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SPMB 2016 : IEEE Signal Processing in Medicine and Biology Symposium | |||||||||||||||
Link: https://www.ieeespmb.org/2016/ | |||||||||||||||
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Call For Papers | |||||||||||||||
IEEE SPMB16 is a regional symposium intended to provide a highly interactive forum where bioengineering and signal processing researchers can collaborate on emerging trends in signal processing. We expect approximately 125 researchers to attend. We specifically encourage graduate students to attend and present their thesis or dissertation research. Awards for best student paper and presentation will be given. This is an excellent opportunity to network with leading professionals in your field and to form new collaborations.
Signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. The enormous amounts of data that can be acquired from devices are enabling a new generation of technology based on big data. This symposium is intended to bring together a wide range of professionals interested in applications of signal processing medicine and biology. The symposium is sponsored by IEEE-USA, IEEE Region 2, IEEE Region 2 Philadelphia Section, Temple University, the Neural Engineering Data Consortium and NYU Polytechnic School of Engineering. The symposium will consist of two plenary talks, two oral sessions and two poster sessions. Exhibits and demonstrations are encouraged as well. Interested parties should contact the conference organizers at help@ieeespmb.org for further details. Symposium Topics: Traditional signal processing topics include: Signal analysis (e.g., EEG, ECG, EMG) Medical imaging (e.g., MRI, fMRI) Machine learning, data mining and classification Big data resources and applications Signal processing methods in bioinformatics Linear, nonlinear, and adaptive filtering and prediction Time-frequency and non-stationary signal analysis Applications of particular interest this year include: Wearable healthcare devices Data mining and analytics in healthcare Security and reliability in wireless medical technologies Biomedical nanosensors and wireless technologies Biomedical instrumentation and electrical stimulation Emerging medical devices, technologies and applications If you have questions about the relevance of a planned submission, feel free to contact the technical committee at help@ieeespmb.org for guidance. |
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