TY - GEN
T1 - IDDS
T2 - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020
AU - Sayeed, Md Abu
AU - Mohanty, Saraju P.
AU - Kougianos, Elias
AU - Zaveri, Hitten
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Epilepsy affects around 1% of the world population, necessitating wearable or implantable solutions for seizure control. In this paper, an Internet of medical things (IoMT) based unified drug delivery system (iDDS) is proposed for automatic seizure detection and control. iDDS consists of two units: a seizure detection unit and a drug delivery unit. Seizure detection is performed in real time using statistical feature extraction and a deep neural network (DNN) classifier. Once a detection is complete, the drug is injected into the target area using a piezoelectric actuated valveless double reservoir micropump. iDDS presents a unique piezoelectric actuated double-reservoir based drug delivery system for fault-tolerance as well as better drug control. The proposed system was implemented in Simulink® and Thinkspeak, which reported a sensitivity of 100% and an average latency of 1.8 sec for the selected dataset.
AB - Epilepsy affects around 1% of the world population, necessitating wearable or implantable solutions for seizure control. In this paper, an Internet of medical things (IoMT) based unified drug delivery system (iDDS) is proposed for automatic seizure detection and control. iDDS consists of two units: a seizure detection unit and a drug delivery unit. Seizure detection is performed in real time using statistical feature extraction and a deep neural network (DNN) classifier. Once a detection is complete, the drug is injected into the target area using a piezoelectric actuated valveless double reservoir micropump. iDDS presents a unique piezoelectric actuated double-reservoir based drug delivery system for fault-tolerance as well as better drug control. The proposed system was implemented in Simulink® and Thinkspeak, which reported a sensitivity of 100% and an average latency of 1.8 sec for the selected dataset.
KW - Deep neural network (DNN)
KW - Double Reservoir Micropump
KW - Drug Delivery System (DDS)
KW - Epilepsy
KW - Implantable
KW - Internet of Medical Things
KW - Seizure
KW - Smart Healthcare
UR - http://www.scopus.com/inward/record.url?scp=85082611660&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082611660&partnerID=8YFLogxK
U2 - 10.1109/ICCE46568.2020.9043143
DO - 10.1109/ICCE46568.2020.9043143
M3 - Conference contribution
AN - SCOPUS:85082611660
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Y2 - 4 January 2020 through 6 January 2020
ER -