These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
24. Accuracy of a portable multisensor body monitor for predicting resting energy expenditure in older people: a comparison with indirect calorimetry. Heiermann S, Khalaj Hedayati K, Müller MJ, Dittmar M. Gerontology; 2011; 57(5):473-9. PubMed ID: 21196692 [Abstract] [Full Text] [Related]
26. Validation of the SenseWear mini armband in children during semi-structure activity settings. Lee JM, Kim Y, Bai Y, Gaesser GA, Welk GJ. J Sci Med Sport; 2016 Jan; 19(1):41-5. PubMed ID: 25459233 [Abstract] [Full Text] [Related]
31. Poor agreement between a portable armband and indirect calorimetry in the assessment of resting energy expenditure. Bertoli S, Posata A, Battezzati A, Spadafranca A, Testolin G, Bedogni G. Clin Nutr; 2008 Apr; 27(2):307-10. PubMed ID: 18276043 [Abstract] [Full Text] [Related]
33. Impact of EPOC adjustment on estimation of energy expenditure using activity monitors. Pribyslavska V, Caputo JL, Coons JM, Barry VW. J Med Eng Technol; 2018 May; 42(4):265-273. PubMed ID: 29911930 [Abstract] [Full Text] [Related]
34. Energy Expenditure Prediction Using Raw Accelerometer Data in Simulated Free Living. Montoye AH, Mudd LM, Biswas S, Pfeiffer KA. Med Sci Sports Exerc; 2015 Aug; 47(8):1735-46. PubMed ID: 25494392 [Abstract] [Full Text] [Related]
35. Validation of Accelerometer Prediction Equations in Children with Chronic Disease. Stephens S, Takken T, Esliger DW, Pullenayegum E, Beyene J, Tremblay M, Schneiderman J, Biggar D, Longmuir P, McCrindle B, Abad A, Ignas D, Van Der Net J, Feldman B. Pediatr Exerc Sci; 2016 Feb; 28(1):117-32. PubMed ID: 26182189 [Abstract] [Full Text] [Related]
36. Energy expenditure estimation during normal ambulation using triaxial accelerometry and barometric pressure. Wang J, Redmond SJ, Voleno M, Narayanan MR, Wang N, Cerutti S, Lovell NH. Physiol Meas; 2012 Nov; 33(11):1811-30. PubMed ID: 23110944 [Abstract] [Full Text] [Related]
37. A smartphone-driven methodology for estimating physical activities and energy expenditure in free living conditions. Guidoux R, Duclos M, Fleury G, Lacomme P, Lamaudière N, Manenq PH, Paris L, Ren L, Rousset S. J Biomed Inform; 2014 Dec; 52():271-8. PubMed ID: 25048352 [Abstract] [Full Text] [Related]
38. Validity of a multi-sensor armband in estimating rest and exercise energy expenditure. Fruin ML, Rankin JW. Med Sci Sports Exerc; 2004 Jun; 36(6):1063-9. PubMed ID: 15179178 [Abstract] [Full Text] [Related]
39. Is the SenseWear Armband accurate enough to quantify and estimate energy expenditure in healthy adults? Santos-Lozano A, Hernández-Vicente A, Pérez-Isaac R, Santín-Medeiros F, Cristi-Montero C, Casajús JA, Garatachea N. Ann Transl Med; 2017 Mar; 5(5):97. PubMed ID: 28361062 [Abstract] [Full Text] [Related]
40. Energy expenditure during daily activities as measured by two motion sensors in patients with COPD. Cavalheri V, Donária L, Ferreira T, Finatti M, Camillo CA, Cipulo Ramos EM, Pitta F. Respir Med; 2011 Jun; 105(6):922-9. PubMed ID: 21276720 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]