Paper Title

Smart Healthcare: AI-Driven Wearable and Wireless Technologies for Advanced Patient Monitoring

Authors

Dr.Shaik.Mahaboob Basha , M.Venkata Chaakrika , P.Nithin , C.Praneeth

Keywords

MEMS sensor ,LCD display,GPS module,GSM module and buzzer

Abstract

The rapid advancement of wearable and wireless technologies, combined with the growing capabilities of artificial intelligence (AI), is transforming the landscape of healthcare monitoring.This project develops a health monitoring system using Raspberry Pi, integrating sensors and communication modules to track vital parameters and enhance patient care. It employs a heartbeat sensor for heart rate, a temperature sensor for body temperature fluctuations, a respiratory sensor for breathing patterns, and a MEMS sensor to detect falls. The system features an LCD display for real-time visual feedback to patients and caregivers, while logged sensor data enables healthcare professionals to monitor health trends remotely. A GPS module provides location tracking, and a GSM module sends alerts during emergencies, complemented by a buzzer for audible alarms, ensuring timely responses and improved safety management

How To Cite

"Smart Healthcare: AI-Driven Wearable and Wireless Technologies for Advanced Patient Monitoring", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.12, Issue 4, page no.a943-a949, April-2025, Available :https://tijer.org/TIJER/papers/TIJER2504132.pdf

Issue

Volume 12 Issue 4, April-2025

Pages : a943-a949

Other Publication Details

Paper Reg. ID: TIJER_157608

Published Paper Id: TIJER2504132

Downloads: 000295

Research Area: Science and Technology

Country: Tirupati, ANDHRA PRADESH, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2504132

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2504132

DOI: https://doi.org/10.56975/tijer.v12i4.157608

About Publisher

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

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