Pub Date : 2007-09-14DOI: 10.1007/978-3-540-74771-0_6
Ping-jun Zhang, C. Tu, Xiaoyan Li, Yanjun Zeng
{"title":"Hybrid processing and time-frequency analysis of ECG signal","authors":"Ping-jun Zhang, C. Tu, Xiaoyan Li, Yanjun Zeng","doi":"10.1007/978-3-540-74771-0_6","DOIUrl":"https://doi.org/10.1007/978-3-540-74771-0_6","url":null,"abstract":"","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121390676","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}
Pub Date : 2006-06-01DOI: 10.1093/ietisy/e89-d.6.1790
J. Hori, K. Sakano, Y. Saitoh
A communication interface controlled by eye movements and voluntary eye blink has been developed for disabled individuals who have motor paralysis and therefore cannot speak. Horizontal and vertical electro-oculograms were measured using two surface electrodes referring to an earlobe electrode. Four directional cursor movements and one selection were realized by logically combining the detected two channel signals. Virtual input experiments were conducted on a virtual screen keyboard. Its usability and accuracy were improved using our proposed method.
{"title":"Development of communication supporting device controlled by eye movements and voluntary eye blink","authors":"J. Hori, K. Sakano, Y. Saitoh","doi":"10.1093/ietisy/e89-d.6.1790","DOIUrl":"https://doi.org/10.1093/ietisy/e89-d.6.1790","url":null,"abstract":"A communication interface controlled by eye movements and voluntary eye blink has been developed for disabled individuals who have motor paralysis and therefore cannot speak. Horizontal and vertical electro-oculograms were measured using two surface electrodes referring to an earlobe electrode. Four directional cursor movements and one selection were realized by logically combining the detected two channel signals. Virtual input experiments were conducted on a virtual screen keyboard. Its usability and accuracy were improved using our proposed method.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128340168","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}
Pub Date : 2005-08-29DOI: 10.1109/ICORR.2005.1502023
R. Boian, M. Bouzit, G. Burdea, J. Lewis, J. Deutsch
A robotic mobility simulator is being developed to allow training on various hapticly simulated surfaces while still being in the safe clinical environment. The simulator is integrated with a rich virtual environment displayed in front of the patient. The system uses two Stewart platform robots to render the walking surface geometry and condition. The hardware components of the platforms and the considerations behind their design are presented here. In addition, the nine state algorithm used for simulating the treadmill functioning is described along with the procedure used to transform the motion of the robots into walking in the virtual environment.
{"title":"Dual Stewart platform mobility simulator","authors":"R. Boian, M. Bouzit, G. Burdea, J. Lewis, J. Deutsch","doi":"10.1109/ICORR.2005.1502023","DOIUrl":"https://doi.org/10.1109/ICORR.2005.1502023","url":null,"abstract":"A robotic mobility simulator is being developed to allow training on various hapticly simulated surfaces while still being in the safe clinical environment. The simulator is integrated with a rich virtual environment displayed in front of the patient. The system uses two Stewart platform robots to render the walking surface geometry and condition. The hardware components of the platforms and the considerations behind their design are presented here. In addition, the nine state algorithm used for simulating the treadmill functioning is described along with the procedure used to transform the motion of the robots into walking in the virtual environment.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123177158","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}
Pub Date : 2005-03-16DOI: 10.1109/CNE.2005.1419704
Huan Nai-Jen, Ramaswamy Palaniappan
Classification of EEG signals extracted during mental tasks is a technique for designing brain computer interfaces (BCI). We classify EEG signals that were extracted during mental tasks using fixed autoregressive (FAR) and adaptive AR (AAR) models. Five different mental tasks from 4 subjects were used in the experimental study and combinations of 2 different mental tasks are studied for each subject. Four different feature extraction methods were used to extract features from these EEG signals: FAR coefficients computed with Burg's algorithm using 125 data points, without segmentation and with segmentation of 25 data points, AAR coefficients computed with least-mean-square (LMS) algorithm using 125 data points, without segmentation and with segmentation of 25 data points. Multilayer perception (MLP) neural network (NN) trained by the backpropagation (BP) algorithm is used to classify these features into the different categories representing the mental tasks. The best results for FAR was 92.70% while for AAR was only 81.80%. The results obtained here indicated that FAR using 125 data points without segmentation gave better classification performance as compared to AAR, with all other parameters constant.
