Related Experiment Video
Updated: Feb 12, 2026

Measuring the Switch Cost of Smartphone Use While Walking
Published on: April 30, 2020
Predicting the oxygen cost of walking in hemiparetic stroke patients
M Compagnat1, S Mandigout2, D Chaparro1
1HAVAE EA6310 (Handicap, Aging, Autonomy, Environment), University of Limoges, 87000 Limoges, France; Department of Physical Medicine and Rehabilitation, University Hospital Center of Limoges, 87000 Limoges, France.
Objective:
To verify the relation between spontaneous walking speed (Sfree) and oxygen cost of walking at Sfree (Cwfree) in post-stroke hemiparetic patients and to test the validity of a prediction model to estimate Cwfree based on Sfree.
Design:
We included 26 participants (mean age 65.1 years [SD 15.7]) with mild to moderate disability after stroke who walked at Sfree using mobility aids if necessary for 6min. The Cwfree was measured at a stabilized metabolic rate by indirect calorimetry with the Metamax 3B spiroergometry device. The relation between Sfree and Cwfree was analyzed by the correlation coefficient (r) and coefficient of determination (R2). The Cwfree prediction model was developed from a regression equation, then tested on a second population of 29 patients (mean age 62.1 years [SD 13.4]) with the same inclusion and exclusion criteria.
Results:
For the 26 participants, the Sfree and Cwfree were highly correlated (r=-0.94 and R2=0.97), which allowed for formulating a regression equation and developing the Cwfree prediction model based on Sfree. The prediction model tests yielded accurate results (mean bias -0.02mL.kg-1.m-1; 95% limits of agreement -0.31 to 0.26mL.kg-1.m-1). The relation between Cwfree estimated by the model and measured by Metamax was high (R2=0.98).
Conclusion:
Cwfree was strongly correlated with Sfree, which allowed for the development of a valid Cwfree prediction model. A practitioner could estimate the energy expenditure of walking for a patient without using an indirect calorimeter.
Related Concept Videos
Predicting Molecular Geometry
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...
Oxygen Transport in the Blood
Oxygen Delivering System II: Venturi Mask and Transtracheal Oxygen
Venturi Mask
The Venturi mask, named after the Venturi effect, is designed to deliver precise oxygen concentrations. It consists of a large tube with an oxygen inlet that narrows down, causing a pressure drop that pulls air in through adjustable side ports. The mask is a lightweight,...

