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Special Issue "Compressed Sensing for ECG Data Acquisition and Processing"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editors

Prof. Dr. Luca De Vito
Website
Guest Editor
Department of Engineering, Università degli Studi del Sannio, Benevento, Italy
Interests: instrumentation and measurement; data converters; data acquisition systems; Internet of Things (IoT); biomedical instrumentation
Dr. Francesco Picariello
Website
Guest Editor
Department of Engineering, Università degli Studi del Sannio, Benevento, Italy
Interests: electrical and electronic instrumentation; data acquisition systems (DAQ) based on compressive sampling (CS); biomedical instrumentation; distributed measurement systems, including wireless sensor networks (WSNs); Internet of Things (IoT)
Special Issues and Collections in MDPI journals
Dr. Ioan Tudosa
Website
Guest Editor
Department of Engineering, Università degli Studi del Sannio, Benevento, Italy
Interests: data acquisition systems (DAQ); hardware design for front-end; DAQ; applied compressed sensing (CS) for DAQs; design of embedded systems; distributed measurement systems, including wireless sensor networks and digital signal processing systems; time and frequency measurements
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Compressed sensing (CS) has recently been applied to ECG monitoring systems with the aim of either compressing the acquired data rate, reducing the noise, or even processing the ECG signal to discover anomalies.

This Special Issue seeks innovative contributions on the application of recent CS results to the acquisition and processing of ECG signals, related but not restricted to the following topics:

  • Signal acquisition schemes based on CS;
  • Signal dictionaries and methods for dictionary optimization, learning, and adaptation;
  • Reconstruction algorithms;
  • Characterization and assessment of CS ECG monitoring systems;
  • Hardware implementations of ECG monitoring systems based on CS;
  • Analog-to-information converters for ECG monitoring;
  • Processing of ECG samples acquired by CS;
  • CS-based ECG signal denoising;
  • Anomaly detection from compressed samples;
  • CS-based heartrate and heartrate variation measurements;
  • CS-based Internet of Things and Internet of Medical Things systems;
  • Machine learning for CS;
  • Energy-efficient CS systems;
  • CS-based ECG segmentation and feature extraction.

Prof. Dr. Luca De Vito
Dr. Francesco Picariello
Dr. Ioan Tudosa
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 papers will be 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 2000 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.

Published Papers

This special issue is now open for submission.
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