Real‑Time Smart Health Alert System

G. Hemanth Kumar Yadav

, Greeshma Kanama

, Namitha Tamidala

Asma Anjum Shaik

and Hari Prakash Mangala

Department of CSE (AI & ML), Srinivasa Ramanujan Institute of Technology, Anantapur, India

Computer Science and Engineering (Data Science), Srinivasa Ramanujan Institute of Technology, Anantapur, India

Keywords: Security, Notification, Microcontroller, Intelligent Processing, Smart Connectivity.

Abstract: This Health Tracking System is designed to perform continuous real-time tracking of some critical health

parameters using various sensors and cutting-edge technology. It features a Heartbeat Sensor to measure heart

rate, a Pulse Oximeter to assess blood oxygen levels, and a MEMS sensor intended to detect falls. The

obtained data is processed by the sensors, linked to an Arduino UNO for clear and efficient monitoring. A

NodeMCU module is used for remote accessibility and transferring the recorded information to the

ThingSpeak platform, enabling both users and healthcare members to check health indicators from anywhere

in the world. In addition to basic monitoring, this system adds critical safety features for fault-tolerance. If

the readings are unusual, such as showing an irregular heart rate or low levels of oxygen, an alert system

activates. Automatic messages are sent through a GSM module to numbers that have already been saved.

There’s also a buzzer that provides audio feedback when it’s needed, and a manual emergency button that

allows the user to request assistance. This system aims to provide timely health tracking, and response to

critical situations, thereby ensuring user safety and good health.

1 INTRODUCTION

The Health Tracking System is a futuristic solution

to track significant health parameters in real-time

which helps in early intervention, especially in

conditions that demand immediate medical

intervention (Azimi, et al. 2017). It uses different

sensors Heartbeat, Mems sensor, Pulse oximeter and

so on and it can monitor heart rate, oxygen and body

movements all the time (Parekh, et al.2017).

Development of immersive experiences and enabling

technology-driven methodologies for early health

condition screening, useful in early diagnosis and

helping to mitigate critical health risks (Azimi, et al.

2017)(Pardeshi, et al. 2017)(Lavanya G, et al. 2017).

An Arduino UNO lies at the heart of the system,

which processes the data collected, ensuring

necessary and efficient management. To expand its

features, a Node MCU module is added which helps

to send the data to Thing Speak platform so that

doctors or family members can access it remotely

(Lokeswari, et al. )(Abdul, et al. ).

The Health Tacking System is designed for

monitoring important health parameters, while being

able to enable a fast response in an emergency. This

allows for real-time health data reading coupled with

remote access to this information, facilitating

continuous monitoring of the patient’s health (Abdul,

et al. ). The system is powered by intelligent sensors

including the Pulse Oximeter and Heartbeat Sensor

that measure vital parameters accurately, every time,

enabling you to detect any anomaly in the earliest

stage (Parekh, et al.2017 ). Additionally, the MEMS

sensor also improves safety, as it can detect falls,

making it particularly advantageous for older women

or those with a higher risk. With GSM-based alert

notifications and a manual emergency button, the

system is designed to improve its emergency

response capabilities, enabling users to get help

rapidly whenever possible (Hu Y, et al.). The

amalgamation of predictive observation and instant

treatment helps in not only ensuring safety but also

preventive healthcare (Azimi, et al. 2017)(Pardeshi,

et al. 2017).

2 RELATED WORKS

The Health Tracking System is an concept created to

facilitate an easy and simpler way of tracking human

Yadav, G. H. K., Kanama, G., Tamidala, N., Shaik, A. A. and Mangala, H. P.

Real-Time Smart Health Alert System.

DOI: 10.5220/0013891800004919

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies (ICRDICCT‘25 2025) - Volume 3, pages

67-71

ISBN: 978-989-758-777-1

health for people living in the remote corners of the

globe where finding a medical professional is not

possible. Recent developments in Machine Learning

and Internet of Things (IoT) technologies have the

potential to open up new opportunities for continuous

health monitoring and real-time analysis. The LCD

used is a 16x2 LCD which shows the measure values.

