IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: June 2024

Volume 9 | Issue 6

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: AN EDGE COMPUTING PLATFORM FOR LOW-LATENCY AND LOW-WEARABLE MEDICAL DEVICES FOR EPILEPSY
Authors Name: S. K. Reshmi , Narasimma M , Thamarai Selvan A , Ruban P , Rugend S
Unique Id: IJSDR2405022
Published In: Volume 9 Issue 5, May-2024
Abstract: Epilepsy is a chronic neurological disorder with several different types of seizures, some of them characterized by involuntary recurrent convulsions, which have a great impact on the everyday lives of the patients. In fact, falls exponentially increase with age-related biological changes, which is leading to a high incidence of falls and fall-related injuries in aging societies. Several solutions have been proposed in the literature to detect this type of seizure and to monitor the patient; however, these approaches lack ergonomic issues and suitable integration with the health system. This research makes an in-depth analysis of the main factors that an epileptic detection and monitoring tool should accomplish. Furthermore, we introduce the architecture for a specific epilepsy detection and monitoring platform, fulfilling these factors. In this context, assistive devices that could help alleviate this major health problem are a social necessity. The system makes use of an Arduino controller; the accidents are determined with the help of an accelerometer sensor, a temperature sensor, a MAX30100 sensor, an emergency switch, OLED display and a GPS location and SMS to an ambulance, caregiver, or hospital using an IOT module. The fall detection method presented here is more precise, sensitive and definite system with improved user friendliness.
Keywords: Neurological disorder, Fall detection, MAX30100 sensor, IOT module, Easy access
Cite Article: "AN EDGE COMPUTING PLATFORM FOR LOW-LATENCY AND LOW-WEARABLE MEDICAL DEVICES FOR EPILEPSY ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 5, page no.173 - 177, May-2024, Available :http://www.ijsdr.org/papers/IJSDR2405022.pdf
Downloads: 000342048
Publication Details: Published Paper ID: IJSDR2405022
Registration ID:211200
Published In: Volume 9 Issue 5, May-2024
DOI (Digital Object Identifier):
Page No: 173 - 177
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner