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Applied Sciences
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Biomechanical Analysis in Bioengineering: New Trends and Perspectives
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Biomechanical Analysis in Bioengineering: New Trends and Perspectives

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

Deadline for manuscript submissions: 30 June 2025 | Viewed by 738

Special Issue Editors

Dr. Cristina Curreli

E-Mail Website
Guest Editor
Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, 0039 051 Bologna, Italy
Interests: biotribology; biomechanics; numerical modelling; in silico medicine
Special Issues, Collections and Topics in MDPI journals
Dr. Pierpaolo Palumbo

E-Mail Website
Guest Editor
Department of Electrical, Electronic, and Information Engineering 'Guglielmo Marconi', University of Bologna, 240136 Bologna, BO, Italy
Interests: bioengineering; data analysis; preventive medicine; ageing; falls; prostheses; personalised medicine; predictive models
Dr. Antonino Amedeo La Mattina

E-Mail Website
Guest Editor
Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, 0039 051 Bologna, Italy
Interests: patient-specific modelling; HPC; computational biomechanics; data analysis

Special Issue Information

Dear Colleagues,

The development of biomechanical analyses will continue to advance our understanding of different mechanical aspects of biological systems. Advanced experimental and computational biomechanics techniques are expected to play a crucial role in personalised medicine, prevention, monitoring, diagnosis, treatment, rehabilitation, and assistive devices.
This Special Issue aims to explore the latest trends in and perspectives on biomechanical analysis in diverse areas within the field of biomechanics. We invite submissions of original research articles, reviews, perspectives, and methodological studies that address emerging biomechanical technologies.
Topics of interest include, but are not limited to, the following:

  • Computational biomechanics;
  • Experimental biomechanics;
  • Advanced imaging techniques for biomechanical analyses;
  • Biomaterials and implants;
  • Cardiovascular and respiratory biomechanics;
  • Orthopaedic biomechanics;
  • Sports biomechanics;
  • Human movement and ergonomics;
  • Multidisciplinary approaches for biomechanics;
  • Physics-based and data-driven biomechanical models;
  • High-performance computing for biomechanical analyses.

Dr. Cristina Curreli
Dr. Pierpaolo Palumbo
Dr. Antonino Amedeo La Mattina
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.

Keywords

  • bioengineering
  • data analysis
  • computational biomechanics
  • experimental biomechanics
  • personalised medicine

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Published Papers (1 paper)

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Research

29 pages, 5712 KiB  
Article
Biomechanical Fuzzy Model for Analysing the Ergonomic Risk Level Associated with Upper Limb Movements
by Martha Roselia Contreras-Valenzuela
Appl. Sci. 2025, 15(7), 4012; https://doi.org/10.3390/app15074012 - 5 Apr 2025
Viewed by 267
Abstract
This study proposes a decision support system that uses a fuzzy logic model to assess the risk level associated with repetitive upper limb movements during work tasks, which can lead to musculoskeletal disorders. The model considers three main sets: biomechanics, anthropometrics, and productivity. [...] Read more.
This study proposes a decision support system that uses a fuzzy logic model to assess the risk level associated with repetitive upper limb movements during work tasks, which can lead to musculoskeletal disorders. The model considers three main sets: biomechanics, anthropometrics, and productivity. Standardised parameters were utilised to determine the risk level associated with movement. To validate the findings, a fuzzy model was applied to assess 123 female workers across three automatic high-speed production lines as a case study. The model quantifies the risks using 54 membership equations and incorporates nine linguistic variables organised into three sets: biomechanical: this includes applied force, moment force, and angle of the torso from vertical; anthropometric: this includes workers’ age and height and body mass index; and productivity: this includes working area depth, exposure time, and repetitiveness. The resulting fuzzy model, which is based on fuzzy set theory, utilises only four general fuzzy rules and allows for the evaluation of multiple workers simultaneously, providing a competitive advantage over models that rely on a large number of individual fuzzy rules to assess just one worker. The biomechanical set evaluates applied force and moment force based on productivity factors. Consequently, the behaviour of the group of 123 evaluations changed as the productivity risk value was introduced. For instance, in Test 1, which involves a low-risk task, we observed a biomechanical risk pattern that was solely related to the worker’s anthropometry. In Test 2, which presents a medium risk, the pattern of evaluations shifted, revealing behaviours that were more influenced by both anthropometric and biomechanical characteristics. Finally, in Test 3, the impact of anthropometry and biomechanics was clear in the risk assessment patterns, which aligned closely with the anthropometric. The DSS could help improve policies and work conditions. Full article
(This article belongs to the Special Issue Biomechanical Analysis in Bioengineering: New Trends and Perspectives)
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