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Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
189 related items for PubMed ID: 22609119
1. Predicting energy expenditure of manual wheelchair users with spinal cord injury using a multisensor-based activity monitor. Hiremath SV, Ding D, Farringdon J, Cooper RA. Arch Phys Med Rehabil; 2012 Nov; 93(11):1937-43. PubMed ID: 22609119 [Abstract] [Full Text] [Related]
3. Estimation of Energy Expenditure for Wheelchair Users Using a Physical Activity Monitoring System. Hiremath SV, Intille SS, Kelleher A, Cooper RA, Ding D. Arch Phys Med Rehabil; 2016 Jul; 97(7):1146-1153.e1. PubMed ID: 26976800 [Abstract] [Full Text] [Related]
5. 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 Jul; 2011():7348-51. PubMed ID: 22256036 [Abstract] [Full Text] [Related]
9. Preliminary study for the assessment of physical activity using a triaxial accelerometer with a gyro sensor on the upper limbs of subjects with paraplegia driving a wheelchair on a treadmill. Kiuchi K, Inayama T, Muraoka Y, Ikemoto S, Uemura O, Mizuno K. Spinal Cord; 2014 Jul; 52(7):556-63. PubMed ID: 24819509 [Abstract] [Full Text] [Related]
10. Accurate prediction of energy expenditure using a shoe-based activity monitor. Sazonova N, Browning RC, Sazonov E. Med Sci Sports Exerc; 2011 Jul; 43(7):1312-21. PubMed ID: 21131868 [Abstract] [Full Text] [Related]
12. Energy cost of propulsion in standard and ultralight wheelchairs in people with spinal cord injuries. Beekman CE, Miller-Porter L, Schoneberger M. Phys Ther; 1999 Feb; 79(2):146-58. PubMed ID: 10029055 [Abstract] [Full Text] [Related]