AN EDGE COMPUTING PLATFORM FOR LOW-LATENCY AND LOW-WEARABLE MEDICAL DEVICES FOR EPILEPSY

S. K. Reshmi , Narasimma M , Thamarai Selvan A , Ruban P , Rugend S

Neurological disorder, Fall detection, MAX30100 sensor, IOT module, Easy access

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.

Published Paper   E-Certificate

"AN EDGE COMPUTING PLATFORM FOR LOW-LATENCY AND LOW-WEARABLE MEDICAL DEVICES FOR EPILEPSY ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.173 - 177, May-2024, Available :https://ijsdr.org/papers/IJSDR2405022.pdf

Volume 9 Issue 5, May-2024

Pages : 173 - 177

Paper Reg. ID: IJSDR_211200

Published Paper Id: IJSDR2405022

Downloads: 000347304

Research Area: Bio Medical Engineering 

Country: Salem, Tamilnadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2405022

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2405022

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition