Share Email Print

Proceedings Paper

Wireless sleep monitoring headband to identify sleep and track fatigue
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Detection of sleepiness and drowsiness in human beings has been a daunting task for both engineering and medical technologies. Accuracy, precision and promptness of detection have always been an issue that has to be dealt by technologists. Commonly, the rudimentary bio potential signals – ECG, EOG, EEG and EMG are used to classify and discriminate sleep from being awake. However, the potential drawbacks may be high false detections, low precision, obtrusiveness, aftermath analysis, etc. To overcome the disadvantages, this paper proposes the design of a wireless and a real time monitoring system to track sleep and detect fatigue. This concept involves the use of EOG and EEG to measure the blink rate and asses the person’s condition. In this user friendly and intuitive approach, EOG and EEG signals are obtained by the dry gold wire nano-sensors fabricated on the inner side of a flexible headband. The acquired signals are then electrically transmitted to the data processing and transmission unit, which transmits the processed data to the receiver/monitoring module through WCDMA/GSM communication. This module is equipped with a software program to process, feature extract, analyze, display and store the information. Thereby, immediate detection of a person falling asleep is made feasible and, tracking the sleep cycle continuously provides an insight about the experienced fatigue level. The novel approach of using a wireless, real time, dry sensor on a flexible substrate reduces the obtrusiveness, and techniques adopted in the electronics and software facilitates and substantial increase in efficiency, accuracy and precision.

Paper Details

Date Published: 16 April 2014
PDF: 7 pages
Proc. SPIE 9060, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2014, 90600E (16 April 2014); doi: 10.1117/12.2045173
Show Author Affiliations
Mouli Ramasamy, Univ. of Arkansas (United States)
Sechang Oh, Univ. of Arkansas (United States)
Vijay K. Varadan, Univ. of Arkansas (United States)
Pennsylvania State Univ. (United States)
Global Institute of Nanotechnology in Engineering and Medicine Inc. (United States)

Published in SPIE Proceedings Vol. 9060:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2014
Vijay K. Varadan, Editor(s)

© SPIE. Terms of Use
Back to Top