Conferences related to Biomedical Signal Processing

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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 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


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 Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


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Periodicals related to Biomedical Signal Processing

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


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.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for Biomedical Signal Processing

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No authors for "Biomedical Signal Processing"


Xplore Articles related to Biomedical Signal Processing

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Inquiry-based biomedical signal processing laboratory: from practice to simulation

Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 2003

The proposed biomedical signal processing laboratory incorporates several components that enhance its usefulness for inquiry-based learning. The laboratory orients around the physical construction and testing of a variety of simple signal processing circuit modules, introduced as lessons. The characteristics of each module can be easily determined through measurement with a BIOPAC MP35 data acquisition system. Additionally, the system laboratory software ...


OTA-C Filters for Biomedical Signal Processing Applications using Hybrid CMOS-CNFET Technology

2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC), 2018

Analog filters for biomedical signal processing applications deals with very slow or low frequency electrical activities of the physiological signals. This paper proposes first order, second order, fifth order elliptic low pass, second order notch and high pass OTA-C filters using hybrid CMOS-CNFET technology. Carbon Nanotube Field Effect Transistors (CNFETs) and CMOS devises can be heterogeneously integrated on a single ...


Discussions on "Biomedical Signal Processing": Content, teaching and training

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

In this paper, discussed are points cumulated in our practices in taking the course of "Biomedical Signal Processing". The contents include the arrangement of the contents, selection of multi-teaching methods, reformation of examination methods, the way of communication with students and the design of experiments


Biomedical signal processing: present and future

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 1999

Summary form only given, as follows. Biomedical signal processing is a rapidly expanding field with a wide range of applications. These range from the construction of artificial limbs and aids for the disabled to the development of sophisticated medical imaging systems that can operate in a non-invasive manner to give real time views of the workings of the human body. ...


BoomNT. A visual tool for biomedical signal processing

Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136), 1997

BoomNT (Block- and Object-oriented Medical data processing under Windows NT), a system for data acquisition, visualization and processing of biomedical signals, is presented. It has the capability to model, simulate and perform various strategies of signal processing using a graphical user interface. Besides in-system programmable analogue and digital hardware for data acquisition and preprocessing, the developed system provides standard algorithms ...


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Educational Resources on Biomedical Signal Processing

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IEEE-USA E-Books

  • Inquiry-based biomedical signal processing laboratory: from practice to simulation

    The proposed biomedical signal processing laboratory incorporates several components that enhance its usefulness for inquiry-based learning. The laboratory orients around the physical construction and testing of a variety of simple signal processing circuit modules, introduced as lessons. The characteristics of each module can be easily determined through measurement with a BIOPAC MP35 data acquisition system. Additionally, the system laboratory software permits simple comparisons between real-world and simulated signal processing module characteristics. The modules can be combined in a step-by-step fashion to create a variety of sophisticated and functional signal processing systems. Signal processing systems established by the laboratory provide meaningful outputs from signals sourced from the student's own body. Through the application of a single, easy-to-use data acquisition system and associated laboratory software, students can build and test signal processing modules, verify their performance against mathematical simulation using graphical comparisons, combine modules, collect physiological signals sourced from their own bodies and then analyze the results. In the process of collecting data directly from their own bodies, students' curiosity is stimulated and they gain more control over their own learning by being able to test and retest to more fully understand the steps involved in scientific inquiry.

  • OTA-C Filters for Biomedical Signal Processing Applications using Hybrid CMOS-CNFET Technology

    Analog filters for biomedical signal processing applications deals with very slow or low frequency electrical activities of the physiological signals. This paper proposes first order, second order, fifth order elliptic low pass, second order notch and high pass OTA-C filters using hybrid CMOS-CNFET technology. Carbon Nanotube Field Effect Transistors (CNFETs) and CMOS devises can be heterogeneously integrated on a single 3-D chip to realize important signal processing building blocks such as OTA-C filters. Proposed circuits uses hybrid CMOS-CNFET Operational Transconductance Amplifier (OTA) as a building block for OTA-C filters. Realized filter circuits satisfy ultra-low power consumption requirement of wearable and implantable biomedical devices. The transistors used in the circuit operate in weak inversion to achieve ultra-low power consumption.

