Sound perception in realistic surgery scenarios: Towards EEG-based auditory work strain measures for medical personnel. DOI Creative Commons
Marc Rosenkranz, Thorge Haupt, Manuela Jaeger

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 8, 2024

ABSTRACT Surgical personnel face various stressors in the workplace, including environmental sounds. Mobile electroencephalography (EEG) offers a promising approach for objectively measuring how individuals perceive In this study, we utilized mobile EEG to explore realistic soundscape is perceived during simulated laparoscopic surgery. To examine varying demands placed on different situations, manipulated cognitive demand surgical task, using memory task. assess responses soundscape, calculated event-related potentials distinct sound events and temporal response functions ongoing soundscape. Although participants reported degrees of under conditions, no significant effects were observed task performance or parameters. However, changes parameters over time noted, while subjective results remained consistent time. These findings highlight importance multiple measures fully understand complex relationship between processing demand. Furthermore, context combined audio recordings real-life scenarios, sparse representations have advantages more detailed representations. Our indicate that both types are equally effective eliciting neural responses. Overall, study marks step towards investigating applied settings.

Language: Английский

Wireless EEG: A survey of systems and studies DOI Creative Commons
Guiomar Niso, Elena Romero, Jeremy T. Moreau

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 269, P. 119774 - 119774

Published: Dec. 22, 2022

The popular brain monitoring method of electroencephalography (EEG) has seen a surge in commercial attention recent years, focusing mostly on hardware miniaturization. This led to varied landscape portable EEG devices with wireless capability, allowing them be used by relatively unconstrained users real-life conditions outside the laboratory. wide availability and relative affordability these provide low entry threshold for newcomers field research. large device variety at times opaque communication from their manufacturers, however, can make it difficult obtain an overview this landscape. Similarly, given breadth existing (wireless) knowledge research, challenging get started novel ideas. Therefore, paper first provides list 48 along number important-sometimes difficult-to-obtain-features characteristics enable side-by-side comparison, brief introduction each aspects how they may influence one's decision. Secondly, we have surveyed previous literature focused 110 high-impact journal publications making use EEG, which categorized application analyzed used, channels, sample size, participant mobility. Together, basis informed decision respect experimental precedents when considering new, At same time, background material commentary about pitfalls caveats regarding increasingly accessible line

Language: Английский

Citations

128

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

Zhouheng Wang,

Nanlin Shi, Yingchao Zhang

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: July 14, 2023

Brain-computer interfaces (BCIs) have attracted considerable attention in motor and language rehabilitation. Most devices use cap-based non-invasive, headband-based commercial products or microneedle-based invasive approaches, which are constrained for inconvenience, limited applications, inflammation risks even irreversible damage to soft tissues. Here, we propose in-ear visual auditory BCIs based on bioelectronics, named as SpiralE, can adaptively expand spiral along the meatus under electrothermal actuation ensure conformal contact. Participants achieve offline accuracies of 95% 9-target steady state evoked potential (SSVEP) BCI classification type target phrases successfully a calibration-free 40-target online SSVEP speller experiment. Interestingly, SSVEPs exhibit significant 2

Language: Английский

Citations

50

Opportunities and Limitations of Mobile Neuroimaging Technologies in Educational Neuroscience DOI Creative Commons
Tieme W. P. Janssen, Jennie K. Grammer, Martin G. Bleichner

et al.

Mind Brain and Education, Journal Year: 2021, Volume and Issue: 15(4), P. 354 - 370

Published: Oct. 5, 2021

As the field of educational neuroscience continues to grow, questions have emerged regarding ecological validity and applicability this research practice. Recent advances in mobile neuroimaging technologies made it possible conduct neuroscientific studies directly naturalistic learning environments. We propose that embedding a cycle (Matusz, Dikker, Huth, & Perrodin, 2019), involving lab-based, seminaturalistic, fully experiments, is well suited for addressing questions. With review, we take cautious approach, by discussing valuable insights can be gained from technology, including electroencephalography functional near-infrared spectroscopy, as challenges posed bringing methods into classroom. Research paradigms used alongside technology vary considerably. To illustrate point, are discussed with increasingly designs. conclude several ethical considerations should taken account unique area research.

Language: Английский

Citations

64

Introducing the Microbes and Social Equity Working Group: Considering the Microbial Components of Social, Environmental, and Health Justice DOI
Suzanne L. Ishaq, Francisco J. Parada, Patricia G. Wolf

et al.

mSystems, Journal Year: 2021, Volume and Issue: 6(4)

Published: July 27, 2021

Humans are inextricably linked to each other and our natural world, microorganisms lie at the nexus of those interactions. Microorganisms form genetically flexible, taxonomically diverse, biochemically rich communities, i.e., microbiomes that integral health development macroorganisms, societies, ecosystems.

Language: Английский

Citations

59

Neuroscience and architecture: Modulating behavior through sensorimotor responses to the built environment DOI Creative Commons
Zakaria Djebbara, Ole B. Jensen, Francisco J. Parada

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 138, P. 104715 - 104715

Published: May 30, 2022

As we move through the world, natural and built environments implicitly guide behavior by appealing to certain sensory motor dynamics. This process can be motivated automatic attention environmental features that resonate with specific sensorimotor responses. review aims at providing a psychobiological framework describing how lead automated responses defined neurophysiological mechanisms underlying attention. Through use of processes in subsets cortical structures, goal this is describe on neuronal level functional link between designed environment By distinguishing elaborate employs for adaptation. realized thalamo-cortical network integrating aspects behavior. We highlight transthalamic transmission from an Enactive predictive perspective recent studies effectively modulated systematically manipulating features. end suggesting promising combination neuroimaging computational analysis future studies.

