ECG Signal Processing Techniques and Applications

Dear Colleagues,

We are very pleased to invite you to contribute to this Special Issue focused on Electrocardiographic (ECG) Signal Processing Techniques and Applications.

Electrocardiographic signals are recordings of the electrical activity of the heart and have been widely employed for detecting or monitoring abnormal heart function (e.g., arrhythmias or conduction disturbances) and for heart rate variability assessment. Thanks to continuous progress, more compact and portable ECG devices are nowadays becoming widely popular for applications ranging from early diagnosis of cardiovascular diseases at home to biometrics and user authenticantion in the business sector. However, these new applicative scenarios require the design of innovative ECG acquisition systems and processing tools.

This Special Issue aims to collect original articles, opinions and review papers in the field of ECG signal processing and characterization. Multidisciplinary papers are welcomed, ranging from novel sensors and devices for ECG acquisition, advanced signal processing techniques for features extraction, mathematical modelling of ECG signals, innovative deep learning and machine learning algorithms for ECG classification.

Potential topics include, but are not limited, to the following:

- novel ECG devices;

- advanced ECG signal processing and classification techniques;

- ECG biometrics for user authentication;

- ECG segmentation and pattern recognition techniques;

- advanced noise suppression algorithms;

- mathematical modelling of ECG signals;

- heart rate variability analyses;

- deep learning and machine learning algorithms;

- real-time monitoring or early diagnosis through multisensory portable or wearable devices;

- clinical applications.

Dr. Riccardo Pernice
Dr. Massimo W. Rivolta
Prof. Dr. Raquel Bailón
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.