Search results for "Anthropometric data"

showing 4 items of 4 documents

Influence of fat mass for the VO2max and ventilatory thresholds in young athletes of endurance sport specialties

2016

[Resumen] El objetivo del estudio es analizar la influencia de la masa grasa total y su % respecto al peso corporal total, así como la masa grasa regionalizada (Σ pliegues tronco, Σ pliegues abdomen, cociente TS/TI, phantom (Ph) de los pliegues) y su % respecto a la masa grasa total, en relación al VO2max y los Umbrales Ventilatorios (VT1 y VT2) en jóvenes deportistas en función de su especialidad deportiva y grupo de edad. La muestra está compuesta por 400 deportistas de ambos sexos del Centro de Tecnificación de Cheste (Valencia) clasificados en 3 grupos de edad: 0,05) entre atletismo y natación. Para el caso de los grupos de edad se han encontrado diferencias significativas (p0,05) entre…

Gynecologymedicine.medical_specialtyAnthropometric dataFat massEspecialidad030209 endocrinology & metabolismTotal bodyAnthropometryTrunkFat massSurgeryMasa grasa03 medical and health sciences0302 clinical medicineGeographyAgeAge groupsSpecialtymedicineConsumo máximo de oxígenoMaximum oxygen consumptionEdadAnalysis of varianceTreadmill
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Influencia de la masa muscular en el VO2max en atletismo, triatlón y natación

2019

El objetivo del estudio es conocer cómo influye la masa muscular de la extremidad inferior y superior en el volumen de oxigeno máximo por kilogramo de masa muscular (VO2max/Kgmus/min) en jóvenes deportistas en función de su especialidad deportiva y grupo de edad. La muestra está compuesta por 400 deportistas de ambos sexos del Centro de Tecnificación de Cheste (Valencia) clasificados en 3 grupos de edad: <12-13, 14-16 y 17-20 años, y de especialidades deportivas de resistencia. Los datos fisiológicos se han obtenido de un test ergoespirométrico incremental en rampa (protocolo Wasserman) y los datos antropométricos del protocolo ISAK. Los resultados derivados del Análisis de Varianza (ANO…

medicine.medical_specialtybiologyAnthropometric dataAthletesbusiness.industryAnthropometrybiology.organism_classificationMuscle massAge groupsPhysical therapyMedicineAnalysis of variancebusinessTrack and field athleticsEducación Física y Deporte
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Anthropometry: An R Package for Analysis of Anthropometric Data

2017

The development of powerful new 3D scanning techniques has enabled the generation of large up-to-date anthropometric databases which provide highly valued data to improve the ergonomic design of products adapted to the user population. As a consequence, Ergonomics and Anthropometry are two increasingly quantitative fields, so advanced statistical methodologies and modern software tools are required to get the maximum benefit from anthropometric data. This paper presents a new R package, called Anthropometry, which is available on the Comprehensive R Archive Network. It brings together some statistical methodologies concerning clustering, statistical shape analysis, statistical archetypal an…

Statistics and ProbabilityComputer sciencePopulationstatistical shape analysis02 engineering and technologycomputer.software_genre01 natural sciences010104 statistics & probabilitySoftware0202 electrical engineering electronic engineering information engineeringR; anthropometric data; clustering; statistical shape analysis; archetypal analysis; data depth0101 mathematicsarchetypal analysisCluster analysiseducationlcsh:Statisticslcsh:HA1-4737education.field_of_studyAnthropometric databusiness.industryStatistical shape analysisRHuman factors and ergonomicsAnthropometryanthropometric dataVignette020201 artificial intelligence & image processingData miningStatistics Probability and Uncertaintydata depthbusinesscomputerSoftwareclusteringJournal of Statistical Software
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Apparel sizing using trimmed PAM and OWA operators

2012

This paper is concerned with apparel sizing system design. One of the most important issues in the apparel development process is to define a sizing system that provides a good fit to the majority of the population. A sizing system classifies a specific population into homogeneous subgroups based on some key body dimensions. Standard sizing systems range linearly from very small to very large. However, anthropometric measures do not grow linearly with size, so they can not accommodate all body types. It is important to determine each class in the sizing system based on a real prototype that is as representative as possible of each class. In this paper we propose a methodology to develop an …

Mathematical optimizationeducation.field_of_studyAnthropometric dataTrimmed k-medoidsComputer scienceProcess (engineering)PopulationGeneral EngineeringClass (biology)SizingComputer Science ApplicationsRange (mathematics)Artificial IntelligenceKey (cryptography)Sizing systemsSystems designOWA operatorsCluster analysiseducationSimulation
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