  • Discussions on "Biomedical Signal Processing": Content, teaching and training

    In this paper, discussed are points cumulated in our practices in taking the course of "Biomedical Signal Processing". The contents include the arrangement of the contents, selection of multi-teaching methods, reformation of examination methods, the way of communication with students and the design of experiments

  • Biomedical signal processing: present and future

    Summary form only given, as follows. Biomedical signal processing is a rapidly expanding field with a wide range of applications. These range from the construction of artificial limbs and aids for the disabled to the development of sophisticated medical imaging systems that can operate in a non-invasive manner to give real time views of the workings of the human body. There are a number of imaging systems in common use. These include ultrasound scanners, magnetic resonance imaging scanners and positron emission tomography. X-ray systems have also improved and are widely used for many purposes such as mammograms. This plenary session covers biomedical signal processing as used in both therapeutic and diagnostic instrumentation. A number of current research projects are also outlined with emphasis on intelligent medical image diagnosis.

  • BoomNT. A visual tool for biomedical signal processing

    BoomNT (Block- and Object-oriented Medical data processing under Windows NT), a system for data acquisition, visualization and processing of biomedical signals, is presented. It has the capability to model, simulate and perform various strategies of signal processing using a graphical user interface. Besides in-system programmable analogue and digital hardware for data acquisition and preprocessing, the developed system provides standard algorithms for signal processing in the form of module libraries. These features are all represented by icons which can be linked together in order to design the desired functionality. The use of the external components is not essential, because the system can perform a simulation based on recorded and/or generated data.

  • In the Spotlight: Biomedical Signal Processing

    Biomedical Signal Processing (BSP) is a well established discipline and constitutes the corner stone for the training of Biomedical Engineers both at undergraduate and at graduate levels. No basic curriculum on Biomedical Engineering could even exist without one or more BSP courses. All the advanced methods of signal processing (from traditional linear digital filtering up to non linear higher-order approaches) have been applied to BSP. The EEG signal, which is basically pseudo-stochastic, is a good example: the information contained in the original tracings, which are generally used for physiological or clinical interpretation, is hardly directly interpretable unless a more or less complicate pre-processing is done. This reasoning is obviously applicable, in different contexts, to other biomedical signals.

  • On the feasibility of SI for low-power VLSI biomedical signal processing

    Low-power analogue-sampled-data (ASD) signal processing has traditionally relied on the well-known switched capacitor (SC) technique for the implementation of medical implants, hearing instruments and/or interfaces for battery operated instrumentation. In this paper recent advances in the rapidly maturing switched-current (SI) technique are reviewed with respect to their feasibility for application in novel circuit structures that set the foundations of low-power SI for biomedical signal processing (BSP) and other applications. A qualitative comparison is made between class A and AB SI cells and the mode of MOS transistor operation. The authors briefly discuss building blocks for novel continuously tuneable filtering structures that rely on transconductance-ratios rather than capacitor ratios. Biologically inspired implementations of the cochlea illustrate possible applications.<<ETX>>

  • In the Spotlight: Biomedical Signal Processing

    This article presents a review on biomedical signal processing. Discussions on traditional approaches, nonstationary and nonlinear systems, signal fusion, physiological modeling, and the MMM (multivariate, multiorgan and multiscale) paradigm are included.

  • Adapted filter banks in machine learning: applications in biomedical signal processing

    The theory of signal-adapted filter banks has been developed in signal compression in recent years and only rarely be applied to other applications fields such as machine learning. In this paper, we propose lattice structure based signal-adapted filter banks and time-scale atoms, respectively, for the construction of morphological local discriminant bases and hybrid wavelet- support vector classifiers. The first mentioned method is a more powerful construction of the recently introduced local discriminant bases algorithm which employs, in addition to the conventional wavelet-packet tree adjustment, an adaptation of the analyzing time-scale atoms. The latter mentioned method utilizes adapted wavelet decompositions which are tailored for support vector classifiers with radial basis functions as kernels. For both methods, we present applications in biomedical signal processing.

  • In the Spotlight: Biomedical Signal Processing

    The author has taken the inspiration for drafting this short report from the Annual IEEE-EMBS Conference which was held in San Diego, CA, USA, last August. This conference is the most important event for being informed about the state of the art in Biomedical Engineering and for meeting the most distinguished experts in this area of research and the relevant applications. Again this year, the Theme of Biomedical Signal Processing scored among the most popular ones with more than 400 contributions. The great importance of this Theme has been confirmed by the excellent keynote speakers: many of them made reference to the importance of proper signal and data processing. It is argued that the basic challenge to realize a really successful tool for primary preventive medicine is to transfer (hopefully in an 'easy' fashion) to micro/nano scales the processing algorithms and devices, which were implemented and successfully tested in the last decades for diagnostic and therapeutic purposes. This statement serves as the author's opportunity to inform readers on the European Union vision for ICT Research Programs in the next years.




Jobs related to Biomedical Signal Processing

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