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Electronics
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Smart Bioelectronics and Wearable Systems
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Smart Bioelectronics and Wearable Systems

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 24170

Special Issue Editors

Dr. Jo Woon Chong

E-Mail Website
Guest Editor
Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409, USA
Interests: biomedical signal processing; medical instrumentation; identification and modeling of physiological systems; smartphone- or smartwatch-based mobile health monitoring
Special Issues, Collections and Topics in MDPI journals
Dr. Bersain A. Reyes

E-Mail Website
Guest Editor
Biomedical Engineering, Universidad Autónoma de San Luis Potosí, SLP 78290, Mexico
Interests: medical instrumentation; mobile health diagnostics; wearable sensors; biosignal processing; modeling, simulation, and development of novel algorithms to understand dynamic processes and extract distinct features of physiological systems
Dr. Oh Seok Kwon

E-Mail Website
Guest Editor
Korea Research Institutes for Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea
Interests: conductive nanomaterials; interfacing chemistry; optical nanomaterials; electronics; chem/bio sensors; optical sensors; point-of-care test
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Researchers are developing smart bioelectronics and wearable systems to provide high-performance, cost-effective, wireless, and wearable/implantable health monitoring solutions, leading to various health monitoring solutions. This Special Issue welcomes papers describing attractive and creative approaches for smart bioelectronics and wearable systems. Topics include but are not limited to: i) smart biosensors and bioelectronic systems, ii) wearable and implantable health monitoring sensors, iii) smart imaging systems, iv) innovative circuits for medical instrumentation, v) point-of-care healthcare instrumentation, vi) mobile and lab-on-a-chip healthcare microsystems, vii) biomedical signal and image processing of smart electronics, and viii) machine learning/deep learning for smart electronics. In addition, smart wearable health monitoring systems and wireless body sensor networks are of interest because they enable us to enhance bioelectronic devices’ properties.

Dr. Jo Woon Chong
Dr. Bersain A. Reyes
Dr. Oh Seok Kwon
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

  • Biosensors
  • Bioelectronics
  • Health monitoring system
  • Wearable systems
  • Point-of-care healthcare
  • Mobile healthcare system
  • Biomedical signal processing
  • Machine learning algorithms
  • Body sensor network

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Published Papers (4 papers)

