VLSI Design for Human Health Monitoring and Medical Alert System Based on FPGA, MEMS and Special Sensor Network

Submission Deadline-30th July 2024
June 2024 Issue : Publication Fee: 30$ USD Submit Now
Submission Deadline-20th July 2024
Special Issue of Education: Publication Fee: 30$ USD Submit Now

International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue V, May 2018 | ISSN 2321–2705

VLSI Design for Human Health Monitoring and Medical Alert System Based on FPGA, MEMS and Special Sensor Network

 Prof Sachin, Shefali, Srilaxmi, Teena

IJRISS Call for paper

 Department of Electronics and Communication, Alva’s Institute of Engineering and Technology, Mijar, Moodbidri, Mangaluru, Karnataka, India

Abstract: The main aim of this paper is to monitor the health conditions of elders and patients. The system checks the health condition of one through smart sensor network, MEMS module and GPS/GSM technology. The system monitors the health condition of the human being daily. The interface used is user-friendly it monitors the health conditions of a human being. Also it sends information to the nearby hospital if something goes wrong with the patient. This device can be worn by anyone as it is light weight or compact. It also provides the exact location of the patient to his/her family which provides some relief to their family too. By this system the patient can be travel anywhere he/she wants as the system monitors the conditions each and every time. So even if something goes wrong the system informs the nearby hospitals and also to the family. Thus this device also makes the patient independent.

Keywords: GPRS- General packet radio service, GPS-Global Positioning System, GSM- Global System for Mobile, MEMS-Micro Electro Mechanical Systems.

I. INTRODUCTION

This paper is primarily used to screen and personal the physical well being states of elderly individuals or patients. Here the framework identifies the anomalous well being condition (e.g. circulatory strain, beat rate and fall identification) by utilizing the shrewd sensor system, MEMS and GPS/GSM technology. The detecting gadgets can be sorted as reduced gadget. This can be effortlessly connected to body, for example, heart beat sensor, weight sensor, accelerometer and whirligig. This gadget will watching the physical state of elderly individuals or patients in individual conditions, for example, home, working environment, and restroom has extremely significance since they may be unassisted in these areas. By and large elderly individuals or patients have constrained physical capacities and are more powerless against genuine physical harms even with minor mischances, e.g. fall. Generally falls are eccentric and certain. All things considered the fall can be early perceivable additionally we can incite the warning to crisis administrations is fundamental for snappy recuperation. Here we propose another fall location framework which can be effortlessly wearable to the general population. Likewise give both the open to wearing and low calculation overhead.