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Electronics
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New Insights in Medical Electronics and Digital Healthcare Technologies
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New Insights in Medical Electronics and Digital Healthcare Technologies

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

Deadline for manuscript submissions: 15 May 2024 | Viewed by 1865

Special Issue Editors

Prof. Dr. Hyun Jae Baek

E-Mail Website
Guest Editor
Department of Biomedical Engineering, Soonchunhyang University, Asan-si 31538, Republic of Korea
Interests: medical electronics; health IoT; sleep engineering; brain–computer interface; digital therapeutics
Special Issues, Collections and Topics in MDPI journals
Dr. Kwang Bok Kim

E-Mail Website
Guest Editor
Digital Health Care R&D Department, Korea Institute of Industrial Technology, Cheonan, Republic of Korea
Interests: electrochemical sensor; glucose sensor; iontronics; preconcentration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today's healthcare environment is changing very rapidly, and the role of medical electronics in the healthcare domain is growing day by day. In particular, as the interest in the fourth industrial revolution in the medical field increases, the scale of the digital healthcare industry based on advanced medical electronic technology is gradually growing. In addition, the market size is expected to grow further due to the increase in income level and the entry into an aging society.

This Special Issue is focused on state-of-the-art medical electronics. It will include novel research results about technologies such as biomedical sensors, algorithms, healthcare IoT devices including portable/wearable/attachable devices, digital therapeutics, and electroceuticals. Attention will also be paid to their various industry applications.

Topics of interest include, but are not limited to, the following:

  • Biomedical sensors and actuators;
  • New concept biomedical devices such as wearable/nearable/attachable devices;
  • Biomedical signal processing;
  • Health and wellness sensing algorithms;
  • Artificial intelligence in biomedical engineering;
  • Software-based medical devices;
  • Digital therapeutics and electroceuticals;
  • Clinical applications of biomedical electronics.

Prof. Dr. Hyun Jae Baek
Dr. Kwang Bok Kim
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.

Keywords

  • medical electronics
  • digital healthcare
  • digital therapeutics
  • health sensor
  • biosignal

Published Papers (2 papers)

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Research

13 pages, 6930 KiB  
Article
Development of Non-Invasive Ventilator for Homecare and Patient Monitoring System
by Michele Menniti, Filippo Laganà, Giuseppe Oliva, Maria Bianco, Antonino S. Fiorillo and Salvatore A. Pullano
Electronics 2024, 13(4), 790; https://doi.org/10.3390/electronics13040790 - 17 Feb 2024
Viewed by 917
Abstract
Recently, the incidence of, and interest in, respiratory diseases has been amplified by severe acute respiratory syndrome coronavirus (SARS-CoV-2) and other respiratory diseases with a high prevalence. Most of these diseases require mechanical ventilation for homecare and clinical therapy. Herein, we propose a [...] Read more.
Recently, the incidence of, and interest in, respiratory diseases has been amplified by severe acute respiratory syndrome coronavirus (SARS-CoV-2) and other respiratory diseases with a high prevalence. Most of these diseases require mechanical ventilation for homecare and clinical therapy. Herein, we propose a portable and non-invasive mechanical fan (NIV) for home and clinical applications. The NIV’s core is a turbine for airflow generation, which can provide and monitor a positive two-level pressure of up to approximately 500 lpm at 50 cmH2O according to the inspiration/expiration phase. After calibration, the proposed NIV can precisely set the airflow with a pressure between 4 cmH2O and 20 cmH2O, providing a versatile device that can be used for continuous positive airway pressure (CPAP) or bilevel positive airway pressure (BiPAP). The airflow is generated by a turbine monitored using a mass flow sensor. The whole NIV is monitored with a 16 MHz clock microcontroller. An analog-to-digital converter is used as the input for analog signals, while a digital-to-analog converter is used to drive the turbine. I2C protocol signals are used to manage the display. Moreover, a Wi-Fi system is interfaced for the transmission/reception of clinical and technical information via a smartphone, achieving a remote-controlled NIV. Full article
(This article belongs to the Special Issue New Insights in Medical Electronics and Digital Healthcare Technologies)
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10 pages, 2922 KiB  
Article
A Comparison of Dynamic Gait Stability between the Young and Elderly Female Populations Using the Zero-Moment Point Method
by Sang Kuy Han, Jeong-Bae Ko, Yeonwoo Yu, Jae-Soo Hong, Jei-Cheong Ryu, Ki Kwang Lee and Sung-Jae Kang
Electronics 2024, 13(1), 135; https://doi.org/10.3390/electronics13010135 - 28 Dec 2023
Viewed by 593
Abstract
A compromised stability in the elderly population is considered a major factor for fall risk assessment. The dynamic stability of human gait with various mathematical metrics has been extensively studied to find a prediction index and fall prevention strategies that can be embedded [...] Read more.
A compromised stability in the elderly population is considered a major factor for fall risk assessment. The dynamic stability of human gait with various mathematical metrics has been extensively studied to find a prediction index and fall prevention strategies that can be embedded in a wearable monitoring sensor. In this study, the zero-moment point method (ZMP) was utilized for analyzing the gait stability of young and elderly female populations. Participants in the young and elderly female groups with no musculoskeletal disorders and fall experience were asked to walk at a habitual speed on 10 m flat ground. Dynamic instability is defined by the percentage of the ZMP values that fall outside the base of support during one gait cycle. The ZMP trajectory between the left and right leg swing was not symmetrical considering flat-ground walking. Also, there was no statistical difference in the dynamic stability in the anterior–posterior direction (71.3 ± 7.9% for the young group and 73.6 ± 7.6% for the elderly group), but walking in the medial–lateral direction was more stable in the elderly group (53.9 ± 8.6%) than in the young group (44.1 ± 11.2%) because the habitual walking speed decreased in the elderly group. Full article
(This article belongs to the Special Issue New Insights in Medical Electronics and Digital Healthcare Technologies)
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