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.
Oikonomou, Vangelis P; Geordiadis, Kostas; Kalaganis, Fotis P; Nikolopoulos, Spiros; Kompatsiaris, Ioannis
Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals Conference
2024 IEEE Conference on Artificial Intelligence (CAI) 2024.
@conference{oikonomouprediction,
title = {Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals},
author = {Vangelis P Oikonomou and Kostas Geordiadis and Fotis P Kalaganis and Spiros Nikolopoulos and Ioannis Kompatsiaris},
url = {https://ieeecai.org/2024/wp-content/pdfs/540900b114/540900b114.pdf},
year = {2024},
date = {2024-06-25},
organization = {2024 IEEE Conference on Artificial Intelligence (CAI)},
abstract = {The prediction of memory performance using EEG signals is an active research area in Passive Brain Computer Interfaces community. In this type of prediction problem it is important to be able to use unlabeled data and to tackle the unbalanced nature of the data. In this work we propose two new Sparse Representation Classification schemes that are able to address the above properties of the data. The proposed classifiers have been tested in an EEG dataset related to neuromarketing. In the data analysis, we define a binary classification problem using EEG signals corresponding to the condition of remembering and forgetting. Furthermore, we compare the proposed classifiers with well-known classifiers. The obtained results show all classifiers perform above chance level, and, among them the proposed classifiers present the best performance in terms of Fscore and Kappa Value.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Kim, Sanghee; Ryu, Jihye; Lee, Yujeong; Lee, Kweonhyoung
Exploring the Influence of Subjective Thermal Perception on Electroencephalogram Characteristics Based on Prior Thermal Experience Journal Article
In: Building and Environment, pp. 111719, 2024.
@article{kim2024exploring,
title = {Exploring the Influence of Subjective Thermal Perception on Electroencephalogram Characteristics Based on Prior Thermal Experience},
author = {Sanghee Kim and Jihye Ryu and Yujeong Lee and Kweonhyoung Lee},
doi = {https://doi.org/10.1016/j.buildenv.2024.111719},
year = {2024},
date = {2024-06-04},
urldate = {2024-01-01},
journal = {Building and Environment},
pages = {111719},
publisher = {Elsevier},
abstract = {Achieving thermal comfort for occupants in a dynamic environment that reflects their previous thermal experiences is essential for enhancing satisfaction. Current models do not fully consider these dynamic elements, thus limiting advancements in occupants' thermal comfort. This study aims to delineate the characteristics of electroencephalogram (EEG) responses aligned with subjective thermal perception in various thermal environment scenarios, inclusive of past thermal experiences. It focuses on identifying EEG indices, brain regions, and temporal markers that can distinguish between different thermal perceptions. The study involves sixteen male participants who undergo three thermal experience scenarios: predicted mean vote (PMV) 0 → PMV +2, PMV +2 → PMV –2, and PMV -2 → PMV +2. Our results highlight the sensitivity of the F3 channel in the left frontal lobe to thermal environments. The study identifies a pivotal time frame of 6 min after the experiment's start as significant for differentiating thermal perception groups. Additionally, it reveals that the EEG indices reacting to thermal changes vary depending on the participants' previous thermal experiences. These findings indicate that physiological signals, particularly EEG responses, can serve as effective biomarkers for distinguishing thermal perceptions in diverse thermal experience scenarios. This research emphasizes the need to integrate a variety of thermal environment scenarios, considering previous thermal experiences, into personal comfort models for more effective and tailored thermal comfort solutions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cheng, Chia-Hsiung; Hsieh, Yu-Wei; Chang, Chiung-Chih; Hsiao, Fu-Jung; Chen, Li-Fen; Wang, Pei-Ning
In: Journal of Alzheimer's Disease, no. Preprint, pp. 1–18, 2024.
