@inproceedings{e76bd76a6c484d66a5ecff446764d8f4,
title = "A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients",
abstract = "Severe hypoglycemia leverages complication in diabetes patients: e.g., it increases death rate by a six-fold. Therefore, early detection and prediction of hypoglycemic events are of utmost importance. This publication presents a prototype of a wearable hand-tremor system that detects the onset of hypoglycemic events. The results show the prototype is capable of simulating anticipated frequency and amplitude of the tremor relevant for hypoglycemic events. The initial functional performance-tests demonstrate a maximum error of 4.75\% in the detecting the tremor frequency.",
keywords = "Diabetes, Hand tremor, Hypoglycemia, Internet of Things, Wearable sensor",
author = "Hasan Abbas and Karim Zahed and Lejla Alic and Yibo Zhu and Farzan Sasangohar and Ranjana Mehta and Mark Lawley and Abbasi, \{Qammer H.\} and Qaraqe, \{Khalid A.\}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International RF and Microwave Conference, RFM 2018 ; Conference date: 17-12-2018 Through 19-12-2018",
year = "2018",
month = dec,
doi = "10.1109/RFM.2018.8846546",
language = "English",
series = "RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "182--184",
editor = "Idnin Pasya and Awang, \{Aziati Husna\} and Seman, \{Fauziahanim Che\}",
booktitle = "RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings",
address = "United States",
}