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http://dx.doi.org/10.5369/JSST.2011.20.6.382

Real Time Drowsiness Detection by a WSN based Wearable ECG Measurement System  

Takalokastari, Tiina (Faculty of Medical Technology, University of Oulu)
Jung, Sang-Joong (Department of Electronic Engineering, Pukyong National University)
Lee, Duk-Dong (Korea Institure of Science and Technolgy Information)
Chung, Wan-Young (Department of Electronic Engineering, Pukyong National University)
Publication Information
Journal of Sensor Science and Technology / v.20, no.6, 2011 , pp. 382-387 More about this Journal
Abstract
Whether a person is feeling sleepy or reasonably awake is important safety information in many areas, such as humans operating in traffic or in heavy industry. The changes of body signals have been mostly researched by looking at electroencephalogram(EEG) signals but more and more other medical signals are being examined. In our study, an electrocardiogram(ECG) signal is measured at a sampling rate of 100 Hz and used to try to distinguish the possible differences in signal between the two states: awake and drowsy. Practical tests are conducted using a wireless sensor node connected to a wearable ECG sensor, and an ECG signal is transmitted wirelessly to a base station connected to a server PC. Through the QRS complex in the ECG analysis it is possible to obtain much information that is helpful for diagnosing different types of cardiovascular disease. A program is made with MATLAB for digital signal filtering and graphing as well as recognizing the parts of the QRS complex within the signal. Drowsiness detection is performed by evaluating the R peaks, R-R interval, interval between R and S peaks and the duration of the QRS complex..
Keywords
Wearable ECG Measurement System; Wireless Sensor Network; QRS Complex; Drowsiness Detection; R-R Interval; Interval between R and S Peaks;
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