@article{cheng2024effects,
title = {Effects of 6-Month Combined Physical Exercise and Cognitive Training on Neuropsychological and Neurophysiological Function in Older Adults with Subjective Cognitive Decline: A Randomized Controlled Trial},
author = {Chia-Hsiung Cheng and Yu-Wei Hsieh and Chiung-Chih Chang and Fu-Jung Hsiao and Li-Fen Chen and Pei-Ning Wang},
doi = {10.3233/JAD-231257},
year = {2024},
date = {2024-06-04},
urldate = {2024-01-01},
journal = {Journal of Alzheimer's Disease},
number = {Preprint},
pages = {1–18},
publisher = {IOS Press},
abstract = {Background: Multidomain intervention may delay or ameliorate cognitive decline in older adults at risk of Alzheimer's disease, particularly in the memory and inhibitory functions. However, no study systematically investigates the changes of brain function in cognitively-normal elderly with subjective cognitive decline (SCD) when they receive multidomain intervention.
Objective: We aimed to examine whether a multidomain intervention could improve neuropsychological function and neurophysiological activities related to memory and inhibitory function in SCD subjects.
Methods: Eight clusters with a total of 50 community-dwelling SCD older adults were single-blind, randomized into intervention group, which received physical and cognitive training, or control group, which received treatment as usual. For the neuropsychological function, a composite Z score from six cognitive tests was calculated and compared between two groups. For the neurophysiological activities, event-related potentials (ERPs) of memory function, including mismatch negativity (MMN) and memory-P3, as well as ERPs of inhibitory function, including sensory gating (SG) and inhibition-P3, were measured. Assessments were performed at baseline (T1), end of the intervention (T2), and 6 months after T2 (T3).
Results: For the neuropsychological function, the effect was not observed after the intervention. For the neurophysiological activities, improved MMN responses of ΔT2-T1 were observed in the intervention group versus the control group. The multidomain intervention produced a sustained effect on memory-P3 latencies of ΔT3-T1. However, there were no significant differences in changes of SG and inhibition-P3 between intervention and control groups.
Conclusions: While not impactful on neuropsychological function, multidomain intervention enhances specific neurophysiological activities associated with memory function.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chiossi, Francesco; Ou, Changkun; Mayer, Sven
2024.
@conference{chiossi2024optimizing,
title = {Optimizing Visual Complexity for Physiologically-Adaptive VR Systems: Evaluating a Multimodal Dataset using EDA, ECG and EEG Features},
author = {Francesco Chiossi and Changkun Ou and Sven Mayer},
url = {https://sven-mayer.com/wp-content/uploads/2024/04/chiossi2024optimizing.pdf},
year = {2024},
date = {2024-06-03},
urldate = {2024-01-01},
abstract = {Physiologically-adaptive Virtual Reality systems dynamically adjust virtual content based on users’ physiological signals to enhance interaction and achieve specific goals. However, as different users’ cognitive states may underlie multivariate physiological patterns, adaptive systems necessitate a multimodal evaluation to investigate the relationship between input physiological features and target states for efficient user modeling. Here, we investigated a multimodal dataset (EEG, ECG, and EDA) while interacting with two different adaptive systems adjusting the environmental visual complexity based on EDA. Increased visual complexity led to increased alpha power and alpha-theta ratio, reflecting increased mental fatigue and workload. At the same time, EDA exhibited distinct dynamics with increased tonic and phasic components. Integrating multimodal physiological measures for adaptation evaluation enlarges our understanding of the impact of system adaptation on users’ physiology and allows us to account for it and improve adaptive system design and optimization algorithms.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Jeong, Chang Hyeon; Lim, Hyunmi; Lee, Jiye; Lee, Hye Sun; Ku, Jeonghun; Kang, Youn Joo
In: Frontiers in Neuroscience, vol. 18, pp. 1373589, 2024.
