Electrodermal Activity for Measuring Cognitive and Emotional Stress Level
عنوان مقاله: Electrodermal Activity for Measuring Cognitive and Emotional Stress Level
شناسه ملی مقاله: JR_JMSI-12-2_009
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_JMSI-12-2_009
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
Osmalina Nur Rahma - Department of Physics, Faculty of Science and Technology, Universitas Airlangga- Department of Physics, Biomedical Signals and Systems Research Group, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
Alfian Pramudita Putra - Department of Physics, Faculty of Science and Technology, Universitas Airlangga- Department of Physics, Biomedical Signals and Systems Research Group, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
Akif Rahmatillah - Department of Physics, Faculty of Science and Technology, Universitas Airlangga- Department of Physics, Biomedical Signals and Systems Research Group, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
Yang Sa'ada Kamila Ariyansah Putri - Department of Physics, Faculty of Science and Technology, Universitas Airlangga
خلاصه مقاله:
Osmalina Nur Rahma - Department of Physics, Faculty of Science and Technology, Universitas Airlangga- Department of Physics, Biomedical Signals and Systems Research Group, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
Alfian Pramudita Putra - Department of Physics, Faculty of Science and Technology, Universitas Airlangga- Department of Physics, Biomedical Signals and Systems Research Group, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
Akif Rahmatillah - Department of Physics, Faculty of Science and Technology, Universitas Airlangga- Department of Physics, Biomedical Signals and Systems Research Group, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
Yang Sa'ada Kamila Ariyansah Putri - Department of Physics, Faculty of Science and Technology, Universitas Airlangga
Stress can lead to harmful conditions in the body, such as anxiety disorders and depression. One of
the promising noninvasive methods, which has been widely used in detecting stress and emotion,
is electrodermal activity (EDA). EDA has a tonic and phasic component called skin conductance
level and skin conductance response (SCR). However, the components of the EDA cannot be
directly extracted and need to be deconvolved to obtain it. The EDA signals were collected from
۱۸ healthy subjects that underwent three sessions – Stroop test with increasing stress levels. The
EDA signals were then deconvoluted by using continuous deconvolution analysis (CDA) and
convex optimization approach to electrodermal activity (cvxEDA). Four features from the result of
the deconvolution process were collected, namely sample average, standard deviation, first absolute
difference, and normalized first absolute difference. Those features were used as the input of the
classification process using the extreme learning machine (ELM). The output of classification was
the stress level; mild, moderate, and severe. The visual of the phasic component using cvxEDA is
more precise or smoother than the CDA’s result. However, both methods could separate SCR from
the original skin conductivity raw and indicate the small peaks from the SCR. The classification
process results showed that both CDA and cvxEDA methods with ۵۰ hidden layers in ELM had
a high accuracy in classifying the stress level, which was ۹۵.۵۶% and ۹۴.۴۵%, respectively. This
study developed a stress level classification method using ELM and the statistical features of SCR.
The result showed that EDA could classify the stress level with over ۹۴% accuracy. This system
could help people monitor their mental health during overworking, leading to anxiety and depression
because of untreated stress.
کلمات کلیدی: Continuous deconvolution analysis, convex optimization approach to electrodermal activity processing, electrodermal activity, extreme learning machine, skin conductivity
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1700820/