scholarly journals IoT Based Remote Health Monitoring and Alert System

Author(s):  
R. Guruprasath ◽  
T. Ajith ◽  
G. Ajithkumar ◽  
A. Ajithkumar ◽  
R. Anbukumar

Since they are isolated in their later years, most people are still forgotten and powerless in medical crises. To deal with this, we've devised a potential Remote Health Monitoring and Warning System (RHMAS). Heart attacks in the elderly are linked with complications such as body temperature changes, elevated blood pressure, profuse sweating, and an abnormal cardiac rhythm, among others. Our approach is to include sophisticated sensors capable of detecting and tracking these signs in order to warn family members, kin, family practitioner, and health care in the event of an emergency. Since most gadgets for this reason are wired, a wireless interface does not obstruct the user's movement. The suggested device includes a Photo-Plethysmography (PPG) dependent pulse sensor to identify arrhythmia, a temperature sensor to continuously track their body temperature, a pressure sensor to sense blood pressure ranges, and a heartbeat sensor. If the controlled data deviates from the nominal body state, an ESP 8266 module can give a message to the next of kin. If the tracked data hits emergency thresholds, health providers can send a message to her kin as well as a buzzer to a consent user.

Hypertension ◽  
2019 ◽  
Vol 74 (Suppl_1) ◽  
Author(s):  
Nirav Shah ◽  
Clifford Fonner ◽  
Noah Manders ◽  
Rama Aysola ◽  
Sarah Sutton ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Minho Shin

As the nation’s healthcare information infrastructure continues to evolve, new technologies promise to provide readily accessible health information that can help people address personal and community health concerns. In particular, wearable and implantable medical sensors and portable computing devices present many opportunities for providing timely health information to health providers, public health professionals, and consumers. Concerns about privacy and information quality, however, may impede the development and deployment of these technologies for remote health monitoring. Patients may fail to apply sensors correctly, device can be stolen or compromised (exposing the medical data therein to a malicious party), low-cost sensors controlled by a capable attacker might generate falsified data, and sensor data sent to the server can be captured in the air by an eavesdropper; there are many opportunities for sensitive health data to be lost, forged, or exposed. In this paper, we design a framework for secure remote health-monitoring systems; we build a realistic risk model for sensor-data quality and propose a new health-monitoring architecture that is secure despite the weaknesses of common personal devices. For evaluation, we plan to implement a proof of concept for secure health monitoring.


2012 ◽  
Vol 12 (3) ◽  
pp. 566-573 ◽  
Author(s):  
Muhammad Zia Ur Rahman ◽  
Rafi Ahamed Shaik ◽  
D. V. Rama Koti Reddy

2013 ◽  
Vol 13 (9) ◽  
pp. 3276-3283 ◽  
Author(s):  
Gundlapalli Venkata Sai Karthik ◽  
Shaik Yasmin Fathima ◽  
Muhammad Zia Ur Rahman ◽  
Shaik Rafi Ahamed ◽  
Aime Lay-Ekuakille

2012 ◽  
Vol 19 (6) ◽  
pp. 10-18 ◽  
Author(s):  
Xiaohui Liang ◽  
Mrinmoy Barua ◽  
Le Chen ◽  
Rongxing Lu ◽  
Xuemin Shen ◽  
...  

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