Electroencephalography (EEG) is a non-invasive neuroimaging technique that measures the electrical activity of the brain through electrodes placed on the scalp. EEG can be used for various research applications, including studying brain function and activity, identifying neurological disorders, and investigating the effects of drugs or other interventions on brain activity. EEG is particularly useful for studying brain activity in real-time and identifying the timing and location of brain activity associated with specific cognitive processes or behaviors. It can also be used in clinical settings to diagnose and monitor neurological disorders such as epilepsy, sleep disorders, and traumatic brain injuries. Additionally, EEG can be used to investigate the effects of various interventions, such as cognitive training or neurofeedback, on brain activity and function.
For surfers, catching the perfect wave can induce a state of pure ecstasy known as the “stoke”. But what’s happening in the brain during this ultimate ride? Wearable Sensing created a custom dry EEG system that measures brainwaves during surfing. They partnered with Red Bull to use this technology on professional surfers to uncover the neurophysiological aspects of surfing. The dry EEG system is worn on the head like a swimming cap, and it allows for the measurement of brain activity in real-time during surfing. By studying the brainwaves of surfers during their best rides, researchers hope to understand what goes on in the brain during moments of flow and peak performance, and ultimately unlock the secrets to achieving that elusive state of “stoke”.
In this study, wearable sensors and machine learning-based algorithms were used to predict hypoxia in-flight. The group used Wearable Sensing’s dry-EEG technology to collect sensor data from 85 participants during a two-phase study. Participants wore aviation flight masks, which regulated their oxygen intake while performing cognitive tests and simulated flying tasks. EEG data was collected and analyzed using principal component analysis and machine learning algorithms, including Naïve Bayes, decision tree, random forest, and neural network algorithms, to classify the data as normal or hypoxic. The results showed high sensitivity and specificity, indicating potential for developing a real-time, in-flight hypoxia detection system.
This paper proposes a protocol for assessing stress using wearable sensing technology, including Electroencephalography (EEG), Electrocardiography (ECG), and the Perceived Stress Scale, in combination with a Virtual Reality phobia induction setting. Wearable Sensing’s dry EEG technology is used to measure brain activity and investigate functional brain connectivity associated with stress. The proposed protocol can be expanded with the incorporation of machine learning algorithms for automatic stress level classification.
Yfantidou, I; Tsourvakas, G; Oikonomou, VP; Kompatsiaris, I
Consumer response to different discount sales promotional messages. An eye tracking and EEG experiment Miscellaneous
2024.
@misc{yfantidouconsumer,
title = {Consumer response to different discount sales promotional messages. An eye tracking and EEG experiment},
author = {I Yfantidou and G Tsourvakas and VP Oikonomou and I Kompatsiaris},
url = {https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0000962.pdf},
year = {2024},
date = {2024-09-04},
abstract = {This article presents a study of consumer behavior during the selection of products from a supermarket’s leaflet. There are many factors that can determine whether a particular product attracts consumers’ attention, such as price, brand, and sales discount. This study is focused on consumers’ preferences among the three most common sales discount types. For the purpose of the study a leaflet that is identical to a real supermarket leaflet was designed, to resemble a real-life experience. Eye tracking and EEG were used to record participants’ gaze and emotions while viewing the leaflet. The behavior of 42 participants was investigated and it was identified how valuable the clarity of the promotional message is. Moreover, EEG helped us analyze basic nonconscious preferences and cognitive processes, such as the effect of memorization, approach-withdrawal and workload in decision making.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Georgiadis, Kostas; Nikolopoulos, Spiros; Kalaganis, Fotis P; Kompatsiaris, Ioannis; Laskaris, Nikos A
Assessing video advertising engagement via Nonlinear Intersubject Correlation Analysis of EEG and eye tracking dynamics Miscellaneous
2024.
