2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献

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Neural drive estimation using the hypothesis of muscle synergies and the state-constrained Kalman filter 基于肌肉协同假设和状态约束卡尔曼滤波的神经驱动估计
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6696056
G. Rasool, K. Iqbal, N. Bouaynaya, G. White
{"title":"Neural drive estimation using the hypothesis of muscle synergies and the state-constrained Kalman filter","authors":"G. Rasool, K. Iqbal, N. Bouaynaya, G. White","doi":"10.1109/NER.2013.6696056","DOIUrl":"https://doi.org/10.1109/NER.2013.6696056","url":null,"abstract":"We explore the hypothesis of muscle synergies to estimate the neural drive (movement intent) for upper extremity myoelectric prosthesis using the surface myoelectric signals. Commonly employed pattern classification systems have certain limitations, like inherent discrete nature, finite movement classes and limited degrees-of-freedom. We propose a novel framework based on the state space modeling and the hypothesis of muscle synergies. The problem is formulated in the state space framework in a novel way, where the movement intent is modeled as the hidden state of the system. A continuous stream of the movement intent (the hidden state) is estimated using the state-constrained Kalman filter. Preliminary experimental results also confirm the applicability of the proposed framework for estimation of movement intent.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114773472","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: 11
An Alpha resting EEG study on nonlinear dynamic analysis for schizophrenia 精神分裂症的静息脑电图非线性动态分析研究
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6695977
Qinglin Zhao, Bin Hu, Yunpeng Li, Hong Peng, Lanlan Li, Quanying Liu, Yang Li, Qiuxia Shi, Jun-Qing Feng
{"title":"An Alpha resting EEG study on nonlinear dynamic analysis for schizophrenia","authors":"Qinglin Zhao, Bin Hu, Yunpeng Li, Hong Peng, Lanlan Li, Quanying Liu, Yang Li, Qiuxia Shi, Jun-Qing Feng","doi":"10.1109/NER.2013.6695977","DOIUrl":"https://doi.org/10.1109/NER.2013.6695977","url":null,"abstract":"Schizophrenia is a mental disorder that may include delusions, loss of personality, confusion, social withdrawal, psychosis, and bizarre behavior. In this study, we use Electroencephalogram (EEG) signals of the Alpha band to detect the differences between nonlinear EEG features of schizophrenic patients and non-psychiatric controls. EEG signals from 31 schizophrenic patients and 31 age/sex matched normal controls are recorded using 16 electrodes. We calculate permutation entropy, Kolmogorov entropy, the correlation dimension, spectral entropy and the results indicate that the EEG signals from schizophrenics are more complex and irregular than those from normal controls. We compare three feature classifiers (k-Nearest Neighbor, Support Vector Machine and Back-Propagation Neural Network). A feature selection method based on Fisher criterion is used for enhancing the performance of classifiers. The optimal accuracy rate comes from Back-Propagation Neural Network, which is 86.1%. We think that the statistic and classification results make our approach helpful for schizophrenia diagnosis.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114803844","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: 14
Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals 基于脑电图信号复发量化分析的自闭症谱系障碍风险早期检测
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6695906
T. Pistorius, C. Aldrich, L. Auret, J. Pineda
{"title":"Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals","authors":"T. Pistorius, C. Aldrich, L. Auret, J. Pineda","doi":"10.1109/NER.2013.6695906","DOIUrl":"https://doi.org/10.1109/NER.2013.6695906","url":null,"abstract":"Early detection of autism spectrum disorder (ASD) in infants is vital in maximizing the impact and potential long-term outcomes of early delivery of rehabilitative therapies. To date no definitive diagnostic test for ASD exists. Electroencephalography is a noninvasive method used to capture underlying electrical changes in brain activity. This proof-of-concept study suggests that recurrence quantification analysis features computed from resting state spontaneous eyes-closed electroencephalographic (EEG) signals may be useful biomarkers for early detection of risk of ASD.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114474026","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: 9
Efferent microneurography recordings: A tool for motor control study and hand-prosthesis decoding 传出微神经记录:运动控制研究和假肢解码的工具
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6695952
F. Petrini, S. Raspopovic, M. Bonizzato, F. Giambattistelli, L. Zollo, E. Guglielmelli, S. Micera
