iDDS 2.0: An IoT-enabled Energy Efficient and Fast Drug Delivery System for Epilepsy

Md Abu Sayeed, Abu Shahed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The development of wearable or implantable treatments for epilepsy is currently the focus of a sizeable portion of biomedical research. In this paper, an Inter of Things (IoT) enabled synchronous seizure control system has been presented. The proposed system is composed of three parts: a seizure detecting device, a drug delivery unit, and an IoT unit. A high-performance pulse exclusion mechanism (PEM) and a machine learning classifier analyze brain signals and identify the occurrence of a seizure. An electromagnetically actuated double reservoir micropump (EADRM) supplies drugs into the targeted area. The IoT unit allows patients' data to be transmitted and accessed from anywhere. The system was validated using Simulink and the finding shows that proposed solution significantly lowers latency and power consumption and advances consumer electronics by contributing to the smart healthcare system.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Consumer Electronics, ICCE 2023
ISBN (Electronic)9781665491303
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Consumer Electronics, ICCE 2023 - Las Vegas, United States
Duration: 6 Jan 20238 Jan 2023

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume2023-January
ISSN (Print)0747-668X

Conference

Conference2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Country/TerritoryUnited States
CityLas Vegas
Period6/01/238/01/23

Keywords

  • Electroencephalography (EEG)
  • Energy Efficiency
  • Fast Delivery
  • Pulse Exclusion Mechanism (PEM)
  • System Latency

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