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Electronics
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New Application of Wearable Electronics
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New Application of Wearable Electronics

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

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 4783

Special Issue Editor

Dr. Albert Sabban

E-Mail Website
Guest Editor
Department of Electrical Engineering, ORT Braude College of Engineering, Karmiel 2161002, Israel
Interests: wearable systems and antennas; communication systems; medical devices and applications; system engineering; microwave technologies; wearable IoT and medical devices; Iot
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing demand for lower-cost, compact, and smarter wearable communication and healthcare devices has resulted in extensive research that has been dedicated to the development of novel wearable smart healthcare and IOT medical systems. With this Special Issue, we intend to present innovations in wearable communication and healthcare systems. This Special Issue will provide the technical details of modern smart wearable communication and healthcare systems. The information presented in this Special Issue is intended to present new trends and technologies in smart communication and healthcare systems. Smart healthcare devices are equipped with sensors such as thermometers and heart rate monitors. Sensors such as monitors help to maintain patients’ physical conditions. The collected medical data may be transmitted to medical centers for further diagnosis and healthcare assistance. Rapid advances in developing and implementing wearable sensors, actuators, Internet of Things (IoT), and intelligent algorithms provide the tools, potential utility, and unique advantages that can be used to develop smart healthcare devices and rehabilitation systems. In smart medical centers, wireless sensors are attached to patients to collect real-time medical information, such as their fever, heartbeat, sweat, oxygen saturation readings, and other medical information. The medical record of a patient can be stored on a cloud to be accessed by physicians and medical centers whenever it is needed and from anywhere. This Special Issue will be of great interest to biomedical researchers and engineers, wearable technologies researchers, communication systems researchers and engineers, quantitative management, system engineering, and medical center management.

This Special Issue will combine state-of-the-art research, practical applications, and smart technologies. We hope that it will bring together researchers and engineers to discuss various research and development achievements in the field of communication and medical sensors for smart healthcare applications.

Potential contributions to this Special Issue include work related to the novel design and development of wearable biological sensors, wearable medical IoT systems, and wearable communication devices. This Special Issue provides the opportunity for researchers and engineers to publish their novel innovations in the areas of wearable communication and medical devices, smart IoT systems, and medical sensors. These contributions could address state-of-the-art developments and methodologies, as well as applications of wearable communication and medical devices and healthcare systems.

Topics of interest include, but are not limited to, the following:

  • Innovations in wearable system technologies;
  • Wearable body area networks (BANs);
  • Innovations in wireless body area networks (WBANs);
  • Wearable and implantable medical sensors;
  • Wearable communication and IoT systems;
  • Innovations in wearable smart technologies for communication and medical applications;
  • Novel applications in wearable devices.

Dr. Albert Sabban
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. 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

  • new wearable devices
  • wearable technologies
  • wearable sensors, wearable medical applications
  • wearable communication devices

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Published Papers (3 papers)