{"title":"Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals","authors":"Huan Nai-Jen, Ramaswamy Palaniappan","doi":"10.1109/CNE.2005.1419704","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419704","url":null,"abstract":"Classification of EEG signals extracted during mental tasks is a technique for designing brain computer interfaces (BCI). We classify EEG signals that were extracted during mental tasks using fixed autoregressive (FAR) and adaptive AR (AAR) models. Five different mental tasks from 4 subjects were used in the experimental study and combinations of 2 different mental tasks are studied for each subject. Four different feature extraction methods were used to extract features from these EEG signals: FAR coefficients computed with Burg's algorithm using 125 data points, without segmentation and with segmentation of 25 data points, AAR coefficients computed with least-mean-square (LMS) algorithm using 125 data points, without segmentation and with segmentation of 25 data points. Multilayer perception (MLP) neural network (NN) trained by the backpropagation (BP) algorithm is used to classify these features into the different categories representing the mental tasks. The best results for FAR was 92.70% while for AAR was only 81.80%. The results obtained here indicated that FAR using 125 data points without segmentation gave better classification performance as compared to AAR, with all other parameters constant.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"114 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":"121424758","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}
Pub Date : 2004-09-01DOI: 10.1109/IEMBS.2004.1404234
Y.C. Zhang, S.A. Zhu, L. Ding, Z.M. Liu, Bin He
Cortical imaging technique (CIT) is an effective spatial enhancement approach to noninvasively image dynamic brain activity with high spatial resolution. The accuracy of forward problem in CIT has an importance on the accuracy of estimated cortical potentials. In this paper, we investigate finite-element-algorithms relating the cortical potentials to the scalp potentials. The numerical accuracy of the FEM algorithm being considered was assessed by computer simulations. The present simulation results suggest that the present FEM model has the similar accuracy as compared with the conventional model, but offers convenience in the application. The present algorithm has been tested in a realistic geometry head model.
{"title":"On the forward problem of EEG cortical imaging by means of finite element method","authors":"Y.C. Zhang, S.A. Zhu, L. Ding, Z.M. Liu, Bin He","doi":"10.1109/IEMBS.2004.1404234","DOIUrl":"https://doi.org/10.1109/IEMBS.2004.1404234","url":null,"abstract":"Cortical imaging technique (CIT) is an effective spatial enhancement approach to noninvasively image dynamic brain activity with high spatial resolution. The accuracy of forward problem in CIT has an importance on the accuracy of estimated cortical potentials. In this paper, we investigate finite-element-algorithms relating the cortical potentials to the scalp potentials. The numerical accuracy of the FEM algorithm being considered was assessed by computer simulations. The present simulation results suggest that the present FEM model has the similar accuracy as compared with the conventional model, but offers convenience in the application. The present algorithm has been tested in a realistic geometry head model.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134345553","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}
Pub Date : 2004-09-01DOI: 10.1109/IEMBS.2004.1404205
A. Widge, M. Jeffries‐EL, Y. Matsuoka
Highly intimate contact between an electrode and a living neuron is strongly desired by both basic neuroscientists and engineers seeking to develop more effective neural prostheses. The net resistance between electrode and cell must be decreased in order to improve the quality of recordings and deliver the minimum necessary stimulating current specifically to the target cell. The ideal situation would be to establish chronic intracellular contact, bypassing the resistance of the cell membrane and the surrounding tissue. We present here evidence that regioregular polythiophene conductive polymers increase the electrical conductance of an artificial lipid bilayer that simulates a cell membrane. Our initial data on its behavior suggest that the polymer is freely diffusing within the lipid phase. This implies that these polymers, if tethered to a larger microelectrode, could permit long-term sustainable intracellular stimulation and recording. We therefore believe that this new molecule, when further developed, has the potential to significantly improve the performance of existing chronic electrode systems and possibly to enable new types of biosensors.
