کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10323006 660879 2011 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Applying neural network analysis on heart rate variability data to assess driver fatigue
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Applying neural network analysis on heart rate variability data to assess driver fatigue
چکیده انگلیسی
► In this study we show heart rate variability which can be used as a passive means to quantify drowsiness. Frequency domain components of HRV is used for early detection of fatigue. ► We also designed a neural network based artificial intelligent algorithm which detects whether the given HRV signal is in alert of fatigue state. ► The frequency domain components of HRV were also used to distinguish between parasympathetic (HF) and sympathetic (LF) activities using LF/HF ratio. Statistical analysis was also performed to identify the difference between LF/HF ratio during alert and fatigue states.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 38, Issue 6, June 2011, Pages 7235-7242
نویسندگان
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