Special Issue "Mechatronics in Biomedicine toward Augmented Intelligence and Autonomy"

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: 31 March 2022.

Special Issue Editor

Dr. Jaesoon Choi
E-Mail Website
Guest Editor
Department of Biomedical Engineering, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Korea
Interests: medical robotics; surgery; intervention; rehabilitation; bio-fabrication

Special Issue Information

Dear Colleagues,

Mechatronics combines diverse technologies, including electronics, mechanics, control, instrumentation, material technologies, and robotics, for novel device and system implementation. Mechatronics is finding increasing applications in biomedicine. Well-known examples among conventional medical devices include medical imaging systems, radiation therapy systems, electromechanical artificial organs, and bionic prostheses. A recent prominent area is medical robotics. Surgery robots expand the area of clinical application rapidly with newly emerging systems, and rehabilitation, nursing, and many other healthcare services see numerous novel methods of integrating automation and robotics technologies into clinical practice. Biology is not an exception in breaking the limit through mechatronics fusion, as seen in automatic cell manipulation systems and biofabrication or bioprinting systems.

The last decade was a remarkable and historic period of rerisen artificial intelligence. In addition to conventional intelligent control and signal processing methods, various intelligence augmentation techniques have been developed. In medical applications, AI is rapidly reaching practical use, mainly in medical image analysis and clinical decision support systems, especially for mass screening and auxiliary preliminary diagnosis. The next advancement of the technology seems to be in mechatronics fusion for medical hardware devices with augmented intelligence. In particular, robotic systems with artificial intelligence will play an indispensable and vital role in implementing non-face-to-face medical care to effectively respond to the pandemic situation and new infectious diseases that will continue to threaten humanity in the future.

This Special Issue focuses on the most recent advances in sensor devices and techniques for augmented intelligence in biomedical mechatronic systems. The application area is broadly open from conventional medical devices to bio-hybrid systems.

Dr. Jaesoon Choi
Guest Editor

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. Biosensors is an international peer-reviewed open access monthly 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 1800 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 (3 papers)

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Research

Article
A Vascular Intervention Assist Device Using Bi-Motional Roller Cartridge Structure and Clinical Evaluation
Biosensors 2021, 11(9), 329; https://0-doi-org.brum.beds.ac.uk/10.3390/bios11090329 - 10 Sep 2021
Viewed by 450
Abstract
Conventional vascular intervention procedures present issues including X-ray exposure during operation, and an experience-dependent success rate and clinical outcome. This paper presents a novel robotic system using modularized bi-motional roller cartridge assemblies for robotic vascular interventions, specifically percutaneous coronary interventions (PCIs). The patient-side [...] Read more.
Conventional vascular intervention procedures present issues including X-ray exposure during operation, and an experience-dependent success rate and clinical outcome. This paper presents a novel robotic system using modularized bi-motional roller cartridge assemblies for robotic vascular interventions, specifically percutaneous coronary interventions (PCIs). The patient-side robot manipulates instruments such as the guiding catheter, guidewire, balloon/stent catheter, and diagnostic sensor catheter via commands from the user interface device, which is controlled by the physician. The proposed roller cartridge assembly can accommodate instruments of various sizes with an active clamping mechanism, and implements simultaneous translation and rotation motions. It also implements force feedback in the physician-side system, to effectively monitor the patient-side system’s status. The positioning accuracy and precision in using the robotic system showed satisfactory performance in a phantom-based test. It was also confirmed, through animal experiments and a pilot clinical trial, that the system demonstrates feasibility for clinical use. Full article
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Article
A Sarcopenia Detection System Using an RGB-D Camera and an Ultrasound Probe: Eye-in-Hand Approach
Biosensors 2021, 11(7), 243; https://0-doi-org.brum.beds.ac.uk/10.3390/bios11070243 - 16 Jul 2021
Viewed by 532
Abstract
Skeletal muscle mass deficiency and quality degradation constitute sarcopenia for elderly people. Sarcopenia can result in musculoskeletal damage and accompany various metabolic problems, which make early sarcopenia diagnosis important. Various modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI), have been [...] Read more.
Skeletal muscle mass deficiency and quality degradation constitute sarcopenia for elderly people. Sarcopenia can result in musculoskeletal damage and accompany various metabolic problems, which make early sarcopenia diagnosis important. Various modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI), have been developed for screening sarcopenia. Recently, ultrasound scanning was suggested for screening sarcopenia because of its safety, usability, and cost effectiveness. However, there has been no standardized assessment methodology for screening sarcopenia with ultrasound scanning. Therefore, prior to this study, we developed a four-degrees-of-freedom (DOF) sarcopenia detection system using an RGB-D camera and an ultrasound probe to automatically scan the human thigh without operator dependency. However, due to the eye-to-hand approach with the RGB-D camera, the system has limited usability for clinical trials. Therefore, in this study we modified the system such that it became eye-in-hand by attaching the RGB-D camera to the upper part of the system with an enhanced arc fitting algorithm. The modified system and enhanced algorithm were verified by an in-vitro test with bean curd-gelatin phantom. The results showed that the thickness of bean curd in the gelatin phantom was maintained at approximately 12.7 ± 0.35 mm over the 71.5 scanning range with 2.49 ± 0.15 N radial force at various thickness measuring points. Full article
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Article
Developing a Quantifying Device for Soft Tissue Material Properties around Lumbar Spines
Biosensors 2021, 11(3), 67; https://0-doi-org.brum.beds.ac.uk/10.3390/bios11030067 - 28 Feb 2021
Viewed by 713
Abstract
Knowing the material properties of the musculoskeletal soft tissue could be important to develop rehabilitation therapy and surgical procedures. However, there is a lack of devices and information on the viscoelastic properties of soft tissues around the lumbar spine. The goal of this [...] Read more.
Knowing the material properties of the musculoskeletal soft tissue could be important to develop rehabilitation therapy and surgical procedures. However, there is a lack of devices and information on the viscoelastic properties of soft tissues around the lumbar spine. The goal of this study was to develop a portable quantifying device for providing strain and stress curves of muscles and ligaments around the lumbar spine at various stretching speeds. Each sample was conditioned and applied for 20 repeatable cyclic 5 mm stretch-and-relax trials in the direction and perpendicular direction of the fiber at 2, 3 and 5 mm/s. Our device successfully provided the stress and strain curve of the samples and our results showed that there were significant effects of speed on the young’s modulus of the samples (p < 0.05). Compared to the expensive commercial device, our lower-cost device provided comparable stress and strain curves of the sample. Based on our device and findings, various sizes of samples can be measured and viscoelastic properties of the soft tissues can be obtained. Our portable device and approach can help to investigate young’s modulus of musculoskeletal soft tissues conveniently, and can be a basis for developing a material testing device in a surgical room or various lab environments. Full article
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