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Understanding the interplay between body composition and physiological responses under different exercise intensities is critical for optimizing athletic performance and health assessment. Utilizing advanced wearable (COSMED K5) and cloud-based technologies, this study aimed to investigate the relationship between selected morphological variables and oxygen consumption (VO₂) and metabolic equivalents (METs) across graded intensities of VO₂-max using modern technologies. This study aimed to elucidate the relationship among selected morphological variables, Metabolic Equivalents (METs), and Volume of Oxygen consumption (VO2) across graded intensities of VO2-max utilizing advanced technological modalities. A descriptive research design was implemented, using a purposive sample of 17 physically active male university students. Morphological parameters, including muscle mass, total body water (TBW), and basal metabolic rate (BMR), were measured via the TANITA BC-418 MA body composition analyzer. Functional attractive metrics, including VO₂, METs, ventilation (VE), and respiratory exchange ratio (RER), are evaluated using the COSMED K5 wearable metabolic system during the test of a graded treadmill under the exercise shared protocol at diverse percentages of 25%, 50%, 75%, and 100% of VO2-max. Experimental results demonstrated a strong positive correlation between VO₂ and lean mass indices (TOTAL-PMM, TR-PMM, L-PMM, A-PMM), as well as BMR and TBW, at all tested intensities. This study confirms that oxygen consumption (VO₂) is strongly correlated with lean body mass, TBW, and BMR at all intensities from 25% to 100% of VO₂-max.

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Leveraging Wearable and Cloud-Based Technologies for Enhancing Integrated Physiological Performance Test

  • 会议论文

  • 发表日期：

    2026年

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  • Abdullah Hikmat Hachim Hachim,
  • Fadi Mohammed Sheyt Younis,
  • Mohammed Twfeq Alhusaen Aga

摘要

Understanding the interplay between body composition and physiological responses under different exercise intensities is critical for optimizing athletic performance and health assessment. Utilizing advanced wearable (COSMED K5) and cloud-based technologies, this study aimed to investigate the relationship between selected morphological variables and oxygen consumption (VO₂) and metabolic equivalents (METs) across graded intensities of VO₂-max using modern technologies. This study aimed to elucidate the relationship among selected morphological variables, Metabolic Equivalents (METs), and Volume of Oxygen consumption (VO2) across graded intensities of VO2-max utilizing advanced technological modalities. A descriptive research design was implemented, using a purposive sample of 17 physically active male university students. Morphological parameters, including muscle mass, total body water (TBW), and basal metabolic rate (BMR), were measured via the TANITA BC-418 MA body composition analyzer. Functional attractive metrics, including VO₂, METs, ventilation (VE), and respiratory exchange ratio (RER), are evaluated using the COSMED K5 wearable metabolic system during the test of a graded treadmill under the exercise shared protocol at diverse percentages of 25%, 50%, 75%, and 100% of VO2-max. Experimental results demonstrated a strong positive correlation between VO₂ and lean mass indices (TOTAL-PMM, TR-PMM, L-PMM, A-PMM), as well as BMR and TBW, at all tested intensities. This study confirms that oxygen consumption (VO₂) is strongly correlated with lean body mass, TBW, and BMR at all intensities from 25% to 100% of VO₂-max.