{"title":"Efferent microneurography recordings: A tool for motor control study and hand-prosthesis decoding","authors":"F. Petrini, S. Raspopovic, M. Bonizzato, F. Giambattistelli, L. Zollo, E. Guglielmelli, S. Micera","doi":"10.1109/NER.2013.6695952","DOIUrl":"https://doi.org/10.1109/NER.2013.6695952","url":null,"abstract":"Many efforts have been directed towards the characterization of nature and meaning of neural motor commands in persons with or without hand amputation. Microneurography is a well-established tool for afferent recordings, which could be potentially employed for a deeper understanding of hand motor control during manipulation tasks. Furthermore, it could hopefully enhance the assessment of users' capability to control prosthetic hands by means of residual electroneurographic signals. In the present study, the feasibility of recording of motor-related microneurographyic signals during different grasps is investigated, along with their successive signal processing and classification. Preliminary results show that microneurography could be a robust technique for in-depth understanding of the neural coding underlying motor control, and for improving peripheral nerve signal recording/decoding, in view of establishing precise peripheral nerve interfaces for hand prosthesis control.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114478900","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
Wireless kinematic body sensor network for low-cost neurotechnology applications “in-the-wild” “野外”低成本神经技术应用的无线运动身体传感器网络
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6696174
Constantinos Gavriel, A. Faisal
{"title":"Wireless kinematic body sensor network for low-cost neurotechnology applications “in-the-wild”","authors":"Constantinos Gavriel, A. Faisal","doi":"10.1109/NER.2013.6696174","DOIUrl":"https://doi.org/10.1109/NER.2013.6696174","url":null,"abstract":"We present an ultra-portable and low-cost body sensor network (BSN), which enables wireless recording of human motor movement kinematics and neurological signals in unconstrained, daily-life environments. This is crucial as activities of daily living (ADL) and thus metrics of everyday movement enable us to diagnose motor and neurological disorders in the patients context, and not artificial laboratory settings. Moreover, ADL kinematics inform us how to control neuroprosthetics and brain-machine interfaces in a natural manner. Our system uses a network of battery-powered embedded micro-controllers, to capture data from motion sensors placed all over the human body and wireless connectivity to stream process data in real time at 100 Hz. Our prototype compares well against two gold-standard measures, a ground-truth motion tracking system and high-end motion capture suit as reference. At 2.5% of the cost, performance in capturing natural joint kinematics are accurate R2 = 0.89 and precise RMSE = 1.19°. The system's low-cost (approximately $100 per unit), wireless capability, low weight and millimetre-scale size allow subjects to be unconstrained in their actions while having the sensors attached to everyday clothing. These features establish our system's usefulness in clinical studies, risk-group monitoring, neuroscience and neuroprosthetics.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114489485","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: 24
Canonical correlation approach to common spatial patterns 常见空间模式的典型相关方法
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6696023
Eunho Noh, V. D. de Sa
{"title":"Canonical correlation approach to common spatial patterns","authors":"Eunho Noh, V. D. de Sa","doi":"10.1109/NER.2013.6696023","DOIUrl":"https://doi.org/10.1109/NER.2013.6696023","url":null,"abstract":"Common spatial patterns (CSPs) are a way of spatially filtering EEG signals to increase the discriminability between the filtered variance/power between the two classes. The proposed canonical correlation approach to CSP (CCACSP) utilizes temporal information in the time series, in addition to exploiting the covariance structure of the different classes, to find filters which maximize the bandpower difference between the classes. We show with simulated data, that the unsupervised canonical correlation analysis (CCA) algorithm is better able to extract the original class-discriminative sources than the CSP algorithm in the presence of large amounts of additive Gaussian noise (while the CSP algorithm is better at very low noise levels) and that our CCACSP algorithm is a hybrid, yielding good performance at all noise levels. Finally, experiments on data from the BCI competitions confirm the effectiveness of the CCACSP algorithm and a merged CSP/CCACSP algorithm (mCCACSP).","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115300238","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: 12
A hybrid multi-channel surface EMG decomposition approach by combining CKC and FCM 结合CKC和FCM的混合多通道表面肌电信号分解方法
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6695940
Yong Ning, Shanan Zhu, Xiangjun Zhu, Yingchun Zhang
{"title":"A hybrid multi-channel surface EMG decomposition approach by combining CKC and FCM","authors":"Yong Ning, Shanan Zhu, Xiangjun Zhu, Yingchun Zhang","doi":"10.1109/NER.2013.6695940","DOIUrl":"https://doi.org/10.1109/NER.2013.6695940","url":null,"abstract":"A hybrid approach is successfully developed in this study by combining the fuzzy C means (FCM) clustering method and Convolution Kernel Compensation (CKC) method for multi-channel surface electromyogram (EMG) decomposition. The FCM is utilized to estimate the initial innervation pulse trains (IPTs) of motor units (MUs) from a few channel surface EMG signals, the CKC method is then employed to estimate the final IPTs. Computer simulation results demonstrate the improved efficiency and accuracy of the hybrid approach compared to the classic CKC method.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123105678","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: 1
