Special Issue "Ubiquitous Sensing for Smart Health Monitoring"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: 10 July 2020.

Special Issue Editor

Dr. Yusuf A. Bhagat
Website
Guest Editor
Nypro, a JABIL Company, St. Petersburg, FL 33711, USA
Interests: sensors; embedded systems; antennas; optics; medical imaging

Special Issue Information

Dear Colleagues,

Large volumes of information are generated on the basis of smaller, faster, and more pervasive sensing integrated within our current health monitoring systems. Such information holds the potential to yield proportionally large bioinformatics data sets for transformation into actionable medical knowledge. This knowledge aids in tracking and diagnosis of physiological issues, clinical decision making, early detection of infectious diseases, prevention, and ultimately, the swift analysis of health hazards.

In an effort to promote the proliferation of the aforementioned tasks, it is invaluable to explore ever advancing topics such as the design and development of ubiquitous and unobtrusive health monitoring systems, the types of sensors deployed within such systems, biosensing trends and developments, sensor networks, data modeling, algorithm developments, and more. This Special Issue aims to address these topics by focusing on novel solutions in this vast realm. Contributions that include but are not limited to the following topics are welcome:

  • Pervasive and unobtrusive physiological monitoring solutions;
  • Wearable health monitoring technologies;
  • Implantable biosensors;
  • Textiles and clothing;
  • Internet of Healthcare Things (IoHT);
  • Connected health solutions;
  • Wireless sensing;
  • Unconventional healthcare sensing;
  • Multimodal sensing and analysis solutions;
  • Body sensor networks;
  • Longitudinal sensor data synthesis;
  • Data modeling and mining techniques;
  • Signal processing and deep learning in sensor systems;
  • Data fusion and multivariate algorithm development.

Submitted manuscripts should present novel contributions highlighting innovative technologies and applications. Relevant topical reviews are also encouraged for submission.

Dr. Yusuf A. Bhagat
Guest Editor

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 papers will be 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. Information is an international peer-reviewed open access monthly 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

  • Ubiquitous and pervasive health sensing
  • Wearable sensors
  • Smart health monitoring
  • Internet of Healthcare Things (IoHT)
  • Multimodal sensing
  • Data fusion
  • Algorithm developments

Published Papers (2 papers)

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Research

Open AccessArticle
Non-Contact Driver Respiration Rate Detection Technology Based on Suppression of Multipath Interference with Directional Antenna
Information 2020, 11(4), 192; https://doi.org/10.3390/info11040192 - 04 Apr 2020
Abstract
Non-contact driver respiration rate detection is a challenging problem in the Internet of Vehicles, because the automobile environment is much narrower, and thus the multipath effect is greater. To overcome these challenges, a 2.4 GHz continuous wave forward-scattering radar respiratory detection system is [...] Read more.
Non-contact driver respiration rate detection is a challenging problem in the Internet of Vehicles, because the automobile environment is much narrower, and thus the multipath effect is greater. To overcome these challenges, a 2.4 GHz continuous wave forward-scattering radar respiratory detection system is proposed based on the theory that the radar cross-section (RCS) of the human body changes with human breathing. We also analyze the impact of the multipath effect in the vehicle on the received radar signal and compare the output signal captured by a directional antenna with that captured by an omnidirectional antenna in the proposed system. In addition, the mean value of the received signal’s envelope is used to judge whether the driver’s posture is reasonable. Finally, compared with the existing contact respiratory detection system, the actual test results demonstrate the effectiveness of the proposed FSR system, and the driver respiration rates obtained by the proposed system are consistent with those obtained by the contact respiratory detection system. Full article
(This article belongs to the Special Issue Ubiquitous Sensing for Smart Health Monitoring)
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Open AccessCommunication
Paper-Based Flexible Electrode Using Chemically-Modified Graphene and Functionalized Multiwalled Carbon Nanotube Composites for Electrophysiological Signal Sensing
Information 2019, 10(10), 325; https://doi.org/10.3390/info10100325 - 22 Oct 2019
Abstract
Flexible paper-based physiological sensor electrodes were developed using chemically-modified graphene (CG) and carboxylic-functionalized multiwalled carbon nanotube composites ([email protected]). A solvothermal process with additional treatment was conducted to synthesize CG and [email protected] to make [email protected] composites. The composite was sonicated in an appropriate solvent [...] Read more.
Flexible paper-based physiological sensor electrodes were developed using chemically-modified graphene (CG) and carboxylic-functionalized multiwalled carbon nanotube composites ([email protected]). A solvothermal process with additional treatment was conducted to synthesize CG and [email protected] to make [email protected] composites. The composite was sonicated in an appropriate solvent to make a uniform suspension, and then it was drop cast on a nylon membrane in a vacuum filter. A number of batches (0%~35% [email protected]) were prepared to investigate the performance of the physical characteristics. The 25% [email protected] composite showed the best adhesion on the paper substrate. The surface topography and chemical bonding of the proposed [email protected] electrodes were characterized by scanning electron microscopy (SEM) and Raman spectroscopy, respectively. The average sheet resistance of the 25% [email protected] electrode was determined to be 75 Ω/□, and it showed a skin contact impedance of 45.12 kΩ at 100 Hz. Electrocardiogram (ECG) signals were recorded from the chest and fingertips of healthy adults using the proposed electrodes. The [email protected] electrodes demonstrated comfortability and a high sensitivity for electrocardiogram signal detection. Full article
(This article belongs to the Special Issue Ubiquitous Sensing for Smart Health Monitoring)
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