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Research

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12 pages, 3787 KiB  
Article
Functional Exercise Induces Adaptations in Muscle Oxygen Saturation in Division One Collegiate Butterfly Swimmers: A Randomized Controlled Trial
by Jack Grotke, Austin Alcantara, Joe Amitrano and Dhruv R. Seshadri
Electronics 2024, 13(18), 3680; https://doi.org/10.3390/electronics13183680 - 16 Sep 2024
Cited by 1 | Viewed by 997
Abstract
This study investigates the impact of a five-week functional exercise intervention designed to enhance the muscular endurance of the posterior shoulder musculature, aiming to mitigate shoulder fatigue and overuse injury. Twelve Division I collegiate butterfly swimmers were recruited and evenly randomized into exercise [...] Read more.
This study investigates the impact of a five-week functional exercise intervention designed to enhance the muscular endurance of the posterior shoulder musculature, aiming to mitigate shoulder fatigue and overuse injury. Twelve Division I collegiate butterfly swimmers were recruited and evenly randomized into exercise (EX) and control (CTRL) groups. Weekly 100-yard butterfly sprints were performed, with Muscle Oxygen Saturation (SmO2) continuously monitored using a wearable near-infrared spectroscopy (NIRS) device. This study is among the first to utilize wearable NIRS devices to monitor SmO2 underwater during swimming, demonstrating that a targeted 5-week exercise program significantly improves posterior shoulder endurance, as evidenced by increased Posterior Shoulder Endurance Test (PSET) scores and distinctive SmO2 adaptations in the EX-group compared to the CTRL group. These findings suggest that targeted dryland exercises can enhance posterior shoulder endurance with long-term implications for potentially reducing injury risk and improving performance. Full article
(This article belongs to the Special Issue New Application of Wearable Electronics)
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31 pages, 14432 KiB  
Article
Temporal Convolutional Network-Enhanced Real-Time Implicit Emotion Recognition with an Innovative Wearable fNIRS-EEG Dual-Modal System
by Jiafa Chen, Kaiwei Yu, Fei Wang, Zhengxian Zhou, Yifei Bi, Songlin Zhuang and Dawei Zhang
Electronics 2024, 13(7), 1310; https://doi.org/10.3390/electronics13071310 - 31 Mar 2024
Cited by 4 | Viewed by 1900 | Correction
Abstract
Emotion recognition remains an intricate task at the crossroads of psychology and artificial intelligence, necessitating real-time, accurate discernment of implicit emotional states. Here, we introduce a pioneering wearable dual-modal device, synergizing functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to meet this demand. The [...] Read more.
Emotion recognition remains an intricate task at the crossroads of psychology and artificial intelligence, necessitating real-time, accurate discernment of implicit emotional states. Here, we introduce a pioneering wearable dual-modal device, synergizing functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to meet this demand. The first-of-its-kind fNIRS-EEG ensemble exploits a temporal convolutional network (TC-ResNet) that takes 24 fNIRS and 16 EEG channels as input for the extraction and recognition of emotional features. Our system has many advantages including its portability, battery efficiency, wireless capabilities, and scalable architecture. It offers a real-time visual interface for the observation of cerebral electrical and hemodynamic changes, tailored for a variety of real-world scenarios. Our approach is a comprehensive emotional detection strategy, with new designs in system architecture and deployment and improvement in signal processing and interpretation. We examine the interplay of emotions and physiological responses to elucidate the cognitive processes of emotion regulation. An extensive evaluation of 30 subjects under four emotion induction protocols demonstrates our bimodal system’s excellence in detecting emotions, with an impressive classification accuracy of 99.81% and its ability to reveal the interconnection between fNIRS and EEG signals. Compared with the latest unimodal identification methods, our bimodal approach shows significant accuracy gains of 0.24% for EEG and 8.37% for fNIRS. Moreover, our proposed TC-ResNet-driven temporal convolutional fusion technique outperforms conventional EEG-fNIRS fusion methods, improving the recognition accuracy from 0.7% to 32.98%. This research presents a groundbreaking advancement in affective computing that combines biological engineering and artificial intelligence. Our integrated solution facilitates nuanced and responsive affective intelligence in practical applications, with far-reaching impacts on personalized healthcare, education, and human–computer interaction paradigms. Full article
(This article belongs to the Special Issue New Application of Wearable Electronics)
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13 pages, 1864 KiB  
Case Report
The Use of TheraBracelet Upper Extremity Vibrotactile Stimulation in a Child with Cerebral Palsy—A Case Report
by Na Jin Seo, Molly Brinkhoff, Savannah Fredendall, Patricia Coker-Bolt, Kelly McGloon and Elizabeth Humanitzki
Electronics 2024, 13(16), 3147; https://doi.org/10.3390/electronics13163147 - 9 Aug 2024
Viewed by 1360
Abstract
TheraBracelet is a peripheral vibrotactile stimulation applied to affected upper extremities via a wristwatch-like wearable device during daily activities and therapy to improve upper limb function. The objective of this study was to examine the feasibility of using TheraBracelet for a child with [...] Read more.
TheraBracelet is a peripheral vibrotactile stimulation applied to affected upper extremities via a wristwatch-like wearable device during daily activities and therapy to improve upper limb function. The objective of this study was to examine the feasibility of using TheraBracelet for a child with hemiplegic cerebral palsy. Methods: A nine-year-old male with cerebral palsy was provided with TheraBracelet to use during daily activities in the home and community settings for 1.5 years while receiving standard care physical/occupational therapy. Results: The child used TheraBracelet independently and consistently, except during summer vacations and elbow-to-wrist orthotic use from growth spurt-related contracture. The use of TheraBracelet did not impede or prevent participation in daily activities. No study-related adverse events were reported by the therapist, child, or parent. Future research is warranted to investigate TheraBracelet as a propitious therapeutic device with a focus on the potential impact of use to improve the affected upper limb function in daily activities in children with hemiplegic cerebral palsy. Full article
(This article belongs to the Special Issue New Application of Wearable Electronics)
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