{"title":"A Neural Network Model for Human Performance Optimization in the Workplace","authors":"M. Ghaffari, A. Genaidy","doi":"10.1109/CNE.2005.1419708","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419708","url":null,"abstract":"The work compatibility is an integrated work design criterion that improves different aspects of human performance in a workplace. A neural network model has been developed for the work compatibility matrix. Operating zones have been established in which an employee can perform with a good performance and sustainability. A survey has been conducted and an application example has been provided to demonstrate the applicability of the human performance optimization model","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131703554","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}
{"title":"Generative Temporal ICA for Classification in Asynchronous BCI Systems","authors":"S. Chiappa, D. Barber","doi":"10.1109/CNE.2005.1419672","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419672","url":null,"abstract":"In this paper we investigate the use of a temporal extension of independent component analysis (ICA) for the discrimination of three mental tasks for asynchronous EEG-based brain computer interface systems. ICA is most commonly used with EEG for artifact identification with little work on the use of ICA for direct discrimination of different types of EEG signals. In a recent work we have shown that, by viewing ICA as a generative model, we can use Bayes' rule to form a classifier obtaining state-of-the-art results when compared to more traditional methods based on using temporal features as inputs to off-the-shelf classifiers. However, in that model no assumption on the temporal nature of the independent components was made. In this work we model the hidden components with an autoregressive process in order to investigate whether temporal information can bring any advantage in terms of discrimination of spontaneous mental tasks","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125634762","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}
{"title":"A Projection Approach of Optical Topographic Maps to the Cortical Surface of the Brain Abstract:","authors":"M. Mourad, M. Adjouadi, I. Yaylali","doi":"10.1109/CNE.2005.1419539","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419539","url":null,"abstract":"This research is aimed at integrating two-dimensional (2-D) optical topographic maps to anatomical magnetic resonance imaging (MRI) for 3-D functional brain mapping. The uniqueness of this approach is in mapping topographic maps to the cortex surface of the brain based on projections of the results obtained from the skull surface. MRI is known to provide information about the anatomical structure of the brain, while optical topography system (OTS) displays the changes in the cerebral blood flow in the form of a topographic image. The experiment is based on a repeated finger-tapping task using seven volunteers at Miami Children Hospital. The integration of both modalities reveal excellent prospects in localizing the activation that is seen by (OTS) on the 3D brain models constructed from MRI slices. This task demands the development of a computer program that will first identify the region on the 3-D head model from which the topographic image generated by OTS was taken. Second, the topographic images are registered to the 3-D head model. In order to validate our findings, a comparison is made between the fiducial markers (vitamin E) placed on the patients head during the MRI test to localize the probes location and an automated computer program that will detect the probes position. Using the brain extraction tool (BET), the warped topographic maps are then projected onto the cortex surface of the extracted brain. The proposed OTS-MRI integration is deemed an important field in the neuroscience, allowing investigation of a wide range of motor, sensory, and cognitive functions, as well as providing key information about anatomical structure of the brain","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132319043","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}
Deniz Erdoğmuş, A. Adami, M. Pavel, Tian Lan, S. Mathan, S. Whitlow, M. Dorneich
{"title":"Cognitive State Estimation Based on EEG for Augmented Cognition","authors":"Deniz Erdoğmuş, A. Adami, M. Pavel, Tian Lan, S. Mathan, S. Whitlow, M. Dorneich","doi":"10.1109/CNE.2005.1419686","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419686","url":null,"abstract":"Augmented cognition is an emerging concept that aims to enhance user performance and cognitive capabilities on the basis of adaptive assistance. An integral part of such systems is the automatic assessment of the instantaneous cognitive state of the user. This paper describes an automatic cognitive state estimation methodology based on the use of EEG measurements with ambulatory users. The required robustness in this context is achieved through the use of a mutual information based dimensionality reduction approach in conjunction with a committee of classifiers, and median filter outlier rejection element. We present classification results associated with cognitive tasks performed in mobile and stationary modalities","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128540896","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}
{"title":"Single trial EEG classification during finger movement task by using hidden Markov models","authors":"Yong Li, Guoya Dong, Xiaorong Gao, Shangkai Gao, Manling Ge, Weili Yan","doi":"10.1109/CNE.2005.1419702","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419702","url":null,"abstract":"A new algorithm based on hidden Markov models (HMM) to discriminate single trial electroencephalogram (EEG) between two conditions of finger movement task is proposed. Firstly, multi-channel EEG signals of single trial are filtered in both frequency and spatial domains. The pass bands of the two filters in frequency domain are 0~3 Hz and 8~30 Hz respectively, and the spatial filters are designed by the methods of common spatial subspace decomposition (CSSD). Secondly, two independent features are extracted based on HMM. Finally, the movement tasks are classified into two groups by a perceptron with the extracted features as inputs. With a leave-one out training and testing procedure, an average classification accuracy rate of 93.2% is obtained based on the data from five subjects. The proposed method can be used as an EEG-based brain computer interface (BCI) due to its high recognition rate and insensitivity to noise. In addition, it is suitable for either offline or online EEG analysis","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378107","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}
