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Special Issue "Soft Material-Enabled Electronics for Medicine, Healthcare, and Human-Machine Interfaces"

A special issue of Materials (ISSN 1996-1944).

Deadline for manuscript submissions: 31 October 2018

Special Issue Editors

Guest Editor
Prof. Dr. W. Hong Yeo

George W. Woodruff School of Mechanical Engineering, Center for Flexible Electronics, Institute for Electronics and Nanotechnology, Petit Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA
Website | E-Mail
Interests: wearable electronics; implantable electronics; nanoengineering and bioengineering
Guest Editor
Prof. Dr. Jae-Woong Jeong

Department of Electrical Computer and Energy Engineering, Materials Science and Engineering Program, University of Colorado Boulder, Boulder, CO, USA
Website | E-Mail
Interests: flexible/stretchable electronics; bio-integrated engineering and nanofluidics

Special Issue Information

Dear Colleagues,

Soft, functional materials enable comfortable, low-profile electronic systems, including sensors, stimulators, and actuators, for applications in medicine, healthcare, and human–machine interfaces.  Engineering of materials that provide a very small form factor when integrated with functional components makes extremely flexible and stretchable electronics, which can overcome the current limitations of existing electronics based on rigid, planar materials. In addition, soft electronics-enabled biosystems offer compliant, ergonomic interactions and tissue-conformal lamination with a human body for highly sensitive detection of physiological signals.

This Special Issue focuses on the use of soft, hybrid, functional materials to design and develop unobtrusive, multifunctional wearable and implantable electronics for biomedical applications.  Specifically, we seek papers that discuss new soft materials, flexible/stretchable sensors, and soft actuators to advance fundamental knowledge or technology in human health monitoring, disease diagnostics, healthcare, brain–computer interactions, and human–machine interfaces.

We invite full papers, communications, and reviews that cover one or several of the listed keywords below.

Prof. Dr. W. Hong Yeo
Prof. Dr. Jae-Woong Jeong
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 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. Materials 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 1600 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

  • soft material
  • wearable electronics
  • implantable electronics
  • biosensing
  • diagnostics
  • health monitoring
  • human–machine interface

Published Papers (3 papers)

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Research

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Open AccessArticle An Optical Biosensing Strategy Based on Selective Light Absorption and Wavelength Filtering from Chromogenic Reaction
Materials 2018, 11(3), 388; https://doi.org/10.3390/ma11030388
Received: 12 February 2018 / Revised: 27 February 2018 / Accepted: 6 March 2018 / Published: 6 March 2018
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Abstract
To overcome the time and space constraints in disease diagnosis via the biosensing approach, we developed a new signal-transducing strategy that can be applied to colorimetric optical biosensors. Our study is focused on implementation of a signal transduction technology that can directly translate
[...] Read more.
To overcome the time and space constraints in disease diagnosis via the biosensing approach, we developed a new signal-transducing strategy that can be applied to colorimetric optical biosensors. Our study is focused on implementation of a signal transduction technology that can directly translate the color intensity signals—that require complicated optical equipment for the analysis—into signals that can be easily counted with the naked eye. Based on the selective light absorption and wavelength-filtering principles, our new optical signaling transducer was built from a common computer monitor and a smartphone. In this signal transducer, the liquid crystal display (LCD) panel of the computer monitor served as a light source and a signal guide generator. In addition, the smartphone was used as an optical receiver and signal display. As a biorecognition layer, a transparent and soft material-based biosensing channel was employed generating blue output via a target-specific bienzymatic chromogenic reaction. Using graphics editor software, we displayed the optical signal guide patterns containing multiple polygons (a triangle, circle, pentagon, heptagon, and 3/4 circle, each associated with a specified color ratio) on the LCD monitor panel. During observation of signal guide patterns displayed on the LCD monitor panel using a smartphone camera via the target analyte-loaded biosensing channel as a color-filtering layer, the number of observed polygons changed according to the concentration of the target analyte via the spectral correlation between absorbance changes in a solution of the biosensing channel and color emission properties of each type of polygon. By simple counting of the changes in the number of polygons registered by the smartphone camera, we could efficiently measure the concentration of a target analyte in a sample without complicated and expensive optical instruments. In a demonstration test on glucose as a model analyte, we could easily measure the concentration of glucose in the range from 0 to 10 mM. Full article
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Review

