Estimating intra- and inter-subject oxygen consumption in outdoor human gait using multiple neural network approaches

• Published in: PloS one Vol. 19; no. 9; p. e0303317
• Main Authors: Müller, Philipp, Pham-Dinh, Khoa, Trinh, Huy, Rauhameri, Anton, Cronin, Neil J.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 27.09.2024
• Subjects: Accuracy; Adult; Analyzers; Athletes; Body mass index; Configuration management; Consumption; Data exchange; Estimates; Estimation; Estimation errors; Female; Females; Gait - physiology; Global positioning systems; GPS; Health aspects; Heart rate; Heart Rate - physiology; Humans; Male; Measurement; Navigation systems; Neural networks; Neural Networks, Computer; Oxygen; Oxygen consumption; Oxygen Consumption - physiology; Performance prediction; Portable equipment; Respiration; Running; Running - physiology; Velocity; Walking; Walking - physiology; Young Adult; Finland

Oxygen consumption ( V ˙ O 2 ) is an important measure for exercise test, such as walking and running, that can be measured outdoors using portable spirometers or metabolic analyzers. However, these devices are not feasible for regular use by consumers as they intervene with the user’s physical inte...