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Items: 1 to 20 of 101

1.

Tri-axial high-resolution acceleration for oxygen uptake estimation: Validation of a multi-sensor device and a novel analysis method.

Weippert M, Stielow J, Kumar M, Kreuzfeld S, Rieger A, Stoll R.

Appl Physiol Nutr Metab. 2013 Mar;38(3):345-51. doi: 10.1139/apnm-2012-0228. Epub 2012 Nov 12.

PMID:
23537029
2.

Calorimetric validation of the Caltrac accelerometer during level walking.

Balogun JA, Martin DA, Clendenin MA.

Phys Ther. 1989 Jun;69(6):501-9.

3.

Estimation of oxygen uptake during fast running using accelerometry and heart rate.

Fudge BW, Wilson J, Easton C, Irwin L, Clark J, Haddow O, Kayser B, Pitsiladis YP.

Med Sci Sports Exerc. 2007 Jan;39(1):192-8.

PMID:
17218902
4.

Validation of Cut-Points for Evaluating the Intensity of Physical Activity with Accelerometry-Based Mean Amplitude Deviation (MAD).

Vähä-Ypyä H, Vasankari T, Husu P, Mänttäri A, Vuorimaa T, Suni J, Sievänen H.

PLoS One. 2015 Aug 20;10(8):e0134813. doi: 10.1371/journal.pone.0134813. eCollection 2015.

5.

Validation of a new closed circuit indirect calorimetry method compared with the open Douglas bag method.

Raurich JM, Ibañez J, Marse P.

Intensive Care Med. 1989;15(4):274-8.

PMID:
2745871
6.

A pocket-sized metabolic analyzer for assessment of resting energy expenditure.

Zhao D, Xian X, Terrera M, Krishnan R, Miller D, Bridgeman D, Tao K, Zhang L, Tsow F, Forzani ES, Tao N.

Clin Nutr. 2014 Apr;33(2):341-7. doi: 10.1016/j.clnu.2013.06.001. Epub 2013 Jun 10.

PMID:
23827182
8.
9.

Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements.

Su SW, Celler BG, Savkin AV, Nguyen HT, Cheng TM, Guo Y, Wang L.

Med Biol Eng Comput. 2009 Oct;47(10):1111-7. doi: 10.1007/s11517-009-0534-0.

PMID:
19798527
10.

Comparison of oxygen consumption calculated by Fick's principle (using a central venous catheter) and measured by indirect calorimetry.

Inadomi C, Terao Y, Yamashita K, Fukusaki M, Takada M, Sumikawa K.

J Anesth. 2008;22(2):163-6. doi: 10.1007/s00540-007-0588-9. Epub 2008 May 25.

PMID:
18500614
11.

Optimum gravity vector and vertical acceleration estimation using a tri-axial accelerometer for falls and normal activities.

Bourke AK, O'Donovan K, Clifford A, ÓLaighin G, Nelson J.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:7896-9. doi: 10.1109/IEMBS.2011.6091947.

PMID:
22256171
12.

Recommendations for improved data processing from expired gas analysis indirect calorimetry.

Robergs RA, Dwyer D, Astorino T.

Sports Med. 2010 Feb 1;40(2):95-111. doi: 10.2165/11319670-000000000-00000.

PMID:
20092364
13.

A new device to estimate VO2 during incline walking by accelerometry and barometry.

Yamazaki T, Gen-No H, Kamijo Y, Okazaki K, Masuki S, Nose H.

Med Sci Sports Exerc. 2009 Dec;41(12):2213-9. doi: 10.1249/MSS.0b013e3181a9c452.

PMID:
19920753
14.

Carbon dioxide elimination and oxygen consumption in mechanically ventilated children.

Smallwood CD, Walsh BK, Bechard LJ, Mehta NM.

Respir Care. 2015 May;60(5):718-23. doi: 10.4187/respcare.03605. Epub 2014 Dec 30.

15.

Energy expenditure estimation using triaxial accelerometry and barometric pressure measurement.

Voleno M, Redmond SJ, Cerutti S, Lovell NH.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5185-8. doi: 10.1109/IEMBS.2010.5626271.

PMID:
21096036
16.

An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer.

Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P.

J Appl Physiol (1985). 2009 Oct;107(4):1300-7. doi: 10.1152/japplphysiol.00465.2009. Epub 2009 Jul 30.

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