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New Insights into Embedded Systems for Wearables

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 1430

Special Issue Editors


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Guest Editor
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK
Interests: wearables; signal processing; embedded systems

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Guest Editor
Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, 00-661 Warsaw, Poland
Interests: impedance cardiography; wearables; medical electronic

Special Issue Information

Dear Colleagues,

Advancements in embedded systems for use in wearable devices, including improved sensor technologies, miniaturization, efficient data processing algorithms, and optimized power management and data transfer systems, have opened the door to potentially remarkable applications. In this Special Issue, we aim to address recent advances in wearables and their applications.

The scope of this Special Issue includes the following topics:

  • Embedded system advancements for wearable devices;
  • Low-power design techniques for wearable embedded systems;
  • Signal processing and sensor fusion for wearable devices;
  • Embedded machine learning and AI for wearables;
  • Case studies and practical applications of embedded systems in wearable technology.

Both original research and review articles are welcome. We hope that this collection of papers will serve as an inspiration for those interested in wearable devices.

Dr. Marek Zylinski
Prof. Dr. Gerard Cybulski
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. Applied Sciences 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

  • wearables
  • embedded systems
  • signal processing
  • low-power design for wearables
  • machine learning
  • healthcare application

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Published Papers (1 paper)

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Research

16 pages, 2070 KiB  
Article
Evaluation of BLE Star Network for Wireless Wearable Prosthesis/Orthosis Controller
by Kiriaki J. Rajotte, Anson Wooding, Benjamin E. McDonald, Todd R. Farrell, Jianan Li, Xinming Huang and Edward A. Clancy
Appl. Sci. 2024, 14(22), 10455; https://doi.org/10.3390/app142210455 - 13 Nov 2024
Viewed by 1056
Abstract
Concomitant improvements in wireless communication and sensor technologies have increased capabilities of wearable biosensors. These improvements have not transferred to wireless prosthesis/orthosis controllers, in part due to strict latency and power consumption requirements. We used a Bluetooth Low Energy 5.3 (BLE) network to [...] Read more.
Concomitant improvements in wireless communication and sensor technologies have increased capabilities of wearable biosensors. These improvements have not transferred to wireless prosthesis/orthosis controllers, in part due to strict latency and power consumption requirements. We used a Bluetooth Low Energy 5.3 (BLE) network to study the influence of the connection interval (10–100 ms) and event length (2500–7500 μs), ranges appropriate for real-time myoelectric prosthesis/orthosis control on the maximum network size, power consumption, and latency. The number of connections increased from 4 to 12 as the connection interval increased from 10 to 50 ms (event length of 2500 μs). For connection intervals ≤50 ms, the number of connections reduced by ≥50% with the increasing event length. At a connection interval of 100 ms, little change was observed in the number of connections vs. event length. Across event lengths, increasing the connection interval from 10 to 100 ms decreased the average power consumed by approximately 16%. Latency measurements showed that an average of one connection interval (maximum of just over two) elapses between the application of the signal at the peripheral node ADC input and its detection on the central node. Overall, reducing the latency using shorter connection intervals reduces the maximum number of connections and increases power consumption. Full article
(This article belongs to the Special Issue New Insights into Embedded Systems for Wearables)
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