It is also containing a pulse oximeter for pulse rate

and blood pressure measurement. In order to access

the data remotely, an ESP8266 Wi-Fi module is used

to send the captured data towards IoT platforms such

as Thing Speak or All Things Talk, where it is logged

and provides us with the analysis. It is a very simple

system to use and does not require much technical

knowledge. Because it can host multiple people under

one account, doctors, specialists or family can track

a person’s health status over time without having to

schedule each individual’s visits. It brings medical

assistance as close as possible and opens up medical

facilities to really residents of these very remote

industries.

Healthcare has become a global problem because,

for one reason or another, many remote and rural

underdeveloped areas of the world still do not have

access to these resources (including medical). The use

of Internet of Things (IoT) in our system makes the

patient health tracking mechanism continuous just by

adding the appropriate medical data collection

wearable sensors. The system prioritizes relevant

information for prompt notification of physicians by

monitoring which patients suffer from urgent need for

treatment and only writing summaries of relevant

patient records, which are stored in the cloud for in-

depth review when necessary. These systems allow

health workers to monitor and treat patient illnesses

remotely without needing to see patients in person, all

while improving the quality of care in resource-poor

settings.

3 PROPOSED METHOD

Health Tracking System can be described as

constant monitoring of health parameters using

sensors and modern technology. It has a MEMS

sensor to detect fell, Pulse Oximeter for monitoring

oxygen saturation level, and Heartbeat Sensor for

measuring heart rate. The microcontroller obtains the

data from all the sensors via Arduino and takes care

of the data for the proper and timely monitoring. A

Node MCU module sends the collected data to the

Thing Speak to allow a people, who can observer the

real time data from any place through Internet. The

system ensures the continuous monitoring of the

physical condition and also provides instant alerts by

employing the technology of IoT, thus improving the

responsiveness of the critical health condition. The

system is packed with extra safety mechanisms to

alert the user and their contacts if there’s a problem.

Now what if he encountered any abnormal parameter

then with the help of GSM module system

automatically send a notification to pre-registered

contacts. This helps to set off timely alerts for

medical professionals which can speed up

emergency treatments and secure the safety of

patients. It also has a manual emergency button to

summon help, and a buzzer to tell you when thathelp

is needed. So, it combines real- time health tracking

with an effective alert system, ensuring safety and

improves the quality of life.

3.1 Block Diagram

Figure 1 shows the block diagram of an Arduino-

based health monitoring system integrated with IoT.

The system consists of various sensors such as a

heartbeat sensor, MEMS sensor, pulse oximeter, and

a push button, all connected to the Arduino. The

Arduino communicates with external modules

including a NodeMCU (for ThingSpeak cloud

connectivity), an LCD for display, a buzzer for alerts,

and a GSM module for messaging. The entire system

is powered by a power supply.

Figure 1: Block Diagram of Arduino-Based Health

Monitoring System with IoT Integration.

4 METHODOLOGY

Hardware Requirements for the project:

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COMMUNICATION, AND COMPUTING TECHNOLOGIES

4.1 Arduino Mega

The data collected from two or more tracking sensors

is processed by the primary microcontroller, which is

an Arduino UNO. The Arduino UNO is the data-

filtering and conversion center that really made the

project effective due to its versatility in managing

digital and analog inputs and outputs converting

sensor readings into meaningful information and

controlling additional components. The real-time data

local output is displayed using an LCD, and an

emergency GSM module is added. The Arduino UNO

is used to integrate and manage all physical

components effectively and is compatible with

different types of sensors so it is designed to work

smoothly as well. The Arduino UNO not only collects

data and processes it but also plays an important role

in communication between components of your

system, too. Finally, a small processing device make

it a fluid operate health tracking system with real

time’s tracking, and reliable communication.

4.2 Heartbeat Sensor

The Heartbeat Sensor is prominent and tracks the

heart rate continuously, providing continuous values

for heart data and useful health information with

respect to heart. It works by sensing changes in blood

frequency with every stroke volume of the heart,

usually at the fingertip or earlobe. The sensor works

by using infrared light to detect changes in light

absorption due to blood flow; these are then

converted into electrical signals, which are processed

with the help of Arduino UNO.

