Computer vision: applications in Biomedical Engineering

The focus of this study is the presentation of two systems, which use computer vision techniques. In the first, the authors applied these techniques to the acquisition and processing system of ovitrap images. However, the second system is a physiotherapeutic evaluation platform for dynamic monitoring of body balance. By using a depth image of the patient (based on a 3D camera), the algorithm can predict the exact positions of the joints of an individual, without temporal information. The two studies described presented showed promising results, which demonstrated that computer vision techniques are of great importance. The experiments with the Aedes Aegypti mosquito egg has allowed accurate detection and counting of them. The experiments with body balance analysis has allowed the tracking of the center of mass of an individual during physiotherapeutic exercises. Software has detected the movement of the center of mass, satisfying a physiotherapeutic need. The techniques developed for computer vision have many possible applications in different areas and different populations, not only in the areas presented in this study.

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Publication Details

Journal
Caderno Pedagógico
Published
2024-12-04
DOI
https://doi.org/10.54033/cadpedv21n13-056
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Computer vision: applications in Biomedical Engineering

A. V. M. Inocêncio, Gilberto Alves, N. A. Cunha, M. B. C. Silva et al.
Caderno Pedagógico
Biomedical and Engineering Education
article

Computer vision: applications in Biomedical Engineering

A. V. M. Inocêncio, Gilberto Alves, N. A. Cunha, M. B. C. Silva, M. A. B. Rodrigues, Erico Leite Cavalcante, Marilú Gomes Netto Monte da Silva
article en

Abstract

The focus of this study is the presentation of two systems, which use computer vision techniques. In the first, the authors applied these techniques to the acquisition and processing system of ovitrap images. However, the second system is a physiotherapeutic evaluation platform for dynamic monitoring of body balance. By using a depth image of the patient (based on a 3D camera), the algorithm can predict the exact positions of the joints of an individual, without temporal information. The two studies described presented showed promising results, which demonstrated that computer vision techniques are of great importance. The experiments with the Aedes Aegypti mosquito egg has allowed accurate detection and counting of them. The experiments with body balance analysis has allowed the tracking of the center of mass of an individual during physiotherapeutic exercises. Software has detected the movement of the center of mass, satisfying a physiotherapeutic need. The techniques developed for computer vision have many possible applications in different areas and different populations, not only in the areas presented in this study.

Caderno PedagógicoVol. 21(13)
Openalex Percentile: Top 80%
Biomedical and Engineering Education
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Computer vision: applications in Biomedical Engineering — A. V. M. Inocêncio, Gilberto Alves, et al. · Caderno Pedagógico (2024) | TGRS Research Map | TGRS