This thesis project proposed a wireless heartbeat monitoring system based on the modern IoT techniques. The system hardware consists of Arduino and its Wi-Fi shield which collect heartbeat measurements from the heartbeat sensor to the web application via selected Wi-Fi network. A cloud database was designed and developed to store the incoming data for data processing. The system is equipped with a mobile application with a friendly design which allows the user to interact with the system in a smart way.
Self-developed Android Application
Real-time display
Data Visualization
IoT Cloud database
AIOT extension
The proposed system takes advantage of the Arduino Wi-Fi shield which make the hardware act as a single web server. And the source codes of the web application are uploaded to an independent folder of Arduino board. The system web application can be queried wirelessly by a specific URL with a Wi-Fi connection.
This system take advantage of the cloud database developed and maintained by Mongo Cloud. Compared with the projects which store the data locally or using traditional database, this system has a high expectancy. Cloud database is suitable for various IoT frameworks and AI tools. In the future, it can also update with AIoT frameworks.
Similar to many IoT healthcare system projects, the proposed system also has application to support the services and provide functions. This proposed system has the web server embedded on the hardware and the function are smarter than a lot of traditional projects. One feature on the data presentation is the echart was used to add data visualization features for this project. The data was output as different charts or diagram to help user to analyse the heartbeat results.
Android app Dev & Ops with Java
MongoDB Cloud
Arduino Programming
Data visualization with Aparche Echart
Arduino-Yun WIFI-Shield
Arduino UNO
MAX30100 sensor
SD card
Start the system mobile application by clicking the icon. In the login page, it requires
the username and password if the account is existed, otherwise the user should register a
new account. Enter the system, there is Home Page which presents the general
information of the system. In many IoT heartbeat monitoring projects, it is important to
remind the user about measurements or any updates about the application. This is
achieved by the Notification layout which is designed using a scroll down view. The
software can get the information of hardware in the Hardware Page, the connection
state, and database record. Hardware state information includes the sensor state,
microcontroller state, hardware battery. The Record Page presents the information about
the detailed record which is obtained from the system database. It can provide the
specific information with different requirements. The Account Page includes
information about the settings, the account information, and the user location.
Heartbeat/
├─ app/
│ ├─ manifests/
│ ├─ java/
│ │ ├─ com.example.heartbeat/
│ │ │ ├─ fragment/ The folder of frontend page connection
│ │ │ │ ├─ fragmentHome.java Java class for the Home fragment
│ │ │ │ ├─ fragmentHardware.java Java class for the Hardware fragment
│ │ │ │ ├─ fragmentData.java Java class for the Data fragment
│ │ │ │ ├─ fragmentRecord.java Java class for the Record fragment
│ │ │ ├─ sensor/
│ │ │ │ ├─ sensorData.java
│ │ │ ├─ setting/
│ │ │ │ ├─ setting.java
│ │ │ │ ├─ settingsAdapter.java
│ │ │ ├─ showData/
│ │ │ │ ├─ getHardwareState.java Get data from database and show them in the hardware page
│ │ │ │ ├─ getHeartbeatData.java
│ │ │ │ ├─ getRecord.java
│ │ │ ├─ user/
│ │ │ │ ├─ RegisterActivity.java The register logic
│ │ │ │ ├─ user.java
│ │ │ │ ├─ LoginActivity.java The login logic
│ │ │ ├─ home.java Home page backend code
│ │ │ ├─ MyFragment.java Fragment adaptor
│ ├─ res/
│ │ ├─ drawable/
│ │ │ ├─ icon.xml
│ │ ├─ layout/
