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Micromachines
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Miniature Soft Biomedical Devices
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Miniature Soft Biomedical Devices

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".

Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 17871

Special Issue Editor

Prof. Dr. Jeonghyun Kim

E-Mail Website
Guest Editor
Department of Electronics Convergence Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
Interests: wearable and stretchable devices; biomedical devices; health-monitoring; digital healthcare; sensors; miniaturization; wireless communication; IoT

Special Issue Information

Dear Colleagues,

Miniature soft electronic technologies are emerging as the basis for the next generation of electronic devices that evolve in various forms. As interest in human health continues to surge, miniature soft biomedical devices have been developed and, with the help of those, it is possible to monitor human health anytime and anywhere. In this Special Issue, we will address the key technologies for the development of miniature soft forms of human-friendly and easy-to-use mobile biomedical devices. Self-diagnostics through the use of these devices hold much potential, especially with regard to a more rapid and continuous diagnosis of health conditions in daily life. This implies that it is possible to create a next-generation healthcare system for the 4th Industrial Revolution, enabling human-centred rather than hospital-centred healthcare. Contributions from industry and academia highlight new applications and new research directions, respectively, which might enable this noble goal.

Prof. Dr. Jeonghyun Kim
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 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. Micromachines 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 2600 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

  • Miniature
  • Soft electronics
  • Biomedical devices
  • Wearable devices
  • Digital healthcare
  • Miniaturization

Published Papers (3 papers)

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Research

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11 pages, 3450 KiB  
Article
Wireless, Skin-Mountable EMG Sensor for Human–Machine Interface Application
by Min-Su Song, Sung-Gu Kang, Kyu-Tae Lee and Jeonghyun Kim
Micromachines 2019, 10(12), 879; https://doi.org/10.3390/mi10120879 - 14 Dec 2019
Cited by 21 | Viewed by 7901
Abstract
The development of advanced technologies for wireless data collection and the analysis of quantitative data, with application to a human–machine interface (HMI), is of growing interest. In particular, various wearable devices related to HMIs are being developed. These devices require a customization process [...] Read more.
The development of advanced technologies for wireless data collection and the analysis of quantitative data, with application to a human–machine interface (HMI), is of growing interest. In particular, various wearable devices related to HMIs are being developed. These devices require a customization process that considers the physical characteristics of each individual, such as mounting positions of electrodes, muscle masses, and so forth. Here, the authors report device and calculation concepts for flexible platforms that can measure electrical signals changed through electromyography (EMG). This soft, flexible, and lightweight EMG sensor can be attached to curved surfaces such as the forearm, biceps, back, legs, etc., and optimized biosignals can be obtained continuously through post-processing. In addition to the measurement of EMG signals, the application of the HMI has stable performance and high accuracy of more than 95%, as confirmed by 50 trials per case. The result of this study shows the possibility of application to various fields such as entertainment, the military, robotics, and healthcare in the future. Full article
(This article belongs to the Special Issue Miniature Soft Biomedical Devices)
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15 pages, 6726 KiB  
Article
Coordinative Motion-Based Bilateral Rehabilitation Training System with Exoskeleton and Haptic Devices for Biomedical Application
by Songyuan Zhang, Qiang Fu, Shuxiang Guo and Yili Fu
Micromachines 2019, 10(1), 8; https://doi.org/10.3390/mi10010008 - 24 Dec 2018
Cited by 23 | Viewed by 4756
Abstract
According to the neuro-rehabilitation theory, compared with unilateral training, bilateral training is proven to be an effective method for hemiparesis, which affects the most part of stroke patients. In this study, a novel bilateral rehabilitation training system, which incorporates a lightweight exoskeleton device [...] Read more.
According to the neuro-rehabilitation theory, compared with unilateral training, bilateral training is proven to be an effective method for hemiparesis, which affects the most part of stroke patients. In this study, a novel bilateral rehabilitation training system, which incorporates a lightweight exoskeleton device worn on the affected limb; a haptic device (Phantom Premium), which is used for generating a desired tactile feedback for the affected limb; and a VR (virtual reality) graphic interface, has been developed. The use of VR technology during rehabilitation can provide goal directed tasks with rewards and motivate the patient to undertake extended rehabilitation. This paper is mainly focused on elbow joint training, and other independent joints can be trained by easily changing the VR training interface. The haptic device is adopted to enable patients to use their own decision making abilities with a tactical feedback. Integrated with a VR-based graphic interface, the goal-oriented task can help to gradually recovery their motor function with a coordinative motion between two limbs. In particular, the proposed system can accelerate neural plasticity and motor recovery in those patients with little muscle strength by using the exoskeleton device. The exoskeleton device can provide from relatively high joint impedance to near-zero impedance, and can provide a partial assist as the patient requires. Full article
(This article belongs to the Special Issue Miniature Soft Biomedical Devices)
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Review

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16 pages, 1559 KiB  
Review
Development of the Troponin Detection System Based on the Nanostructure
by Taek Lee, Jae-Hyuk Ahn, Jinha Choi, Yeonju Lee, Jin-Myung Kim, Chulhwan Park, Hongje Jang, Tae-Hyung Kim and Min-Ho Lee
Micromachines 2019, 10(3), 203; https://doi.org/10.3390/mi10030203 - 22 Mar 2019
Cited by 19 | Viewed by 4793
Abstract
During the last 30 years, the World Health Organization (WHO) reported a gradual increase in the number of patients with cardiovascular disease (CVD), not only in developed but also in developing countries. In particular, acute myocardial infarction (AMI) is one of the severe [...] Read more.
During the last 30 years, the World Health Organization (WHO) reported a gradual increase in the number of patients with cardiovascular disease (CVD), not only in developed but also in developing countries. In particular, acute myocardial infarction (AMI) is one of the severe CVDs because of the high death rate, damage to the body, and various complications. During these harmful effects, rapid diagnosis of AMI is key for saving patients with CVD in an emergency. The prompt diagnosis and proper treatment of patients with AMI are important to increase the survival rate of these patients. To treat patients with AMI quickly, detection of a CVD biomarker at an ultra-low concentration is essential. Cardiac troponins (cTNs), cardiac myoglobin (cMB), and creatine kinase MB are typical biomarkers for AMI detection. An increase in the levels of those biomarkers in blood implies damage to cardiomyocytes and thus is related to AMI progression. In particular, cTNs are regarded as a gold standard biomarker for AMI diagnosis. The conventional TN detection system for detection of AMI requires long measurement time and is labor-intensive and tedious. Therefore, the demand for sensitive and selective TN detection techniques is increasing at present. To meet this demand, several approaches and methods have been applied to develop a TN detection system based on a nanostructure. In the present review, the authors reviewed recent advances in TN biosensors with a focus on four detection systems: (1) An electrochemical (EC) TN nanobiosensor, (2) field effect transistor (FET)-based TN nanobiosensor, (3) surface plasmon resonance (SPR)-based TN nanobiosensor and (4) surface enhanced Raman spectroscopy (SERS)-based TN nanobiosensor. Full article
(This article belongs to the Special Issue Miniature Soft Biomedical Devices)
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