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

Md Abu Sayeed; Abu Shahed

doi:10.1109/ICCE56470.2023.10043376

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

Md Abu Sayeed
, Abu Shahed

Department of Electrical and Computer Engineering

North South University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2023 IEEE International Conference on Consumer Electronics, ICCE 2023
ISBN (Electronic)	9781665491303
DOIs	https://doi.org/10.1109/ICCE56470.2023.10043376
State	Published - 2023
Event	2023 IEEE International Conference on Consumer Electronics, ICCE 2023 - Las Vegas, United States Duration: 6 Jan 2023 → 8 Jan 2023

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume	2023-January
ISSN (Print)	0747-668X
ISSN (Electronic)	2159-1423

Conference

Conference	2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Country/Territory	United States
City	Las Vegas
Period	6/01/23 → 8/01/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

10.1109/ICCE56470.2023.10043376

Cite this

@inproceedings{0683db7893a14ab8a21e61625687b67b,

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

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.",

keywords = "Electroencephalography (EEG), Energy Efficiency, Fast Delivery, Pulse Exclusion Mechanism (PEM), System Latency",

author = "Sayeed, \{Md Abu\} and Abu Shahed",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Consumer Electronics, ICCE 2023 ; Conference date: 06-01-2023 Through 08-01-2023",

year = "2023",

doi = "10.1109/ICCE56470.2023.10043376",

language = "English",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

booktitle = "2023 IEEE International Conference on Consumer Electronics, ICCE 2023",

}

Sayeed, MA & Shahed, A 2023, iDDS 2.0: An IoT-enabled Energy Efficient and Fast Drug Delivery System for Epilepsy. in 2023 IEEE International Conference on Consumer Electronics, ICCE 2023. Digest of Technical Papers - IEEE International Conference on Consumer Electronics, vol. 2023-January, 2023 IEEE International Conference on Consumer Electronics, ICCE 2023, Las Vegas, United States, 6/01/23. https://doi.org/10.1109/ICCE56470.2023.10043376

iDDS 2.0: An IoT-enabled Energy Efficient and Fast Drug Delivery System for Epilepsy. / Sayeed, Md Abu; Shahed, Abu.
2023 IEEE International Conference on Consumer Electronics, ICCE 2023. 2023. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2023-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - iDDS 2.0

T2 - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023

AU - Sayeed, Md Abu

AU - Shahed, Abu

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Electroencephalography (EEG)

KW - Energy Efficiency

KW - Fast Delivery

KW - Pulse Exclusion Mechanism (PEM)

KW - System Latency

UR - https://www.scopus.com/pages/publications/85149113205

UR - https://www.scopus.com/pages/publications/85149113205#tab=citedBy

U2 - 10.1109/ICCE56470.2023.10043376

DO - 10.1109/ICCE56470.2023.10043376

M3 - Conference contribution

AN - SCOPUS:85149113205

T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

BT - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023

Y2 - 6 January 2023 through 8 January 2023

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this