Conferences related to Brainstem

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

One of the flagship conferences for the IEEE Robotics and Automation Society (RAS)


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


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Periodicals related to Brainstem

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Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Information Technology in Biomedicine, IEEE Transactions on

Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.


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Most published Xplore authors for Brainstem

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Xplore Articles related to Brainstem

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Chaotic Dynamics in Tracing BAEP and its Application on Investigating Brainstem Malfunction

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2006

The purpose of this study is to investigate the chaotic dynamics of tracing (dynamic) brainstem auditory evoked potential (BAEP), then to investigate the brainstem malfunction via dynamic characteristics of tracing BAEP. The radial basis function neural network (RBFNN) technique in combination with the moving window average (MWA) method was employed in order to extract the tracing BAEP from strong noise ...


Finite element analysis of current and potential distributions for a human auditory brainstem implant

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995

A two-dimensional finite element model of the human head and brain stem has been developed to examine the current spread and electric fields generated during stimulation by an auditory brainstem implant. This model allows the authors to simulate different electrode positions and mono-polar or bi-polar stimulation modes. In each of the mono- or bi-polar modes, the cochlear nucleus complex (CNC) ...


Diffuse brainstem hypertensive encephalopathy in a patient with renal failure: A case report

Proceedings 2011 International Conference on Human Health and Biomedical Engineering, 2011

Predominant diffuse brainstem hypertensive encephalopathy is rare, especially in a patient with renal failure. Despite the severity of the neuroradiological findings, the clinical manifestations are mild. The radiological abnormalities resolved after blood pressure controlled. We report a patient with transient diffuse brainstem lesions on MRI. He had hypertension and renal failure. His neurological symptoms were disproportionately mild compared with the ...


Cochlear and Brainstem Auditory Prostheses “Neural Interface for Hearing Restoration: Cochlear and Brain Stem Implants”

Proceedings of the IEEE, 2008

This paper discusses the development and implementation of three novel implantable technologies that have advanced the communication abilities of hearing-impaired individuals who cannot benefit from conventional hearing aids. This paper will discuss clinical indications and outcomes and include current technological limitations and future research efforts.


Fast extraction method of auditory brainstem response based on wavelet transformation

2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007

In this paper, the principle, process and experimental analysis for the single extraction of auditory brainstem potential by wavelet transformation are discussed. The results indicate that, by a wavelet filter obtained from correlation analysis between results of wavelet transformation and traditional superposing and averaging method, the auditory brainstem response signal can be extracted from the signal containing spontaneous brain wave ...


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Educational Resources on Brainstem

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IEEE-USA E-Books

  • Chaotic Dynamics in Tracing BAEP and its Application on Investigating Brainstem Malfunction

    The purpose of this study is to investigate the chaotic dynamics of tracing (dynamic) brainstem auditory evoked potential (BAEP), then to investigate the brainstem malfunction via dynamic characteristics of tracing BAEP. The radial basis function neural network (RBFNN) technique in combination with the moving window average (MWA) method was employed in order to extract the tracing BAEP from strong noise background. Data of noisy BAEP were collected from the infantile spasm (IS) group with brainstem malfunction and the tester group respectively. The chaotic dynamics of tracing BAEP were analyzed using phase projection and correlation dimension techniques. The results of this study have demonstrated: (1) there is a much stronger determination in BAEP than in noisy BAEP shown by more deterministic phase projections and lower D<sub>2</sub> in BAEP; (2) trajectories of BAEP never repeat and the value of correlation dimension is fractal; (3) the phase projection of BAEP for brainstem malfunction group shows more chaotic and has higher D <sub>2</sub> than those for the tester group. The conclusions of this investigation suggest that BAEP is chaotic not deterministic and there is rich dynamics in BAEP; tracing BAEP is much more useful than noisy BAEP in describing brainstem malfunction because BAEP shows determination corresponding to brainstem function; BAEP in brainstem malfunction has more non-order dynamics than that in the tester

  • Finite element analysis of current and potential distributions for a human auditory brainstem implant

    A two-dimensional finite element model of the human head and brain stem has been developed to examine the current spread and electric fields generated during stimulation by an auditory brainstem implant. This model allows the authors to simulate different electrode positions and mono-polar or bi-polar stimulation modes. In each of the mono- or bi-polar modes, the cochlear nucleus complex (CNC) is the targeted area for stimulation. A current source of 2 mA was used in all stimulation modes, with a neighboring electrode as the ground in bipolar cases and a ground electrode on the surface of the skull on the implant side for mono-polar modes. The potentials along a tonotopic line were plotted to estimate the potential difference across the auditory brainstem structures. By analyzing iso-potential contours and current density distributions in the CNC and surrounding area, the authors found that the bi- polar mode with both stimulating plates adjacent to the CNC produced the highest potential difference inside the auditory structure. Bipolar stimulation generates greater potential differences in the vicinity of the electrodes where the CNC is located, while mono-polar modes generate fields that spread over a wider area.

  • Diffuse brainstem hypertensive encephalopathy in a patient with renal failure: A case report

    Predominant diffuse brainstem hypertensive encephalopathy is rare, especially in a patient with renal failure. Despite the severity of the neuroradiological findings, the clinical manifestations are mild. The radiological abnormalities resolved after blood pressure controlled. We report a patient with transient diffuse brainstem lesions on MRI. He had hypertension and renal failure. His neurological symptoms were disproportionately mild compared with the MRI features, which were of diffuse hyperintensities in the brainstem on T2-weighted and fluid-attenuated inversion recovery (FLAIR) images. There were no accompanying changes in the parieto-occipital lobe. We consider that extremely high blood pressure may provoke diffuse brainstem lesions. Renal failure may aggravate this damage.

