Bioimpedance and Signal Processing

A special issue of Signals (ISSN 2624-6120).

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 11182

Special Issue Editor


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Guest Editor
Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, 19086 Tallinn, Estonia
Interests: bioimpedance; sensors and sensing; signals and signal processing; impedance spectroscopy; impedance tomography; electronic design; wearable devices
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Special Issue Information

Dear Colleagues,

Research in bioimpedance sensing and measurement, in combination with developments in the synthesis and analysis of measurement signals, has enabled the development of effective devices for the prediction, diagnosis, and monitoring of diseases. We pay particular attention to wearable sensors and devices that run on limited computing resources with low energy reserve. The last matter sets specific requirements for signal processing—fast calculations at low complexity and low energy consumption. Another feature is that we measure and analyze time-varying impedances as of breathing lungs, pumping heart, and pulsating blood, as well as fast-moving pathogens in high-throughput microfluidic devices. That is, concurrent time- and frequency-domain analysis is required. The third and perennial problem is the suppression of noise and elimination of artefacts. In this Special Issue we invite research papers presenting novel methodologies, algorithms, and mathematical approaches for the generation, acquisition, and processing of bioimpedance signals.

Prof. Mart Min
Guest Editor

Manuscript Submission Information

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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. Signals is an international peer-reviewed open access quarterly 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 1000 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

  • bioimpedance
  • health monitoring
  • signal synthesis
  • signal analysis
  • impedance spectroscopy
  • impedance cardiography (ICG)
  • impedance tomography
  • spectral analysis
  • time/frequency processing

Published Papers (1 paper)

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Research

33 pages, 9960 KiB  
Article
Smart Clothing Framework for Health Monitoring Applications
by Mominul Ahsan, Siew Hon Teay, Abu Sadat Muhammad Sayem and Alhussein Albarbar
Signals 2022, 3(1), 113-145; https://0-doi-org.brum.beds.ac.uk/10.3390/signals3010009 - 02 Mar 2022
Cited by 17 | Viewed by 10535
Abstract
Wearable technologies are making a significant impact on people’s way of living thanks to the advancements in mobile communication, internet of things (IoT), big data and artificial intelligence. Conventional wearable technologies present many challenges for the continuous monitoring of human health conditions due [...] Read more.
Wearable technologies are making a significant impact on people’s way of living thanks to the advancements in mobile communication, internet of things (IoT), big data and artificial intelligence. Conventional wearable technologies present many challenges for the continuous monitoring of human health conditions due to their lack of flexibility and bulkiness in size. Recent development in e-textiles and the smart integration of miniature electronic devices into textiles have led to the emergence of smart clothing systems for remote health monitoring. A novel comprehensive framework of smart clothing systems for health monitoring is proposed in this paper. This framework provides design specifications, suitable sensors and textile materials for smart clothing (e.g., leggings) development. In addition, the proposed framework identifies techniques for empowering the seamless integration of sensors into textiles and suggests a development strategy for health diagnosis and prognosis through data collection, data processing and decision making. The conceptual technical specification of smart clothing is also formulated and presented. The detailed development of this framework is presented in this paper with selected examples. The key challenges in popularizing smart clothing and opportunities of future development in diverse application areas such as healthcare, sports and athletics and fashion are discussed. Full article
(This article belongs to the Special Issue Bioimpedance and Signal Processing)
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