│ │ │ ├─ activity.xml The frontend layout
│ │ ├─ mipmap/
│ │ │ ├─ icon.png Icon image
│ │ ├─ values/
│ │ │ ├─ styles.xml The colour, font,
│ ├─ assets/
│ │ ├─ echart.js Contains the project echart JavaScript
├─ Gradle Scripts/
│ ├─ build.gradle
package com.example.heartbeat;
import androidx.appcompat.app.AppCompatActivity;
import android.media.Image;
import android.os.Bundle;
import android.util.Log;
import android.text.format.DateUtils;
import android.view.View;
import android.widget.ImageView;
import android.widget.TextView;
import com.google.android.gms.tasks.OnSuccessListener;
import com.mongodb.stitch.android.core.Stitch;
import com.mongodb.stitch.android.core.StitchAppClient;
import com.mongodb.stitch.android.core.auth.StitchUser;
import com.mongodb.stitch.android.services.mongodb.remote.RemoteFindIterable;
import com.mongodb.stitch.android.services.mongodb.remote.RemoteMongoClient;
import com.mongodb.stitch.android.services.mongodb.remote.RemoteMongoCollection;
import com.mongodb.stitch.core.auth.providers.anonymous.AnonymousCredential;
import com.mongodb.stitch.core.services.mongodb.remote.RemoteInsertOneResult;
import org.bson.Document;
import java.util.*;
public class mongoDBTest extends AppCompatActivity {
//StitchAppClient stitchAppClient = null;
private ImageView mBackImageView;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.mongodb_test);
Stitch.initializeDefaultAppClient(
getResources().getString(R.string.my_app_id)
);
final StitchAppClient stitchAppClient = Stitch.getDefaultAppClient();
stitchAppClient.getAuth().loginWithCredential(new AnonymousCredential()).addOnSuccessListener(new OnSuccessListener<StitchUser>() {
@Override
public void onSuccess(final StitchUser stitchUser) {
final RemoteMongoClient mongoClient = stitchAppClient.getServiceClient(RemoteMongoClient.factory, "mongodb-atlas");
RemoteMongoCollection<Document> myCollection = mongoClient.getDatabase("test").getCollection("my_collection");
Document doc = new Document();
doc.append("time",new Date().getTime());
doc.append("user_id", stitchUser.getId());
myCollection.insertOne(doc).addOnSuccessListener(new OnSuccessListener<RemoteInsertOneResult>() {
@Override
public void onSuccess(RemoteInsertOneResult remoteInsertOneResult) {
Log.d("STITCH", "One document inserted");
}
});
final RemoteFindIterable<Document> query = myCollection.find().sort(new Document("time", -1)).limit(5);
final ArrayList<Document> result = new ArrayList<Document>();
query.into(result).addOnSuccessListener(new OnSuccessListe+++++++++++++++++++++++++++++ner<ArrayList>() {
@Override
public void onSuccess(ArrayList arrayList) {
Log.d("Query",result.toString());
String output="";
for(Document d : result){
output = output + "You opened this app: ";
// Loop through the results
output = (String) (output + DateUtils.getRelativeDateTimeString(mongoDBTest.this,
(long)d.get("time"), DateUtils.SECOND_IN_MILLIS, DateUtils.WEEK_IN_MILLIS, 0));
output = output+"nn";
}
TextView text = (TextView)findViewById(R.id.viewer);
//in your OnCreate() method
text.setText(output);
}
});
[1] N. Holter, “New Method for Heart Studies”, Annals of Noninvasive Electro
cardiology, vol. 3, no. 4, pp. 381-387, 1998.
[2] S. Akselrod, D. Gordon, F. Ubel, D. Shannon, A. Berger and R. Cohen,
“Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to
beat cardiovascular control”, Science, vol. 213, no. 4504, pp. 220-222, 1981.
[3] V. Pichot, F. Roche, J. Gaspoz, F. Enjolras, A. Antoniadis, P. Minini, F. Costes
and T. Busso, “Relation between heart rate variability and training load in middle
distance runners”, Medicine & Science in Sports & Exercise, vol. 32, no. 10, pp.
1729-1736, 2000.
[4] T. Salomi; S. Amar; S. Anurag; B. Vishal, “Sensing heartbeat and body temperature
digitally using Arduino,” in IEEE Intern. Conf. on Signal Processing, Communication,
Power and Embedded System (SCOPES), Paralakhemundi, India, Jun. 2017.