  • Cochlear and Brainstem Auditory Prostheses “Neural Interface for Hearing Restoration: Cochlear and Brain Stem Implants”

    This paper discusses the development and implementation of three novel implantable technologies that have advanced the communication abilities of hearing-impaired individuals who cannot benefit from conventional hearing aids. This paper will discuss clinical indications and outcomes and include current technological limitations and future research efforts.

  • Fast extraction method of auditory brainstem response based on wavelet transformation

    In this paper, the principle, process and experimental analysis for the single extraction of auditory brainstem potential by wavelet transformation are discussed. The results indicate that, by a wavelet filter obtained from correlation analysis between results of wavelet transformation and traditional superposing and averaging method, the auditory brainstem response signal can be extracted from the signal containing spontaneous brain wave interference based on only a single measurement of the signal. As comparison to traditional superposing and averaging method, the wavelet transformation analysis method presented in this paper can provide much more distinct waveforms and shorten the time of whole detection by considerably reducing the number of tests.

  • Automatically labeling of Brainstem Auditory Evoked Potential based on vector algorithm

    Brainstem Auditory Evoked Potential (BAEP) is one of the widely-used evoked potentials in clinical application. For many applications such as auditory threshold estimation and surgical monitoring, automatic analysis of BAEP waveform is required to provide BAEP determination threshold for clinical analysis. This paper describes one new vector algorithm which is used to perform automatic labeling of BAEP thresholds on collected BAEP data, and experiment results have shown that label accuracy is more than 90% under a stimulus intensity of 75dBnHL.

  • Coupling Wavelet Transform with Bayesian Network to Classify Auditory Brainstem Responses

    In this work, a method that combines wavelet transform and Bayesian network is developed for the classification of the auditory brainstem response (ABR). First the wavelet transform is applied to extract the important features of the ABR by thresholding and matching the wavelet coefficients. A Bayesian network is then built up based on several variables obtained from these significant wavelet coefficients. In order to evaluate the performance of this approach, stratified 10-fold cross-validation is used and the network is evaluated on subject-dependent test sets (drawn from the same subjects from which the training set was derived). In particular, the data analyzed here are the ABR data with only fewer repetitions (64 or 128 repetitions) and this offers the great advantage of reducing the total time of recording, which is very beneficial to both the clinicians and the patients. Finally, a preprocessing method based on Woody averaging is applied to adjust the latency shift of the ABR data and it enhances the results

  • The detection of the relation of the stimulus intensity-latency of auditory brainstem response using optimal wavelet analysis

    In clinical applications, the rapid detection of the auditory brainstem response (ABR) peak characteristics is required. The input stimulus intensity influences the peak latency of the ABR waveform. In the sound stimulus intensity-latency curve (called I-L curve), the fifth peak (which is called wave V) of ABR waveform is used to diagnose conductive hearing loss or sensorineural hearing loss. In our previous study, we proved that the optimal decomposition level of the fast ABR is the level of D5 (frequency band is from 781 Hz to 1562 Hz), and explained that we used the reconstructed waveform of the ABR by inverse DWT (IDWT). Further more we proposed automated detection of the peak latency of wave V near-threshold according to input stimulus intensities using the template of normal I-L range. In this paper, we examine the following two points. Firstly, we apply the MRA to recorded ABR waveforms that are different number of averagings and we observe the reconstructed waveform at each resolution level. Secondly, we apply the MRA to recorded ABR waveforms that are obtained at the different sound stimulus intensity and we observe the reconstructed waveform at each resolution level.

  • A web-based solution to collect, manage and analyse Auditory Brainstem Response data

    Auditory neuroscience often involves the collection of experiment data from test subjects in the form of non-invasive Auditory Brainstem Responses (ABR). These ABRs are most often used to gauge a subjects hearing threshold. Although rarely; they can be analysed further. Research into ABRs has shown that the presence of brain damage or tumours may be detectable. This can be achieved if large amounts of ABRs are collected and compared. However many laboratories around the world do not keep the data as it is difficult to store and analyse, and sometimes only used for threshold analysis. This results in a huge amount of wasted data and opportunity. The goal of this project was to develop and build a web-based system to collect, manage and analyse ABR data for hearing research. The project was run as an iterative process based on the eXtreme- Programming (XP) methodology. It involved very close contact with the client laboratory. Onsite weekly meetings, demonstrations and experiments were attended to help understand the problem domain. A continuous analysis, design and integration cycle coupled with automated testing and deployment was used throughout the project. Where possible all key aspects of XP development were adhered to and the project managed in this fashion. The final OpenABR system was deployed to a cloud server and is being used by the client laboratory. It has several unique features that no other system of its type possesses. Its dynamic database interface allows scientists the flexibility and reliability they cannot get from standard databases. Future work would focus on expanding the dynamic database interface, integrating more analysis including heuristics and trying to include new data types such as imaging results.

  • Optimum wavelet filter estimating peak latencies of auditory brainstem response waveform

    The peak latencies of auditory brainstem response (ABR) are useful to support of human auditory brain functional diagnosis. For example is useful to estimate audiogram in the human hearing test. In the previous study we proposed a method of analysis of the peak latencies of the ABR using stationary wavelet transform (SWT). Furthermore, in this paper we observe the ABR peak latencies near around human auditory threshold in which depicts in the audiogram by using SWT. At the same time we discuss about the optimum wavelet function to analyze the waveform of the human audiometry threshold depicted in the audiogram by using SWT.



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