2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第5页

Automatic High-Frequency Oscillations Detection Using Time-Frequency Analysis 自动高频振荡检测使用时频分析

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123882

E. Mirzakhalili, Christopher D. Adam, A. V. Ulyanova, V. Johnson, J. Wolf

{"title":"Automatic High-Frequency Oscillations Detection Using Time-Frequency Analysis","authors":"E. Mirzakhalili, Christopher D. Adam, A. V. Ulyanova, V. Johnson, J. Wolf","doi":"10.1109/NER52421.2023.10123882","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123882","url":null,"abstract":"The role of high-frequency oscillations (HFO) has been established in a multitude of the brain functions such as retrieval and consolidation of memory. Moreover, HFOs have been identified as a biomarker for pathological brain conditions, including epileptogenicity. Therefore, there has been a continuous effort to reliably detect and characterize HFOs. Here, we present an unsupervised HFO detector using characteristics of signals in the time-frequency domain obtained by continuous wavelet transform. By using L1 normalization for continuous wavelet transform, we improved the detection of HFOs without the need to normalize time-frequency maps. The elimination of normalizing the time-frequency maps reduces the computational cost of the analysis. We used two different benchmark datasets available in the literature to validate our proposed automatic HFO detector. The results demonstrate that our detector outperforms other commonly available HFO detectors including those that use time-frequency maps. Our HFO detector shows superior performance especially when signal-to-noise ratio (SNR) is low. Moreover, our detector can simultaneously detect artifacts, physiological spikes, and provide useful information about the HFOs such as their dominant frequency of oscillation, their average amplitude and their duration. This information can later be utilized to stratify HFOs for further analysis. Changes in HFO characteristics may be utilized as biomarkers in pathological conditions such as post-traumatic epilepsy.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122757463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model predictive control of a soft elbow exosuit reduces interaction torque 软肘式外服模型预测控制降低了相互作用力矩

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123906

N. Tacca, John Nassour, Gordon Cheng

{"title":"Model predictive control of a soft elbow exosuit reduces interaction torque","authors":"N. Tacca, John Nassour, Gordon Cheng","doi":"10.1109/NER52421.2023.10123906","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123906","url":null,"abstract":"Incorporating soft materials into active exosuits has shown promise to provide assistance in a comfortable user-centric interface for the wearer. In order for individuals to be able to seamlessly operate an exosuit, user intention must be decoded so that the exosuit can move according to user expectations. Existing exosuit control methods aim to reduce an interaction torque between the wearer and exosuit inferred from the decoded intent from a high-level control scheme. Due to the nonlinearity response of the soft materials, however, sophisticated methods of optimal control from robotics have not been used to minimize this interaction torque. A model predictive controller (MPC) may be able to predict future interaction conflicts between the wearer and exosuit assistance in order to preemptively reduce this interaction torque to provide assistance in line with intentions. Here, we experimentally approximate a model for our soft pneumatic elbow exosuit and demonstrate the feasibility of using a low-level MPC to reduce interaction torque determined from a gravity compensation high-level control approach. We demonstrate that in a step flexion response of the system, the MPC reduces oscillations around the target exosuit torque compared to on/off and PID controllers. These results demonstrate that using a model-based predictive approach reduces the interaction between the wearer and exosuit for a more naturalistic interface.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124120036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human-Centered Design of a Vibrotactile Sensory Substitution Belt for Feet Somatosensation in a Patient with Multiple Sclerosis 以人为本设计用于多发性硬化症患者足部体感的振动触觉感觉替代带

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123871

Laura Pilger, Nicolas Berberich, Natalia Paredes-Acuña, Adrian Dendorfer, J. R. Guadarrama-Olvera, Florian Bergner, D. Utpadel-Fischler, Gordon Cheng