{"title":"Implanted FES for Upright Mobility in Paediatric Spinal Cord Injury: A Follow-up Report","authors":"B. Smith, T. Johnston, R. Betz, M. Mulcahey","doi":"10.1109/CNE.2005.1419635","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419635","url":null,"abstract":"Ten subjects, ages 7 to 20 years, received an 8-channel implanted lower extremity functional electrical stimulation (FES) system for standing and walking. Electrodes were placed for stimulation of hip and knee extensors, and for hip abduction and adduction. Standing and walking were achieved through constant stimulation to the implanted muscles, allowing a swing through gait pattern with an assistive device. After training with FES, subjects were tested in 3 upright mobility activities on an annual basis, which were scored based upon completion time and level of independence. Follow-up data were available for 7 of 10 subjects and spanned 1 to 5 years. Of the 21 activities tested (7 subjects times 3 activities), independence level with FES was improved or maintained in 15 cases (71%). For the 6 remaining cases (29%), moderate to minimal assistance was required at follow-up where no assistance was needed initially. Completion times were maintained or improved over follow-up in 17 of the 21 cases (81%). Perceived effort was rated as most reasonable in 71% of the cases initially and in 62% of the cases at the latest follow-up","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116905919","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}
{"title":"A Novel Feature Extraction Scheme for Myoelectric Signals Classification Using Higher Order Statistics","authors":"K. Nazarpour, A. Sharafat, S. Firoozabadi","doi":"10.1109/CNE.2005.1419615","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419615","url":null,"abstract":"We present a novel feature extraction scheme for surface myoelectric signal (sMES) classification. We employ a multilayer perceptron (MLP) in which the feature vector is a mix of the second-, the third-, and the fourth order cumulants of the sMES stationary segments obtained from two recording channels. To reduce the number of features to a sufficient minimum, while retaining their discriminatory information, we employ the method of principle components analysis (PCA). The detected sMES is used to classify four upper limb primitive motions, i.e., elbow flexion (F), elbow extension (E), wrist supination (S), and wrist pronation (P). Simulation results indicate a substantial reduction in the required computations to achieve similar results as compared to existing methods","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117012071","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}
C.T. Yang, L. Vaca, R. Roy, H. Zhong, V. Edgerton, J. Judy
{"title":"Neural-Ensemble Activity of Spinal Cord L1/L2 During Stepping in a Decerebrate Rat Preparation","authors":"C.T. Yang, L. Vaca, R. Roy, H. Zhong, V. Edgerton, J. Judy","doi":"10.1109/CNE.2005.1419554","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419554","url":null,"abstract":"Interneuronal networks within the L1-L2 region of the spinal cord are intrinsically capable of coordinating the activation of multiple functional muscle groups as required for locomotion. This paper demonstrates the use of microelectrode arrays for mapping extracellular spike activity and local-field potentials in the lumbar spinal cord of rats. Locomotion was studied in acute decerebrate rats by stimulation of the mesencephalic locomotor region (MLR) to induce stepping. Neural-ensemble activity during stepping was correlated with electromyograms (EMG) from ankle flexors and extensors. To visualize the activity, spatiotemporal population maps were generated from the recorded step cycles. These results will shed light on the organization of locomotor pattern generating circuits and identify active regions for stimulation. In future studies, we will test patterned electrical stimulation of the identified hotspots in spinal-cord-transected rats. These efforts will be directed towards the development of a functional stimulator for locomotion in paralyzed patients","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115537663","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}
{"title":"A New Overlapping Resolution Method for Multi-channel Spike Sorting","authors":"J. Choi, Dohoon Kim, Taejeong Kim","doi":"10.1109/CNE.2005.1419717","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419717","url":null,"abstract":"Overlapping is one of the serious problems in the spike sorting of multi-channel recordings. Although techniques to resolve this problem have been developed, there still remains much room for improvement. We present in this paper a new overlapping resolution method which is simple and can easily be incorporated in the existing spike sorting systems. The proposed method combines spike sorting algorithms with the linear projections, such that each projection eliminates single-neuronal activity. Simulations show that our method successfully resolves overlapping in real neural data","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127237345","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}
{"title":"Neuromorphic algorithm for retinal implants","authors":"D. Bálya, B. Roska","doi":"10.1109/CNE.2005.1419582","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419582","url":null,"abstract":"The paper focuses on the input transformation for retinal implants. It describes a novel retina model, based on neurobiological measurements. Our modeling approach is neuromorphic, however the primary motivation is to derive an algorithmic skeleton from the animal retina measurements. The on-line, real-time implementation of the algorithm is given for an off-the-shelf stand-alone system, called Bi-I","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127080834","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}