{"title":"Conductive polymer \"molecular wires\" increase conductance across artificial cell membranes","authors":"A. Widge, M. Jeffries‐EL, Y. Matsuoka","doi":"10.1109/IEMBS.2004.1404205","DOIUrl":"https://doi.org/10.1109/IEMBS.2004.1404205","url":null,"abstract":"Highly intimate contact between an electrode and a living neuron is strongly desired by both basic neuroscientists and engineers seeking to develop more effective neural prostheses. The net resistance between electrode and cell must be decreased in order to improve the quality of recordings and deliver the minimum necessary stimulating current specifically to the target cell. The ideal situation would be to establish chronic intracellular contact, bypassing the resistance of the cell membrane and the surrounding tissue. We present here evidence that regioregular polythiophene conductive polymers increase the electrical conductance of an artificial lipid bilayer that simulates a cell membrane. Our initial data on its behavior suggest that the polymer is freely diffusing within the lipid phase. This implies that these polymers, if tethered to a larger microelectrode, could permit long-term sustainable intracellular stimulation and recording. We therefore believe that this new molecule, when further developed, has the potential to significantly improve the performance of existing chronic electrode systems and possibly to enable new types of biosensors.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127528431","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}
Pub Date : 2004-06-26DOI: 10.1109/ISSMD.2004.1689554
P. Manwaring, D. Wichern, M. Manwaring, J. Manwaring, K. Manwaring
Patients with increased intracranial pressure (ICP) caused by hydrocephalus or brain injury have poor brain compliance or increased brain stiffness. The condition is commonly treated by a surgical diversion of cerebrospinal fluid (CSF) through placement of a ventriculoperitoneal (VP) shunt. These inserted devices frequently fail and require replacement. Assessment of failed devices typically requires an invasive surgical procedure to implant an ICP sensor. Brain compliance can be determined non-invasively by comparing the intracranial pressure (ICP) waveform to the digital artery waveform. The ICP waveform is derived from a piezo sensor snugged into the external ear canal and worn as a headset. The digital artery waveform is derived from a stand pulse oximeter. Digital signal processing performed on sampled data from these two sensors shows a time-lag or phase relationship between the two waves which widens with worsening brain stiffness or compliance. An algorithm is presented that shows how these signals can be used to compute brain compliance. An instrument designed to calculate real-time brain compliance to aid healthcare professionals is described.
{"title":"A signal analysis algorithm for determining brain compliance non-invasively","authors":"P. Manwaring, D. Wichern, M. Manwaring, J. Manwaring, K. Manwaring","doi":"10.1109/ISSMD.2004.1689554","DOIUrl":"https://doi.org/10.1109/ISSMD.2004.1689554","url":null,"abstract":"Patients with increased intracranial pressure (ICP) caused by hydrocephalus or brain injury have poor brain compliance or increased brain stiffness. The condition is commonly treated by a surgical diversion of cerebrospinal fluid (CSF) through placement of a ventriculoperitoneal (VP) shunt. These inserted devices frequently fail and require replacement. Assessment of failed devices typically requires an invasive surgical procedure to implant an ICP sensor. Brain compliance can be determined non-invasively by comparing the intracranial pressure (ICP) waveform to the digital artery waveform. The ICP waveform is derived from a piezo sensor snugged into the external ear canal and worn as a headset. The digital artery waveform is derived from a stand pulse oximeter. Digital signal processing performed on sampled data from these two sensors shows a time-lag or phase relationship between the two waves which widens with worsening brain stiffness or compliance. An algorithm is presented that shows how these signals can be used to compute brain compliance. An instrument designed to calculate real-time brain compliance to aid healthcare professionals is described.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130824892","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}
Pub Date : 2004-05-17DOI: 10.1109/ICASSP.2004.1327176
Z. Aydın, Y. Altunbasak, M. Borodovsky
Secondary structure prediction has been an essential task in determining the structure and function of the proteins. Prediction accuracy is improving every year towards the 88% estimated theoretical limit. There are two approaches for the secondary structure prediction. The first one, ab initio (single sequence) prediction does not use any homology information. The evolutionary information, if available, is used by the second approach to improve the prediction accuracy by a few percentages. In this paper, we address the problem of single sequence prediction by developing a semi Markov HMM, similar to the one proposed by Schmidler et al.. We introduce a better dependency model by considering the statistically significant amino acid correlation patterns at segment borders. Also, we propose an internal dependency model considering right to left dependencies without modifying the left to right HMM topology. In addition, we propose an iterative training method to better estimate the HMM parameters. Putting all these together, we obtained 1.5% improvement in three-state-per-residue accuracy.