[5] Z. Zhilin, “Photoplethysmography-Based Heart Rate Monitoring in Physical
Activities via Joint Sparse Spectrum Reconstruction,” IEEE Trans. Biomedical
Engineering, vol. 62, no. 8, pp. 1902-1910, Feb. 2015.
[6] F. Mohamed, B. Mounir, and B. Mouldi, “Microcontroller Based Heart Rate
Monitor,” The International Arab Journal of Information Technology (IAJIT), Vol. 5, No.
4, Oct. 2008.
[7] T. Arulananth and B. Shilpa, "Fingertip based heartbeat monitoring system
using embedded systems", in Intern. Conf. on Electronics, Communication and
Aerospace Technology, 2017.
[8] Y. Kurzweil-Segev et al., “Remote monitoring of phasic heart rate changes
from the palm,” IEEE Trans. THz Sci. Technol., vol. 4, no. 5, pp. 618–623, Sep.
2014.
[9] K. Junhyung et al., “Capacitive Heart-Rate Sensing on Touch Screen Panel with
Laterally Interspaced Electrodes,” in Sensors, Jul. 2020.
[10] T. S. Arulananth, B. Shilpa, A. Shadi, “Fingertip based heartbeat monitoring
system using embedded systems,” in Intern. Conf. on Electronics, Communication and
Aerospace Technology (ICECA), Coimbatore, India, Dec. 2017.
[11] I.V. Mikhelson, S. Bakhtiari, T.W. Elmer, and A.V. Sahakian, “ Remote sensing of
heart rate and patterns of respiration on a stationary subject using 94-GHz
millimeter-wave interferometry ,” IEEE Trans. Biomedical Engineering, vol. 58, no. 6,
pp. 1671-1677, 2011.
[12] A. Sani, “An IoT-Based Smart Framework for a Human Heartbeat Rate
Monitoring and Control System,” in IEEE Intern. Conf. on Sensors and Applications,
Nov. 2019.
[13] R. Aritra, R. Hena, “Secured Pulse Rate Monitoring System using IoT and Cud,”
in IEEE Intern. Conf. on Emerging Frontiers in Electrical and Electronic Technologies
(ICEFEET), Paralakhemundi, Patna, India, Sep. 2020.
[14] Akanksha, Eisha, “Framework for propagating stress control message using
heartbeat based IoT remote monitoring analytics,” International journal of
electrical and computer engineering (IJECE), Vol. 10, No.5, pp.4615-4622, Oct. 2020.
[15] Z. Zhilin, “Photoplethysmography-Based Heart Rate Monitoring in Physical
Activities via Joint Sparse Spectrum Reconstruction,” IEEE Trans. Biomedical
Engineering, vol. 62, no. 8, pp. 1902-1910, Feb. 2015.
[16] A. Kahtan, T. Saed, I. Salah, A. Shadi, “Smart real-time healthcare monitoring and
tracking system using GSM/GPS technologies,” in 3rd MEC Intern. Conf. on Big Data
and Smart City (ICBDSC), Muscat, Oman, Apr. 2016.
[17] Y. Geng et al., “A Health-IoT Platform Based on the Integration of Intelligent
Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box,” IEEE Trans.
Industrial Informatics, vol. 10, no. 4, pp. 2180-2191, 2014.
[18] S. Jayanth, M. Poorvi, R Shreyas, B. Padmaja, M. Sunil, “Wearable Device to
Measure Heartbeat using IoT,” in Intern. Conf. on Inventive Systems and Control
(ICISC), Coimbatore, India, Oct. 2017.
[19] G. Pankaj, “Selecting the right IoT cloud platform,” in Intern. Conf. on Internet
of Things and Applications (IOTA), Pune, India, Jan. 2016.
[20] Z. Haikun, “Design anImplemention of Poultry Farming Information
Management System Based on Cloud Database,” Animals, Basel, Vol. 11, Oct. 2021.
