Wireless sleep monitoring headband to identify sleep and track fatigue

Mouli Ramasamy; Sechang Oh; Vijay K. Varadan

doi:10.1117/12.2045173

16 April 2014 Wireless sleep monitoring headband to identify sleep and track fatigue

Mouli Ramasamy, Sechang Oh, Vijay K. Varadan

Proceedings Volume 9060, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2014; 90600E (2014) https://doi.org/10.1117/12.2045173
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

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.

Citation Download Citation

Mouli Ramasamy, Sechang Oh, and Vijay K. Varadan "Wireless sleep monitoring headband to identify sleep and track fatigue", Proc. SPIE 9060, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2014, 90600E (16 April 2014); https://doi.org/10.1117/12.2045173

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