{"title":"Human-Centered Design of a Vibrotactile Sensory Substitution Belt for Feet Somatosensation in a Patient with Multiple Sclerosis","authors":"Laura Pilger, Nicolas Berberich, Natalia Paredes-Acuña, Adrian Dendorfer, J. R. Guadarrama-Olvera, Florian Bergner, D. Utpadel-Fischler, Gordon Cheng","doi":"10.1109/NER52421.2023.10123871","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123871","url":null,"abstract":"Patients without sensation in their feet due to peripheral neuropathy or spinal cord injury have difficulty with balancing and walking. For patients with sensory loss in other modalities such as vision or hearing, sensory substitution devices have shown to be effective assistive technologies. To support the ethical design and user acceptance of novel assistive systems, the inclusion of patients from the start of the development process is an important factor. In this paper, we present the human-centered design of a sensory substitution device together with a patient lacking somatosensation in the feet. Force distribution during balancing and walking was measured with robotic skin soles and mapped to vibrotactile stimulation through motors integrated into a wearable belt. We discuss how the values and priorities of the patient were included in the system design and present her feedback obtained during a user evaluation session. Using our sensory substitution device, 5 healthy participants were able to distinguish the feedback patterns based on force distributions from 6 different phases of the gait cycle and 3 balancing conditions with 93.2% accuracy.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124220215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Combining Density based and Linear Discriminant Approaches for Motor Imagery Classification* 基于密度和线性判别方法的运动图像分类*

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123732

H. Cecotti

{"title":"Combining Density based and Linear Discriminant Approaches for Motor Imagery Classification*","authors":"H. Cecotti","doi":"10.1109/NER52421.2023.10123732","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123732","url":null,"abstract":"For transferring brain-computer interfaces outside of the lab to clinical settings, it is necessary to have a high accuracy with models having a limited number of hyper-parameters. State of the art techniques include discriminant approaches using spatial filters, deep learning, and density based methods using Riemannian geometry. We propose a pattern recognition system for the multiclass classification of brain evoked responses corresponding to motor imagery that combines features obtained from the Riemannian geometry, with distances to the mean of each class, with a discriminant approach (Bayesian linear discriminant analysis) using 15 frequency bands from 8 to 24 Hz to cover the mu and beta bands. We investigate the impact of these different frequency bands, separated in four sets, on the accuracy and how frequency bands selection using backward elimination or forward addition can enhance the accuracy of the classification tasks. These approaches were evaluated on the publicly available dataset 2A (4 classes - 9 subjects) and (2 classes - 14 subjects). While there are differences between bands and across subjects, the best overall performance was obtained with all the bands. The kappa value for multiclass motor imagery detection is 0.60. The average binary classification across the six pairwise tasks is 80.83%.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"63 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125940060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explainable AI for EEG Biomarkers Identification in Obstructive Sleep Apnea Severity Scoring Task 阻塞性睡眠呼吸暂停严重程度评分任务中EEG生物标志物识别的可解释AI

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123795

L. L. Fisca, Celiane Jennebauffe, M. Bruyneel, L. Ris, L. Lefebvre, Xavier Siebert, B. Gosselin

{"title":"Explainable AI for EEG Biomarkers Identification in Obstructive Sleep Apnea Severity Scoring Task","authors":"L. L. Fisca, Celiane Jennebauffe, M. Bruyneel, L. Ris, L. Lefebvre, Xavier Siebert, B. Gosselin","doi":"10.1109/NER52421.2023.10123795","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123795","url":null,"abstract":"The assessment of Obstructive Sleep Apneas and hypopneas (OSAs) severity has known an increasing interest over the last decade with the use of Apnea-Hypopnea Index (AHI) being highly criticized by the majority of sleep scientists. To go beyond the single AHI, alternative metrics such as hypoxic burden, arousal intensity, odds ratio product, and cardiopulmonary coupling have been investigated in the literature. However, no consensus has currently been found for a common efficient metric. In this paper, we propose a novel architecture of deep learning model aiming at discovering an objective metric for OSAs severity assessment. We demonstrate the efficiency of this method by identifying features of interest in the Electroencephalographic (EEG) signals while training the model based on biomarkers not or indirectly derived from the EEG, i.e. the desaturation area, the arousal events and the respiratory event duration. By inspecting what the model looks for to make the different classifications, we identified that EEG signals from posterior and medial regions in low frequency bands (0–8 Hz) are highly affected by the apnea-hypopnea severity. With this proof of concept, we pave the way towards the use of Explainable Artificial Intelligence (xAI) to make OSAs severity assessment more objective and find a consensus metric adopted across the community of sleep scientists as well as to boost EEG biomarkers discovery in multiple tasks.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129602568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An anatomically and biophysically realistic rodent subthalamic nucleus neuron model 一个解剖学和生物物理上真实的啮齿动物丘脑下核神经元模型