@article{jeong2024attentional,
title = {Attentional state-synchronous peripheral electrical stimulation during action observation induced distinct modulation of corticospinal plasticity after stroke},
author = {Chang Hyeon Jeong and Hyunmi Lim and Jiye Lee and Hye Sun Lee and Jeonghun Ku and Youn Joo Kang},
doi = {10.3389/fnins.2024.1373589},
year = {2024},
date = {2024-03-18},
urldate = {2024-03-18},
journal = {Frontiers in Neuroscience},
volume = {18},
pages = {1373589},
publisher = {Frontiers},
abstract = {Introduction: Brain computer interface-based action observation (BCI-AO) is a promising technique in detecting the user's cortical state of visual attention and providing feedback to assist rehabilitation. Peripheral nerve electrical stimulation (PES) is a conventional method used to enhance outcomes in upper extremity function by increasing activation in the motor cortex. In this study, we examined the effects of different pairings of peripheral nerve electrical stimulation (PES) during BCI-AO tasks and their impact on corticospinal plasticity. Materials and methods: Our innovative BCI-AO interventions decoded user's attentive watching during task completion. This process involved providing rewarding visual cues while simultaneously activating afferent pathways through PES. Fifteen stroke patients were included in the analysis. All patients underwent a 15 min BCI-AO program under four different experimental conditions: BCI-AO without PES, BCI-AO with continuous PES, BCI-AO with triggered PES, and BCI-AO with reverse PES application. PES was applied at the ulnar nerve of the wrist at an intensity equivalent to 120% of the sensory threshold and a frequency of 50 Hz. The experiment was conducted randomly at least 3 days apart. To assess corticospinal and peripheral nerve excitability, we compared pre and post-task (post 0, post 20 min) parameters of motor evoked potential and F waves under the four conditions in the muscle of the affected hand.The findings indicated that corticospinal excitability in the affected hemisphere was higher when PES was synchronously applied with AO training, using BCI during a state of attentive watching. In contrast, there was no effect on corticospinal activation when PES was applied continuously or in the reverse manner. This paradigm promoted corticospinal plasticity for up to 20 min after task completion. Importantly, the effect was more evident in patients over 65 years of age.The results showed that task-driven corticospinal plasticity was higher when PES was applied synchronously with a highly attentive brain state during the action observation task, compared to continuous or asynchronous application. This study provides insight into how optimized BCI technologies dependent on brain state used in conjunction with other rehabilitation training could enhance treatment-induced neural plasticity.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Li, Jian; Masullo, Massimiliano; Maffei, Luigi; Pascale, Aniello; Chau, Chi-kwan; Lin, Minqi
In: Applied Acoustics, vol. 218, pp. 109904, 2024.
@article{li2024improving,
title = {Improving informational-attentional masking of water sound on traffic noise by spatial variation settings: An in situ study with brain activity measurements},
author = {Jian Li and Massimiliano Masullo and Luigi Maffei and Aniello Pascale and Chi-kwan Chau and Minqi Lin},
doi = {https://doi.org/10.1016/j.apacoust.2024.109904},
year = {2024},
date = {2024-02-09},
urldate = {2024-01-01},
journal = {Applied Acoustics},
volume = {218},
pages = {109904},
publisher = {Elsevier},
abstract = {According with soundscape strategies to improve the perception of the sound environment, laboratory studies have proven that introducing water sounds into urban spaces can be both an effective strategy for the informational-attentional masking of road traffic noise, and restorativeness creation. To extend previous laboratory findings and test the effectiveness and applicability of different spatial variations of water sounds in urban parks, a sound installation was prepared, and an experiment was conducted. Three different position-varied water-sound sequences were augmented into an existing University campus green park through surround sound design method with four Bluetooth loudspeakers. The mental effects and attention process were assessed by analyzing the EEG signals including aperiodic, oscillatory components and sensor-level functional connectivity, along with psychological scales. The water sounds played in-situ, brought more visual processing related to spatial attention and stimulus-driven salience. And the changes in the alpha band and the related theta/alpha ratio among four conditions showed more relaxation state induced by the introduction of water sounds, consistent with the positive effects on emotion saliency and perceived restorativeness. Moreover, different spatial variations of water sounds, especially for the two-position switching setting, modulated the activity of the attentional network related to the restoration process via the alpha-theta synchronization.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kim, Sanghee; Ryu, Jihye; Lee, Yujeong; Park, Hyejin; Lee, Kweonhyoung
In: Buildings, vol. 14, no. 1, pp. 237, 2024.
