Wearable Devices for Biosensors and Healthcare

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Wearable Biosensors".

Deadline for manuscript submissions: closed (20 June 2024) | Viewed by 8915

Special Issue Editors

Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794-5280, USA
Interests: medical device; biosensor; bio-optics; device on a chip; wearable device; ultrasound
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Guest Editor
Department of Mechanical Engineering, Stony Brook University, Stony Brook, NY 11794-2300, USA
Interests: biosensors; soft electronics; soft robotics; haptic interfaces; manufacturing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wearable devices have become increasingly important in health management and care. Technological advances in new materials, nanotechnology and semiconductors have greatly enhanced the development of new biosensors of high accuracy and comfort in wearable settings and device-on-chip solutions for on-site data processing. This Special Issue is soliciting original research in the following focus areas:

  • Biosensor technology for wearable applications;
  • Device-on-chip solutions in biosensing;
  • Flexible and stretchable electronics for biosensors;
  • Nanomaterials for enhanced biosensing;
  • Data processing on biosensors;
  • Implanted biosensors;
  • Integration of artificial intelligence with biosensors.

Dr. Wei Lin
Dr. Shanshan Yao
Guest Editors

Manuscript Submission Information

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Keywords

  • biosensor
  • wearable device
  • nanomaterial
  • device-on-a-chip
  • implantable biosensor
  • flexible electronics
  • artificial intelligence

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Published Papers (2 papers)

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Research

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19 pages, 3124 KiB  
Article
Capacitive Neuromodulation via Material-Based Passive Interaction: Efficacy in Motor Function Improvement in Parkinson Disease
by Fabrizio D’Errico, Francesco Serio and Gianluigi Carioni
Biosensors 2024, 14(7), 354; https://doi.org/10.3390/bios14070354 - 20 Jul 2024
Viewed by 1649
Abstract
A non-invasive and non-pharmacological approach is evaluated for the proprioceptive and postural improvement of PD subjects. The authors evaluated the effectiveness of a class I medical device according to EU regulation 745/2017 designed to develop the mechanism of action based on the modulation [...] Read more.
A non-invasive and non-pharmacological approach is evaluated for the proprioceptive and postural improvement of PD subjects. The authors evaluated the effectiveness of a class I medical device according to EU regulation 745/2017 designed to develop the mechanism of action based on the modulation of action potentials, which occurs in prevalent pathways of the afferent peripheral nervous system efferent in subjects with spasticity. The present observational study, structured in a double-blind randomized manner, therefore, had the main aim of evaluating the ability of the device to improve on the motor and proprioceptive function of PD patients. This study was based on the instrumented gait analysis performed according to the Timed Up and Go (TUG) test procedure, as well as using a fall risk assessment in accordance with the Berg Balance Scale (BBS) procedures. This study involved 25 participants in the active group (no placebo) and 25 in the non-active group (placebo), the latter to whom non-functional devices were applied, but in every respect identical to the functional devices applied to the 25 patients in the no placebo group. Data analysis was conducted using statistical methodologies for statistics, the statistical significance of the results for the observed samples and the interdependence between the measured variables. The study of the mechanism of action based on the remodulation of action potentials was preliminary conducted through numerical modeling of the Hodgkin–Huxley axon, modified by introducing the influence of the capacitive device applied in clinical tests into the validated model to target the dielectric properties of materials constituting the passive sensor. The use of the neuromodulation device promises observable improvements in motor function among PD patients, including increased limb mobility and greater postural stability. Full article
(This article belongs to the Special Issue Wearable Devices for Biosensors and Healthcare)
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Review

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28 pages, 4653 KiB  
Review
Advancements in Wearable EEG Technology for Improved Home-Based Sleep Monitoring and Assessment: A Review
by Manal Mohamed, Nourelhuda Mohamed and Jae Gwan Kim
Biosensors 2023, 13(12), 1019; https://doi.org/10.3390/bios13121019 - 7 Dec 2023
Cited by 4 | Viewed by 5555
Abstract
Sleep is a fundamental aspect of daily life, profoundly impacting mental and emotional well-being. Optimal sleep quality is vital for overall health and quality of life, yet many individuals struggle with sleep-related difficulties. In the past, polysomnography (PSG) has served as the gold [...] Read more.
Sleep is a fundamental aspect of daily life, profoundly impacting mental and emotional well-being. Optimal sleep quality is vital for overall health and quality of life, yet many individuals struggle with sleep-related difficulties. In the past, polysomnography (PSG) has served as the gold standard for assessing sleep, but its bulky nature, cost, and the need for expertise has made it cumbersome for widespread use. By recognizing the need for a more accessible and user-friendly approach, wearable home monitoring systems have emerged. EEG technology plays a pivotal role in sleep monitoring, as it captures crucial brain activity data during sleep and serves as a primary indicator of sleep stages and disorders. This review provides an overview of the most recent advancements in wearable sleep monitoring leveraging EEG technology. We summarize the latest EEG devices and systems available in the scientific literature, highlighting their design, form factors, materials, and methods of sleep assessment. By exploring these developments, we aim to offer insights into cutting-edge technologies, shedding light on wearable EEG sensors for advanced at-home sleep monitoring and assessment. This comprehensive review contributes to a broader perspective on enhancing sleep quality and overall health using wearable EEG sensors. Full article
(This article belongs to the Special Issue Wearable Devices for Biosensors and Healthcare)
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