Feature Papers in Bioelectronics - Edition of 2022-2023

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".

Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 6515

Special Issue Editors


E-Mail Website
Guest Editor
Department of Information Engineering, School of Engineering, University of Pisa, 56126 Pisa, PI, Italy
Interests: wearable monitoring systems; affective computing; heart rate variability; human-computer interfaces; biomedical and biomechanical signal processing; modeling; control and instrumentation; autonomic nervous system
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information Engineering, Università degli Studi di Firenze, Firenze, Italy
Interests: wearable system for non-invasive physiological monitoring; statistical and nonlinear biomedical signal processing; affective computing; mood/mental/neurological disorders; human–animal–robot interaction; autonomic nervous system investigation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce this new Special Issue on “Feature Papers in Bioelectronics—Edition of 2022–2023”.  This Special Issue is devoted to publishing high-quality articles that describe the most significant and cutting-edge research in all areas of bioelectronics sciences. We have no limitations on the paper types. Topics of interest include, but are not limited to, the following:

  • Biosignal acquisition/conditioning/detection;
  • Miniaturized electronics;
  • Wearable and implantable sensors;
  • Neuromodulation and stimulation;
  • Transcutaneous and intrabody wireless communication;
  • Wireless power transfer and management;
  • Energy harvesting;
  • Bioinspired electronics;
  • Implantable electronics;
  • Wireless CMOS biosensors and sensor technology;
  • Multimodal healthcare sensors;
  • Mobile and lab-on-a-chip healthcare microsystems;
  • Unobtrusive biosensing;
  • Rehabilitation robotics;
  • Artificial intelligence for health management;
  • Bioinformatics for healthcare engineering;
  • Medical data mining and big data analytics;
  • Ethical aspects of bioelectronics.

Prof. Dr. Enzo Pasquale Scilingo
Dr. Nicola Vanello
Prof. Dr. Antonio Lanata
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. Electronics 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 2400 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.

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

16 pages, 9096 KiB  
Communication
The Design and Construction of a 12-Channel Electrocardiogram Device Developed on an ADS1293 Chip Platform
by Thanh-Nghia Nguyen, Thanh-Tai Duong, Hiba Omer, Abdelmoneim Sulieman and David A. Bradley
Electronics 2023, 12(11), 2389; https://doi.org/10.3390/electronics12112389 - 25 May 2023
Cited by 2 | Viewed by 5551
Abstract
An accurate and compact electrocardiogram (ECG) device will greatly assist doctors in diagnosing heart diseases. It will also help to address the increasing number of deaths caused by heart disease. Accordingly, the goal of the project is to design and construct an easy-to-use [...] Read more.
An accurate and compact electrocardiogram (ECG) device will greatly assist doctors in diagnosing heart diseases. It will also help to address the increasing number of deaths caused by heart disease. Accordingly, the goal of the project is to design and construct an easy-to-use compact 12-lead electrocardiogram device that communicates with a computer to create a system that can continuously monitor heart rate and which can be connected to allied medical systems. The design is based on an ECG receiver circuit utilizing an IC ADS1293 and an Arduino Nano. The ADS1293 has built-in input Electromagnetic Interference (EMI) filters, quantizers, and digital filters, which help in reducing the size of the device. The software has been created using the C# programming language, with Windows Presentation Foundation (WPF), aiding the collection of the ECG signals from the receiving circuit via the computer port. An ECG Multiparameter Simulator has been used to calibrate the ECG device. Finally, a plan has been developed to connect the arrangement to health systems according to HL7 FHIR (Health Level Seven Fast Healthcare Interoperability Resources) through Representational State Transfer Application Programming Interface (Rest API). The ECG device, completed at the cost of U$169 excluding labor, allows for the signal of 12 leads of ECG signal to be obtained from 10 electrodes mounted on the body. The processed ECG data was written to a JSON file with a maximum recording time of up to three days, managed by a Structured Query Language Server (SQL) Server database. The software retrieves patient data from electrical medical records in accordance with HL7 FHIR standards. A compact and easy-to-use ECG device was successfully designed to record ECG signals. An in-house developed software was also completed to display and store the ECG signals. Full article
(This article belongs to the Special Issue Feature Papers in Bioelectronics - Edition of 2022-2023)
Show Figures

Figure 1

Back to TopTop