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123731

Hengji Chen, M. S. Noor, Clayton S. Bingham, C. McIntyre

{"title":"An anatomically and biophysically realistic rodent subthalamic nucleus neuron model","authors":"Hengji Chen, M. S. Noor, Clayton S. Bingham, C. McIntyre","doi":"10.1109/NER52421.2023.10123731","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123731","url":null,"abstract":"The subthalamic nucleus (STN) is the primary target for deep brain stimulation (DBS) to treat the motor symptoms of Parkinson's disease (PD). However, the mechanisms of action of STN DBS remain unclear. Computational models of STN neurons are used to investigate the mechanisms of STN DBS and study the biophysics of STN local field potentials (LFPs). However, the only existing multicompartment model of an STN neuron, Gillies and Willshaw (GW) model, is anatomically and biophysically incomplete. It lacks an axon and has an unrealistic ion channel distribution. Therefore, we improved upon the GW STN neuron model and optimized its biophysics (21 biophysical parameters) using experimental electrophysiological recordings as validation constraints. Parameter optimization was performed with a genetic algorithm which generated around half a million phenotypes using crossover and mutation. Then it selected the best candidates employing several cost functions. These cost functions were based on electrophysiological features commonly used to characterize a neuron and include spontaneous spike rate, membrane potential in response to a hyperpolarization current, and the frequency-current curve. The costs for each phenotype were summed to select the best performing model. The resulting STN neuron model performed better than the original GW model and can be used in computational modeling of STN DBS and LFPs.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128877744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neurostimulation Perception Obeys Strength-Duration Curves and is Primarily Driven by Pulse Amplitude 神经刺激感知服从强度-持续时间曲线，主要由脉冲振幅驱动

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123893

Eric J. Earley, M. Ortiz-Catalán

{"title":"Neurostimulation Perception Obeys Strength-Duration Curves and is Primarily Driven by Pulse Amplitude","authors":"Eric J. Earley, M. Ortiz-Catalán","doi":"10.1109/NER52421.2023.10123893","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123893","url":null,"abstract":"Stimulation of peripheral nerves can elicit sensations that are felt on distal or amputated portions of the limb, and thus is a promising technique to provide sensory feedback for prosthetic limbs. Sensory feedback provided in this way can confer a sense of proportionality by modulating the frequency, amplitude, and duration of stimulation pulses, however the relationship between stimulation amplitude and pulse duration has not been characterized. In this study, we demonstrate that neurostimulation perception closely follows strength-duration curve models and are generally constant over the course of up to 24 months, with a median rheobasic current of 113 $mu mathbf{A}$ and chronaxie of 193 $mumathrm{s}$. Monotonicity and concavity of data are also demonstrated to significantly predict the confidence interval size for rheobase and chronaxie estimates. Goodness of fit for the strength-duration curve model was high for data which showed significant monotonicity. Furthermore, modeling the psychometric response of stimulation amplitude and duration modulation revealed that amplitude modulation has just-noticeable difference of 7.7%, less than half that of duration modulation at 18.3%. The results taken together suggest that the strength-duration curve framework describes both nerve excitation and perception threshold relationships, and that neurostimulation pulse amplitude primarily drives discrimination for modulating sensory feedback.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115864639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Investigation of functional integration of cortical organoids transplanted in vivo towards future neural prosthetics applications 面向未来神经假体应用的体内移植皮层有机体功能整合研究

