Effective channels in classification and functional connectivity pattern of prefrontal cortex by functional near infrared spectroscopy signals
In this paper, we apply support vector machine (SVM) based classification of functional near-
infrared spectroscopy (fNIRS) which is non-invasive monitoring of human brain function by …
infrared spectroscopy (fNIRS) which is non-invasive monitoring of human brain function by …
[PDF][PDF] Functional near infrared spectroscope for cognition brain tasks by wavelets analysis and neural networks
TQD Khoa, M Nakagawa - International Journal of Psychological and …, 2008 - Citeseer
Brain Computer Interface (BCI) has been recently increased in research. Functional Near
Infrared Spectroscope (fNIRs) is one the latest technologies which utilize light in the near …
Infrared Spectroscope (fNIRs) is one the latest technologies which utilize light in the near …
Multi-level stress assessment using multi-domain fusion of ECG signal
Stress analysis and assessment of affective states of mind using ECG as a physiological
signal is a burning research topic in biomedical signal processing. However, existing …
signal is a burning research topic in biomedical signal processing. However, existing …
[HTML][HTML] Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning
The Brain-computer interface (BCI) is used to enhance the human capabilities. The hybrid-
BCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to …
BCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to …
Brain mapping based stress identification using portable eeg based device
P Nagar, D Sethia - 2019 11th International Conference on …, 2019 - ieeexplore.ieee.org
A high amount of stress is experienced by people of all ages nowadays and is affecting their
physical and mental health adversely. Traditionally, Perceived Stress Score (PSS-14) …
physical and mental health adversely. Traditionally, Perceived Stress Score (PSS-14) …
Mental workload classification from spatial representation of fnirs recordings using convolutional neural networks
Mental workload classification is a core element of designing adaptive Human-Computer
Interfaces and plays an essential role in increasing the safety and operator performance of …
Interfaces and plays an essential role in increasing the safety and operator performance of …
fNIRS evidence for distinguishing patients with major depression and healthy controls
J Chao, S Zheng, H Wu, D Wang… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
In recent years, major depressive disorder (MDD) has been shown to negatively impact
physical recovery in a variety of patients. Functional near-infrared spectroscopy (fNIRS) is a …
physical recovery in a variety of patients. Functional near-infrared spectroscopy (fNIRS) is a …
Signal quality assessment model for wearable EEG sensor on prediction of mental stress
Electroencephalogram (EEG) plays an important role in E-healthcare systems, especially in
the mental healthcare area, where constant and unobtrusive monitoring is desirable. In the …
the mental healthcare area, where constant and unobtrusive monitoring is desirable. In the …
[HTML][HTML] Multimodal affective state assessment using fNIRS+ EEG and spontaneous facial expression
Human facial expressions are regarded as a vital indicator of one's emotion and intention,
and even reveal the state of health and wellbeing. Emotional states have been associated …
and even reveal the state of health and wellbeing. Emotional states have been associated …
Stress detection from EEG using power ratio
TH Priya, P Mahalakshmi, VPS Naidu… - … on emerging trends …, 2020 - ieeexplore.ieee.org
Stress correlates itself as a mental conscious and emotion within a person that influences
mental ability and decision-making skills, which results in an inappropriate work. Studies …
mental ability and decision-making skills, which results in an inappropriate work. Studies …