The sensor does more than simply track heart rate;

it is also integral to tracking potential health

concerns. If the heart rate is detected to be not normal

(too high or too low), the system can automatically

trigger the GSM module and send the alerts to the

predefined contacts like healthcaring unit or family.

The Heartbeat sensors increases the system's

capability to sense early warning signs and enable

timely medical assistance by providing real time

monitoring and alerts.

4.3 MEMS Sensor

Such a sensor is an integral part of this health

tracking system in detecting falls and improving

safety. This measures dynamic acceleration along

three axes, an indication of changes in movement and

orientation. Something into sudden acceleration, a

shift like, a fall, then the sensor stores the data and

tells the system to react appropriately. It accurately

tracks standing, walking, exercise and movements

enabling timely notifications when required.

The ADXL345 sensor, on the other hand,

constantly analyzes the user's movements and plays

a vital role in fall detection. Communicates with the

Arduino UNO and processes incoming data,

constantly checking to see if a fall has occurred. In

case a fall is detected, it raises an alarm and sends a

notification to a pre-registered contact via GSM.

This can be a great help for users with medical

conditions or for high- risk environments, where help

is needed sooner rather than later.

4.4 SPO2 Sensor

This sensor is a vital part of this health tracking

system, designed to measure blood oxygen saturation

(SpO2), a crucial role for health management. This

real-time monitoring helps assess oxygen circulation

in the body, enabling early detection of potential

respiratory concerns.

In the event that the oxygen saturation falls below

an acceptable level, the GSM module alerts the

nominated contact or medical service. This is

especially helpful for those who have respiratory

issues, to ensure they are immediately attended to in

the event their oxygen levels fluctuate. The Pulse

Oximeter sensor's capability to offer continuous and

reliable SpO2 data complements the system's ability

to facilitate proactive healthcare and timely

interventions.

4.5 Push Button

The push button is an important emergency tool that

allows users to call for help when needed. When the

user becomes sick or faces a health-related crisis, the

push of a button, is a simple and quick method to

summon assistance. Built with user- friendly in mind,

it is easy to use, even for those with little technical

experience. When activated, the system immediately

sends an alert to contacts previously entered into the

system, including family members, healthcare

providers, or caregivers. This allows users to take

charge in emergencies where talking is not an option,

thereby improving safety.

Along with the automatic sensing of abnormal

health parameters, having a push button is an

essential combo of the system that never fails to

detect if the automated system fails to send an alert.

Overall, the inclusion of such emergency features

serves to bolster the system's potential, offering

prompt medical intervention and improved security

for users.

Real-Time Smart Health Alert System

4.6 GSM

The GSM module is vital to the communication

between health tracking system and emergency

contacts. If an abnormal HR or SpO2 is detected, the

module will automatically send warning messages to

the predefined phone numbers to notify the caregivers

and medical specialists in real time. This means that

users can get medical attention in a timely manner,

and without needing to make a phone call

themselves, in cases where they might not be able to

do so. Although the system uses IoT to send health

data to Thing Speak, the GSM ensures that the

required information will still be sent through text

messages. This becomes a vital module for health

tracking and emergency reciprocation, as it improves

the reliability of the health systems, be it used for

emergency notifications or routine updates.

4.7 Nodemcu (ESP8266)

Node MCU, especially in obtain to health data is an

essential part of this health tracking system. It is an

intermediary link between Arduino UNO which

sends the sensor readings to Thing Speak based on

cloud where the users and health-care professionals

can monitor health parameters in real time. An

internal Wi-Fi module (Node MCU) allows the

system to connect to the internet and forward key

health information (heart rate, oxygen levels and fall

detection results,) for remote analysis. This allows for

constantly monitoring the patients, even if there are

no doctors around. Apart from data transmission,

Node MCU also help increase system efficiency

through remote monitoring and control features. With

IoT integration, users can securely access their health

records from anywhere, enabling timely intervention

when needed. The module is capable of interfacing

with multiple sensors simultaneously, making it an

ideal choice for applications that involve real-time

sensor data processing. The versatility and simplicity

of wireless technology and influencers on project

contributions comes to setup the system in more

operational and feasible machine as this can improve

and enhance the health data which is useful to patients

through continuous, real-time information.

