Arduino-Powered Remote Monitoring System for Real-Time Heart Rate Detection via Bluetooth

With the increasing need for continuous health monitoring, this study presents the development of an Arduinopowered remote monitoring system for real-time heart rate detection via Bluetooth. The system uses an Arduino microcontroller connected to a pulse sensor to measure heart rate, with data wirelessly transmitted via Bluetooth to a remote device, enabling continuous monitoring without direct patient interaction. Initial self-monitoring trials showed consistent heart rate detection within the normal range of 62-70 beats per minute (BPM), suggesting proper functionality for preliminary use. The system also maintained a stable Bluetooth connection with no noticeable data loss. This cost-effective and efficient system is a valuable tool for telemedicine and remote patient care. Future enhancements may include integrating advanced microcontrollers and developing a more sophisticated mobile app with expanded health monitoring features.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-09-03
DOI
https://doi.org/10.22214/ijraset.2024.64133
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Arduino-Powered Remote Monitoring System for Real-Time Heart Rate Detection via Bluetooth

Veer Chandra Kamati
International Journal for Research in Applied Science and Engineering Technology
Non-Invasive Vital Sign Monitoring
article

Arduino-Powered Remote Monitoring System for Real-Time Heart Rate Detection via Bluetooth

Veer Chandra Kamati
article en

Abstract

With the increasing need for continuous health monitoring, this study presents the development of an Arduinopowered remote monitoring system for real-time heart rate detection via Bluetooth. The system uses an Arduino microcontroller connected to a pulse sensor to measure heart rate, with data wirelessly transmitted via Bluetooth to a remote device, enabling continuous monitoring without direct patient interaction. Initial self-monitoring trials showed consistent heart rate detection within the normal range of 62-70 beats per minute (BPM), suggesting proper functionality for preliminary use. The system also maintained a stable Bluetooth connection with no noticeable data loss. This cost-effective and efficient system is a valuable tool for telemedicine and remote patient care. Future enhancements may include integrating advanced microcontrollers and developing a more sophisticated mobile app with expanded health monitoring features.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(9)
Openalex Percentile: Top 87%
Non-Invasive Vital Sign Monitoring
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.