EEG-Based Estimation and Classification of Mental Fatigue
نویسندگان
چکیده
منابع مشابه
EEG-Based Estimation and Classification of Mental Fatigue
Mental fatigue was associated with increased power in frontal theta (θ) and parietal alpha (α) EEG rhythms. A statistical classifier can use these effects to model EEG-fatigue relationships accurately. Participants (n = 22) solved math problems on a computer until either they felt exhausted or 3 h had elapsed. Preand post-task mood scales showed that fatigue increased and energy decreased. Mean...
متن کاملEEG-based Estimation of Cognitive Fatigue
We measured multichannel EEG spectra during a continuous mental arithmetic task and created statistical learning models of cognitive fatigue for single subjects. Sixteen subjects (4 F, 18-38 y) viewed 4-digit problems on a computer, solved the problems, and pressed keys to respond (inter-trial interval = 1 s). Subjects performed until either they felt exhausted or three hours had elapsed. Prean...
متن کاملMental Fatigue Measurement Using EEG
1.1 Background We live in a highly technological and information-oriented society. The use of computers in modern society is omnipresent. They are used for innumerable applications in various sizes and forms. Over the past 20 years, the personal computer has become widely used, both in the office and at home. People use computers to write documents, maintain databases, manage finances, draw dia...
متن کاملEEG-Based Estimation of Mental Fatigue: Convergent Evidence for a Three-State Model
Two new computational models show that the EEG distinguishes three distinct mental states ranging from alert to fatigue. State 1 indicates heightened alertness and is frequently present during the first few minutes of time on task. State 2 indicates normal alertness, often following and lasting longer than State 1. State 3 indicates fatigue, usually following State 2, but sometimes alternating ...
متن کاملAutomatic Classification of Driving Mental Fatigue with Eeg by Wavelet Packet Energy and Kpca-svm
Driving mental fatigue is a main cause of some serious transportation accident and it has drawn increasing attention in recent years. In this study, an automatic measurement of driving mental fatigue based on the Electroencephalographic (EEG) is presented. Fifteen healthy subjects who performed continuous simulated driving task for 90 minutes with EEG monitoring are included in this study. The ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Psychology
سال: 2015
ISSN: 2152-7180,2152-7199
DOI: 10.4236/psych.2015.65055