[FieldTrip] Special Issue: Special Issue in Computational Challenges of High-Density Biosensor Data Analysis (Sensors, IF:3.847)

[Zoltan Juhasz]

Special Issue: Special Issue in Computational Challenges of High-Density
Biosensor Data Analysis



URL: https://urldefense.com/v3/__https://www.mdpi.com/journal/sensors/special_issues/877773G6P8__;!!HJOPV4FYYWzcc1jazlU!9FgzDtgle6n5DzBFQjFccYg39Ck6A8pP9eePIyJ3ZD6VTaSDjhyKesYeka83pYEaRSwXjljxVI1wzUDCY0qtwYee$ 



Journal: Sensors (IF:3.847)





Dear Colleagues,



This Special Issue aims to solicit research papers addressing the
computational challenges of modern, high-density biosensor data processing.



The proliferation of high-density biosensor (EEG, MEG, EMG, ECoG, fNIRS)
measurement systems present growing problems in data analysis due to the
increases in dataset size. Routine analysis is typically performed by
scripting environments and algorithms originally designed for single-core
computing systems that cannot fully utilize the capabilities of modern
computing systems. The aim of this Special Issue is to explore how the
fundamental changes in computer architecture (multi-core revolution, GPU
and FPGA accelerators, cloud computing, supercomputers) affect multi-sensor
biosignal data processing.



This Issue welcomes original research articles and review papers that

- demonstrate the efficient use of these new data processing techniques,

- analysis algorithms, and

- novel data analysis system architecture designs that demonstrate
efficient use of multi-core, GPU, cloud, and other HPC systems.

- Case studies of very large dataset analysis studies,

- implementations using accelerators and/or HPC systems,

- performance analysis of advanced signal processing methods, and

- reports on clinical application experiments are especially welcome.





Dr. Zoltan Juhasz

Dr. Istvan Vassanyi

Guest Editors
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