[21] T. Asoke, H. Roland, “AIoT: AI meets IoT and Web in Smart Healthcare,” in
ACM Web Science Conference, Applications and Services, New York, NY, United
States Jun. 2021.
[22] L. Yu-Jin et al., “An AIoT Wearable ECG Patch with Decision Tree for Arrhythmia
Analysis,” in IEEE Intern. Conf. on Biomedical Circuits and Systems Conference
(BioCAS), Nara, Japan, Oct. 2019.
[23] P. Shekhar, “Machine Learning and IoT for Prediction and Detection of Stress,”
in Intern. Conf. on Computational Science and Its Applications (ICCSA), Trieste, Italy,
Jul. 2017.
[24] Z. Zixuan, H. Tianyiyi, Z. Minglu, S. Qiongfeng, L. Chengkuo, “Smart Triboelectric
Socks for Enabling Artificial Intelligence of Things (AIoT) Based Smart Home and
Healthcare,” in IEEE Intern. Conf. on Micro Electro Mechanical Systems (MEMS),
Vancouver, BC, Canada, Jan. 2020.
[25] N. Mzomuhle, “Chllenges in mobile bio-sensor based mHealth development,”
in Intern. Conf. on e-Health Networking, Applications and Services, Columbia, MO,
USA, Sep. 2011.
[26] T. Salomi; S. Amar; S. Anurag; B. Vishal, “Sensing heartbeat and body
temperature digitally using Arduino,” in IEEE Intern. Conf. on Signal Processing,
Communication, Power and Embedded System (SCOPES), Paralakhemundi, India, Jun.
2017.
[27] “Getting Started with Arduino UNO” [online] arduino.cc/en/Guide/ArduinoUno
Available at: https://www.arduino.cc/en/Guide/ArduinoUno [Accessed 3 May. 2021].
[28] S. S. Thomas, A. Saraswat, A. Shashwat, and V. Bharti, “Sensing heart beat and
body temperature digitally using Arduino,” in 2016 International Conference on
Signal Processing, Communication, Power and Embedded System, pp. 1721–1724,
2016,.
[29] H. Fukushima, H. Kawanaka, M.S.Bhuiyan, K. Oguri, “Estimating heart rate using
wrist-type photoplethysmography and acceleration sensor while running”, Annual
International Conference of the IEEE, pp. 2901–2904, 2012.
[30] “Interfacing MAX30100 Pulse Oximeter Sensor with Arduino” [online]
mongodb.com/cloud/atlas Available at: https:// how2electronics.com/interfacing-
max30100-pulse-oximeter-sensor-arduino/ [Accessed 11 May. 2021].
[31] J. Wan, Y. Zou, Y. Li, and J. Wang, “Reflective type blood oxygen saturation
detection system based on MAX30100,” 2017 Int. Conf. Secur. Pattern Anal. Cybern.
SPAC 2017, vol. 2018-Janua, no. 4, pp. 615–619, 2018.
[32] Z. Zhang, “Photoplethysmography-Based Heart Rate Monitoring in Physical
Activities via Joint Sparse Spectrum Reconstruction,” IEEE Trans Biomed Eng,
vol.62, no. 8, pp. 1902-1910, 2015 .
[33] “Global multi-cloud database” [online] mongodb.com/cloud/atlas Available at:
https://www.mongodb.com/cloud/atlas [Accessed 15 May. 2021].
[34] “The database for modern applications” [online] mongodb.com Available at:
https://www.mongodb.com/ [Accessed 20 May. 2021].
[35] “The database for modern applications” [online] mongodb.com Available
Available at: https://www.mongodb.com/ [Accessed 15 May. 2021].
[36] “MongoDB Compass-The easiest way to explore and manipulate your MongoDB
data” [online] mongodb.com/products/compass Available at:
https://www.mongodb.com/products/compass [Accessed 16 May. 2021].
Copyright 2020 COPYRIGHT HOLDER: AutoFun
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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