Respiration Calorimetry Research Articles

Estimation of values of energy expenditure rate from observed values of heart rate.

Different bases upon which linear regression equations can be constructed for estimating values of energy expenditure rate from observed values of heart rate are examined. Approximately 100 different regression equations corresponding to different bases were developed from 510 observations made of 11 different tasks. The regression equations constructed on the various bases are compared with one another and with respiratory calorimetry in terms of the experimental error which each introduces into the estimation of energy expenditure. The results suggest that for certain kinds of investigations the regression method can be substituted fruitfully for respiratory calorimetry.

Indices of Heart Rate as Substitutes For Respiratory Calorimetry

Abstract The most promising potential substitutes for respiratory calorimetry are regression equations that relate caloric expenditure to heart rate. This study evaluates multiple regression equations, employing seven indices derived from the time pathway of the heart rate, as a means of increasing the precision of the heart rate method. Regression equations are based on the aggregation of different tasks and/or subjects as well as on the single task and single subject. The multiple regression equations are compared with simple regression equations and with respiratory calorimetry in terms of the errors of estimation that each introduces into the measurement of caloric expenditure. The results show that multiple regression equations based on a single subject and single task are as precise as respiratory calorimetry.

Satisfactory Substitute for Soda Lime in Respiration Calorimetry

Satisfactory Substitute for Soda Lime in Respiration Calorimetry

Satisfactory Substitute for Soda Lime in Respiration Calorimetry

Satisfactory Substitute for Soda Lime in Respiration Calorimetry