@misc{georgiadisassessing,
title = {Assessing video advertising engagement via Nonlinear Intersubject Correlation Analysis of EEG and eye tracking dynamics},
author = {Kostas Georgiadis and Spiros Nikolopoulos and Fotis P Kalaganis and Ioannis Kompatsiaris and Nikos A Laskaris},
url = {https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0000957.pdf},
year = {2024},
date = {2024-09-01},
abstract = {A novel framework for assessing engagement through video commercials is presented. Deviating from the current approaches, here we cast the problem as nonlinear intersubject correlation analysis and pursue the collective (i.e. across-participants) treatment of EEG signals and eye-tracking measurements. Regarding brain dynamics, two well-known descriptors, namely spatial covariance and phase locking value, undergo transcription to their ‘hyperscanning’ equivalents. Regarding eye-related measurements, individual paths and pupillometric measurements are summarized at population level. Using data from a recording paradigm, where each participant independently watched a cartoon video interrupted by a commercial clip, we show that our approach can provide signatures of engagement to the content being delivered and reconstruct the level of appreciation of the potential consumers.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Al-Ezzi, Abdulhakim; Arechavala, Rebecca J; Butler, Ryan; Nolty, Anne; Kang, Jimmy J; Shimojo, Shinsuke; Wu, Daw-An; Fonteh, Alfred N; Kleinman, Michael T; Kloner, Robert A; others,
Disrupted brain functional connectivity as early signature in cognitively healthy individuals with pathological CSF amyloid/tau Journal Article
In: Communications Biology, vol. 7, no. 1, pp. 1037, 2024.
@article{al2024disrupted,
title = {Disrupted brain functional connectivity as early signature in cognitively healthy individuals with pathological CSF amyloid/tau},
author = {Abdulhakim Al-Ezzi and Rebecca J Arechavala and Ryan Butler and Anne Nolty and Jimmy J Kang and Shinsuke Shimojo and Daw-An Wu and Alfred N Fonteh and Michael T Kleinman and Robert A Kloner and others},
doi = {https://doi.org/10.1038/s42003-024-06673-w},
year = {2024},
date = {2024-08-23},
urldate = {2024-01-01},
journal = {Communications Biology},
volume = {7},
number = {1},
pages = {1037},
publisher = {Nature Publishing Group UK London},
abstract = {Alterations in functional connectivity (FC) have been observed in individuals with Alzheimer’s disease (AD) with elevated amyloid (Aβ) and tau. However, it is not yet known whether directed FC is already influenced by Aβ and tau load in cognitively healthy (CH) individuals. A 21-channel electroencephalogram (EEG) was used from 46 CHs classified based on cerebrospinal fluid (CSF) Aβ tau ratio: pathological (CH-PAT) or normal (CH-NAT). Directed FC was estimated with Partial Directed Coherence in frontal, temporal, parietal, central, and occipital regions. We also examined the correlations between directed FC and various functional metrics, including neuropsychology, cognitive reserve, MRI volumetrics, and heart rate variability between both groups. Compared to CH-NATs, the CH-PATs showed decreased FC from the temporal regions, indicating a loss of relative functional importance of the temporal regions. In addition, frontal regions showed enhanced FC in the CH-PATs compared to CH-NATs, suggesting neural compensation for the damage caused by the pathology. Moreover, CH-PATs showed greater FC in the frontal and occipital regions than CH-NATs. Our findings provide a useful and non-invasive method for EEG-based analysis to identify alterations in brain connectivity in CHs with a pathological versus normal CSF Aβ/tau.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chung, Jiwon; Yoon, Jung Eun; Park, Soah; Won, Hyunbin; Ha, Suhyun; Koo, Sumin Helen
Design development and evaluation of arm movement-assistive suits for lifting and movement for industrial workers considering wearability Journal Article
In: International Journal of Industrial Ergonomics, vol. 103, pp. 103616, 2024.
