Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
Novel Clinical Device for Biomedical Engineering
applsci-logo
Submit to Applied Sciences Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Novel Clinical Device for Biomedical Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".

Deadline for manuscript submissions: closed (30 January 2024) | Viewed by 6268

Special Issue Editors

Dr. Hyunkyoo Kang

E-Mail Website
Guest Editor
Department of Mechatronics Engineering, Glocal Campus, Konkuk University, Chungju-si 27478, Republic of Korea
Interests: biomedical engineering; medical sensors; printed electronics
Special Issues, Collections and Topics in MDPI journals
Dr. Hyun Jin Shin

E-Mail Website
Guest Editor
1. Department of Ophthalmology, Konkuk University Medical Center, Seoul 05030, Republic of Korea
2. Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 05030, Republic of Korea
3. Institute of Biomedical Science & Technology, Konkuk University, Seoul 05030, Republic of Korea
Interests: ophthalmology; artificial intelligence; 3D printing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Most industries have made a quantum leap by applying advanced technologies related to Industry 4.0. This includes the field of medical research. In particular, various biometric data, e.g., images from MRI, CT, X-ray, signals from electromyograms (EGM), electrocardiograms (ECG), sphygmomanometers, etc. are facilitated by advanced analytical techniques. The precise and objective measurement of biometric data has become an essential requirement. However, measuring devices developed so far are complex, invasive and complicated to use in a clinical setting. Therefore, there is a need to develop compact and easy-to-use devices that offer similar user experiences to those presently in clinical use.

This Special Issue focuses on the latest developments in novel clinical devices for biomedical engineering. We invite researchers and clinicians involved in medical science to submit current studies on instrumentation, data analysis, and diagnostic techniques using novel clinical devices. 

We hope this Special Issue will be a beneficial and productive medium for the advancement of this field.

Dr. Hyunkyoo Kang
Dr. Hyun Jin Shin
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. Applied Sciences 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

  • biomedical engineering
  • biomedical device
  • noninvasive diagnosis
  • biomedical mechatronics
  • additive manufacturing for biomechanics
  • machine learning and deep learning for biomechanics
  • internet of things for biomechanics
  • biomedical modeling

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

11 pages, 2608 KiB  
Article
Comparison of Orbital Reconstructive Effect between Customized Orbital Implants Using Three-Dimensional Printed Templates and Conventional Manual-Bending Implants in Blowout Fracture Surgery
by Min-Seo Kwon and Hyun Jin Shin
Appl. Sci. 2023, 13(15), 9012; https://doi.org/10.3390/app13159012 - 6 Aug 2023
Cited by 3 | Viewed by 1379
Abstract
The aim of the present study was to determine the orbital reconstructive effect of customized orbital implants using three-dimensional (3D) printed templates compared with conventional manual-bending implants using computed tomography (CT)-based orbital volume measurements. This retrospective study reviewed the medical records and 3D-CT [...] Read more.
The aim of the present study was to determine the orbital reconstructive effect of customized orbital implants using three-dimensional (3D) printed templates compared with conventional manual-bending implants using computed tomography (CT)-based orbital volume measurements. This retrospective study reviewed the medical records and 3D-CT images of 90 patients who underwent medial, inferior, or inferomedial orbital wall reconstruction. The selected patients were categorized into two groups: (1) the 3D group that underwent surgery using 3D-printed customized orbital implant templates and (2) the manual group that received a conventional manual technique to mold the implant. The volume discrepancy (VD) was obtained by subtracting the volume of the contralateral unaffected eye from that of the injured eye. Of the 90 patients, 33 and 57 were divided into the 3D and manual groups, respectively. The volumes on the contralateral unaffected side and on the pre- and postoperative injured sides were 22.5 ± 2.9, 23.7 ± 3.0, and 22.3 ± 2.8 cm3 (mean ± SD), respectively, in the 3D group, and 21.5 ± 2.5, 22.7 ± 2.8, and 21.2 ± 2.7 cm3 in the manual group. The postoperative VD did not differ between the 3D (–0.2 ± 0.3 cm3) and manual (–0.3 ± 0.9 cm3) groups (p = 0.794). The volume on the postoperative injured side did not differ significantly from that on the contralateral unaffected side in the 3D group, but these did differ significantly in the manual group. Postoperative VD also increased with the preoperative VD in the manual group (Pearson correlation coefficient = 0.548, p = 0.001), whereas there was no such association in the 3D group. The orbital volume restoration effect had superior surgical outcomes for large fractures using the customized orbital implant with 3D-printed templates compared with manual-bending implants. Full article
(This article belongs to the Special Issue Novel Clinical Device for Biomedical Engineering)
►▼ Show Figures

