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Automatic Control and Robotics in Biomedical Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 6088

Special Issue Editors


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Guest Editor
Bioprocesses Department at the UPIBI, The National Polytechnic Institute, Mexico City 07340, Mexico
Interests: artificial intelligence; automatic control

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Guest Editor
Center for Research and Advanced Studies Av. IPN 2508, Department of Control Automatics, Col. San Pedro Zacatenco, Mexico City 07360, Mexico
Interests: engineering; automatic control; applied mathematics; computer sciences

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Guest Editor
Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Mexico City Z.C. 07700, Mexico
Interests: sliding mode control; recurrent neural networks

Special Issue Information

Dear Colleagues,

Automatized robotic devices (ARDs) are becoming relevant in all aspects of modern society, and biomedical devices are no exception. ARDs have contributed in developing active devices designed to help people to regain their health. As such, the application of ARDs in rehabilitation is now recognized as a principal research area in the field of robotics. Indeed, the field of controlled biomedical robotics is now recognized as an independent discipline in robotics, considering the particular necessities of such classes of robotic configurations including precise motions, force tasks conditions, state restrictions, etc. Formally, biomedical robotics is a field of research centered on understanding and augmenting medical capacities through the application of robotic devices.

The aim of this Special Issue is to highlight the competences of different automatic control areas in order to regulate, adjust or control medical devices designed to contribute to the treatment of diverse pathologies. Particularly encouraged are studies that focus on the application of automatic control tools to solving complex processes in designing, manufacturing, instrumenting, operating and controlling devices designed to contribute to the rehabilitation of pathologies.

Significantly, this Special Issue offers a platform for students, researchers, and other professionals to present work on the development of automatic control solutions within the field of medical robotics, with the hope that this work may have a relevant impact on the real-life applications of biomedical robotics and its related disciplines.

Potential topics include but are not limited to the following:

  • Automatic control in biomedical robotics;
  • Robotic rehabilitation including automatic control theories;
  • Adaptive and intelligent instrumentation of biomedical robots;
  • Soft robotics in medical disciplines;
  • Mechanical design of robots in biomedicine;
  • Intelligent control of biomedical robots;
  • Hybrid adaptive and robust control (position-force and position-impedance) of biomedical robots;
  • On-line optimization of biomedical systems;
  • Automatic control of biomedical systems with state restrictions;
  • Artificial intelligence for neuro robotic feedback;
  • Control of infinite dimensional systems with application in biomedical systems;
  • Automatic control of imagenology based robotic devices;
  • Applications of automatic control systems in pharmacological systems;
  • New theoretical results for automatic control systems applied on biomedical systems.

Dr. Isaac Chairez
Prof. Dr. Alexander S. Poznyak
Dr. Ivan de Jesus Salgado Ramos
Guest Editors

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 submissions that pass pre-check are 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Published Papers (2 papers)

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21 pages, 24713 KiB  
Article
Automated and Controlled System for Analysis of Residual Limbs Thermograms of Transtibial Amputees
by Mariana Ballesteros, Manuel A. Lopez-Perez, Rita Q. Fuentes-Aguilar, Pedro E. Chavarrias-Solano, Beatriz Alemón and Joel C. Huegel
Appl. Sci. 2022, 12(9), 4170; https://doi.org/10.3390/app12094170 - 21 Apr 2022
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Abstract
This work describes the development of a controlled cabin for capturing and analyzing thermal images. The motivation of such a device is to aid in the thermal image acquisition process within a confined space. The thermograms generated provide helpful information for analyzing the [...] Read more.
This work describes the development of a controlled cabin for capturing and analyzing thermal images. The motivation of such a device is to aid in the thermal image acquisition process within a confined space. The thermograms generated provide helpful information for analyzing the residual human limb in subjects with transtibial amputation. Such a study proposes a non-intrusive method to study the thermal activity on the amputee residual limb and seek a correlation to the quality of the socket. The proposed cabin ensures the repeatability of the thermograms acquisition process and provides an isolated workspace, thus improving the quality of the samples. The methodology consists of the design of the mechanical elements and parts of the system on computer-aided design software, the electronic instrumentation, a graphic user interface, and the control algorithm based on a barrier Lyapunov function to solve the trajectory tracking for the camera movements, and numerical simulations to illustrate the functionality and the manufacture of a prototype. The results obtained by implementing the control design on the automated cabin reveal that the thermal image acquisition process is completed following the desired trajectory with a mean squared tracking error of 0.0052. In addition, an example of the thermal images of two subjects and the results processing this class of pictures using the designed interface is shown. Full article
(This article belongs to the Special Issue Automatic Control and Robotics in Biomedical Engineering)
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Review

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29 pages, 1349 KiB  
Review
Review on BCI Virtual Rehabilitation and Remote Technology Based on EEG for Assistive Devices
by Alicia Guadalupe Lazcano-Herrera, Rita Q. Fuentes-Aguilar, Isaac Chairez, Luz María Alonso-Valerdi, Miguel Gonzalez-Mendoza and Mariel Alfaro-Ponce
Appl. Sci. 2022, 12(23), 12253; https://doi.org/10.3390/app122312253 - 30 Nov 2022
Cited by 4 | Viewed by 3101
Abstract
Virtual reality has been widely used in various industries, such as entertainment, communication, and healthcare, to mention a few. In the health industry, in combination with the brain–computer interfaces (BCIs), virtual reality could produce rehabilitation measures that may contribute novel strategies such as [...] Read more.
Virtual reality has been widely used in various industries, such as entertainment, communication, and healthcare, to mention a few. In the health industry, in combination with the brain–computer interfaces (BCIs), virtual reality could produce rehabilitation measures that may contribute novel strategies such as remote rehabilitation or telerehabilitation. The design and development of BCIs integrate different processes, including biosignals acquisition and processing, feature extraction and selection, classification of signals, and application of the technology to patients under rehabilitation treatments. This manuscript presents a literature review of the papers focused on the implementation of BCI and assistive technologies for remote rehabilitation based on virtual reality implementation. The purpose of this comprehensive review is to identify those studies that take advantage of virtual reality in combination with a biomedical technology to improve the performances of diverse rehabilitation processes. Various revisited studies provided a complete system for remote rehabilitation. These findings could lead to applying these models in diverse rehabilitation tasks. Full article
(This article belongs to the Special Issue Automatic Control and Robotics in Biomedical Engineering)
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