Language: Английский

Citations

43

Attention Detection Using EEG Signals and Machine Learning: A Review DOI
Qianru Sun, Yueying Zhou, Peiliang Gong

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Attention detection using electroencephalogram (EEG) signals has become a popular topic. However, there seems to be notable gap in the literature regarding comprehensive and systematic reviews of machine learning methods for attention EEG signals. Therefore, this survey outlines recent advances EEG-based within past five years, with primary focus on auditory (AAD) level classification. First, we provide brief overview commonly used paradigms, preprocessing techniques, artifact-handling methods, as well listing accessible datasets these studies. Next, summarize classification field divide them into two categories: traditional deep methods. We also analyse most frequently discuss factors influencing each technique's performance applicability. Finally, existing challenges future trends field.

Language: Английский

Citations

1

Approach–Avoidance Bias in Virtual and Real-World Simulations: Insights from a Systematic Review of Experimental Setups DOI Creative Commons
Aitana Grasso‐Cladera, John Madrid-Carvajal, Sven Walter

et al.

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 103 - 103

Published: Jan. 22, 2025

Background: Approach and avoidance bias (AAB) describes automatic behavioral tendencies to react toward environmental stimuli regarding their emotional valence. Traditional setups have provided evidence but often lack ecological validity. The study of the AAB in naturalistic contexts has recently increased, revealing significant methodological challenges. This systematic review evaluates use virtual reality (VR) real-world AAB, summarizing innovations Methods: We systematically reviewed peer-reviewed articles employing VR investigate AAB. analyzed experimental designs, stimuli, response metrics, technical aspects assess alignment with research objectives identify limitations. Results: included 14 studies diverse methodologies, stimulus types, novel responses, highlighting variability design strategies coherence. Several used traditional reaction time measures yet varied application technology participant interaction paradigms. Some showed discrepancies between simulated natural bodily actions, while others showcased more integrated approaches that preserved integrity. Only a minority control conditions or acquired (neuro)physiological data. Conclusions: offers potential setup for studying enabling dynamic immersive interactions. Our results underscore importance establishing coherent framework investigating using VR. Addressing foundational challenges developing baseline principles guide VR-based designs within is essential advancing application. will ultimately contribute reliable reproducible paradigms develop effective interventions help individuals recognize change biases, fostering balanced behaviors.

Language: Английский

Citations

1

The future of wearable EEG: a review of ear-EEG technology and its applications DOI
Netiwit Kaongoen, Jae-Hoon Choi, Jin Woo Choi

et al.

Journal of Neural Engineering, Journal Year: 2023, Volume and Issue: 20(5), P. 051002 - 051002

Published: Sept. 25, 2023

Objective.This review paper provides a comprehensive overview of ear-electroencephalogram (EEG) technology, which involves recording EEG signals from electrodes placed in or around the ear, and its applications field neural engineering.Approach.We conducted thorough literature search using multiple databases to identify relevant studies related ear-EEG technology various applications. We selected 123 publications synthesized information highlight main findings trends this field.Main results.Our highlights potential as future wearable technology. discuss advantages limitations compared traditional scalp-based methods overcome those limitations. Through our review, we found that is promising method produces comparable results conventional methods. development sensing devices, including design, types sensors, materials. also current state research on different application areas such brain-computer interfaces, clinical monitoring.Significance.This first focus solely reviewing articles. As such, it serves valuable resource for researchers, clinicians, engineers working engineering. Our sheds light exciting prospects ear-EEG, advance engineering become

Language: Английский

Citations

21

A Versatile In-Ear Biosensing System and Body-Area Network for Unobtrusive Continuous Health Monitoring DOI
Akshay Paul, Min Lee, Yuchen Xu

et al.

IEEE Transactions on Biomedical Circuits and Systems, Journal Year: 2023, Volume and Issue: 17(3), P. 483 - 494

Published: May 3, 2023

To enable continuous, mobile health monitoring, body-worn sensors need to offer comparable performance clinical devices in a lightweight, unobtrusive package. This work presents complete versatile wireless electrophysiology data acquisition system (weDAQ) that is demonstrated for in-ear electroencephalography (EEG) and other on-body with user-generic dry-contact electrodes made from standard printed circuit boards (PCBs). Each weDAQ device provides 16 recording channels, driven right leg (DRL), 3-axis accelerometer, local storage, adaptable transmission modes. The interface supports deployment of body area network (BAN) capable aggregating various biosignal streams over multiple worn simultaneously, on the 802.11n WiFi protocol. channel resolves biopotentials ranging 5 orders magnitude noise level 0.52 μV

Language: Английский

Citations

18

Capturing Cognitive Events Embedded in the Real World Using Mobile Electroencephalography and Eye-Tracking DOI Creative Commons
Simon Ladouce, Magda Mustile, Magdalena Ietswaart

et al.

Journal of Cognitive Neuroscience, Journal Year: 2022, Volume and Issue: 34(12), P. 2237 - 2255

Published: Jan. 1, 2022

Abstract The study of cognitive processes underlying natural behaviors implies departing from computerized paradigms and artificial experimental probes. present aims to assess the feasibility capturing neural markers (P300 ERPs) evoked in response identification task-relevant objects embedded a real-world environment. To this end, EEG eye-tracking data were recorded while participants attended stimuli presented on tablet they searched for books library. Initial analyses library revealed that P300-like features shifted time. A Dynamic Time Warping analysis confirmed presence P300 ERP condition. Library then lag-corrected based cross-correlation coefficients. Together, these approaches uncovered responses recordings. These findings highlight relevance scalable designs, joint brain body recordings, template-matching capture events during behaviors.

Language: Английский

Citations

27