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Real Time Drowsiness Detection by a WSN based Wearable ECG Measurement System
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  • Real Time Drowsiness Detection by a WSN based Wearable ECG Measurement System
  • Real Time Drowsiness Detection by a WSN based Wearable ECG Measurement System
저자명
Takalokastari. Tiina,Jung. Sang-Joong,Lee. Duk-Dong,Chung. Wan-Young
간행물명
Journal of sensor science and technology
권/호정보
2011년|20권 6호|pp.382-387 (6 pages)
발행정보
한국센서학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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..