Estimating Oxygen Uptake During Nonsteady-State Activities and Transitions Using Wearable Sensors

In this paper, we present a method to estimate oxygen uptake (VO 2 ) during daily life activities and transitions between them. First, we automatically locate transitions between activities and periods of nonsteady-state VO 2 . Subsequently, we propose and compare activity-specific linear functions...

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Bibliographic Details
Published inIEEE journal of biomedical and health informatics Vol. 20; no. 2; pp. 469 - 475
Main Authors Altini, Marco, Penders, Julien, Amft, Oliver
Format Journal Article
LanguageEnglish
Published United States IEEE 01.03.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Accelerometers
Accelerometry - methods
Adult
Calorimetry
Data models
Energy Expenditure
Energy Metabolism - physiology
Estimating
Estimation
Female
Heart Rate
Households
Humans
Legged locomotion
Logistics
Male
Mathematical models
Monitoring, Ambulatory - methods
Non-Steady-State
Oxygen - metabolism
Oxygen consumption
Oxygen Consumption - physiology
Predictive models
Sensors
Signal Processing, Computer-Assisted
Steady-state
Uptakes
V O2
Walking
Walking - physiology
Accelerometers
VO2
heart rate
nonsteady-state
energy expenditure
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Summary:In this paper, we present a method to estimate oxygen uptake (VO 2 ) during daily life activities and transitions between them. First, we automatically locate transitions between activities and periods of nonsteady-state VO 2 . Subsequently, we propose and compare activity-specific linear functions to model steady-state activities and transition-specific nonlinear functions to model nonsteady-state activities and transitions. We evaluate our approach in study data from 22 participants that wore a combined accelerometer and heart rate sensor while performing a wide range of activities (clustered into lying, sedentary, dynamic/household, walking, biking and running), including many transitions between intensities, thus resulting in nonsteady-state VO 2 . Indirect calorimetry was used in parallel to obtain VO 2 reference. VO 2 estimation error during transitions between sedentary, household and walking activities could be reduced by 16% on average using the proposed approach, compared to state of the art methods.
Bibliography:ObjectType-Article-1
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ISSN:2168-2194
2168-2208
DOI:10.1109/JBHI.2015.2390493