FYP 1
Awang bin Muhammad
181033158
CLOUD STORAGE BASED HEART RATE AND OXYGEN SATURATION
(SpO2) MONITORING SYSTEM FOR REMOTE PATIENTS
SUPERVISOR :
DR. AHMAD HUSNI BIN MOHD MOHD SHAPRI
February 2022
Introduction
Measuring the value of heart rate and oxygen saturation
(SpO2) is an important method to identify the level of health.
Heart rate is a measure of how fast the heart beats, while
oxygen saturation refers to the extent to which hemoglobin is
saturated with oxygen in the blood. The global positioning
system (GPS) displays the location coordinates of the object
to be tracked. Heart rate, oxygen saturation (SpO2) and
location coordinates are three important elements that must
be present to monitor patients remotely. Health workers can
access the information through a cloud storage system.
Problem Statements
i. Difficulty of monitoring oxygen saturation (SpO2) readings
and heart rate of patients who are monitored remotely
ii. The risk of data loss if using written records, applications
and local servers
iii.There is no precise mechanism for determining the location
of patients who are monitored remotely
Objectives
i. To design the system that detect the heart rate and oxygen
saturation (SpO2) using MAX30100 Pulse Oximeter sensor
and NodeMCU ESP8266 microcontroller.
ii. To store the heart rate and oxygen saturation (SpO2) value
using cloud storage.
iii.To track the remote patient in real time using GPS tracker.
Scopes
The elements that will be used when conducting this
research are :i. Develop the microcontroller coding to control the sensor
and communication.
ii. Configure cloud storage using Thingspeak Dashboard.
iii. Setup the remote patient location using the GPS tracker.
Literature Outcomes (Related Work/Existing Method)
Project
Pulse Oximeter
With ESP8266 On
Blynk IoT App
Scope
Controller
Board
Data
Storage
Design Health
Care System
Using Rasberry
PI and ESP32
NodeMCUESP8266 NodeMCUESP32
Monitoring Heart
Cloud Storage
Rate and SpO2
Based Heart Rate
Using Thingsboard
And Oxygen
IoT Platform For
Saturation (Spo2)
Mother and Child Monitoring System
Preventive
For Remote
Healthcare
Patients
Arduino Uno
NodeMCUESP8266
No
Rasberry PI
Rasberry PI
Cloud
Access Type
App
Local Server
Local Server
Cloud
Sensor Type
MAX30100
MAX30100
MAX30100
MAX30100
No
GPS Module
(GY-GPS6MV2)
Location
Detector
No
No
Literature Outcomes (Major Reference)
[8] D. Serpanos and M. Wolf, “IoT System Architectures,” in Internet-of-Things (IoT) Systems Architectures, Algorithms, Methodologies,
Springer International Publishing, Switzerland, 2019.View at: Google Scholar
[12] M. A. A. Harun, M. M. Hossain, M. A. Bari et al., “Pulse oximetry is essential in home management of elderly COVID-19
patients,” Bangladesh Journal of Otorhinolaryngology, vol. 26, no. 1, pp. 55–67, 2020.View at: Publisher Site | Google Scholar
[13] P.Sirish Kumar, V.B.S Srilatna Indira Dutt, “The global positioning system: Popular accuracy measures”, International Conference on
Nanotechnology: Ideas, Innovation and Industries. View at : https://doi.org/10.1016/j.matpr.2020.08.380 | Sciendirect
[14] Mohamad Hariz Hasshim, Shahilah Nordin, Shipun Anuar Hamzah, Khairun Nidzam Ramli, Mohamad Nazib Adon, Mohamad Shamian
Zainal, Mohammad Sukri Mustapa, Nik Noordini Nik Abd Malik, “IoT Based Health Monitoring System for Elderly Patient”, Journal Of
Electronic Voltage And Application Vol. 1 No. 2 (2020) 27-36, View at : : http://publisher.uthm.edu.my/ojs/index.php/jeva
[15] Qunoot N. Alsahi, Ali F. Marhoon, “Design Health care system using Raspberry Pi and
ESP32”, International Journal of Computer Applications (0975 – 8887)Volume 177 – No. 36, February 2020
[16] T M Kadarina and R Priambodo, “Monitoring Heart Rate and SpO2 Using Thingsboard IoT Platform for Mother and Child Preventive
Healthcare”, International Conference on Design, Engineering and Computer Sciences 2018, IOP Conf. Series: Materials Science and
Engineering 453 (2018) 012028 doi:10.1088/1757-899X/453/1/012028
Proposed Method
- FLOWCHART -
Proposed Method
GPS
Proposed Method
Proposed Method
Hardware
NodeMCU ESP 8266
MAX30100 Pulse
Oximeter
Proposed Method
Hardware
GPS Module
(GY-GPS6MV2)
OLED Display Module
(optional)
Proposed Method- POWER SUPPLY (optional)
Hardware
Li-Po Battery
(optional)
Charger Module Board
(optional)
Expected Results
Based on the objectives, this project is expected to have these
outcomes :i. A system can detect the heart rate and oxygen saturation
(SpO2) using the MAX30100 Pulse Oximeter sensor.
ii. A system can store the heart rate and oxygen saturation
(SpO2) value using cloud storage.
iii.A system can detect the remote patient location.
Expected Results
Thank You