Microsleep detection of automobile drivers using electrocardiogram signal
Microsleep can happen in any situations which could lead to accidents due to the driver’s fatigue. One of the studies that have been done on observing the occurrence of microsleep is by analysing the electrocardiogram (ECG) signal. This study proposed to develop a steering wheel that extracts ECG...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | فصل الكتاب |
| اللغة: | English |
| منشور في: |
Springer Nature
2022
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://irep.iium.edu.my/97193/1/526900_1_En_18_Chapter_OnlinePDF.pdf http://irep.iium.edu.my/97193/ https://link.springer.com/book/10.1007/978-3-030-97255-4 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| الملخص: | Microsleep can happen in any situations which could lead to accidents
due to the driver’s fatigue. One of the studies that have been done on observing
the occurrence of microsleep is by analysing the electrocardiogram (ECG) signal.
This study proposed to develop a steering wheel that extracts ECG signal from
a driver in preventing microsleep through the data acquisition, pre-processing,
feature extraction and classification stages. Firstly, the ECG signals were collected
in normal and drowsy states. Then, the signals were filtered using the Savitzky
Golay filter and Pan Tompkins’s algorithmwere selected to extract the R peak. The
data was analysed using four classifications which are RR interval (RRI), standard
deviation of normal to normal (SDNN), root mean square of successive differences
(RMSSD) and p-value. Consequently, ECG in steering wheel managed to display
a distinct difference for both states through all classifications, simultaneously
capable in detecting the occurrence of microsleep. |
|---|