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Wireless Medical Sensor and Internet of Medical Things Ecosystems

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

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 2101

Special Issue Editors


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Guest Editor
Collaborating Researcher, Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology – HELLAS, Nikolaou Plastira 100, Vassilika Vouton, P.O Box 1385, GR-70013 Heraklion, Crete, Greece
Interests: wireless medical sensors; biometrics; IoT; IoMT; cybersecurity; computational medicine and wireless communication networks; biomedical informatics; ambient intelligence and smart surroundings; e-health and m-health related services; cross-layer design in wireless ad -hoc networks; wireless interference channel under SINR constrains; performance and analysis of mobile ad -hoc routing protocols; and wireless network measurements analysis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Computer Science, Foundation for Research and Technology—Hellas, 70013 Heraklion, Greece
Interests: computational medicine and biomedical engineering; computational neuroscience/brain computer interfaces; biosignal analysis/AI; graph visualization and characterization; computational oncology; digital health/ambient intelligence and smart environments
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Modern healthcare is a vast ecosystem, and IoT/WMS-related applications have the potential to empower citizens to manage their own health and disease, using smart medical sensors, remote monitoring, smartphone-enabled data aggregation, medical AI and analysis, and context-aware assistive living technologies. The necessity for remote monitoring today has never been greater, even more evident during the COVID-19 pandemic, and there is an eminent demand for the expansion of new modes of healthcare delivery. Today, there is not an out-of-the-box solution combining synchronous unobtrusive ubiquitous in-transit persistent information capture, analysis (i.e., AI), aggregation, storage, and transfer within modern monitoring environments able to overcome network instabilities and incompatibilities. There is a need to research underlying architectures for WMS and services, embracing the transmission and interpretation of different biosignals from fixed or mobile locations, multi-purpose heterogeneous networking infrastructures, and AI as means for developing smart processing for medical diagnosis and treatment, data harmonization and sharing, linking data services and devices, filling in missing information, and enabling secure and explainable wireless healthcare sensing services. This issue focuses on research related to smart wireless medical sensors and how beyond SoA solutions can infiltrate and disrupt healthcare spaces.

Dr. Emmanouil G. Spanakis
Dr. Vangelis Sakkalis
Guest Editors

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Keywords

  • Internet of Medical Things
  • wireless medical sensors networks
  • mHealth
  • eHealth
  • medical sensors and medical devices
  • 5G mobile networks
  • edge computing
  • AI

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Published Papers (1 paper)

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Research

14 pages, 5084 KiB  
Article
Passive Impedance-Matched Neural Recording Systems for Improved Signal Sensitivity
by Sk Yeahia Been Sayeed, Ghaleb Al Duhni, Hooman Vatan Navaz, John L. Volakis and Markondeya Raj Pulugurtha
Sensors 2023, 23(14), 6441; https://doi.org/10.3390/s23146441 - 16 Jul 2023
Viewed by 1672
Abstract
Wireless passive neural recording systems integrate sensory electrophysiological interfaces with a backscattering-based telemetry system. Despite the circuit simplicity and miniaturization with this topology, the high electrode–tissue impedance creates a major barrier to achieving high signal sensitivity and low telemetry power. In this paper, [...] Read more.
Wireless passive neural recording systems integrate sensory electrophysiological interfaces with a backscattering-based telemetry system. Despite the circuit simplicity and miniaturization with this topology, the high electrode–tissue impedance creates a major barrier to achieving high signal sensitivity and low telemetry power. In this paper, buffered impedance is utilized to address this limitation. The resulting passive telemetry-based wireless neural recording is implemented with thin flexible packages. Thus, the paper reports neural recording implants and integrator systems with three improved features: (1) passive high impedance matching with a simple buffer circuit, (2) a bypass capacitor to route the high frequency and improve mixer performance, and (3) system packaging with an integrated, flexible, biocompatible patch to capture the neural signal. The patch consists of a U-slot dual-band patch antenna that receives the transmitted power from the interrogator and backscatters the modulated carrier power at a different frequency. When the incoming power was 5–10 dBm, the neurosensor could communicate with the interrogator at a maximum distance of 5 cm. A biosignal as low as 80 µV peak was detected at the receiver. Full article
(This article belongs to the Special Issue Wireless Medical Sensor and Internet of Medical Things Ecosystems)
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