RT Journal Article
T1 The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors.
A1 Martín-Martín, Jaime
A1 Wang, Li
A1 De-Torres, Irene
A1 Escriche-Escuder, Adrian
A1 González-Sánchez, Manuel
A1 Muro-Culebras, Antonio
A1 Roldán-Jiménez, Cristina
A1 Ruiz-Muñoz, María
A1 Mayoral-Cleries, Fermín
A1 Biró, Attila
A1 Tang, Wen
A1 Nikolova, Borjanka
A1 Salvatore, Alfredo
A1 Cuesta-Vargas, Antonio I
K1 assessment
K1 energy expenditure
K1 equations
K1 inertial sensors
K1 open source R
K1 run
K1 validation
K1 walk
AB Through this study, we developed and validated a system for energy expenditure calculation, which only requires low-cost inertial sensors and open source R software. Five healthy subjects ran at ten different speeds while their kinematic variables were recorded on the thigh and wrist. Two ActiGraph wireless inertial sensors and a low-cost Bluetooth-based inertial sensor (Lis2DH12), assembled by SensorID, were used. Ten energy expenditure equations were automatically calculated in a developed open source R software (our own creation). A correlation analysis was used to compare the results of the energy expenditure equations. A high interclass correlation coefficient of estimated energy expenditure on the thigh and wrist was observed with an Actigraph and Sensor ID accelerometer; the corrected Freedson equation showed the highest values, and the Santos-Lozano vector magnitude equation and Sasaki equation demonstrated the lowest one. Energy expenditure was compared between the wrist and thigh and showed low correlation values. Despite the positive results obtained, it was necessary to design specific equations for the estimation of energy expenditure measured with inertial sensors on the thigh. The use of the same formula equation in two different placements did not report a positive interclass correlation coefficient.
YR 2022
FD 2022-03-26
LK http://hdl.handle.net/10668/21570
UL http://hdl.handle.net/10668/21570
LA en
DS RISalud
RD Apr 6, 2025