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 6346

Special Issue Editors


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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

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Published Papers (1 paper)

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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 5380
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)
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