@article{chung2024design,
title = {Design development and evaluation of arm movement-assistive suits for lifting and movement for industrial workers considering wearability},
author = {Jiwon Chung and Jung Eun Yoon and Soah Park and Hyunbin Won and Suhyun Ha and Sumin Helen Koo},
doi = {https://doi.org/10.1016/j.ergon.2024.103616},
year = {2024},
date = {2024-08-03},
urldate = {2024-01-01},
journal = {International Journal of Industrial Ergonomics},
volume = {103},
pages = {103616},
publisher = {Elsevier},
abstract = {Wearability of clothing is important for enhancing work efficiency and resistance among industrial workers. In this study, we developed wearable suit designs for shoulder and upper limb support when lifting objects considering the wearability of the user in the development stage. We provide basic data on the wearability of functional clothing and wearable suits, with emphasis on improving safety and work efficiency. Two distinct wearable suit designs, namely long- and short-sleeved, were developed and evaluated with a primary focus on wearer comfort. Employing a comprehensive approach encompassing textile analysis, performance assessment, brainwave investigation, and satisfaction surveys, this study provides objective insights for refining the wearability in wearable suit development. A short-sleeved design is recommended for the development of wearable suits tailored to assist industrial workers in tasks requiring muscle strength for heavy loads and repetitive motions. Our results provide foundational data on the wearability of robotic suits in a bid to enhance the safety and efficiency of industrial workers.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
He, Jiali; Chan, Sunny HW; Lin, Jingxia; Tsang, Hector WH
In: Sleep Medicine, 2024.
@article{he2024integration,
title = {Integration of Tai Chi and repetitive transcranial magnetic stimulation for sleep disturbances in older adults: A pilot randomized controlled trial},
author = {Jiali He and Sunny HW Chan and Jingxia Lin and Hector WH Tsang},
doi = {https://doi.org/10.1016/j.sleep.2024.07.029},
year = {2024},
date = {2024-08-02},
urldate = {2024-01-01},
journal = {Sleep Medicine},
publisher = {Elsevier},
abstract = {Background
The arousal state has been demonstrated to be involved in the fundamental pathophysiological mechanism of sleep disturbances. Tai Chi (TC) and repetitive transcranial magnetic stimulation (rTMS) have been documented to alleviate sleep disturbances by interfering with different arousal components. It is reasonable to assume that combining TC and rTMS could induce synergistic and longer-lasting benefits for sleep disturbances.
Methods
Thirty-eight older community-dwelling people were randomly assigned to one of three groups: TC plus rTMS (n = 12), TC alone (n = 13), and treat-as-usual (TAU) (n = 13). The interventions were conducted three times per week for 4 weeks for the two intervention groups. The primary outcome was the insomnia severity, while the secondary outcomes were the actigraphy-assessed sleep patterns, use of hypnotic medications, mood states, and quality of life. The mediator outcomes included self-reported somatic arousal and cognitive arousal as well as electroencephalogram (EEG)-assessed cortical arousal. The assessments were conducted at baseline (T0), post-intervention (T1), and 3-month follow-up (T2).
Results
Significant improvements in the insomnia severity were observed in the TC plus rTMS group compared with the TAU group at T1 (Cohen’s d = 1.62, p = .003) and T2 (Cohen’s d = 1.97, p < .001). In contrast, significant improvements in the TC alone group were found only at T2 (Cohen’s d = 1.03, p = .010) when compared with the TAU group. Significant interaction effects were noted on the actigraphy-assessed sleep efficiency (p = .015) and total sleep time (p = .004), depression (p = .003) and stress scores (p = .002), and mental function in relation to quality of life (p = .042). However, none of the mediators elucidated how combining TC and rTMS could improve the insomnia severity.
Conclusion
The research findings are expected to guide further clinical practice in the management of sleep disturbances among older adults using various interventions. Future studies are needed to unravel the underlying mechanism and optimize the protocol to maximize the therapeutic benefits.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Alrasheedi, Aseel A; Alrabeah, Alyah Z; Almuhareb, Fatemah J; Alras, Noureyah MY; Alduaij, Shaymaa N; Karar, Abdullah S; Said, Sherif; Youssef, Karim; Kork, Samer Al
Utilizing Dry Electrode Electroencephalography and AI Robotics for Cognitive Stress Monitoring in Video Gaming Journal Article
In: Applied System Innovation, vol. 7, no. 4, pp. 68, 2024.
