IOT Based Health Monitoring System Using Arduino and Generic ESP8266

The integration of Internet of Things (IoT) technologies into healthcare has revolutionized patient monitoring systems This paper presents an IoT-based patient health monitoring system utilizing Arduino and ESP8266 to provide real-time health data and enhance patient care. The system comprises a set of sensors connected to an Arduino microcontroller, which collects vital signs such as heart rate, body temperature, and blood oxygen levels. The findings indicate that the Arduino and ESP8266-based solution provides a robust, scalable, and user-friendly platform for continuous health monitoring, ultimately contributing to improved patient outcomes and efficient healthcare delivery. The system utilizes wearable devices and sensors to collect data on parameters such as heart rate, temperature, and blood pressure, which are transmitted to a cloud platform for analysis This enables healthcare providers to access patient information remotely, facilitating timely interventions and personalized care By promoting patient engagement through mobile applications, the system empowers individuals to take an active role in managing their health Overall, the IoT-based monitoring system aims to improve health outcomes, reduce the need for frequent hospital visits, and create a more efficient healthcare environment. Keywords- Internet of Things(IoT), Arduino microcontroller, ESP8266 Wi-Fi module, Health Monitoring sensor, real time data transmission, remote patient monitoring, wireless sensor network, cloud-based health tracking.

Authors

Institutions

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-19
DOI
https://doi.org/10.55041/ijsrem45019
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IOT Based Health Monitoring System Using Arduino and Generic ESP8266

A Saw
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT-based Smart Home Systems
article

IOT Based Health Monitoring System Using Arduino and Generic ESP8266

A Saw
article en

Abstract

The integration of Internet of Things (IoT) technologies into healthcare has revolutionized patient monitoring systems This paper presents an IoT-based patient health monitoring system utilizing Arduino and ESP8266 to provide real-time health data and enhance patient care. The system comprises a set of sensors connected to an Arduino microcontroller, which collects vital signs such as heart rate, body temperature, and blood oxygen levels. The findings indicate that the Arduino and ESP8266-based solution provides a robust, scalable, and user-friendly platform for continuous health monitoring, ultimately contributing to improved patient outcomes and efficient healthcare delivery. The system utilizes wearable devices and sensors to collect data on parameters such as heart rate, temperature, and blood pressure, which are transmitted to a cloud platform for analysis This enables healthcare providers to access patient information remotely, facilitating timely interventions and personalized care By promoting patient engagement through mobile applications, the system empowers individuals to take an active role in managing their health Overall, the IoT-based monitoring system aims to improve health outcomes, reduce the need for frequent hospital visits, and create a more efficient healthcare environment. Keywords- Internet of Things(IoT), Arduino microcontroller, ESP8266 Wi-Fi module, Health Monitoring sensor, real time data transmission, remote patient monitoring, wireless sensor network, cloud-based health tracking.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
ICAR - Central Institute for Research on Cotton Technology (IN)
Openalex Percentile: Top 94%
IoT-based Smart Home Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.