@article{kim2024methods,
title = {Methods for Selecting Design Alternatives through Integrated Analysis of Energy Performance of Buildings and the Physiological Responses of Occupants},
author = {Sanghee Kim and Jihye Ryu and Yujeong Lee and Hyejin Park and Kweonhyoung Lee},
doi = {https://doi.org/10.3390/buildings14010237},
year = {2024},
date = {2024-01-15},
urldate = {2024-01-01},
journal = {Buildings},
volume = {14},
number = {1},
pages = {237},
publisher = {Multidisciplinary Digital Publishing Institute},
abstract = {We propose a technique that allows designers to develop energy-efficient buildings focused on occupants from the early design stage. The technique integrates the physiological responses of occupants and the energy performance of buildings. Among the architectural design elements, we considered the aspect ratio, ceiling height, and window-to-wall ratio as design variables and created 30 design alternatives for a single-occupancy room in a postpartum care center. These design alternatives were recreated in virtual reality, allowing 33 female participants to immerse themselves in the designed rooms. During the experiment, we collected electroencephalography (EEG) data from the participants. Furthermore, we used DesignBuilder to simulate 30 design alternatives and calculated the primary energy consumption per unit area for each alternative. By integrating the EEG data and energy performance analysis, we identified the design alternative among the 30 options that positively influenced the physiological responses of occupants while also being energy efficient. The selected alternative was designed with an aspect ratio of 1:1.6, a ceiling height of 2.3 m, and a window-to-wall ratio of 60%. This research represents a creative exploration that demonstrates how studies combining human physiological responses and architecture can evolve through integration with other subjects. Our findings provide a robust framework to explore the relationship between physiological responses and energy optimization for detailed architectural design elements.
},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Klee, Daniel; Memmott, Tab; Oken, Barry
In: Signals, vol. 5, no. 1, pp. 18–39, 2024.
@article{klee2024effect,
title = {The Effect of Jittered Stimulus Onset Interval on Electrophysiological Markers of Attention in a Brain–Computer Interface Rapid Serial Visual Presentation Paradigm},
author = {Daniel Klee and Tab Memmott and Barry Oken},
doi = {https://doi.org/10.3390/signals5010002},
year = {2024},
date = {2024-01-09},
urldate = {2024-01-01},
journal = {Signals},
volume = {5},
number = {1},
pages = {18–39},
publisher = {MDPI},
abstract = {Brain responses to discrete stimuli are modulated when multiple stimuli are presented in sequence. These alterations are especially pronounced when the time course of an evoked response overlaps with responses to subsequent stimuli, such as in a rapid serial visual presentation (RSVP) paradigm used to control a brain–computer interface (BCI). The present study explored whether the measurement or classification of select brain responses during RSVP would improve through application of an established technique for dealing with overlapping stimulus presentations, known as irregular or “jittered” stimulus onset interval (SOI). EEG data were collected from 24 healthy adult participants across multiple rounds of RSVP calibration and copy phrase tasks with varying degrees of SOI jitter. Analyses measured three separate brain signals sensitive to attention: N200, P300, and occipitoparietal alpha attenuation. Presentation jitter visibly reduced intrusion of the SSVEP, but in general, it did not positively or negatively affect attention effects, classification, or system performance. Though it remains unclear whether stimulus overlap is detrimental to BCI performance overall, the present study demonstrates that single-trial classification approaches may be resilient to rhythmic intrusions like SSVEP that appear in the averaged EEG.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Park, Jaeyoung; Wang, Soyoung; Lee, Seungji; Seo, Seungbeom; Lee, Nayoung; Kim, Seongcheol
Viewer Emotional Response to Webtoon-Based Drama: An EEG Analysis Journal Article
In: International Journal of Human–Computer Interaction, pp. 1–15, 2023.
@article{park2023viewer,
title = {Viewer Emotional Response to Webtoon-Based Drama: An EEG Analysis},
author = {Jaeyoung Park and Soyoung Wang and Seungji Lee and Seungbeom Seo and Nayoung Lee and Seongcheol Kim},
doi = {https://doi.org/10.1080/10447318.2023.2285647},
year = {2023},
date = {2023-11-29},
urldate = {2023-01-01},
journal = {International Journal of Human–Computer Interaction},
pages = {1–15},
publisher = {Taylor & Francis},
abstract = {Amidst entertainment market uncertainties, cross-medium content extension has emerged as a powerful strategy. Webtoons, digital cartoons, stand out as significant resources. However, limited research has delved into effective strategies for extending these narratives. Acknowledging the crucial role of evoking viewer emotions in content success, this study investigates viewer emotional responses. Departing from conventional methods, we employ neuroscientific measurement—specifically, electroencephalography (EEG)—to capture real-time viewer emotions during content consumption, assessing valence and arousal. We examine the impact of webtoon-drama similarity on viewer emotions and scene attributes that heighten emotional responses. By integrating EEG data, interview insights, and scene analysis, our findings underscore intensified emotions when drama scenes mirror webtoon elements, particularly in sets and directing. Effective replication relies on drama-specific attributes such as choreography, original soundtracks, and casting. This study contributes academically by using EEG to evaluate webtoons’ value as original sources and practically by offering concrete webtoon extension strategy.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Farrens, A.; Torrecilla, M.; Fernandez, L. Garcia; Johnson, C.; Wolbrecht, E. T.; Reinkensmeyer, D. J.; Gupta, D.
