{"title":"Revealing critical channels and frequency bands for emotion recognition from EEG with deep belief network","authors":"Wei-Long Zheng, Hao-Tian Guo, Bao-Liang Lu","doi":"10.1109/NER.2015.7146583","DOIUrl":"https://doi.org/10.1109/NER.2015.7146583","url":null,"abstract":"For EEG-based emotion recognition tasks, there are many irrelevant channel signals contained in multichannel EEG data, which may cause noise and degrade the performance of emotion recognition systems. In order to tackle this problem, we propose a novel deep belief network (DBN) based method for examining critical channels and frequency bands in this paper. First, we design an emotion experiment and collect EEG data while subjects are watching emotional film clips. Then we train DBN for recognizing three emotions (positive, neutral, and negative) with extracted differential entropy features as input and compare DBN with other shallow models such as KNN, LR, and SVM. The experiment results show that DBN achieves the best average accuracy of 86.08%. We further explore critical channels and frequency bands by examining the weight distribution learned by DBN, which is different from the existing work. We identify four profiles with 4, 6, 9 and 12 channels, which achieve recognition accuracies of 82.88%, 85.03%, 84.02%, 86.65%, respectively, using SVM.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869507","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}
Angelica I. Avilés, Samar M. Alsaleh, P. Sobrevilla, A. Casals
{"title":"Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery","authors":"Angelica I. Avilés, Samar M. Alsaleh, P. Sobrevilla, A. Casals","doi":"10.1109/NER.2015.7146566","DOIUrl":"https://doi.org/10.1109/NER.2015.7146566","url":null,"abstract":"This paper addresses the issue of lack of force feedback in robotic-assisted minimally invasive surgeries. Force is an important measure for surgeons in order to prevent intra-operative complications and tissue damage. Thus, an innovative neuro-vision based force estimation approach is proposed. Tissue surface displacement is first measured via minimization of an energy functional. A neuro approach is then used to establish a geometric-visual relation and estimate the applied force. The proposed approach eliminates the need of add-on sensors, carrying out biocompatibility studies and is applicable to tissues of any shape. Moreover, we provided an improvement from 15.14% to 56.16% over other approaches which demonstrate the potential of our proposal.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124296595","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":"Effects of stratum corneum and conductive gel properties on sensory afferents recruitment by 3D TENS computational modeling","authors":"U. K. Zhu, P. Li, G. Chai, X. Sui","doi":"10.1109/NER.2015.7146670","DOIUrl":"https://doi.org/10.1109/NER.2015.7146670","url":null,"abstract":"Incorporation of tactile sensory feedback by non-invasive transcutaneous electrical nerve stimulation (TENS) is potentially helpful for a prosthetic hand to accomplish dexterous manipulation. As for TENS through surface electrode, the stimulating current flows directly through the conductive gel and the stratum corneum (SC) layers to activate the tactile afferent nerve fibers. In our study the specific modulation effect of recruiting afferent nerve fibers in the two layers was investigated by establishing a 3D finite element model of the forearm. The results showed that both decreasing the gel thickness and increasing the gel resistivity improved the electrical stimulation sensitivity for electrotactile feedback, which would be beneficial to lower the threshold current of TENS. Meanwhile, decreasing the SC resistivity was also beneficial to improve the electrical stimulation sensitivity, but the variations of the normal SC thickness had negligible influence on the sensitivity. On one hand, these results gave us a specific guidance for choosing appropriate property parameters for conductive gel. On the other hand, both the thickness and resistivity of SC were susceptible to age, gender, and physical conditions etc., so it was significant for us to comprehend specific modulation effect under variation of SC properties.