Movement change induced by voluntary effort with low stimulation intensity FES-assisted dorsiflexion: A case study with a hemiplegic subject 低刺激强度fes辅助背屈的自主力引起的运动改变:一个偏瘫患者的案例研究
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6695938
Takashi Watanabe, Shun Endo, Katsunori Murakami, Yoshimi Kumagai, N. Kuge
{"title":"Movement change induced by voluntary effort with low stimulation intensity FES-assisted dorsiflexion: A case study with a hemiplegic subject","authors":"Takashi Watanabe, Shun Endo, Katsunori Murakami, Yoshimi Kumagai, N. Kuge","doi":"10.1109/NER.2013.6695938","DOIUrl":"https://doi.org/10.1109/NER.2013.6695938","url":null,"abstract":"This study focused on functional electrical stimulation (FES) to assist production of voluntary movement for gait rehabilitation of hemiplegic subjects. Movements during walking under the low stimulation intensity FES with voluntary effort of dorsiflexion (vL-FES) condition were compared with those under conditions of no stimulation, low intensity FES only and FES. Electrical stimulation was applied to assist ankle dorsiflexion in the swing phase. Gait movements were measured with wireless inertial sensors. It was shown that the vL-FES condition produced partly similar angle pattern with FES condition. It was also suggested from shortened stride time and increased inclination angle range of the thigh that walking speed increased under the vL-FES and FES walking conditions. However, electrical stimulation started at the heel off decreased plantar flexion of the foot at around the toe off. It was considered that the vL-FES condition could be useful as a method of rehabilitation using FES, and that plantar flexion control by FES or modifying the timing of applying electrical stimulation for ankle dorsiflexion had to be studied.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138800","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: 9
Proximally applied subsensory electrical noise stimulation reduces variance in action potential timing and enhances sensory perception 近端应用亚感觉电噪声刺激减少动作电位时间的变化,增强感觉知觉
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6695923
P. Breen, V. Macefield
{"title":"Proximally applied subsensory electrical noise stimulation reduces variance in action potential timing and enhances sensory perception","authors":"P. Breen, V. Macefield","doi":"10.1109/NER.2013.6695923","DOIUrl":"https://doi.org/10.1109/NER.2013.6695923","url":null,"abstract":"Loss of somatosensory function is detrimental to quality of life and is related to the loss of functional ability. Restoring sensitivity would have great potential in medicine. Previous work has demonstrated that the application of subsensory electrical noise can enhance sensitivity to a distal mechanical stimulus. In this paper we aimed to uncover the mechanism behind this enhancement. Two studies were performed, a microneurography study to investigate the effect of noise on action potential timing and a second psychophysics study to establish the effect of noise on sensory perception. We found that variance in action potential timing in response to a repetitive mechanical stimulus was reduced with an appropriate level of electrical noise. This phenomenon corresponds with an enhancement of sensory perception and reduced variability in a perceptual task.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124475438","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: 7
Human intracranial recordings during spatial exploration of a 3D virtual environment 在三维虚拟环境的空间探索中的人类颅内记录
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6695972
J. Snider, Omar J. Ahmed, E. Halgren, H. Poizner, S. Cash
{"title":"Human intracranial recordings during spatial exploration of a 3D virtual environment","authors":"J. Snider, Omar J. Ahmed, E. Halgren, H. Poizner, S. Cash","doi":"10.1109/NER.2013.6695972","DOIUrl":"https://doi.org/10.1109/NER.2013.6695972","url":null,"abstract":"Intracranial electroencephalography (iEEG) recorded electrical activity of populations of neurons in humans performing a spatial navigation task in a virtual reality. The task involved navigation in a virtual room and interaction with fixed objects located in that room. The θ (4-10Hz) frequency range of the recorded iEEG deep in the brain showed increased activity during virtual movement. The central part of that range showed a cluster of spatially dependent activity over the anterior temporal lobe (ATL), indicating that ATL may play an important, previously unrecognized, role in spatial processing.","PeriodicalId":156952,"journal":{"name":"2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124504764","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: 1
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