Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión
The speech-language evaluation of breathing is a tool important for the health professional because it allows to know the difficulties of people when breathing. This protocol is used manually with the help of a few markers, and not allows characterization of body posture, measuring to distances, ang...
| Main Authors: | , , |
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| Format: | Online |
| Language: | spa |
| Published: |
Universidad Pedagógica y Tecnológica de Colombia
2017
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| Online Access: | https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/7407 |
| _version_ | 1801705995754274816 |
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| author | Marino-Vera, Héctor Mendoza, Luis Enrique Gualdrón-Guerrero, Oscar Eduardo |
| author_facet | Marino-Vera, Héctor Mendoza, Luis Enrique Gualdrón-Guerrero, Oscar Eduardo |
| author_sort | Marino-Vera, Héctor |
| collection | OJS |
| description | The speech-language evaluation of breathing is a tool important for the health professional because it allows to know the difficulties of people when breathing. This protocol is used manually with the help of a few markers, and not allows characterization of body posture, measuring to distances, angles and positions. This article presents a novel alternative in the development of a system for automatic measurements of anthropometric variables, which intervene in the phonoaudiological assessment of respiration, using artificial vision. Variables were taken on the 4 planes: frontal, posterior, left sagittal and right sagittal; Also, 32 markers were included to obtain 35 anthropometric variables. The operating principle of the automatic algorithm for the recognition of anthropometric variables was tested with two patients, achieving an overall system error rate of 2.81%. It is important to emphasize that this development will allow the specialist to rely on a digital tool to achieve more precise measurements, improving accuracy in measurements and diagnosis. |
| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-7407 |
| institution | Revista de Investigación, Desarrollo e Innovación (RIDI) |
| language | spa |
| publishDate | 2017 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-74072022-06-15T15:39:12Z Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión Medición automática de variables antropométricas para la evaluación de la respiración usando visión artificial Marino-Vera, Héctor Mendoza, Luis Enrique Gualdrón-Guerrero, Oscar Eduardo phonoaudiological evaluation of breathing body posture anthropometric variables artificial vision. evaluación fonoaudiológica de la respiración postura corporal variables antropométricas visión artificial. The speech-language evaluation of breathing is a tool important for the health professional because it allows to know the difficulties of people when breathing. This protocol is used manually with the help of a few markers, and not allows characterization of body posture, measuring to distances, angles and positions. This article presents a novel alternative in the development of a system for automatic measurements of anthropometric variables, which intervene in the phonoaudiological assessment of respiration, using artificial vision. Variables were taken on the 4 planes: frontal, posterior, left sagittal and right sagittal; Also, 32 markers were included to obtain 35 anthropometric variables. The operating principle of the automatic algorithm for the recognition of anthropometric variables was tested with two patients, achieving an overall system error rate of 2.81%. It is important to emphasize that this development will allow the specialist to rely on a digital tool to achieve more precise measurements, improving accuracy in measurements and diagnosis. La evaluación fonoaudiológica de la respiración es una herramienta indispensable para el profesional de la salud ya que permite conocer qué dificultades tiene la persona al respirar. Este protocolo en la actualidad se realiza de manera manual con ayuda de pocos marcadores, los cuales no permiten caracterizar la postura corporal, relacionada con distancias, ángulos y posiciones de manera general y segura. Este artículo presenta una novedosa alternativa en el desarrollo de un sistema para mediciones automáticas de variables antropométricas, que intervienen en la evaluación fonoaudiológica de la respiración, usando visión artificial. Se tomaron variables en los 4 planos: frontal, posterior, sagital izquierdo y sagital derecho; igualmente, se incluyeron 32 marcadores para obtener 35 variables antropométricas. El principio de funcionamiento del algoritmo automático para el reconocimiento de variables antropométricas, se probó con dos pacientes, logrando un porcentaje de error general del sistema de 2,81%. Es importante resaltar que este desarrollo permitirá al especialista apoyarse en una herramienta digital para lograr medidas más precisas, mejorando la exactitud y la precisión en el diagnóstico. Universidad Pedagógica y Tecnológica de Colombia 2017-12-06 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf application/xml https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/7407 10.19053/20278306.v8.n1.2017.7407 Revista de Investigación, Desarrollo e Innovación; Vol. 8 No. 1 (2017): Julio-Diciembre; 161-169 Revista de Investigación, Desarrollo e Innovación; Vol. 8 Núm. 1 (2017): Julio-Diciembre; 161-169 2389-9417 2027-8306 spa https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/7407/5840 https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/7407/9561 Derechos de autor 2017 REVISTA DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN |
| spellingShingle | phonoaudiological evaluation of breathing body posture anthropometric variables artificial vision. evaluación fonoaudiológica de la respiración postura corporal variables antropométricas visión artificial. Marino-Vera, Héctor Mendoza, Luis Enrique Gualdrón-Guerrero, Oscar Eduardo Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión |
| title | Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión |
| title_alt | Medición automática de variables antropométricas para la evaluación de la respiración usando visión artificial |
| title_full | Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión |
| title_fullStr | Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión |
| title_full_unstemmed | Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión |
| title_short | Automatic measurement of anthropometric variables for the evaluation of respiration using artificial visión |
| title_sort | automatic measurement of anthropometric variables for the evaluation of respiration using artificial vision |
| topic | phonoaudiological evaluation of breathing body posture anthropometric variables artificial vision. evaluación fonoaudiológica de la respiración postura corporal variables antropométricas visión artificial. |
| topic_facet | phonoaudiological evaluation of breathing body posture anthropometric variables artificial vision. evaluación fonoaudiológica de la respiración postura corporal variables antropométricas visión artificial. |
| url | https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/7407 |
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