Figure 1

14 pages, 64495 KiB  
Article
Study of a Novel High-Frequency Ultrasound-Guided Integrated System for Varicose Veins Ultrasound Therapy
by Jing Xie, Wenchang Huang, Xinze Li, Jiaqi Li, Yiwen Xu, Yang Jiao and Yaoyao Cui
Appl. Sci. 2023, 13(8), 5069; https://doi.org/10.3390/app13085069 - 18 Apr 2023
Viewed by 1589
Abstract
Varicose veins in the lower limb are a common and progressive venous disorder that can significantly reduce patients’ quality of life and pose a threat to their overall health if left untreated. However, current treatment approaches often involve invasive intervention. High-intensity focused ultrasound [...] Read more.
Varicose veins in the lower limb are a common and progressive venous disorder that can significantly reduce patients’ quality of life and pose a threat to their overall health if left untreated. However, current treatment approaches often involve invasive intervention. High-intensity focused ultrasound (HIFU) technology has the potential to treat varicose veins non-invasively, but most systems are bulky and expensive. This study proposes an innovative, integrated system that uses a 4.5 MHz therapeutic probe guided by a 12 MHz ultrasound imaging probe to treat varicose veins in the lower limb. The system aims to achieve high accuracy in repeated treatments by using a high-speed scanning positioning structure, increasing the imaging framerate, and reducing the system’s overall volume. The system’s accuracy is evaluated through reset error tests on an acrylic board, and its effectiveness is tested through in vivo experiments on rabbit marginal ear veins. Tests on porcine arteries are conducted to identify suitable focal points for vascular treatment. The experimental results demonstrate the system’s high accuracy, with a reset error of less than 0.07 mm, and an obvious shrinkage of the predetermined treatment area of the marginal ear veins after therapy. The study identifies that setting the focus on the vascular wall can improve the efficiency of vascular treatment, resulting in significant vasoconstriction changes. These experimental findings provide sufficient evidence for the system’s potential for clinical application in vascular treatment. Full article
(This article belongs to the Special Issue Novel Clinical Device for Biomedical Engineering)
►▼ Show Figures

Figure 1

12 pages, 3785 KiB  
Article
Determining Obstruction in Endotracheal Tubes Using Physical Respiratory Signals
by Hyunkyoo Kang, Jin-Kyung Park, Jinsu An, Jeong-Han Yi and Hyung-Sik Kim
Appl. Sci. 2023, 13(7), 4183; https://doi.org/10.3390/app13074183 - 25 Mar 2023
Cited by 1 | Viewed by 2834
Abstract
This study proposes a method for determining obstruction of the endotracheal tube (ET) and its degree and location. Respiratory signals were acquired using a three sensor (microphone, pressure, and flow) integrated sensor connector. Obstruction classification involved pre-processing and feature extraction. During pre-processing, one [...] Read more.
This study proposes a method for determining obstruction of the endotracheal tube (ET) and its degree and location. Respiratory signals were acquired using a three sensor (microphone, pressure, and flow) integrated sensor connector. Obstruction classification involved pre-processing and feature extraction. During pre-processing, one cycle of the respiratory signal was extracted using respiratory cycle extraction and phase segmentation. The signal was then divided into three phases: (i) inspiratory phase, (ii) expiratory phase, and (iii) between both the phases, where the intrapulmonary pressure increased, decreased, and remained constant, respectively. In the feature extraction process, the results were quantified using absolute value average and texture analyses. Artificial ET tubes were fabricated to simulate the presence of foreign substances in the ET tube; they had different degrees of obstruction (0%, 20%, 40%, and 50%) and obstruction positions (Sections 1, 2, and 3). The experiment was performed by connecting the sensor connector and artificial ET tube between the ventilator and test lung. Respiratory signals were obtained in 10 cases by cross connecting the artificial ET tubes. The degree and location of obstruction were classified according to the average absolute value and texture analyses of the flow data. The obstruction can be determined through the texture analysis results using the combined microphone and flow sensor data. The proposed method is simple in configuration, can be readily used in existing setups, and can be operated regardless of surrounding noise. Full article
(This article belongs to the Special Issue Novel Clinical Device for Biomedical Engineering)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop