CLET: Computation of Latencies in Event-related potential Triggers using photodiode on virtual reality apparatuses DOI Creative Commons
Piyush Swami, Klaus Gramann, Elise Klæbo Vonstad

и другие.

Frontiers in Human Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Сен. 19, 2023

To investigate event-related activity in human brain dynamics as measured with EEG, triggers must be incorporated to indicate the onset of events experimental protocol. Such allow for extraction ERP, i.e., systematic electrophysiological responses internal or external stimuli that extracted from ongoing oscillatory by averaging several trials containing similar events. Due technical setup separate hardware sending and recording triggers, recorded data commonly involves latency differences between transmitted received triggers. The computation these latencies is critical shifting epochs respect sent. Otherwise, timing can lead a misinterpretation resulting ERPs. This study presents methodical approach CLET using photodiode on non-immersive VR (i.e., LED screen) an immersive HMD). Two sets algorithms are proposed analyze data. experiment designed this involved synchronization EMG, PPG, sensors, ten 3D MoCap cameras presentation platform (Unity). average computed screen set white black was 121.98 ± 8.71 ms 121.66 8.80 ms, respectively. In contrast, HMD 82.80 7.63 69.82 5.52 ms. codes analysis, along datasets, tables, tutorial video codes, have been made publicly available.

Язык: Английский

A review of combined functional neuroimaging and motion capture for motor rehabilitation DOI Creative Commons
E. Lorenz, Xiaomeng Su,

Nina Skjæret-Maroni

и другие.

Journal of NeuroEngineering and Rehabilitation, Год журнала: 2024, Номер 21(1)

Опубликована: Янв. 3, 2024

Abstract Background Technological advancements in functional neuroimaging and motion capture have led to the development of novel methods that facilitate diagnosis rehabilitation motor deficits. These allow for synchronous acquisition analysis complex signal streams neurophysiological data (e.g., EEG, fNIRS) behavioral capture). The fusion those has potential provide new insights into cortical mechanisms during movement, guide practices, become a tool assessment therapy neurorehabilitation. Research objective This paper aims review existing literature on combined use rehabilitation. is understand diversity maturity technological solutions employed explore clinical advantages this multimodal approach. Methods reviews related following PRISMA guidelines. Besides study participant characteristics, aspects used systems, processing methods, nature feature synchronization were extracted. Results Out 908 publications, 19 included final review. Basic or translation studies mainly represented based predominantly healthy participants stroke patients. EEG mechanical technologies most biomechanical acquisition, their subsequent traditional methods. system techniques at large underreported. features supported identification movement-related activity, statistical occasionally examine cortico-kinematic relationships. Conclusion might offer future. facilitating cognitive processes real-world settings, it could also improve rehabilitative devices’ usability environments. Further, by better understanding cortico-peripheral coupling, neuro-rehabilitation can be developed, such as personalized proprioceptive training. However, further research needed advance our knowledge cortical-peripheral evaluate validity reliability parameters, enhance user-friendly adaptation.

Язык: Английский

Процитировано

11
A method for synchronized use of EEG and eye tracking in fully immersive VR DOI Creative Commons

Olav F. P. Larsen,

William G. Tresselt,

E. Lorenz

и другие.

Frontiers in Human Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Фев. 26, 2024

This study explores the synchronization of multimodal physiological data streams, in particular, integration electroencephalography (EEG) with a virtual reality (VR) headset featuring eye-tracking capabilities. A potential use case for synchronized streams is demonstrated by implementing hybrid steady-state visually evoked (SSVEP) based brain-computer interface (BCI) speller within fully immersive VR environment. The hardware latency analysis reveals an average offset 36 ms between EEG and mean jitter 5.76 ms. further presents proof concept VR, showcasing its real-world applications. findings highlight feasibility combining commercial technologies neuroscientific research open new avenues studying brain activity ecologically valid environments. Future could focus on refining methods exploring applications various contexts, such as learning social interactions.

Язык: Английский

Процитировано

7
A comparative study to assess synchronisation methods for combined simultaneous EEG and TMS acquisition DOI Creative Commons
Isabela Marques Miziara, Nicholas Fallon, Andrew M. Marshall

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 14, 2025

Abstract Electroencephalography (EEG) combined with transcranial magnetic stimulation (TMS) provides valuable insights into cortical excitability and connectivity but faces challenges including data artefacts, limited spatial resolution, the need for standardised synchronisation protocols. This study evaluates three TMS-EEG paradigms using Lab Streaming Layer (LSL) to analyse time intervals latency. Paradigm 1 employs a software-based approach simultaneous pulses both EEG TMS devices. 2, another method, transmits pulse device first, followed by amplifier. 3 uses hardware-based where generated are directly routed Synchronisation was assessed at frequencies of 1, 5, 10, 20 Hz, each frequency tested ten times 100-pulse trains. Results demonstrate that superior performance, showing narrower distributions, lower interval error (TIE) latency values, higher precision accuracy. However, it requires high sample rate from amplifier limits additional integration. Paradigms while exhibiting greater variability precision, allow integration inter-pulse control via LSL. All achieved low timing values within acceptable applications, affirming their viability. The choice paradigm has significant impact on current lack standardisation in studies presents ongoing challenges. These findings underscore necessity selecting an appropriate method based specific requirements resources, potentially advancing protocols enhancing reliability research.