@article{alrasheedi2024utilizing,
title = {Utilizing Dry Electrode Electroencephalography and AI Robotics for Cognitive Stress Monitoring in Video Gaming},
author = {Aseel A Alrasheedi and Alyah Z Alrabeah and Fatemah J Almuhareb and Noureyah MY Alras and Shaymaa N Alduaij and Abdullah S Karar and Sherif Said and Karim Youssef and Samer Al Kork},
doi = {https://doi.org/10.3390/asi7040068},
year = {2024},
date = {2024-07-31},
urldate = {2024-01-01},
journal = {Applied System Innovation},
volume = {7},
number = {4},
pages = {68},
publisher = {MDPI},
abstract = {This research explores the integration of the Dry Sensor Interface-24 (DSI-24) EEG headset with a ChatGPT-enabled Furhat robot to monitor cognitive stress in video gaming environments. The DSI-24, a cutting-edge, wireless EEG device, is adept at rapidly capturing brainwave activity, making it particularly suitable for dynamic settings such as gaming. Our study leverages this technology to detect cognitive stress indicators in players by analyzing EEG data. The collected data are then interfaced with a ChatGPT-powered Furhat robot, which performs dual roles: guiding players through the data collection process and prompting breaks when elevated stress levels are detected. The core of our methodology is the real-time processing of EEG signals to determine players’ focus levels, using a mental focusing feature extracted from the EEG data. The work presented here discusses how technology, data analysis methods and their combined effects can improve player satisfaction and enhance gaming experiences. It also explores the obstacles and future possibilities of using EEG for monitoring video gaming environments.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Xu, Jihong; Chen, Tianran; Yan, Lirong
Improvement Of An Untrained Brain-computer Interface System Combined With Target Recognition Proceedings Article
In: 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp. 1–6, IEEE 2024.
@inproceedings{xu2024improvement,
title = {Improvement Of An Untrained Brain-computer Interface System Combined With Target Recognition},
author = {Jihong Xu and Tianran Chen and Lirong Yan},
doi = {10.1109/ECAI61503.2024.10607572},
year = {2024},
date = {2024-07-30},
urldate = {2024-01-01},
booktitle = {2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)},
pages = {1–6},
organization = {IEEE},
abstract = {In the current commonly used Steady State Visual Evoked Potential (SSVEP) paradigm, the stimuli are mostly white flashing blocks superimposed on a black background, which is monotonous and easy to cause subject fatigue with prolonged flashing stimuli. The stimulus paradigm is mostly divorced from the actual control environment, and lacks a direct connection with the control task. The mainstream classification algorithms usually analyze the data with a fixed window length, which is lack of generalizability to different subjects, and the classification performance index needs to be further improved. In this study, the SSVEP stimulus paradigm was improved by combining the YOLOv5 algorithm, which changed from the traditional black background to the actual control environment. It superimposed SSVEP stimulus blocks of different frequencies at each recognized target location. The stimulus paradigm was not stripped from the control scene, and the Filter Bank Criterion Correlation Analysis (FBCCA) algorithm was chosen to analyze it. The FBCCA algorithm was further improved by using a dynamic window strategy, which automatically adjusts the window length of each experiment according to the characteristics of each subject. This improves the versatility of the algorithm and increases the recognition accuracy and Information Transfer Rate (ITR). After the improvement, the offline experimental data were analyzed. The improved algorithm achieved an average accuracy of 87.08%, which was 17.29% higher than the original algorithm. Additionally, the average ITR was 74.28 bits/min, which was 36.51 bits/min higher than the original algorithm.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Yoon, Jeong Eun; Chung, Jiwon; Park, Soah; Won, Hyunbin; Kim, Changhwan; Baek, Inryeol; Koh, Je-sung; Koo, Sumin Helen
Evaluation of Gait-assistive Soft Wearable Robot Designs for Wear Comfort, Focusing on Electroencephalogram and Satisfaction Journal Article
In: IEEE Robotics and Automation Letters, 2024.
