Novel Accelerometer Algorithm Validation Trial Opens: Improving Energy Expenditure Assessment in Movement Disorders — What Clinicians Need to Know

References

1. 1.Bassett Jr, D. R., Rowlands, A., & Trost, S. G. (2012). Calibration and validation of wearable monitors. Medicine & Science in Sports & Exercise, 44(1), S32-S38. https://doi.org/10.1249/MSS.0b013e318258cb36
2. 2.Crouter, S. E., Clowers, K. G., & Bassett, D. R. (2006). A novel method for using accelerometer data to predict energy expenditure. Journal of Applied Physiology, 100(4), 1324-1331. https://doi.org/10.1152/japplphysiol.00818.2005
3. 3.Speakman, J. R. (1997). Doubly labelled water: theory and practice. Chapman & Hall. https://doi.org/10.1007/978-94-009-1402-1
4. 4.Speelman, A. D., van de Warrenburg, B. P., van Nimwegen, M., Petzinger, G. M., Munneke, M., & Bloem, B. R. (2011). How might physical activity benefit patients with Parkinson disease? Nature Reviews Neurology, 7(9), 478-484. https://doi.org/10.1038/nrneurol.2011.107
5. 5.Storm, F. A., Heller, B. W., & Mazzà, C. (2015). Step detection and activity recognition accuracy of seven physical activity monitors. PLoS One, 10(3), e0118723. https://doi.org/10.1371/journal.pone.0118723
6. 6.University of Wisconsin, Milwaukee. (2024). Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water. ClinicalTrials.gov. NCT05736302. https://clinicaltrials.gov/study/NCT05736302
7. 7.Van Remoortel, H., Giavedoni, S., Raste, Y., Burtin, C., Louvaris, Z., Gimeno-Santos, E., ... & Troosters, T. (2012). Validity of activity monitors in health and chronic disease: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 9(1), 84. https://doi.org/10.1186/1479-5868-9-84
8. 8.Westerterp, K. R. (2017). Doubly labelled water assessment of energy expenditure: principle, practice, and promise. European Journal of Applied Physiology, 117(7), 1277-1285. https://doi.org/10.1007/s00421-017-3641-x