Computational Challenges of High-Density Biosensor Data Analysis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 10 May 2024 | Viewed by 1702
Special Issue Editors
Interests: high-density EEG signal processing; brain connectivity analysis; parallel and GPU computing; algorithms and performance optimization
Special Issue Information
Dear Colleagues,
The proliferation of high-density biosensor (EEG, MEG, EMG, ECoG, fNIRS) measurement systems present growing problems in data analysis due to the increases in measurement dataset size, subject/patient population, sampling frequency, etc. Routine analysis is typically performed by scripting environments and algorithms 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 and what changes are required to fully benefit from these advanced computing environments. This Issue welcomes original research articles and review papers that demonstrate the efficient use of these new technologies in the form of new data processing techniques and analysis algorithms, highly parallel implementations, 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, the performance analysis of advanced signal processing methods, and reports on clinical application experiments are especially welcome.
Dr. Zoltan Juhasz
Dr. Istvan Vassanyi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- EE
- MEG
- EMG
- fNIRS
- high-density biosensors
- data processing
- multi-core architecture
- GPU
- accelerator
- cloud computing
- big data analysis
- HPC