4.8 LCD

In this project, LCD screen is used as display

interface to visualise the health parameters to the

user in real-time. The system's screen uses LCD

technology, which only displays accurate health

readings, enabling users to track their health

effortlessly without any need to rely on other devices

or different software. This becomes especially useful

for someone who lives in a home care setting or who

stays far away from medical professionals. More than

just using the screen, by constantly providing the user

updates, the LCD greatly makes the system easier to

use as a whole. It also decreases users’ reliance on

alerts or other communications sound by external

devices, allowing them to check their health as

needed. When LCD headlights indicate the system is

working or when potentially hazardous LCDs

indicate a health issue detected by the system.

4.9 Buzzer

Here comes the buzzer, which in this project is the

alarm that plays a significant role in alerting users

with sound notifications whenever there is any health

risk or system interaction. It Buzzer emits loud sound

when it finds Irregular Heart rate, Low SpO2 or any

abnormal body condition. This is particularly helpful

in high- stress or emergency situations where the user

may be unable to even glance at the LCD screen or

misses a mobile notification.

These reassuring sounds confirm that the distress

signal has been triggered, and that assistance is on

the way. The addition of a buzzer elevates the

project’s effectiveness in emergencies, assuring that

critical alerts stand out and lead to quick action being

taken.

4.9.1 Advantages and Applications

Advantages

• Real-time

• Affordability

• Performance

• Cost-Effectiveness

• Ease of Access

• User-Friendliness

• Expandability

• Smart Automation

• Mobility

• Live Tracking

Applications

• Virtual Healthcare

• Connected Health

• Wellness Monitoring

• Smart Wearables

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COMMUNICATION, AND COMPUTING TECHNOLOGIES

• Distant Patient Care

• Health Status Tracking

• Accident Detection

• Urgent Medical Alert

• Life Sign Monitoring

• Rapid Emergency Assistance

5 RESULTS

Figure 2 illustrates the Thing Speak Health

Monitoring Dashboard where real-time sensor data is

displayed. Figure 3 shows the emergency alerts

received from the user in critical situations. Figure 4

presents the complete view of the assembled health

monitoring kit.

Figure 2: ThingSpeak Health Monitoring Dashboard.

Figure 3: Emergency Alerts Received from User.

Figure 4: Total Kit.

6 CONCLUSIONS

The system proposed so far in this paper is an

effective Health tracking System which makes use of

the high-end sensing and communication

technologies to monitor and display the certain

important health parameters continuously. The

system includes several components as integrated so

that physiological data (e.g., cardiovascular activity)

and motion-related events can be monitored with

precision. The microcontroller processes the data

acquired from the sensors and the accessed data is

sent to the computer server through an internet-

enabled module; enabling the users and the medical

practitioners to gain access to real-time health data at

any moment and from anywhere via an associated

online portal. It encourages preventive care,

requiring early medical treatment

REFERENCES

Abdul Aziz Nur Shima, Kassim Murizah, Yusof Mat Ikram,

and Ruhani Ab Rahman. "A Personal Health Care

Monitoring System for Diabetic Patients Using IoT

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Azimi, I., Anzanpour, A., Rahmani, A. M., Liljeberg, P., &

Salakoski, T. (2017). A medical warning system based

on Internet of Things using fog computing.

Hu Y., Development of a Wireless Sensor Acquisition

System for Remote Nursing Applications.

Lavanya G., Divyabharathi J., and Lavanya S., (2017) "IoT-

Based Remote Prescription and Smart Home

Healthcare System."

Lokeswari, Y.V., & Kirtana, R.N. "An IoT based remote

HRV Monitoring System for Hypertensive Patients."

Pardeshi, V., Sagar, S., Murmurwar, S., & Hage, P. (2017).

A Healthcare system for IoT Application: Machine

Learning approach. International Conference on

Innovative Mechanisms for Industry Applications

(ICIMIA).

Parekh, Dhvani. (2017) "Development of Sensors for

Monitoring Heart Rate, Blood Pressure, and Body

Temperature in On-Call Systems."

Real-Time Smart Health Alert System