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Research

15 pages, 3230 KiB  
Article
Body Size Measurement Using a Smartphone
by Kamrul Hasan Foysal, Hyo-Jung (Julie) Chang, Francine Bruess and Jo-Woon Chong
Electronics 2021, 10(11), 1338; https://doi.org/10.3390/electronics10111338 - 2 Jun 2021
Cited by 13 | Viewed by 8966
Abstract
Measuring body sizes accurately and rapidly for optimal garment fit detection has been a challenge for fashion retailers. Especially for apparel e-commerce, there is an increasing need for digital and convenient ways to obtain body measurements to provide their customers with correct-fitting products. [...] Read more.
Measuring body sizes accurately and rapidly for optimal garment fit detection has been a challenge for fashion retailers. Especially for apparel e-commerce, there is an increasing need for digital and convenient ways to obtain body measurements to provide their customers with correct-fitting products. However, the currently available methods depend on cumbersome and complex 3D reconstruction-based approaches. In this paper, we propose a novel smartphone-based body size measurement method that does not require any additional objects of a known size as a reference when acquiring a subject’s body image using a smartphone. The novelty of our proposed method is that it acquires measurement positions using body proportions and machine learning techniques, and it performs 3D reconstruction of the body using measurements obtained from two silhouette images. We applied our proposed method to measure body sizes (i.e., waist, lower hip, and thigh circumferences) of males and females for selecting well-fitted pants. The experimental results show that our proposed method gives an accuracy of 95.59% on average when estimating the size of the waist, lower hip, and thigh circumferences. Our proposed method is expected to solve issues with digital body measurements and provide a convenient garment fit detection solution for online shopping. Full article
(This article belongs to the Special Issue Smart Bioelectronics and Wearable Systems)
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20 pages, 9218 KiB  
Article
Toward an Advanced Human Monitoring System Based on a Smart Body Area Network for Industry Use
by Kento Takabayashi, Hirokazu Tanaka and Katsumi Sakakibara
Electronics 2021, 10(6), 688; https://doi.org/10.3390/electronics10060688 - 15 Mar 2021
Cited by 9 | Viewed by 2716
Abstract
This research provides a study on a smart body area network (SmartBAN) physical layer (PHY), as an of the Internet of medical things (IoMT) technology, for an advanced human monitoring system in industrial use. The SmartBAN provides a new PHY and a medium [...] Read more.
This research provides a study on a smart body area network (SmartBAN) physical layer (PHY), as an of the Internet of medical things (IoMT) technology, for an advanced human monitoring system in industrial use. The SmartBAN provides a new PHY and a medium access control (MAC) layer, improving its performance and providing very low-latency emergency information transmission with low energy consumption compared with other wireless body area network (WBAN) standards. On the other hand, IoMT applications are expected to become more advanced with smarter wearable devices, such as augmented reality-based human monitoring and work support in a factory. Therefore, it is possible to develop more advanced human monitoring systems for industrial use by combining the SmartBAN with multimedia devices. However, the SmartBAN PHY is not designed to transmit multimedia information such as audio and video. To address this issue, multilevel phase shift keying (PSK) modulation is applied to the SmartBAN PHY, and the symbol rate is improved by setting the roll-off rate appropriately to realize the system. The numerical results show that a sufficient link budget, receiver sensitivity and fade margin were obtained even when those approaches were applied to the SmartBAN PHY. The results indicate that these techniques are required for high-quality audio or video transmission, as well as vital sign data transmission, in a SmartBAN. Full article
(This article belongs to the Special Issue Smart Bioelectronics and Wearable Systems)
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15 pages, 7254 KiB  
Article
SmartFit: Smartphone Application for Garment Fit Detection
by Kamrul H. Foysal, Hyo Jung Chang, Francine Bruess and Jo Woon Chong
Electronics 2021, 10(1), 97; https://doi.org/10.3390/electronics10010097 - 5 Jan 2021
Cited by 17 | Viewed by 6316
Abstract
The apparel e-commerce industry is growing day by day. In recent times, consumers are particularly interested in an easy and time-saving way of online apparel shopping. In addition, the COVID-19 pandemic has generated more need for an effective and convenient online shopping solution [...] Read more.
The apparel e-commerce industry is growing day by day. In recent times, consumers are particularly interested in an easy and time-saving way of online apparel shopping. In addition, the COVID-19 pandemic has generated more need for an effective and convenient online shopping solution for consumers. However, online shopping, particularly online apparel shopping, has several challenges for consumers. These issues include sizing, fit, return, and cost concerns. Especially, the fit issue is one of the cardinal factors causing hesitance and drawback in online apparel purchases. The conventional method of clothing fit detection based on body shapes relies upon manual body measurements. Since no convenient and easy-to-use method has been proposed for body shape detection, we propose an interactive smartphone application, “SmartFit”, that will provide the optimal fitting clothing recommendation to the consumer by detecting their body shape. This optimal recommendation is provided by using image processing and machine learning that are solely dependent on smartphone images. Our preliminary assessment of the developed model shows an accuracy of 87.50% for body shape detection, producing a promising solution to the fit detection problem persisting in the digital apparel market. Full article
(This article belongs to the Special Issue Smart Bioelectronics and Wearable Systems)
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12 pages, 4335 KiB  
Article
Novel Video-Laryngoscope with Wireless Image Transmission via Wi-Fi towards a Smartphone
by Mauricio Guerra-Hernández, Gabriela Josefina Vidaña-Martínez, José S. Camacho-Juárez, Hugo Barragán-Villegas, José Enrique Calacuayo-Rojas, Bersaín Alexander Reyes, Jorge Alberto Castañón-González, Oscar Fernando Núñez-Olvera and Ma. del Pilar Fonseca-Leal
Electronics 2020, 9(10), 1629; https://doi.org/10.3390/electronics9101629 - 3 Oct 2020
Cited by 4 | Viewed by 4950
Abstract
A low-cost video laryngoscope (VDL) called Hybrid 1.0 was developed using smart devices for visualization. To test its performance, we compared it with a high-end VDL device, using both in vitro and in vivo studies. During the in vitro study, medical students without [...] Read more.
A low-cost video laryngoscope (VDL) called Hybrid 1.0 was developed using smart devices for visualization. To test its performance, we compared it with a high-end VDL device, using both in vitro and in vivo studies. During the in vitro study, medical students without experience in airway intubation were randomly asked to intubate a mannequin with different degrees of difficulty (Cormack–Lehane scales) by using either the Hybrid 1.0 VDL (GI) or a conventional laryngoscope (GII). During the in vivo study, N = 60 endotracheal intubations were performed by resident and base physicians, divided into two groups; the first group intubated with the Hybrid 1.0 VDL (GI) while the second group used a VDL C-Mac shovel (GII). As performance indexes, both studies reported the number of successful intubations (correct capnography signal) and intubation time. For the in vitro testing, no statistically significant differences were found regarding the number of successful intubations, while statistically significant differences were found regarding the intubation times. During the in vivo tests, procedures were performed by residents and by base physicians, and no statistically significant differences were found. The provided results point out that the VDL proposed can be clinically useful and offers technical characteristics similar to other VDLs that currently exist on the market. Full article
(This article belongs to the Special Issue Smart Bioelectronics and Wearable Systems)
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