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123847

M. Wilson, Martin Thunemann, F. Puppo, Emily Martin, Rebeca Blanch, F. Gage, A. Muotri, A. Devor, D. Kuzum

{"title":"Investigation of functional integration of cortical organoids transplanted in vivo towards future neural prosthetics applications","authors":"M. Wilson, Martin Thunemann, F. Puppo, Emily Martin, Rebeca Blanch, F. Gage, A. Muotri, A. Devor, D. Kuzum","doi":"10.1109/NER52421.2023.10123847","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123847","url":null,"abstract":"Cortical organoids are rapidly emerging as models for brain development and dysfunction because they bridge the benefits of physiological manipulability of in vitro cultures with the complexity of in vivo brains. Organoids offer a host of benefits including the ability to perform patient-specific drug screening, study brain development, and investigate disease. Another promising application of organoids is as neural prosthetics, where if a brain region is damaged or degenerated, an organoid can be grown from the patient's stem cells and be implanted to restore lost function. Here, we implant hiPSC-derived cortical organoids in the retrosplenial cortices (RSC) of mice and to see if the organoids can form functional connections to the surrounding host cortices. Using transparent graphene microelectrode arrays (MEA) for electrophysiology and two-photon imaging of organoids, we observe a response to the external light stimuli, suggesting functional synaptic connections had formed between organoids and cortex. Bursts of cell population calcium activity are observed with two-photon imaging and suggest a mature internal network. Post-mortem histology and vasculature tracing suggests morphological integration of organoid cells into mouse cortex and mouse vessels and synapses into organoid. Overall, our multimodal platform offers a way to study organoids in vivo longitudinally and investigate their development and integration with host cortex and their potential use for cell replacement therapy.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126839797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Months-long High-performance Fixed LSTM Decoder for Cursor Control in Human Intracortical Brain-computer Interfaces 用于人脑皮层内脑机接口光标控制的高性能固定LSTM解码器

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123740

Tommy Hosman, Tsam Kiu Pun, Anastasia Kapitonava, J. Simeral, L. Hochberg

{"title":"Months-long High-performance Fixed LSTM Decoder for Cursor Control in Human Intracortical Brain-computer Interfaces","authors":"Tommy Hosman, Tsam Kiu Pun, Anastasia Kapitonava, J. Simeral, L. Hochberg","doi":"10.1109/NER52421.2023.10123740","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123740","url":null,"abstract":"Intracortical brain-computer interfaces (iBCIs) enable high performance cursor control for people with tetraplegia by inferring motor intentions from neural recordings. However, current methods rely on frequent decoder recalibrations to reduce performance fluctuations attributable to instability in neural recordings. Towards clinical translation, iBCIs must sustain high performance over long periods of time with minimal interruptions to the user. Recent non-human primate (NHP) studies indicate that recurrent neural network (RNN) decoders are more robust to neural variability. Here, we demonstrate that an RNN variant, a long short-term memory (LSTM) neural decoder, provides online long-term, stable two-dimensional cursor control for a participant with tetraplegia enrolled in the BrainGate2 clinical trial. An LSTM decoder was trained with multiple days of the participant's historical intracortical motor cortex recordings spanning seventy days. The LSTM decoder was then fixed and evaluated online as the participant used the iBCI to control a computer cursor during a center out and back task for 15 sessions across four months. The LSTM demonstrated high performance for the first three months without recalibration or adaptive parameter updates with an average performance of 93.8% of targets acquired. This longitudinal study suggests that a nonlinear RNN-based decoder can provide stable, intuitive control of 2-D kinematics by humans with tetraplegia.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123804217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Identifying Artistic Expertise Difference in Emotion Recognition in Response to Oil Paintings 油画反应情绪识别的艺术专长差异研究

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123777

Yu-Ting Lan, Ze-Chen Li, Dan Peng, Wei-Long Zheng, Bao-Liang Lu

{"title":"Identifying Artistic Expertise Difference in Emotion Recognition in Response to Oil Paintings","authors":"Yu-Ting Lan, Ze-Chen Li, Dan Peng, Wei-Long Zheng, Bao-Liang Lu","doi":"10.1109/NER52421.2023.10123777","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123777","url":null,"abstract":"Previous studies have been conducted on building emotion recognition frameworks and enhancing their performances using Electroencephalography (EEG) and eye tracking signals. However, the differences between experts in art and non-experts in emotion recognition still remain to be elucidated. In this paper, we systematically evaluate the performance of various computational models for emotion recognition in response to oil paintings and identify the differences between experts in art and non-experts. The experimental results demonstrate that Transformer neural networks achieve the highest accuracies of 65.27% in three-category emotion recognition (negative, neutral, and positive) in response to oil paintings. Although the overall emotion recognition accuracies of the two groups are similar, the mean accuracy of the non-expert group for positive emotion is higher than that of experts, and the expert group has higher recognition accuracy in neutral emotion than the non-expert group. We further investigate the neural patterns of the three emotions in the two groups. The experimental results indicate that neural pattern differences do exist in both emotions and artistic expertise. The parietal and occipital lobes are more activated for positive emotion in the artistic expert group in the alpha, beta, and gamma bands. Our proposed methods provide an understanding of underlying emotion-expertise neurological mechanisms and cognitive processes.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128944842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0