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Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
181 related items for PubMed ID: 23999111
21. Neural network for estimating energy expenditure in paraplegics from heart rate. García-Massó X, Serra-Añó P, García-Raffi L, Sánchez-Pérez E, Giner-Pascual M, González LM. Int J Sports Med; 2014 Nov; 35(12):1037-43. PubMed ID: 24886923 [Abstract] [Full Text] [Related]
26. Regression equations for RT3 activity monitors to estimate energy expenditure in manual wheelchair users. Hiremath SV, Ding D. Annu Int Conf IEEE Eng Med Biol Soc; 2011 Nov; 2011():7348-51. PubMed ID: 22256036 [Abstract] [Full Text] [Related]
33. Raw and Count Data Comparability of Hip-Worn ActiGraph GT3X+ and Link Accelerometers. Montoye AHK, Nelson MB, Bock JM, Imboden MT, Kaminsky LA, Mackintosh KA, McNarry MA, Pfeiffer KA. Med Sci Sports Exerc; 2018 May; 50(5):1103-1112. PubMed ID: 29283934 [Abstract] [Full Text] [Related]
34. Physical fitness of paraplegics in full wheelchair marathon racing. Asayama K, Nakamura Y, Ogata H, Hatada K, Okuma H, Deguchi Y. Paraplegia; 1985 Oct; 23(5):277-87. PubMed ID: 4069738 [Abstract] [Full Text] [Related]
37. The effects of experience on the energy cost of wheelchair propulsion. Croft L, Lenton J, Tolfrey K, Goosey-Tolfrey V. Eur J Phys Rehabil Med; 2013 Dec; 49(6):865-73. PubMed ID: 23558701 [Abstract] [Full Text] [Related]
39. Validity of the Actigraph GT3x and influence of the sensor positioning for the assessment of active energy expenditure during four activities of daily living in stroke subjects. Compagnat M, Mandigout S, Chaparro D, Daviet JC, Salle JY. Clin Rehabil; 2018 Dec; 32(12):1696-1704. PubMed ID: 30012036 [Abstract] [Full Text] [Related]