D. Truong, A. Datta, Jiansong Xu, F. Fregni, M. Bikson
{"title":"Prefrontal cortex transcranial direct current stimulation via a combined high definition and conventional electrode montage: A FEM modeling studying","authors":"D. Truong, A. Datta, Jiansong Xu, F. Fregni, M. Bikson","doi":"10.1109/EMBC.2012.6347509","DOIUrl":"https://doi.org/10.1109/EMBC.2012.6347509","url":null,"abstract":"The document that should appear here is not currently available.","PeriodicalId":218020,"journal":{"name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116217592","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":"Accuracy evaluation on linear measurement through opto-electronic plethysmograph","authors":"F. Bastianini, E. Schena, S. Silvestri","doi":"10.1109/EMBC.2012.6674230","DOIUrl":"https://doi.org/10.1109/EMBC.2012.6674230","url":null,"abstract":"Opto-electronic plethysmograph (OEP) is a motion analysis device able to measure chest wal l motion and volume variation by surface measurement. The estimation is obtained through displacements measurements of markers placed on the thorax. Therefore OEP accuracy on markers' displacement measurements may play a role in the volume's measurement. The aim of present work is to evaluate OEP accuracy in the estimation of linear displacements, taking into account the contribution due of number of cameras, markers size and displacement magni tude. A linear DC-motor was used to move the marker fixed on its shaft. Trials have been carried out varying 1) marker size (diameters of 6 mm and 12 mm) , 2) cameras number (2, 4, and 6) and 3) the magni tude of displacements ( from 10 μm up to 200 μm). Number of cameras and marker size do not seem to play a crucial role as far as it concerns accuracy on linear displacements. The relative percentage uncertainty decreases from 10% to 6% for marker A, increasing number of cameras from 2 to 6; for marker B, the percentage relative error decreases from 17% to 10%, increasing number of cameras from 2 to 4. Moreover, OEP shows a discrimination threshold of 30 μm.","PeriodicalId":218020,"journal":{"name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134292174","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":"Study on an online collaborative BCI to accelerate response to visual targets","authors":"Peng Yuan, Yijun Wang, Wei Wu, Honglai Xu, Xiaorong Gao, Shangkai Gao","doi":"10.1109/EMBC.2012.6346284","DOIUrl":"https://doi.org/10.1109/EMBC.2012.6346284","url":null,"abstract":"Using brain-computer interfaces (BCIs) to improve human performance has become a state-of-the-art research topic. The concept of collaborative BCIs, which aimed to use multi-brain computing to enhance human performance, was proposed recently. To further study the feasibility of collaborative BCIs, here we propose to develop an online collaborative BCI to accelerate human response to visual target stimuli by detecting multi-subjects' visual evoked potentials (VEPs). A spatial filtering algorithm which maximized the signal-to-noise ratio was used to extract VEP components from multichannel EEG. A two-layer support vector machine was subsequently used for target detection. Results of an offline analysis indicated that the system could achieve high accuracies (above 90%) at the stage before the behavioral response time (RT) (332±98ms). In online experiments with three groups of participants (each with three subjects), the system achieved significantly enhanced accuracies (79%, 82%, and 95% for three groups, respectively) at 120 ms after the target onset, which on average was 11% higher than the average individual accuracy, and 6% higher than the best individual accuracy.","PeriodicalId":218020,"journal":{"name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129495530","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":"Assessing traumatic brain injuries using EEG power spectral analysis and instantaneous phase","authors":"A. Napoli, M. Barbe, K. Darvish, I. Obeid","doi":"10.1109/NEBC.2012.6206935","DOIUrl":"https://doi.org/10.1109/NEBC.2012.6206935","url":null,"abstract":"Although mild traumatic brain injury (mTBI) occurs commonly, little is known about how multiple mTBI incidents accumulate over time to produce serious morbidity or how the extent of injury can be quantified. This work presents a rat model that uses deceleration-induced brain trauma and an implantable EEG system for recording injury-induced changes in brain activity. Specifically, we present an analysis method to assess and quantify mTBI by combining information derived from EEG power spectral analysis and EEG phase shifts. We found that in different frequency bands, both EEG power spectra and the instantaneous phases of the two EEG channels before the impact were different from those measured after the impact. This study shows that EEG analysis can be used as a tool to identify and assess brain related injuries.","PeriodicalId":218020,"journal":{"name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125747132","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":"Losless EEG signal compression","authors":"A. Gumusalan, Z. Arnavut, H. Kocak","doi":"10.1109/ICSCCW.2009.5379436","DOIUrl":"https://doi.org/10.1109/ICSCCW.2009.5379436","url":null,"abstract":"In this work, we study the lossless compression of EEG (electroencephalograph) signals using linear prediction and arithmetic coder. We show that, when we separate the less significant bits of each signal, linear prediction techniques yield better prediction, and with a structured arithmetic coder not only our technique achieves better compression rates than other techniques reported previously, but also our technique is much faster than the others.","PeriodicalId":218020,"journal":{"name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129177736","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}