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Flexible Integrated Sensor Systems for Biomedical and Industrial Applications

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

Deadline for manuscript submissions: 15 March 2026 | Viewed by 283

Special Issue Editor


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Guest Editor
The Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London SW7 2AZ, UK
Interests: CMOS analogue integrated; circuits flexible/stretchable electronics; (bio)-sensors; bioimpedance Raman spectroscopy
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Special Issue Information

Dear Colleagues,

Recent advances in microfabrication, additive fabrication, microelectronics, and sensors are enabling the development of new classes of devices and applications in the field of biomedical sensors and in industrial settings. Application-specific integrated circuit (ASIC) systems on a chip (SoCs) for sensor interrogation and on-node signal processing, advanced computation methods, analog signal processing, and data classification and fusion, as well as in-memory computing, allow ultra-low power consumption and miniaturization, necessary for IoT, wearable, and implantable devices. Advanced sensors that are flexible and stretchable allow for the seamless integration of sensors into the daily routines of users, enabling greater pervasiveness and improvements in the quality of recorded data. Transiency is ideal for implantable devices so that they can be assimilated once they are no longer needed. Such sensing systems can be DC-to-medium-frequency electrical sensors (electrochemical, electrophysiological, bioimpedance, gas sensors, physical sensors, etc.) or based on high-frequency (radar) or optical-based approaches (e.g., photoplethysmography). Issues with sensitivity, selectivity, biocompatibility, packaging, ASIC integration, sensor modeling (especially with regard to mechanical perturbations), sensing modalities, and the co-integration of various types of sensors using different modalities for multi-parametric/multi-modal sensing are of interest to this Special Issue.

Dr. Panagiotis Kassanos
Guest Editor

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Keywords

  • wearable sensors
  • stretchable sensors
  • flexible sensors
  • physiological monitoring
  • multiparametric sensing
  • bioimpedance
  • electrochemical sensors
  • sweat analysis
  • implantable devices
  • transient sensors
  • hydrogels
  • composites
  • additive manufacturing
  • microelectronics
  • microfabrication

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Published Papers (1 paper)

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Research

20 pages, 3212 KiB  
Article
Computationally Efficient Impact Estimation of Coil Misalignment for Magnet-Free Cochlear Implants
by Samuelle Boeckx, Pieterjan Polfliet, Lieven De Strycker and Liesbet Van der Perre
Sensors 2025, 25(14), 4379; https://doi.org/10.3390/s25144379 - 13 Jul 2025
Viewed by 206
Abstract
A cochlear implant (CI) system holds two spiral coils, one external and one implanted. These coils are used to transmit both data and power. A magnet at the center of the coils ensures proper alignment to assure the highest coupling. However, when the [...] Read more.
A cochlear implant (CI) system holds two spiral coils, one external and one implanted. These coils are used to transmit both data and power. A magnet at the center of the coils ensures proper alignment to assure the highest coupling. However, when the recipient needs a magnetic resonance imaging (MRI) scan, this magnet can cause problems due to the high magnetic field of such a scan. Therefore, a new type of implant without magnets would be beneficial and even supersede the current state of the art of hearing implants. To examine the feasibility of magnet-free cochlear implants, this research studies the impact of coil misalignment on the inductive coupling between the coils and thus the power and data transfer. Rather than using time-consuming finite element analysis (FEA), MATLAB is used to examine the impact of lateral, vertical and angular misalignment on the coupling coefficient using derivations of Neumann’s equation. The MATLAB model is verified with FEA software with a median 8% relative error on the coupling coefficient for various misalignments, ensuring that it can be used to study the feasibility of various magnet-free implants and wireless power and data transmission systems in general. In the case of cochlear implants, the results show that by taking patient and technology constraints like skinflap thickness and mechanical design dimensions into account, the mean error can even be reduced to below 5% and magnet-free cochlear implants can be feasible. Full article
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