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122532481","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":"Evaluation of the feasibility of a novel distance adaptable steady-state visual evoked potential based brain-computer interface","authors":"Chi-Hsu Wu, H. Lakany","doi":"10.1109/NER.2015.7146559","DOIUrl":"https://doi.org/10.1109/NER.2015.7146559","url":null,"abstract":"Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has attracted great attention in BCI research due to its advantages over the other electroencephalography (EEG) based BCI paradigms, such as high speed, high signal to noise ratio, high accuracy, commands scalability and minimal user training time. Several studies have demonstrated that SSVEP BCI can provide a reliable channel to the users to communicate and control an external device. While most SSVEP based BCI studies focus on encoding the visual stimuli, enhancing the signal detection and improving the classification accuracy, there is a need to bridge the gap between BCI “bench” research and real world application. This study proposes a novel distance adaptable SSVEP based BCI paradigm which allows its users to operate the system in a range of viewing distances between the user and the visual stimulator. Unlike conventional SSVEP BCI where users can only operate the system at a fixed distance in front of the visual stimulator, users can operate the proposed BCI at a range of viewing distances. 10 healthy subjects participated in the experiment to evaluate the feasibility of the proposed SSVEP BCI. The visual stimulator was presented to the subjects at 4 viewing distances, 60cm, 150cm, 250cm and 350cm. The mean classification accuracy across the subjects and the viewing distances is over 75%. The results demonstrate the feasibility of a distance adaptable SSVEP based BCI.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127894160","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}
K. Paralikar, W. Santa, Rajesh Iyer, A. Thom, Xin Su, Erik Hovland, David A. Dinsmoor, Gordon Munns, Steve J. May, Erik R. Scott, T. Denison
{"title":"A fully implantable and rechargeable neurostimulation system for animal research","authors":"K. Paralikar, W. Santa, Rajesh Iyer, A. Thom, Xin Su, Erik Hovland, David A. Dinsmoor, Gordon Munns, Steve J. May, Erik R. Scott, T. Denison","doi":"10.1109/NER.2015.7146648","DOIUrl":"https://doi.org/10.1109/NER.2015.7146648","url":null,"abstract":"A neurostimulation system consisting of a reusable, four-channel, fully-implantable rechargeable neurostimulator (INS), recharger and wireless controller is described. The intent of the system is to enable acute and chronic research with stimulation codes and patterns in rodents and large animals as a means to understand the underlying neuroscience principles responsible for neuromodulation therapy, explore improved outcomes for existing therapies and identify potential new therapies. The total volume of the INS is 3cc including the rechargeable battery, stimulation system and low volume lead connector block. Wireless telemetry is inductive and operational with up to 60 cm of separation from the controller so as to enable untethered, real-time program updates.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130891260","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}
Shenglong Jiang, Long Chen, Zhongpeng Wang, Jiapeng Xu, Cheng Qi, Hongzhi Qi, Feng He, Dong Ming
{"title":"Application of BCI-FES system on stroke rehabilitation","authors":"Shenglong Jiang, Long Chen, Zhongpeng Wang, Jiapeng Xu, Cheng Qi, Hongzhi Qi, Feng He, Dong Ming","doi":"10.1109/NER.2015.7146823","DOIUrl":"https://doi.org/10.1109/NER.2015.7146823","url":null,"abstract":"Rehabilitation of motor impairment after stroke has an important medical value. However, the present stroke rehabilitation mainly are passive, its efficacy is limited. The BCI-FES system focused on the limit of passive stroke rehabilitation, combined with motor imagery (MI) and functional electrical stimulation (FES), through the pattern recognition of motor imagery mode of patients with EEG signal, generated FES signal. The BCI-FES system achieved the active rehabilitation of patients with mind-control, stimulated brain plasticity and improved rehabilitation efficacy. In this study, the BCI-FES system and clinical rehabilitation evaluation of post-stroke hemiplegia patients was investigated, and the rehabilitation efficacy showed, affected motor related cortex of patient subject was activated significantly, and motor function was further enhanced, by brain plasticity guidance of BCI-FES.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130902129","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}
F. Bottausci, F. Baleras, Catherine Pudda, M. Cochet, Claude Chabrol, F. Sauter-Starace, Julie Oziat, Maelys Rovetta, B. Icard, D. Guiraud, J. Divoux, C. Malbert, C. Henry, S. Maubert
