EEG, EOG, Likert Scale, and Interview Approaches for Assessing Stressful Hazard Perception Scenarios

Z Rui, Y Li, Z Dong, L Hao, B Chen… - International Journal of …, 2024 - Taylor & Francis
This study aimed to detect stressful hazard perception scenarios subjectively and objectively
when using intelligent driving systems. We used electrooculography (EOG) …

A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring

Q Zhang, P Wang, Y Liu, B Peng… - International …, 2018 - journals.sagepub.com
Wearable electroencephalography systems of out-of-hospital can both provide
complementary recordings and offer several benefits over long-term monitoring. However …

NeuroMonitor ambulatory EEG device: Comparative analysis and its application for cognitive load assessment

R Mahajan, CA Majmudar, S Khatun… - 2014 IEEE …, 2014 - ieeexplore.ieee.org
We have previously presented a wireless ambulatory EEG device (NeuroMonitor) to non-
invasively monitor prefrontal cortex scalp EEG activity in real-life settings. This paper …

NeuroMonitor: a low‐power, wireless, wearable EEG device with DRL‐less AFE

S Consul‐Pacareu, R Mahajan… - IET Circuits, Devices …, 2017 - Wiley Online Library
Electroencephalography (EEG) is an effective tool to non‐invasively capture brain
responses. Traditional EEG analogue front end (AFE) requires a driven right leg (DRL) …

Performance analysis of a DRL-less AFE for battery-powered wearable EEG

R Mahajan, BI Morshed - Measurement, 2016 - Elsevier
The driven-right-leg (DRL) circuit has been commonly used in the wall-powered EEG
systems to reduce common-mode interference in the bio-potential amplifier. However, DRL …

Wireless ambulatory ECG signal capture for HRV and cognitive load study using the NeuroMonitor platform

MN Sahadat, S Consul-Pacareu… - 2013 6th International …, 2013 - ieeexplore.ieee.org
The heart rhythms, controlled by the autonomic nervous system, can fluctuate with varying
cognitive loads that can be captured with electrocardiogram (ECG) and heart rate variability …

Hardware-efficient robust biometric identification from 0.58 second template and 12 features of limb (Lead I) ECG signal using logistic regression classifier

MN Sahadat, EL Jacobs… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
The electrocardiogram (ECG), widely known as a cardiac diagnostic signal, has recently
been proposed for biometric identification of individuals; however reliability and …

Power optimization of NeuroMonitor EEG device: Hardware/software co-designed interrupt driven clocking approach

S Consul-Pacareu, BI Morshed - 2013 6th International IEEE …, 2013 - ieeexplore.ieee.org
Wireless and wearable EEG device for home based long-term non intrusive diagnosis for
therapy applications like ASD, ADHD, Epilepsy and other neurological disorders is crucial …

[PDF][PDF] Wearable ambulatory 2-channel EEG NeuroMonitor platform for real-life engagement monitoring based on brain activities at the prefrontal cortex

S Consul-Pacareu, R Mahajan… - 4th IAJC/ISAM Joint …, 2014 - researchgate.net
Real-life engagement monitoring is crucial in many clinical and therapy applications such as
classroom activities of children with developmental delays including autism spectrum …

[PDF][PDF] Hardware-efficient robust biometric identification from amplitude and interval features of 0.58 Second Limb (Lead I) ECG signal using logistic regression …

MN Sahadat, EL Jacobs, BI Morshed - Engineering in Medicine and …, 2014 - Citeseer
The electrocardiogram (ECG), widely known as a cardiac diagnostic signal, has recently
been proposed for biometric identification of individuals; however reliability and …