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Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

Tracmor system for measuring walking energy expenditure.

J Levine¹, E L Melanson, K R Westerterp

¹Endocrine Research Unit, Mayo Clinic, Rochester, MN 55905, USA. levine.james@mayo.edu

European Journal of Clinical Nutrition

|August 30, 2003

Summary

The triaxial accelerometer for movement registration (Tracmor) accurately estimates walking energy expenditure (EE) in free-living individuals. This device, combined with laboratory calibration, provides reliable data for quantifying physical activity.

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Area of Science:

Exercise Physiology
Biomedical Engineering
Physical Activity Measurement

Background:

Walking is a key component of daily physical activity and non-exercise activity thermogenesis.
Accurate quantification of walking energy expenditure (EE) is crucial for understanding free-living energy balance.
The triaxial accelerometer for movement registration (Tracmor) is a validated tool for measuring body displacement.

Purpose of the Study:

To evaluate the Tracmor device for quantifying walking-EE in free-living conditions.
To test the hypothesis that Tracmor output can predict walking-EE measured in a Room Calorimeter.
To develop and validate a regression equation for converting Tracmor data to walking-EE.

Main Methods:

11 healthy subjects underwent a calibration protocol involving treadmill walking at various speeds (0-3 mph) with simultaneous Metabolic Cart measurement of EE.

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A subject-specific regression equation was derived to convert Tracmor output to EE.

Subjects then walked at self-selected 'slow' and 'fast' velocities in a Room Calorimeter while wearing the Tracmor unit, with EE measured by the calorimeter.

Main Results:

The Tracmor/regression equation accurately predicted walking-EE, with values of 6.36+/-1.67 kJ/min (slow) and 11.0+/-2.60 kJ/min (fast).
Room Calorimeter measurements closely matched predictions: 6.43+/-1.85 kJ/min (slow) and 10.9+/-3.03 kJ/min (fast).
High intraclass correlation coefficients (0.93 for slow, 0.82 for fast) indicated strong agreement between predicted and measured EE.

Conclusions:

The Tracmor accelerometer, when calibrated with laboratory measures, provides valuable and applicable data for assessing walking-EE in free-living individuals.
This method offers a practical approach to monitoring physical activity and energy expenditure outside of controlled laboratory settings.
The findings support the use of Tracmor for research and clinical applications involving the quantification of walking activity.