignalProcessing(ICASSP).

[4] .YannN.Dauphin,AngelaFan,MichaelAuli,andDavidGrangier.Languagemodelingwithgatedconvolutional networks. InProceedingsoftheInterntionalConferenceonMachineLearning,2017.