Machine learning and sensor fusion for estimating continuous energy expenditure

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2011, Pages 1613-1620

  Vyas, Nisarg ^a   Farringdon, Jonathan ^a   Andre, David ^a   Stivoric, John ^a  

^a BodyMedia Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS ENERGY; DATA MODELING; ENERGY EXPENDITURE ESTIMATION; MACHINE LEARNING TECHNIQUES; MULTI SENSOR; MULTISENSOR DATA FUSION; PHYSIOLOGICAL MONITORING; PHYSIOLOGICAL PARAMETERS; SENSOR FUSION; WEIGHT LOSS; WEIGHT MANAGEMENT;

ARTIFICIAL INTELLIGENCE; HEALTH CARE; INFORMATION MANAGEMENT; LEARNING SYSTEMS; PATIENT MONITORING; PHYSIOLOGICAL MODELS; PHYSIOLOGY; SENSORS;

SENSOR DATA FUSION;

EID: 80055035824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Ainsworth B. et al. (2000), Compendium of physical activities: an update of activity codes and MET intensities. Medicine & Science in Sports & Exercise 32(9 Suppl):S498-504
2. AI-Ahmad, A., Homer M., Wang P. (2004), Accuracy and Utility of Multi-Sensor Armband ECG Signal Compared With Holter Monitoring. New Arrhythmia Technologies Retreat
3. Barry V., Shuger S., Beets M., Sui X., Wilcox S., Hand G., McClain A., Blair S. (2010), Wearing the SenseWear Armband and Weight Loss in Sedentary Overweight and Obese Adults. American College of Sports & Medicine meeting
4. Berntsen S., Hageberg R., Aandstad A., Mowinckel P., Anderssen S., Carlsen K. and Andersen L. (2010), Validity of physical activity monitors in adults participating in free living activities. British Journal of Sports & Medicine 44:657-664
5. Beighle A., Pangrazi R., Vincent S. (2001), Pedometers, physical activity, and accountability. Journal Of Physical Education, Recreation and Dance;72(9):16-9.
6. Bodymedia Inc.(2011) What is Bodymedia Fit. www.bodymedia.com/Shop/Learn- More/What-is-BodyMediaFIT
7. Calabró, M. A., Lee J., St-Maurice P., Welk G. (2011), Validation of pattern-recognition monitors in children using the doubly labeled water method. Submitted to Medicine & Science in Sports & Exercise
8. Convertino V., Hurst G., Ryan K., Vyas N., Ward K., Rickards C. (2010), Bleeding or Active? Validation of a Machine-Learning Algorithm for Remote Determination of Blood Volume Status, American College of Sports and Medicine, 42(5)-285
9. Crouter S., Schneider P., Karbult K., Bassett D. (2003), Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Medicine & Science in Sports & Exercise;35 (8):1455-60 (Pubitemid 36936169)
10. Freedson P., Miller K. (2000), Objective monitoring of physical activity using motion sensors and heart rate. Research Quarterly for Exercise & Sport. 71 (2 Suppl):S21-9
11. Holdy K. (2004), Monitoring energy metabolism with indirect calorimetry: instruments, interpretation, and clinical application. Nutrition in Clinical Practice 19(5):447-54
12. Jakicic J., Marcus M., Gallagher K., Randall C., Thomas E., Goss F.L., Robertson R.J. (2004), Evaluation of the SenseWear Pro armband to assess the energy expenditure during exercise. Medicine & Science in Sports & Exercise, May 2004;36(5)897-904 (Pubitemid 38596398)
13. Johannsen D.L., Calabro M.A., Stewart J., Franke W., Rood J.C., Welk G.J. (2010), Accuracy of armband monitors for measuring daily energy expenditure in healthy adults. Medicine & Science in Sports & Exercise 42(11):2134-40
14. Lee J., Welk G. (2011), Validity of consumer-based physical activity monitors under free-living conditions Submitted to Journal of Physical Activity and Health
15. Malavolti M., Pietrobelli A., Dugoni M., Poli M., Romagnoli E., DeCristofaro P., Battistini N.C. (2007), A new device for measuring resting energy expenditure (REE) in healthy subjects, Nutrition, Metabolism & Cardiovascular Diseases; 17(5)338-343 (Pubitemid 46880265)
16. Pellegrini C.A. (2010), The Comparison of a Technology-based system and an In-Person Behavioral Weight Loss Intervention in Overweight and Obese Adults. PhD Dissertation, University of Pittsburgh
17. Rollins D., Bhandari N., Kleinedler J., Kotz K., Strohbehn A., Boland L., Murphy M., Andre D., Vyas N., Welk G. and Franke W. (2010), Free-living Inferential Modeling of Blood Glucose Level using only Noninvasive Inputs, Journal of Process Control, Volume 20, Issue 1, pp 95-107
18. Schoeller D., Ravussin E., Schutz Y., Acheson K., Baertschi P., Jequier E. (1986), Energy expenditure by doubly labeled water: validation in humans and proposed calculations. American Journal of Physiology, 250(5 Pt 2):R823-30
19. St-Onge M., Mignault D., Allison D., Lhoret-Rabasa R. (2007), Evaluation of a portable device to measure daily energy expenditure in free-living adults, American Journal of Clinical Nutrition, 85 (742) 9
20. Sui X., Meriwether R., Hand G., Wilcox S., Dowda M., Blair S. (2010), Electronic Feedback in a Diet and Physical Activity-Based Lifestyle Intervention for Weight Loss: Randomized Controlled Trial, American Heart Association Annual Conference
21. Vyas N., Andre D., Rollins D., Stivoric J., Jackson R. (2009), Development of a Personalized Non-invasive Glucose Monitoring System for Free-living Environments. Annual Meeting of Diabetes Technology
22. Welk G. (2002), Physical activity assessments for health-research. Human Kinetics
23. Welk G., McClain J., Eisenmann J., Wickel E. (2007), Field validation of the MTI Actigraph and Bodymedia armband monitor using the IDEEA monitor. Obesity, 15(4)918-928 (Pubitemid 46740967)
24. Wells J. and Fuller N. (1998), Precision and accuracy in a metabolic monitor for indirect calorimetry. European Journal of Clinical Nutrition. 52(7):536-40 (Pubitemid 28330401)
25. Yates J., Cullum M., Pittsley J. (2004), Validation of a portable, indirect calorimeter for the measurement of resting metabolic rate. Medicine & Science in Sports & Exercise. 36(5):S247.