@article{yoon2024evaluation,
title = {Evaluation of Gait-assistive Soft Wearable Robot Designs for Wear Comfort, Focusing on Electroencephalogram and Satisfaction},
author = {Jeong Eun Yoon and Jiwon Chung and Soah Park and Hyunbin Won and Changhwan Kim and Inryeol Baek and Je-sung Koh and Sumin Helen Koo},
doi = {10.1109/LRA.2024.3433834},
year = {2024},
date = {2024-07-25},
urldate = {2024-01-01},
journal = {IEEE Robotics and Automation Letters},
publisher = {IEEE},
abstract = {Wearable robots should be comfortable; however, there is lack of research on wear comfort for wearable robots has been conducted. This study aimed to evaluate the comfort of wearable soft robot platforms designed for walking assistance. We proposed clothing-based wearable robot platforms that prioritized wearer comfort to contribute to the advancement of a more human-centered wearable robot. Two designs, Design 1 (pant-type) and Design 2 (suit-type), were used to analyze the comfort of wearing the developed wearable robot platforms for gait assistance, using electroencephalogram (EEG) measurements and post-wear satisfaction evaluation. Design 2 revealed more comfort data than Design 1 when walking; thus, enhancing people's satisfaction. The findings can contribute to the development of comfortable soft wearable robots, thereby enabling people to walk without difficulty in their daily lives.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Moon, JaeYoung; Cho, EunHye; Jo, Yeabon; Kim, KyungJoong; Song, Eunsung
Investigating the Effect of Emotional Matching between Game and Background Music on Game Experience in a Valence–Arousal Space Journal Article
In: IEEE Transactions on Games, pp. 1-20, 2024.
@article{moon2024investigating,
title = {Investigating the Effect of Emotional Matching between Game and Background Music on Game Experience in a Valence–Arousal Space},
author = {JaeYoung Moon and EunHye Cho and Yeabon Jo and KyungJoong Kim and Eunsung Song},
doi = {10.1109/TG.2024.3424459},
year = {2024},
date = {2024-07-08},
urldate = {2024-01-01},
journal = {IEEE Transactions on Games},
pages = {1-20},
publisher = {IEEE},
abstract = {Game music critically influences the experience of a video game. Although this influence has been well investigated, the multifaceted relationships between video games and the emotions evoked by music are rarely reported. By considering diverse emotional matches of game and music, game designers could enhance various aspects of the game experience. The present study investigates players' game experiences by analyzing the electroencephalogram data, game experience questionnaire answers, and interview responses of 31 experimental participants corresponding to game–music emotional matching based on the valence–arousal model. Finally, four findings were identified based on four types of game experiences: overall preference, emotion, immersion, and performance. These findings led to four game music design approaches.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lee, Eun Kyoung; Park, Jin Oh; Lee, Hae-Kwang; Shin, Jin Hee
Effects of Natural Herbal Extracts on Electrical Brain Activity and Autonomic Nervous System Journal Article
In: Journal of the Society of Cosmetic Scientists of Korea, vol. 50, no. 2, pp. 163–170, 2024.
@article{lee2024effects,
title = {Effects of Natural Herbal Extracts on Electrical Brain Activity and Autonomic Nervous System},
author = {Eun Kyoung Lee and Jin Oh Park and Hae-Kwang Lee and Jin Hee Shin},
url = {https://koreascience.kr/article/JAKO202421543238245.page},
year = {2024},
date = {2024-06-30},
urldate = {2024-08-18},
journal = {Journal of the Society of Cosmetic Scientists of Korea},
volume = {50},
number = {2},
pages = {163–170},
publisher = {Society of Cosmetic Scientists of Korea},
abstract = {In the literature, inhalation of cosmetic fragrances, including natural extracts or natural essential oils, has been reported to induce brainwave changes. Angelica gigas (AG) and Cnidium officinale (CO) are widely used in East Asian countries as traditional medicines to improve health, but there have been no previous reports of inhaling their aromas and assessing changes in brain activity through electroencephalogram (EEG) recordings. In this study, the scent of natural herbal extracts such as Artemisia princeps var. orientalis (Compositae), AG, and CO was inhaled and evaluated whether emotional state changes were caused by olfactory stimuli, and brain activity was confirmed through EEG records before and after inhaling the scent of natural herbal extracts in subjects aged 20 to 30. We also used an electrocardiogram (ECG) to record the electrical activity of the heart during fragrance administration. The test results indicated that inhaling the scents of Compositae, AG, and CO extracts, as well as the positive control lavender, significantly increased the relative alpha power and the alpha/beta ratio of brain waves across the brain regions. The ECG recordings indicated that the inhalation of Compositae fragrance significantly decreased the low-frequency/high-frequency ratio, and that the inhalation of traditional herbal extract fragrances resulted in comfort and relaxation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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