Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Vähä-Ypyä, H; Bretterhofer, J; Husu, P; Windhaber, J; Vasankari, T; Titze, S; Sievänen, H.
Performance of Different Accelerometry-Based Metrics to Estimate Oxygen Consumption during Track and Treadmill Locomotion over a Wide Intensity Range.
Sensors (Basel). 2023; 23(11): Doi: 10.3390/s23115073 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Co-Autor*innen der Med Uni Graz
Windhaber Jana Maria
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
Accelerometer data can be used to estimate incident oxygen consumption (VO2) during physical activity. Relationships between the accelerometer metrics and VO2 are typically determined using specific walking or running protocols on a track or treadmill. In this study, we compared the predictive performance of three different metrics based on the mean amplitude deviation (MAD) of the raw three-dimensional acceleration signal during maximal tests performed on a track or treadmill. A total of 53 healthy adult volunteers participated in the study, 29 performed the track test and 24 the treadmill test. During the tests, the data were collected using hip-worn triaxial accelerometers and metabolic gas analyzers. Data from both tests were pooled for primary statistical analysis. For typical walking speeds at VO2 less than 25 mL/kg/min, accelerometer metrics accounted for 71-86% of the variation in VO2. For typical running speeds starting from VO2 of 25 mL/kg/min up to over 60 mL/kg/min, 32-69% of the variation in VO2 could be explained, while the test type had an independent effect on the results, except for the conventional MAD metrics. The MAD metric is the best predictor of VO2 during walking, but the poorest during running. Depending on the intensity of locomotion, the choice of proper accelerometer metrics and test type may affect the validity of the prediction of incident VO2.
Find related publications in this database (using NLM MeSH Indexing)
Adult - administration & dosage
Humans - administration & dosage
Exercise Test - administration & dosage
Benchmarking - administration & dosage
Locomotion - administration & dosage
Oxygen Consumption - administration & dosage
Walking - administration & dosage
Accelerometry - administration & dosage
Energy Metabolism - administration & dosage

Find related publications in this database (Keywords)
accelerometer
adults
energy consumption
estimation
intensity
measurement
physical activity
running
walking
© Med Uni Graz • Impressum