Society for Neuroscience 2023.
@conference{nokey,
title = {Behavioral and EEG Features of Finger Proprioception and Passive Movement: Effect of Error Feedback on Proprioception},
author = {A. Farrens and M. Torrecilla and L. Garcia Fernandez and C. Johnson and E.T. Wolbrecht and D.J. Reinkensmeyer and D. Gupta},
url = {https://wearablesensing.com/wp-content/uploads/2024/07/SfN_Poster_2023_Final.pdf},
year = {2023},
date = {2023-11-11},
organization = {Society for Neuroscience},
abstract = {Purpose: Proprioception, the sense of body movement, is critical to motor learning and is predictive of responsiveness to motor rehabilitation after stroke, which often damages proprioception [1-5]. It is of interest to understand how to enhance proprioception. Here, we used the proprioceptive “Crisscross” task on Finger Individuating Grasp Exercise Robot (FINGER) [4-8], to determine if error feedback improves passive proprioceptive acuity, and identify neural markers of proprioceptive processing using EEG.
Methods: 19 healthy right-handed adults (age: 22-34 yrs, 12 male) participated with informed consent. In Crisscross, FINGER passively crossed the right index and middle fingers in symmetric, alternating flexion/extension trajectories (0-36 deg), at random speeds (8,11,16 deg/s) and inter-trial intervals (2-3.5 s), for 120 trials (6 runs, 20 trls/run), with vision of the hand occluded. Participants were tasked to press a button with the left hand at the instance of perceived finger crossing. Feedback group (FB, n=9) received visual feedback as a numerical error (absolute finger separation at press), while the no- Feedback group (nFB, n=10) received a visual cue of ‘button press’. 19 channel EEG was acquired (DSI-24, Wearable Sensing, CA). EEG data was filtered (bandpass [0.1, 30] Hz), ICA denoised, baseline corrected (-200 to 0 ms) and epoched (-200 to 4000 ms) with respect to movement onset; noisy epochs were removed (+/- 100μV, <5% trials). Event Related Potentials (ERPs) were calculated as the mean across trials.
Results: Proprioceptive errors were smaller in the FB group compared to the nFB group (t-test, p < 0.01). 400-600 ms post button press, the FB group showed a lateralized ERP response in frontoparietal regions contralateral to the propriocepting hand, which increased with error magnitude (kw-test, p < 0.01), that was absent in the nFB group. EEG also showed a Contingent Negative Variation (CNV) at Cz, initiated at movement onset (initial stimulus), followed by a negative peak at perceived finger crossing (imperative stimulus). A mixed model (fixed factors: feedback, speed) performed on CNV magnitude (600-800ms post movement onset, 200-1200ms prior to cross over) showed an interaction between feedback and speed (p < 0.03). In the FB group, CNV magnitude increased with finger speed but not in the nFB group.
Conclusions: These results demonstrate that error feedback can improve proprioceptive acuity in healthy adults and is accompanied by an error-dependent ERP response in the sensorimotor cortex. The crisscross task also elicits a CNV response; we are the first to show modulation of CNV by proprioceptively- sensed speed and performance feedback.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Please fill out the form and provide a brief description of your application so we can help match you with products that will meet your specific needs.
Please fill out the form and provide a brief description of your application so we can help match you with products that will meet your specific needs.
Please fill out the form and provide a brief description of your application so we can help match you with products that will meet your specific needs.