Application of Biomechanical Modeling and Simulation

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Biology".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 976

Special Issue Editor


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Guest Editor
Centro de Investigación en Computación, Instituto Politécnico Nacional, Av. Juan de Dios Bátiz s/n, Nueva Industrial Vallejo, Mexico City 07738, Mexico
Interests: biomechanical analysis; Parkinson's disease; expert systems; intelligent systems for automation; virtual instrumentation; measurement and monitoring systems; harmful health effects of environmental noise; pattern recognition

Special Issue Information

Dear Colleagues,

Biomechanical measurements, modeling, and simulation in the occupational, industrial, sports, and medical fields are relevant topics in scientific research focused on diverse applications. Many works aim at athletic improvement and adult and child rehabilitation with congenital or acquired pathologies. Computer models designed to analyze movement disorders caused by neurodegenerative diseases are widely recognized by the scientific community. Modeling and specific computational models improve the early detection of the disease, the motor examination of the patient's evolution, and medical care. Parkinson's disease affects millions of people worldwide, progressing slowly in most patients, leading to difficulties with speech and facial expression, rigidity, tremors, gait problems, postural instability, bradykinesia, hypophonia, and dysarthria, among others.

Digital signal processing, image processing, statistics, mathematical models, fuzzy inference systems, machine learning, deep learning and automatic control are examples of areas of interest.

Dr. Luis Pastor Sánchez-Fernández
Guest Editor

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Published Papers (1 paper)

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Review

18 pages, 1030 KiB  
Review
Biomechanics of Parkinson’s Disease with Systems Based on Expert Knowledge and Machine Learning: A Scoping Review
by Luis Pastor Sánchez-Fernández
Computation 2024, 12(11), 230; https://doi.org/10.3390/computation12110230 - 17 Nov 2024
Viewed by 555
Abstract
Patients with Parkinson’s disease (PD) can present several biomechanical alterations, such as tremors, rigidity, bradykinesia, postural instability, and gait alterations. The Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) has a good reputation for uniformly evaluating motor and non-motor aspects of PD. However, [...] Read more.
Patients with Parkinson’s disease (PD) can present several biomechanical alterations, such as tremors, rigidity, bradykinesia, postural instability, and gait alterations. The Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) has a good reputation for uniformly evaluating motor and non-motor aspects of PD. However, motor clinical assessment depends on visual observations, which are mostly qualitative, with subtle differences not recognized. Many works have examined evaluations and analyses of these biomechanical alterations. However, there are no reviews on this topic. This paper presents a scoping review of computer models based on expert knowledge and machine learning (ML). The eligibility criteria and sources of evidence are represented by papers in journals indexed in the Journal Citation Report (JCR), and this paper analyzes the data, methods, results, and application opportunities in clinical environments or as support for new research. Finally, we analyze the results’ explainability and the acceptance of such systems as tools to help physicians, both now and in future contributions. Many researchers have addressed PD biomechanics by using explainable artificial intelligence or combining several analysis models to provide explainable and transparent results, considering possible biases and precision and creating trust and security when using the models. Full article
(This article belongs to the Special Issue Application of Biomechanical Modeling and Simulation)
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