Advanced Methods of Biomedical Signal Processing II

Dear Colleagues,

Biomedical sensing technology is most commonly perceived as a wearable device, such as smart glasses, smart watches, and smart clothing, which have become more and more popular in recent years. People have become more inclined to monitor themselves more closely than ever, and technology is enabling them to do so. The trend of wearable technology is predicted to continue as technology improves. The challenges of new sensing technologies include quality control, data corruption detection and correction, as well as automatic interpretation of massive amounts of data. For this reason, in recent years, many researchers have been working to advance the methods for processing biomedical signals, utilizing methods that include time-varying spectral analysis, entropy, adaptive filtering, multivariate probability distributions, machine learning, deep learning, nonlinear regression, Markov chains, Bayesian estimation, etc. In this Special Issue, we invite research papers presenting novel and advanced methods of biomedical signal processing, applied to, but not limited to, EDA, ECG, EMG, EEG, PPG, and other biomedical signals or images, as well as their application in the detection and correction of data corruption, and the interpretation, diagnosis, or prediction of physiological conditions or diseases.

Dr. Hugo Fernando Posada-Quintero
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. Signals is an international peer-reviewed open access quarterly 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 1000 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.

• biomedical signals
• images
• signal processing
• signal analysis