A review on mental stress assessment methods using EEG signals

R Katmah, F Al-Shargie, U Tariq, F Babiloni… - Sensors, 2021 - mdpi.com
Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …

Consumer grade EEG measuring sensors as research tools: A review

P Sawangjai, S Hompoonsup… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …

Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces

Z Wang, N Shi, Y Zhang, N Zheng, H Li, Y Jiao… - Nature …, 2023 - nature.com
Brain-computer interfaces (BCIs) have attracted considerable attention in motor and
language rehabilitation. Most devices use cap-based non-invasive, headband-based …

Deep learning-based construction equipment operators' mental fatigue classification using wearable EEG sensor data

I Mehmood, H Li, Y Qarout, W Umer, S Anwer… - Advanced Engineering …, 2023 - Elsevier
Operator attention failure due to mental fatigue during extended equipment operations is a
common cause of equipment-related accidents that result in catastrophic injuries and …

Trends in heart-rate variability signal analysis

S Ishaque, N Khan, S Krishnan - Frontiers in Digital Health, 2021 - frontiersin.org
Heart rate variability (HRV) is the rate of variability between each heartbeat with respect to
time. It is used to analyse the Autonomic Nervous System (ANS), a control system used to …

Can emotion be transferred?—A review on transfer learning for EEG-based emotion recognition

W Li, W Huan, B Hou, Y Tian, Z Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The issue of electroencephalogram (EEG)-based emotion recognition has great academic
and practical significance. Currently, there are numerous research trying to address this …

EEG based classification of long-term stress using psychological labeling

SMU Saeed, SM Anwar, H Khalid, M Majid, U Bagci - Sensors, 2020 - mdpi.com
Stress research is a rapidly emerging area in the field of electroencephalography (EEG)
signal processing. The use of EEG as an objective measure for cost effective and …

[HTML][HTML] Bringing nature into hospital architecture: Machine learning-based EEG analysis of the biophilia effect in virtual reality

D Jung, DI Kim, N Kim - Journal of Environmental Psychology, 2023 - Elsevier
In recent years, there has been a growing interest in investigating the influence of biophilic
design on occupants' psychological comfort and well-being in the built environment …

[HTML][HTML] Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography …

I Mehmood, H Li, W Umer, A Arsalan, S Anwer… - Developments in the …, 2023 - Elsevier
Construction equipment operations that require high levels of attention can cause mental
fatigue, which can lead to inefficiencies and accidents. Previous studies classified mental …

Mental stress assessment using ultra short term HRV analysis based on non-linear method

S Lee, HB Hwang, S Park, S Kim, JH Ha, Y Jang… - Biosensors, 2022 - mdpi.com
Mental stress is on the rise as one of the major health problems in modern society. It is
important to detect and manage mental stress to prevent various diseases caused by stress …