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Recent Developments in Sensors for Wearable Device Applications
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Recent Developments in Sensors for Wearable Device Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors Development".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 17536

Special Issue Editors

Dr. Rex X. Tan

E-Mail Website
Guest Editor
Research & Development, Aevice Health Pte Ltd., Singapore 368585, Singapore
Interests: medical devices; wearable sensors; human-computer interaction; health informatics
Dr. Sunit Jariwala

E-Mail Website
Guest Editor
Clinical & Research Innovation Department, Albert Einstein College of Medicine, NY10461, USA
Interests: health and medical informatics; medical devices; wearable devices
Dr. Ali Asgar Bhagat

E-Mail Website
Guest Editor
Department of Biomedical Engineering, National University of Singapore, Singapore 119077, Singapore
Interests: medical device development; microfluidics; diagnostic development
Dr. Yung Chuen Tan

E-Mail Website
Guest Editor
Agency for Science, Technology and Research, Singapore 637145, Singapore
Interests: lasers; optics; optical fiber sensors; wearable sensors

Special Issue Information

Dear Colleagues,

Wearable sensors provide avenues of direct measurement of various physiological and biochemical data from wearers longitudinally. This capability had already begun to change the way we live our lives, deliver healthcare, and perform day-to-day tasks.

In the current state, limitations are still present in multiple aspects for efficient real-life implementation of wearable sensors. Advances in material science, electronics, computing, and data science enabled numerous wearable applications and are at the core of the realization of wearable sensors and are of interest to this Special Issue.

Potential topics include but are not limited to:

  • Design, and implementation of novel wearable sensors
  • Novel material for wearable sensors
  • Data processing for wearable devices
  • Algorithms for signal processing with wearable sensor
  • Implementation of wearable sensors in health monitoring
  • Development of wearable sensors for physiological monitoring
  • Development of wearable sensor for biochemical monitoring
  • Development of wearable sensors for human augmentation
  • IoT-based wearable sensor systems
  • Hardware design of sensors for wearable applications

Dr. Rex X. Tan
Dr. Sunit Jariwala
Dr. Ali Asgar Bhagat
Dr. Yung Chuen Tan
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.

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Published Papers (5 papers)