Язык: Английский

Процитировано

0
A Portable and Affordable Four-Channel EEG System for Emotion Recognition with Self-Supervised Feature Learning DOI Creative Commons
Hao Luo, Heng Li, Wei Tao

и другие.

Mathematics, Год журнала: 2025, Номер 13(10), С. 1608 - 1608

Опубликована: Май 14, 2025

Emotions play a pivotal role in shaping human decision-making, behavior, and physiological well-being. Electroencephalography (EEG)-based emotion recognition offers promising avenues for real-time self-monitoring affective computing applications. However, existing commercial solutions are often hindered by high costs, complicated deployment processes, limited reliability practical settings. To address these challenges, we propose low-cost, self-adaptive wearable EEG system through hardware–algorithm co-design approach. The proposed is four-channel wireless acquisition device supporting both dry wet electrodes, with component cost below USD 35. It features over 7 h of continuous operation, plug-and-play functionality, modular expandability. At the algorithmic level, introduce self-supervised feature extraction framework that combines contrastive learning masked prediction tasks, enabling robust emotional from number channels constrained signal quality. Our approach attains highest performance 60.2% accuracy 59.4% Macro-F1 score on our platform. Compared to conventional feature-based approaches, it demonstrates maximum improvement up 20.4% using multilayer perceptron classifier experiment.

Язык: Английский

Процитировано

0
TittaLSL: A toolbox for creating networked eye-tracking experiments in Python and MATLAB with Tobii eye trackers DOI Creative Commons
Diederick C. Niehorster, Marcus Nyström

Behavior Research Methods, Год журнала: 2025, Номер 57(7)

Опубликована: Июнь 4, 2025

Язык: Английский

Процитировано

0
An ecological study protocol for the multimodal investigation of the neurophysiological underpinnings of dyadic joint action DOI Creative Commons
Gabriella Tamburro, Patrique Fiedler, Antonio De Fano

и другие.

Frontiers in Human Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Дек. 6, 2023

A novel multimodal experimental setup and dyadic study protocol were designed to investigate the neurophysiological underpinnings of joint action through synchronous acquisition EEG, ECG, EMG, respiration kinematic data from two individuals engaged in ecologic naturalistic cooperative competitive actions involving face-to-face real-time real-space coordinated full body movements. Such studies are still missing because difficulties encountered recording reliable signals during gross movements, synchronizing multiple devices, defining suitable protocols. The includes both via EEG amplifiers a motion capture system that synchronized single-board microcomputer custom Python scripts. is recorded using new dry sports electrode caps. best exploit acquisitions. Table tennis motor task: it allows interpersonal interactions, free in-time in-space movement coordination, actions, task difficulty levels mimic changing external conditions. Recording conditions-including minimum table rally duration, sampling rate data, total duration recordings-were defined according requirements multilevel analytical approach including neural level (hyperbrain functional connectivity, Graph Theoretical measures Microstate analysis), cognitive-behavioral (integrated analysis data), social (extending Network Physiology interacting individuals). Four practical tests for skills select population, permitting skill-match dyad members form groups higher lower skilled dyads explore influence skill on performance. Psychometric instruments included assess personality traits support interpretation results. Studying with our proposed can advance understanding mechanisms sustaining daily life could help systems predict or behaviors before being overtly expressed, particularly useful real-life contexts where behavior main feature.

Язык: Английский

Процитировано

3
Wireless optically pumped magnetometer MEG DOI Creative Commons
Hao Cheng, Kaiyan He, Congcong Li

и другие.

NeuroImage, Год журнала: 2024, Номер 300, С. 120864 - 120864

Опубликована: Сен. 24, 2024

Язык: Английский

Процитировано

0
CLET: Computation of Latencies in Event-related potential Triggers using photodiode on virtual reality apparatuses DOI Creative Commons
Piyush Swami, Klaus Gramann, Elise Klæbo Vonstad

и другие.

Frontiers in Human Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Сен. 19, 2023

To investigate event-related activity in human brain dynamics as measured with EEG, triggers must be incorporated to indicate the onset of events experimental protocol. Such allow for extraction ERP, i.e., systematic electrophysiological responses internal or external stimuli that extracted from ongoing oscillatory by averaging several trials containing similar events. Due technical setup separate hardware sending and recording triggers, recorded data commonly involves latency differences between transmitted received triggers. The computation these latencies is critical shifting epochs respect sent. Otherwise, timing can lead a misinterpretation resulting ERPs. This study presents methodical approach CLET using photodiode on non-immersive VR (i.e., LED screen) an immersive HMD). Two sets algorithms are proposed analyze data. experiment designed this involved synchronization EMG, PPG, sensors, ten 3D MoCap cameras presentation platform (Unity). average computed screen set white black was 121.98 ± 8.71 ms 121.66 8.80 ms, respectively. In contrast, HMD 82.80 7.63 69.82 5.52 ms. codes analysis, along datasets, tables, tutorial video codes, have been made publicly available.

Язык: Английский

Процитировано

0