Jump to: Research

Open AccessFeature PaperReview Advances in Materials for Recent Low-Profile Implantable Bioelectronics
Materials 2018, 11(4), 522; https://doi.org/10.3390/ma11040522
Received: 27 February 2018 / Revised: 20 March 2018 / Accepted: 26 March 2018 / Published: 29 March 2018
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Abstract
The rapid development of micro/nanofabrication technologies to engineer a variety of materials has enabled new types of bioelectronics for health monitoring and disease diagnostics. In this review, we summarize widely used electronic materials in recent low-profile implantable systems, including traditional metals and semiconductors,
[...] Read more.
The rapid development of micro/nanofabrication technologies to engineer a variety of materials has enabled new types of bioelectronics for health monitoring and disease diagnostics. In this review, we summarize widely used electronic materials in recent low-profile implantable systems, including traditional metals and semiconductors, soft polymers, biodegradable metals, and organic materials. Silicon-based compounds have represented the traditional materials in medical devices, due to the fully established fabrication processes. Examples include miniaturized sensors for monitoring intraocular pressure and blood pressure, which are designed in an ultra-thin diaphragm to react with the applied pressure. These sensors are integrated into rigid circuits and multiple modules; this brings challenges regarding the fundamental material’s property mismatch with the targeted human tissues, which are intrinsically soft. Therefore, many polymeric materials have been investigated for hybrid integration with well-characterized functional materials such as silicon membranes and metal interconnects, which enable soft implantable bioelectronics. The most recent trend in implantable systems uses transient materials that naturally dissolve in body fluid after a programmed lifetime. Such biodegradable metallic materials are advantageous in the design of electronics due to their proven electrical properties. Collectively, this review delivers the development history of materials in implantable devices, while introducing new bioelectronics based on bioresorbable materials with multiple functionalities. Full article
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Open AccessReview Soft Material-Enabled, Flexible Hybrid Electronics for Medicine, Healthcare, and Human-Machine Interfaces
Materials 2018, 11(2), 187; https://doi.org/10.3390/ma11020187
Received: 5 January 2018 / Revised: 20 January 2018 / Accepted: 23 January 2018 / Published: 24 January 2018
Cited by 2 | PDF Full-text (4039 KB) | HTML Full-text | XML Full-text
Abstract
Flexible hybrid electronics (FHE), designed in wearable and implantable configurations, have enormous applications in advanced healthcare, rapid disease diagnostics, and persistent human-machine interfaces. Soft, contoured geometries and time-dynamic deformation of the targeted tissues require high flexibility and stretchability of the integrated bioelectronics. Recent
[...] Read more.
Flexible hybrid electronics (FHE), designed in wearable and implantable configurations, have enormous applications in advanced healthcare, rapid disease diagnostics, and persistent human-machine interfaces. Soft, contoured geometries and time-dynamic deformation of the targeted tissues require high flexibility and stretchability of the integrated bioelectronics. Recent progress in developing and engineering soft materials has provided a unique opportunity to design various types of mechanically compliant and deformable systems. Here, we summarize the required properties of soft materials and their characteristics for configuring sensing and substrate components in wearable and implantable devices and systems. Details of functionality and sensitivity of the recently developed FHE are discussed with the application areas in medicine, healthcare, and machine interactions. This review concludes with a discussion on limitations of current materials, key requirements for next generation materials, and new application areas. Full article
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Graphical abstract

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

1. Author: Changwon Wang

Title: Development of textile capacitive pressure sensing insole for gait pattern analysis in healthy adults and patients with hemiparesis

Abstract: The purpose of this study was to develop a textile capacitive pressure sensing insole (TCPSI) and a real-time monitoring system for gait pattern analysis in healthy adults and hemiparetic patients. In this paper, two separate experiments were carried out. Performance evaluation of the developed insole sensor was first executed by comparing the signal accuracy level between TCPSI and F-scan. Gait data from 15 healthy subjects were simultaneously collected by both sensors for 3 minutes on a treadmill at a fixed speed. Each participant walked for four times at the speed of 1.5 km/h, 2.5 km/h, 3.5 km/h, and 4.5 km/h, where the gait speed was randomly chosen. Step count data from both sensors resulted in 100% correlation in all of the four pre-defined gait speed conditions (1.5 km/h: 89±7.4, 2.5 km/h: 113±6.24, 3.5 km/h: 141±9.74, 4.5 km/h: 163±7.38 steps). Stride time was concurrently determined by the two sensors, and the results showed an average of 90.1% correlation in the left foot, and 89.7% correlation in the right foot (p<0.05). Bilateral gait coordination analysis was secondly performed in healthy adults and hemiparetic patients to examine the feasibility of the developed sensor with the monitoring system for future clinical and normative studies. For this experiment, a total of 34 subjects (n=17; hemiparetic) participated and phase coordination index (PCI) was used for analysis. PCI value of the healthy subjects resulted in 5.62% (SD±5.05%) and hemiparetic patients had 19.5% (SD±13.86%). The results showed a threefold difference between the two groups; these results conform to those of previous studies. Therefore, the insole developed in this study has been confirmed to have an equivalent performance to commercial sensors, and thus can be used not only for future sensor-based monitoring device development studies but also in clinical setting for patient gait evaluations.

Keywords: Conductive textile; Gait; Hemiparetic; Real-Time Monitoring; Insole

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