Recent Advanced Applications of Bio-Integrated Electronics and Sensors

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3443

Special Issue Editors


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Guest Editor
Rhaeos, Inc., Evanston, IL 60208, USA
Interests: materials science; biosensors; polymer chemistry; flexible electronics

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Guest Editor
Professor, Department of Materials Science and Engineering, Biomedical Engineering and Neurological Surgery (and by Courtesy Electrical and Computer Engineering, Mechanical Engineering, Chemistry and Dermatology) Director, Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
Interests: flexible electronic; transient electronic; wearable devices; soft materials; wireless devices; optogenetics; healthcare
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Guest Editor
Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA
Interests: flexible/stretchable electronics; micro-electro-mechanical systems (MEMS); nano-micro-macro manufacturing; additive printing; biomedical electronics and sensors; micro-nano materials and devices; solid state electronics; energy harvesting and storage
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The past decade has brought a significant increase in the capabilities of miniaturized, low power sensing technologies’ integration with the human body. Advancements in the power efficiency and computing architectures of small system-on-chip integrated circuits, miniaturization of sensing components, efficiency improvements in wireless communication hardware and protocols, and mechanical and material innovations towards electronics integration with the human body have combined to bring new opportunities for bio-integrated sensing systems.

The aim of this Special Issue is to highlight cutting-edge technology advancements and applications of the next generation of bio-integrated sensing. Example topics of interest include but are not limited to:

  • Wearable sensing;
  • New on-body sensing technologies or applications, including electrophysiological, physical, and biochemical sensing;
  • Flexible and/or stretchable electronics integration with soft tissues;
  • Wireless power and data transmission from wearable sensors;
  • Techniques for fabrication of flexible and/or stretchable electronics, including high throughput techniques;
  • Techniques for integrating rigid electronic components in flexible and/or stretchable systems;
  • Techniques for wearable microfluidic systems.

Dr. R. Chad Webb
Prof. Dr. John A. Rogers
Prof. Dr. Cunjiang Yu
Guest Editors

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Keywords

  • flexible electronics
  • stretchable electronics
  • biosensors
  • bio-integrating sensing

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Published Papers (2 papers)

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Research

10 pages, 562 KiB  
Article
Current Oscillator Based on Pyragas Model for Electrical Bioimpedance Applications
by David William Cordeiro Marcôndes, Pedro Bertemes-Filho and Aleksander Sade Paterno
Electronics 2022, 11(17), 2653; https://doi.org/10.3390/electronics11172653 - 25 Aug 2022
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Abstract
Current sources play an essential role in tissue excitation used in bioelectrical impedance spectroscopy. Most investigations use Howland current sources that, despite their practicality and simplified implementation, have operating frequency limitations and dependence on the load impedance due to their narrow output impedance, [...] Read more.
Current sources play an essential role in tissue excitation used in bioelectrical impedance spectroscopy. Most investigations use Howland current sources that, despite their practicality and simplified implementation, have operating frequency limitations and dependence on the load impedance due to their narrow output impedance, especially at higher frequencies. The objective of this work is to propose a model for a robust current-controlled sinusoidal oscillator. The oscillator is based on fully analog electronics, which enables controlling the oscillation phase and amplitude by using a voltage reference. The mathematical model is based on Pyragas control application to the classical harmonic oscillator. From the modeling process, an oscillator topology was built based on second-generation current carriers and on transconductance amplifiers. A sinusoidal voltage source having a frequency of 1 MHz and an amplitude of 1Vpp was used as a reference signal to drive the oscillator. The oscillator output current synchronized the oscillations’ phase and amplitude using the reference, regardless of their magnitude before the control signal acted in the circuit at t13.5μs. SPICE simulations using ideal components have confirmed the successful operation of the proposed oscillator. This type of oscillator can be implemented in SOIC, then allowing oscillation control interface with logic circuits. Full article
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14 pages, 687 KiB  
Article
Hardware Acceleration of Identifying Barcodes in Multiplexed Nanopore Sequencing
by Wenjie Hu, Yuxin Zhang, Hongrui Zhang and Weigang Chen
Electronics 2022, 11(16), 2596; https://doi.org/10.3390/electronics11162596 - 19 Aug 2022
Viewed by 1299
Abstract
In multiplexed sequencing, the identification of DNA sequencing barcodes can effectively reduce the probability of sample misassignment. However, the great quantity of sequence data requires a high-throughput identification method. Therefore, based on a barcode identification scheme combining cyclic shifting with dynamic programming (DP), [...] Read more.
In multiplexed sequencing, the identification of DNA sequencing barcodes can effectively reduce the probability of sample misassignment. However, the great quantity of sequence data requires a high-throughput identification method. Therefore, based on a barcode identification scheme combining cyclic shifting with dynamic programming (DP), this paper proposes, implements and tests a hardware accelerator that can accelerate barcode identification. In the accelerator, considering that the computational complexity of the DP algorithm can be expressed as the multiplication of the lengths of both involved sequences, we design a systolic array structure with simplified processing element (PE) and a parallel circuit architecture to identify the insertion and deletion errors based on the traceback. The accelerator is implemented on a field-programmable gate array (FPGA), and its performance is compared with that of software implemented on a general-purpose computer. The experimental results indicate that, compared with the software implementation, the accelerator can achieve speedups of two orders of magnitude for longer barcodes. Full article
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