Biomedical Imaging, Sensing and Signal Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 109
Special Issue Editor
Interests: biomedical signal and image processing; data fusion; blind source separation and machine/deep learning; EEG; fMRI; ECG
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biomedical imaging is a dynamic field that has led to significant improvements in our understanding of body and brain functions, the development of medicine, the development of rehabilitation methods, and many other areas relevant to health and wellbeing. Biomedical imaging includes a diverse array of modalities such as X-rays, magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, electroencephalograms (EEGs), functional near-infrared spectroscopy (fNIRS), and positron emission tomography (PET). These imaging techniques provide detailed visualizations of internal anatomical structures, facilitating non-invasive diagnosis and precise medical interventions.
Sensing technologies enable us to capture real-time data related to physiological states, biomarkers, and environmental factors. This involves the usage of wearable devices, biosensors, and other cutting-edge technologies to monitor and analyze vital signs, allowing personalized and proactive healthcare.
It is undeniable that signal processing and machine learning methods play a pivotal role in removing noise and extracting meaningful information from biomedical data. Techniques such as signal filtering, feature extraction, and pattern recognition enhance the accuracy of diagnostics and enable the development of smart healthcare systems.
The objective of this Special Issue is to attract the most recent research and findings on the design, development, and experimentation of healthcare-related technologies and computational methodologies. This Special Issue welcomes contributions that engage but are not limited to any of the following topics:
- biomedical signal and image processing
- smart monitoring and assisted living systems
- deep learning for healthcare data
- sensor fusion of biomedical data
- brain–computer interface
- mental health
- computational neuroscience
- electroencephalograms (EEGs)
- magnetic resonance spectroscopy (MRI)
- functional magnetic resonance spectroscopy (fMRI)
- functional near-infrared spectroscopy (fNIRS)
- magnetoencephalograms (MEGs)
- electromyography (EMG)
- health signal processing/monitoring
- machine learning and artificial intelligent applications in health and wellbeing
- physiological signal processing
Dr. Saideh Ferdowsi
Guest Editor
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
- biomedical imaging
- neuroimage
- signal processing
- biosensors
- machine learning
- artificial intelligence
- deep learning