{"title":"Protein secondary structure prediction with semi Markov HMMs","authors":"Z. Aydın, Y. Altunbasak, M. Borodovsky","doi":"10.1109/ICASSP.2004.1327176","DOIUrl":"https://doi.org/10.1109/ICASSP.2004.1327176","url":null,"abstract":"Secondary structure prediction has been an essential task in determining the structure and function of the proteins. Prediction accuracy is improving every year towards the 88% estimated theoretical limit. There are two approaches for the secondary structure prediction. The first one, ab initio (single sequence) prediction does not use any homology information. The evolutionary information, if available, is used by the second approach to improve the prediction accuracy by a few percentages. In this paper, we address the problem of single sequence prediction by developing a semi Markov HMM, similar to the one proposed by Schmidler et al.. We introduce a better dependency model by considering the statistically significant amino acid correlation patterns at segment borders. Also, we propose an internal dependency model considering right to left dependencies without modifying the left to right HMM topology. In addition, we propose an iterative training method to better estimate the HMM parameters. Putting all these together, we obtained 1.5% improvement in three-state-per-residue accuracy.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130534010","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. Blattert, R. Jurischka, I. Tahhan, A. Schoth, P. Kerth, Wolfgang Menz
Most clinical chemistry tests are performed on cell-free serum or plasma. Therefore micro assay devices for blood tests require integrated on-chip microfluidics for separation of plasma or serum from blood. This is achieved by a new blood separation technique based on a microchannel bend structure developed within the collaborative microtele-biochip (/spl mu/TBC) project co-funded by the German Ministry for education and research (BMBF). Different prototype polymer chips have been manufactured with an UV-LIGA process and hot embossing technology. The separation efficiency of these chips has been determined with samples of human whole blood as well as diluted blood samples. The results show different separation efficiencies up to 90% for blood cells and plasma depending on microchannel geometry as well as cell concentration. As compared to present microfluidic devices for the separation of blood cells like filters or filtration by diffusion the microchannel bend is an integrated on-chip blood separation method, which combines the advantages of rapid separation times and a simple geometry.
{"title":"Separation of blood in microchannel bends","authors":"C. Blattert, R. Jurischka, I. Tahhan, A. Schoth, P. Kerth, Wolfgang Menz","doi":"10.1117/12.522780","DOIUrl":"https://doi.org/10.1117/12.522780","url":null,"abstract":"Most clinical chemistry tests are performed on cell-free serum or plasma. Therefore micro assay devices for blood tests require integrated on-chip microfluidics for separation of plasma or serum from blood. This is achieved by a new blood separation technique based on a microchannel bend structure developed within the collaborative microtele-biochip (/spl mu/TBC) project co-funded by the German Ministry for education and research (BMBF). Different prototype polymer chips have been manufactured with an UV-LIGA process and hot embossing technology. The separation efficiency of these chips has been determined with samples of human whole blood as well as diluted blood samples. The results show different separation efficiencies up to 90% for blood cells and plasma depending on microchannel geometry as well as cell concentration. As compared to present microfluidic devices for the separation of blood cells like filters or filtration by diffusion the microchannel bend is an integrated on-chip blood separation method, which combines the advantages of rapid separation times and a simple geometry.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117019332","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}
Pub Date : 1900-01-01DOI: 10.1109/IEMBS.2004.1403766
B. Ziaie, R. Siegel
This session is intended to provide insight into the development of bioMEMS in the academic and industrial settings and address the current challenges facing R&D. Each speaker will address the field of bioMEMS and collaborations between academia and industry from his point-of-view and provide examples of developmental successes and failures in his setting. The speakers will also submit potential solutions to the organizational problems they presently face and foresee in the future. As a panel, the speakers will exchange ideas with the attendees with the hope of collectively introducing solutions to the problems submitted during the talks and general guidelines for successful R&D of BioMEMS through productive collaboration among engineers and scientists of different disciplines and between academia and industry.
{"title":"Hydrogel-based bioMEMS platforms for smart drug delivery","authors":"B. Ziaie, R. Siegel","doi":"10.1109/IEMBS.2004.1403766","DOIUrl":"https://doi.org/10.1109/IEMBS.2004.1403766","url":null,"abstract":"This session is intended to provide insight into the development of bioMEMS in the academic and industrial settings and address the current challenges facing R&D. Each speaker will address the field of bioMEMS and collaborations between academia and industry from his point-of-view and provide examples of developmental successes and failures in his setting. The speakers will also submit potential solutions to the organizational problems they presently face and foresee in the future. As a panel, the speakers will exchange ideas with the attendees with the hope of collectively introducing solutions to the problems submitted during the talks and general guidelines for successful R&D of BioMEMS through productive collaboration among engineers and scientists of different disciplines and between academia and industry.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117058124","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}
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