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Research

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13 pages, 5083 KiB  
Article
The Development of a Measuring System for Intraoral SpO2
by Yuki Kashima, Minako Onimaru, Ryosuke Isogai, Noboru Kawai, Yoshifumi Yoshida and Koutaro Maki
Sensors 2024, 24(2), 435; https://doi.org/10.3390/s24020435 - 10 Jan 2024
Viewed by 1154
Abstract
Blood oxygen saturation (SpO2) is an essential indicator of a patient’s general condition. However, conventional measurement methods have some issues such as time delay and interference by ambient light. Improved measurement methods must be developed, and there are no reports on [...] Read more.
Blood oxygen saturation (SpO2) is an essential indicator of a patient’s general condition. However, conventional measurement methods have some issues such as time delay and interference by ambient light. Improved measurement methods must be developed, and there are no reports on intraoral measurements of SpO2 using wearable devices. Therefore, we aimed to establish an intraoral SpO2 measurement method for the first time. Twelve healthy adults participated in this study. The following steps were taken: (1) to identify the optimal measurement location, mid-perfusion index (PI) values were measured at six places on the mucosa of the maxilla, (2) to validate the optimal measurement pressure, PI values were obtained at different pressures, and (3) using the proposed mouthpiece device, SpO2 values in the oral cavity and on the finger were analyzed during breath-holding. The highest PI values were observed in the palatal gingiva of the maxillary canine teeth, with high PI values at pressures ranging from 0.3 to 0.8 N. In addition, changes in SpO2 were detected approximately 7 s faster in the oral cavity than those on the finger, which is attributed to their proximity to the heart. This study demonstrates the advantage of the oral cavity for acquiring biological information using a novel device. Full article
(This article belongs to the Special Issue Recent Developments in Sensors for Wearable Device Applications)
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14 pages, 5430 KiB  
Article
A Sensorised Glove to Detect Scratching for Patients with Atopic Dermatitis
by Cheuk-Yan Au, Syen Yee Leow, Chunxiao Yi, Darrion Ang, Joo Chuan Yeo, Mark Jean Aan Koh and Ali Asgar Saleem Bhagat
Sensors 2023, 23(24), 9782; https://doi.org/10.3390/s23249782 - 12 Dec 2023
Viewed by 1820
Abstract
In this work, a lightweight compliant glove that detects scratching using data from microtubular stretchable sensors on each finger and an inertial measurement unit (IMU) on the palm through a machine learning model is presented: the SensorIsed Glove for Monitoring Atopic Dermatitis (SIGMA). [...] Read more.
In this work, a lightweight compliant glove that detects scratching using data from microtubular stretchable sensors on each finger and an inertial measurement unit (IMU) on the palm through a machine learning model is presented: the SensorIsed Glove for Monitoring Atopic Dermatitis (SIGMA). SIGMA provides the user and clinicians with a quantifiable way of assaying scratch as a proxy to itch. With the quantitative information detailing scratching frequency and duration, the clinicians would be able to better classify the severity of itch and scratching caused by atopic dermatitis (AD) more objectively to optimise treatment for the patients, as opposed to the current subjective methods of assessments that are currently in use in hospitals and research settings. The validation data demonstrated an accuracy of 83% of the scratch prediction algorithm, while a separate 30 min validation trial had an accuracy of 99% in a controlled environment. In a pilot study with children (n = 6), SIGMA accurately detected 94.4% of scratching when the glove was donned. We believe that this simple device will empower dermatologists to more effectively measure and quantify itching and scratching in AD, and guide personalised treatment decisions. Full article
(This article belongs to the Special Issue Recent Developments in Sensors for Wearable Device Applications)
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16 pages, 818 KiB  
Article
A Survey on Wearable Sensors for Mental Health Monitoring
by Nuno Gomes, Matilde Pato, André Ribeiro Lourenço and Nuno Datia
Sensors 2023, 23(3), 1330; https://doi.org/10.3390/s23031330 - 25 Jan 2023
Cited by 29 | Viewed by 9420
Abstract
Mental illness, whether it is medically diagnosed or undiagnosed, affects a large proportion of the population. It is one of the causes of extensive disability, and f not properly treated, it can lead to severe emotional, behavioral, and physical health problems. In most [...] Read more.
Mental illness, whether it is medically diagnosed or undiagnosed, affects a large proportion of the population. It is one of the causes of extensive disability, and f not properly treated, it can lead to severe emotional, behavioral, and physical health problems. In most mental health research studies, the focus is on treatment, but fewer resources are focused on technical solutions to mental health issues. The present paper carried out a systematic review of available literature using PRISMA guidelines to address various monitoring solutions in mental health through the use of wearable sensors. Wearable sensors can offer several advantages over traditional methods of mental health assessment, including convenience, cost-effectiveness, and the ability to capture data in real-world settings. Their ability to collect data related to anxiety and stress levels, as well as panic attacks, is discussed. The available sensors on the market are described, as well as their success in providing data that can be correlated with the aforementioned health issues. The current wearable landscape is quite dynamic, and the current offerings have enough quality to deliver meaningful data targeted for machine learning algorithms. The results indicate that mental health monitoring is feasible. Full article
(This article belongs to the Special Issue Recent Developments in Sensors for Wearable Device Applications)
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9 pages, 1749 KiB  
Article
Integrated Mechano-Electrochemical Harvesting Fiber and Thermally Responsive Artificial Muscle for Self-Powered Temperature–Strain Dual-Parameter Sensor
by Hyeon Jun Sim, Jun Ho Noh, Jin Hyeong Choi and Changsoon Choi
Sensors 2023, 23(1), 269; https://doi.org/10.3390/s23010269 - 27 Dec 2022
Cited by 2 | Viewed by 2313
Abstract
Significant progress in healthcare fields around the world has inspired us to develop a wearable strain–temperature sensor that can monitor biomedical signals in daily life. This novel self-powered temperature–strain dual-parameter sensor comprises a mechano-electrochemical harvester (MEH) and a thermally responsive artificial muscle (TAM). [...] Read more.
Significant progress in healthcare fields around the world has inspired us to develop a wearable strain–temperature sensor that can monitor biomedical signals in daily life. This novel self-powered temperature–strain dual-parameter sensor comprises a mechano-electrochemical harvester (MEH) and a thermally responsive artificial muscle (TAM). The MEHTAM system generates electricity from strain and thermal fluctuations. In addition, the sensor is comfortable to wear, owing to its stretchability (>100%), softness (<3 MPa), and one-dimensional fibers (diameter 230 μm). The MEH induces a change in the electrochemical capacitance, resulting in an electrical signal under applied strain (34 μA/m) and stress (20 μA/(m·MPa)). The TAM can be used as a mechanical temperature sensor, because the tensile stroke responds linearly to changes in temperature. As the harvester and artificial muscle are combined, the MEHTAM system generates electricity, owing to external and internal mechanical stimuli caused by muscle contractions as a response to temperature changes. The MEHTAM system that we have developed—a self-powered, strain–temperature dual-parameter sensor that is soft, stretchable, and fiber-shaped—is an interesting candidate for the production of comfortable, wearable, dual-parameter sensors. Full article
(This article belongs to the Special Issue Recent Developments in Sensors for Wearable Device Applications)
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Review

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16 pages, 1004 KiB  
Review
Monitoring Scapular Kinematics through Wearable Magneto-Inertial Measurement Units: State of the Art and New Frontiers
by Carla Antonacci, Umile Giuseppe Longo, Ara Nazarian, Emiliano Schena and Arianna Carnevale
Sensors 2023, 23(15), 6940; https://doi.org/10.3390/s23156940 - 4 Aug 2023
Cited by 1 | Viewed by 1718
Abstract
Monitoring shoulder kinematics, including the scapular segment, is of great relevance in the orthopaedic field. Among wearable systems, magneto-inertial measurement units (M-IMUs) represent a valid alternative for applications in unstructured environments. The aim of this systematic literature review is to report and describe [...] Read more.
Monitoring shoulder kinematics, including the scapular segment, is of great relevance in the orthopaedic field. Among wearable systems, magneto-inertial measurement units (M-IMUs) represent a valid alternative for applications in unstructured environments. The aim of this systematic literature review is to report and describe the existing methods to estimate 3D scapular movements through wearable systems integrating M-IMUs. A comprehensive search of PubMed, IEEE Xplore, and Web of Science was performed, and results were included up to May 2023. A total of 14 articles was included. The results showed high heterogeneity among studies regarding calibration procedures, tasks executed, and the population. Two different techniques were described, i.e., with the x-axis aligned with the cranial edge of the scapular spine or positioned on the flat surface of the acromion with the x-axis perpendicular to the scapular spine. Sensor placement affected the scapular motion and, also, the kinematic output. Further studies should be conducted to establish a universal protocol that reduces the variability among studies. Establishing a protocol that can be carried out without difficulty or pain by patients with shoulder musculoskeletal disorders could be of great clinical relevance for patients and clinicians to monitor 3D scapular kinematics in unstructured settings or during common clinical practice. Full article
(This article belongs to the Special Issue Recent Developments in Sensors for Wearable Device Applications)
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