{"title":"New sectorized implantable microelectrode fabrication, packaging and ageing for neural sensing and stimulation","authors":"F. Bottausci, F. Baleras, Catherine Pudda, M. Cochet, Claude Chabrol, F. Sauter-Starace, Julie Oziat, Maelys Rovetta, B. Icard, D. Guiraud, J. Divoux, C. Malbert, C. Henry, S. Maubert","doi":"10.1109/NER.2015.7146660","DOIUrl":"https://doi.org/10.1109/NER.2015.7146660","url":null,"abstract":"This paper describes the fabrication and the packaging of a flexible parylene-based multi-contact electrode embedded in a silicone-based cuff. This type of electrode is well suited for peripheral nerve recording and offers improved spatial selectivity. We conducted mechanical and electrical tests for assessing the reliability by using an accelerated lifetime protocol. Test structures made with platinum sandwiched with parylene C were designed. The accelerated lifetime soaking tests in phosphate buffered saline (PBS) solution at 67°C showed a longer life time (approximatively 4.5 years) with a dehydration bake introduction in the process flow and a parylene thickness increase. A specific test bench was developed for the mechanical cycling and for evaluating the mechanical robustness of the thin film devices.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"20 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130982502","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}
John A. Spanias, A. M. Simon, Kimberly A. Ingraham, L. Hargrove
{"title":"Effect of additional mechanical sensor data on an EMG-based pattern recognition system for a powered leg prosthesis","authors":"John A. Spanias, A. M. Simon, Kimberly A. Ingraham, L. Hargrove","doi":"10.1109/NER.2015.7146704","DOIUrl":"https://doi.org/10.1109/NER.2015.7146704","url":null,"abstract":"Powered lower limb prostheses can improve amputees' ability to traverse stairs and ramps by providing positive mechanical work at the knee and ankle joint. EMG signals have been proposed as one way of providing seamless mode transitions by using them in combination with embedded mechanical sensors as inputs to a pattern recognition system that predicts the user's desired locomotion mode. In this study, we have expanded the amount of mechanical sensor information to include data from an additional five degrees of freedom in the load cell, as well as calculated thigh and shank angles. The purpose of this study was to determine the impact of this additional information on the performance of an EMG-based pattern recognition system designed to predict the desired locomotion mode. Our results indicate that including the additional mechanical sensor signals decreased the error rates of the system for both steady-state and transitional steps when compared to the reduced sensor set. We also found that EMG still decreased the error rate of the system, but to a lesser extent when using the additional mechanical sensors.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915643","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}
D. Rathbun, A. Jalligampala, K. Stingl, E. Zrenner
{"title":"To what extent can retinal prostheses restore vision?","authors":"D. Rathbun, A. Jalligampala, K. Stingl, E. Zrenner","doi":"10.1109/NER.2015.7146605","DOIUrl":"https://doi.org/10.1109/NER.2015.7146605","url":null,"abstract":"After a general consideration of the various approaches to electrical stimulation of the retina, a thorough in vitro investigation of retinal responses to voltage-controlled stimuli is discussed within the context of the Alpha IMS subretinal implant (Retina Implant AG, Reutlingen, Germany). This is supplemented by a clinical trial interim report describing results obtained in 29 patients blind from retinitis pigmentosa who have received the Alpha IMS implant. It is concluded that the surgical procedure is safe and blind patients can benefit in visual tasks of daily life with this device that has meanwhile received approval for commercial use in Europe.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130009428","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}
A. Fiorillo, S. Pullano, M. Menniti, R. Citraro, G. Sarro, E. Russo
{"title":"A brain-to-sonar electronic interface to bypass peripheral auditory system in rats","authors":"A. Fiorillo, S. Pullano, M. Menniti, R. Citraro, G. Sarro, E. Russo","doi":"10.1109/NER.2015.7146557","DOIUrl":"https://doi.org/10.1109/NER.2015.7146557","url":null,"abstract":"Hearing loss is one of the most common neural impairments and is usually due to damage to peripheral structures. The insertion of a specific electronic interface along the auditory pathway, bypassing the area of peripheral damage, can at least partially reactivate the auditory faculty. Herein, a rat brain stimulation technique based on an ultrasound system is presented. The complete system consists of two polyvinylidene-fluoride transducers and an electronic interface, which processes ultrasounds in the air mimicking what happens in the cochlea, simulating action potentials spontaneously generated by the hair cells and then sending them to the brain. The cortical response is closely connected to environmental characteristics carried out by the external stimuli presented to the inferior colliculus, bypassing the sense organ.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127090062","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}