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Recent Advances in Wireless Power and Data Transfer System for Biomedical/Wearable/Healthcare Devices

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

Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 5570

Special Issue Editors

Dr. Byunghun Lee

E-Mail Website
Guest Editor
Department of Biomedical Engineering/Electrical Engineering, Hanyang University, Seoul, Republic of Korea
Interests: biomedical circuit and system; wireless power for biomedical devices
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hyung-Min Lee

E-Mail Website
Guest Editor
School of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea
Interests: analog/mixed-signal IC design; radiation-tolerant electronics; radiation hardening by design (RHBD); power-management circuits; biomedical microsystem
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biomedical devices have been successfully developed in a wide range of medical and neuroscience applications to treat disorders or monitor biological signals from patients. Wireless power transfer plays an essential role in receiving power from the outside so that biomedical devices can operate stably for a long time without replacing batteries. The data transfer techniques, called data telemetries, have been also widely used for biomedical applications with wireless power transfer to communicate with an external unit, control the parameters in the devices, and inform the monitoring status. In this Special Issue, we are focusing on recent advances in wireless power and data transfer systems for biomedical/wearable/healthcare devices. The topics covered in this Special Issue include but are not limited to theories and techniques for short- or long-distance wireless/data transfer, RF energy harvesting, and various applications of wireless power/data transfer for biomedical/wearable/healthcare devices. We invite contributions from researchers to submit their high-quality manuscripts for publication in this Special Issue.

Dr. Byunghun Lee
Prof. Dr. Hyung-Min Lee
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. Sensors 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 2600 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

  • biomedical/wearable/healthcare device applications
  • wireless power transfer
  • data telemetry, human body communication
  • near field, ultrasound, midfield, energy harvesting
  • other topics related to wireless power/data (data modulation, transmitter, receivers, safety issues)

Published Papers (2 papers)

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Research

15 pages, 5181 KiB  
Article
Efficient Distributed Wireless Power Transfer System for Multiple Wearable Sensors through Textile Coil Array
by Zuolin Li, Junhyuck Lee, Jaemyung Lim and Byunghun Lee
Sensors 2023, 23(5), 2810; https://doi.org/10.3390/s23052810 - 03 Mar 2023
Cited by 3 | Viewed by 1442
Abstract
When it is necessary to detect various physiological signals of the human body, clothing embroidered with near-field effect patterns can be used as a long-term power supply medium to supply power to long-distance transmitters and receivers to form a wireless power supply system. [...] Read more.
When it is necessary to detect various physiological signals of the human body, clothing embroidered with near-field effect patterns can be used as a long-term power supply medium to supply power to long-distance transmitters and receivers to form a wireless power supply system. The proposed system uses an optimized parallel circuit to achieve a power transfer efficiency of more than five times higher than that of the existing series circuit. The power transfer efficiency of simultaneously supplying energy to multiple sensors is increased higher than five times and even more when only one sensor is coupled. When powering eight sensors at the same time, the power transmission efficiency can reach 25.1%. Even when eight sensors powered by the coupled textile coils are reduced to one, the power transfer efficiency of the whole system can reach 13.21%. Additionally, the proposed system is also applicable when the number of sensors ranges from 2 to 12. Full article
(This article belongs to the Special Issue Recent Advances in Wireless Power and Data Transfer System for Biomedical/Wearable/Healthcare Devices)
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12 pages, 1822 KiB  
Article
Advantage of Vital Sign Monitoring Using a Wireless Wearable Device for Predicting Septic Shock in Febrile Patients in the Emergency Department: A Machine Learning-Based Analysis
by Arom Choi, Kyungsoo Chung, Sung Phil Chung, Kwanhyung Lee, Heejung Hyun and Ji Hoon Kim
Sensors 2022, 22(18), 7054; https://doi.org/10.3390/s22187054 - 17 Sep 2022
Cited by 11 | Viewed by 3495
Abstract
Intermittent manual measurement of vital signs may not rapidly predict sepsis development in febrile patients admitted to the emergency department (ED). We aimed to evaluate the predictive performance of a wireless monitoring device that continuously measures heart rate (HR) and respiratory rate (RR) [...] Read more.
Intermittent manual measurement of vital signs may not rapidly predict sepsis development in febrile patients admitted to the emergency department (ED). We aimed to evaluate the predictive performance of a wireless monitoring device that continuously measures heart rate (HR) and respiratory rate (RR) and a machine learning analysis in febrile but stable patients in the ED. We analysed 468 patients (age, ≥18 years; training set, n = 277; validation set, n = 93; test set, n = 98) having fever (temperature >38 °C) and admitted to the isolation care unit of the ED. The AUROC of the fragmented model with device data was 0.858 (95% confidence interval [CI], 0.809–0.908), and that with manual data was 0.841 (95% CI, 0.789–0.893). The AUROC of the accumulated model with device data was 0.861 (95% CI, 0.811–0.910), and that with manual data was 0.853 (95% CI, 0.803–0.903). Fragmented and accumulated models with device data detected clinical deterioration in febrile patients at risk of septic shock 9 h and 5 h 30 min earlier, respectively, than those with manual data. Continuous vital sign monitoring using a wearable device could accurately predict clinical deterioration and reduce the time to recognise potential clinical deterioration in stable ED patients with fever. Full article
(This article belongs to the Special Issue Recent Advances in Wireless Power and Data Transfer System for Biomedical/Wearable/Healthcare Devices)
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