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Assistive and Rehabilitation Technologies Based on Intelligent Sensors

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

Deadline for manuscript submissions: 1 December 2024 | Viewed by 83

Special Issue Editors


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Guest Editor
Deparment of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy
Interests: human biomechanics; neuromuscular control and rehabilitation engineering
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
Interests: biomechanics; movement analysis; advanced signal processing; biomechanical modeling and control
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Biomedical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad 10011, Iraq
Interests: feature extraction; machine learning; biomedical signal processing; EEG

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Guest Editor
Department of Industrial, Electronics and Mechanical Engineering, Roma Tre University, 00154 Roma, Italy
Interests: cooperative human-robot interaction; human movement analysis; prosthetic control

Special Issue Information

Dear Colleagues,

The increase in the elderly population and rising prevalence of chronic conditions require advancements in assistive and rehabilitation technologies. Intelligent sensors play a pivotal role in the development of such technologies as they allow the patient to be monitored while offering the possibility of implementing smart control strategies for more fluent human–device interaction. This Special Issue aims to explore how intelligent sensors are being leveraged to create smarter assistive and rehabilitation devices.

The Special Issue welcomes contributions from the academic community in the following areas:

  • Sensor-based technologies for balance maintenance, gait and physical activity assessment.
  • Intelligent prosthetics and active orthotics.
  • Embedded systems for rehabilitation monitoring.
  • Human–computer interfaces and interactions for assistive technologies.
  • Physical-based and data-driven solutions for assistive device prototyping

Dr. Andrea Tigrini
Dr. Alessandro Mengarelli
Dr. Federica Verdini
Dr. Ali Hussein Al-Timemy
Dr. Simone Ranaldi
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. Sensors 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 2600 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

  • human–computer interfaces
  • rehabilitation and assistive technologies
  • prosthesis control, EMG sensors, IMU systems

Published Papers

This special issue is now open for submission.
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