[1. Andreoli A., Garaci F., Cafarelli F.P., Guglielmi G. (2016) Body composition in clinical practice. Eur. J. Radiol., 85: 1461-1468. DOI: 10.1016/j.ejrad.2016.02.005.10.1016/j.ejrad.2016.02.00526971404]Search in Google Scholar
[2. Atkinson G., Nevill A.M. (1998) Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med., 26: 217-238. DOI: 10.2165/00007256-199826040-00002.10.2165/00007256-199826040-000029820922]Search in Google Scholar
[3. Colantonio E., Dâmaso A.R., Caranti D.A., Pinheiro M.M., Tufik S., Mello M.T.d. (2015) Clinical performance of 3-body fat measurements in obese adolescents 15 to 18 years-old. Rev. Bras. Med., 72: 77-82.]Search in Google Scholar
[4. Gholi Z., Heidari-Beni M., Feizi A., Iraj B., Askari G. (2016) The characteristics of pre-diabetic patients associated with body composition and cardiovascular disease risk factors in the Iranian population. J. Res. Med. Sci., 21: 1-6. DOI: 10.4103/1735-1995.179888.10.4103/1735-1995.179888512224827904566]Search in Google Scholar
[5. Gore C. (2000) Quality assurance in exercise physiology laboratories. Physiological testing for elite athletes (Australian Sports Commission). Human Kinetics, Champaign.]Search in Google Scholar
[6. Habibi E., Soury S., Zadeh A.H. (2013) Precise evaluation of anthropometric 2D software processing of hand in comparison with direct method. J. Med. Signals Sensors, 3: 256-261.10.4103/2228-7477.128338]Search in Google Scholar
[7. Hung P.C.-Y., Witana C.P., Goonetilleke R.S. (2004) Anthropometric measurements from photographic images. Computing Systems, 29: 764-769.]Search in Google Scholar
[8. Hussain Z., Jafar T., uz Zaman M., Parveen R., Saeed F. (2014) Correlations of skin fold thickness and validation of prediction equations using DEXA as the gold standard for estimation of body fat composition in Pakistani children. BMJ Open, 4: e004194. DOI: 10.1136/bmjopen-2013-004194.10.1136/bmjopen-2013-004194401086024755209]Search in Google Scholar
[9. Jackson A.S., Pollock M.L. (1978) Generalized equations for predicting body density of men. Brit. J. Nutr., 40: 497-504.]Search in Google Scholar
[10. Jackson A.S., Pollock M.L., Ward A. (1979) Generalized equations for predicting body density of women. Med. Sci. Sport Exerc., 12: 175-181.]Search in Google Scholar
[11. Kälvesten J., Lui L.-Y., Brismar T., Cummings S. (2016) Digital X-ray radiogrammetry in the study of osteoporotic fractures: Comparison to dual energy X-ray absorptiometry and FRAX. Bone, 86: 30-35. DOI: 10.1016/j.bone.2016.02.011.10.1016/j.bone.2016.02.011483367026921822]Search in Google Scholar
[12. Karlen W., Garde A., Myers D., Scheffer C., Ansermino J.M., Dumont G.A. (2015) Estimation of respiratory rate from photoplethysmographic imaging videos compared to pulse oximetry. IEEE J. Biomed. Health Informatics, 19: 1331-1338. DOI: 10.1109/JBHI.2015.2429746.10.1109/JBHI.2015.242974625955999]Search in Google Scholar
[13. Loenneke J.P., Barnes J.T., Wilson J.M., Lowery R.P., Isaacs M.N., Pujol T.J. (2013) Reliability of field methods for estimating body fat. Clin. Physiol. Funct. Imaging, 33: 405-408. DOI: 10.1111/cpf.12045.10.1111/cpf.1204523701358]Search in Google Scholar
[14. Lowry D.W., Tomiyama A.J. (2015) Air displacement plethysmography versus dual-energy x-ray absorptiometry in underweight, normal-weight, and overweight/ obese individuals. PloS one. DOI: 10.1371/journal.pone.0115086.10.1371/journal.pone.0115086430186425607661]Search in Google Scholar
[15. Macfarlane D.J. (2007) Can bioelectric impedance monitors be used to accurately estimate body fat in Chinese adults? Asia Pacific J. Clin. Nutr., 16: 66-73.]Search in Google Scholar
[16. Mazzoccoli G. (2016) Body composition: Where and when. Eur. J. Radiol., 85: 1456-1460.]Search in Google Scholar
[17. Moon J. (2013) Body composition in athletes and sports nutrition: An examination of the bioimpedance analysis technique. Eur. J. Clin. Nutr., 67: S54-S59. DOI: 10.1038/ejcn.2012.165.10.1038/ejcn.2012.16523299872]Search in Google Scholar
[18. Ng B., Hinton B., Fan B., Kanaya A., Shepherd J. (2016) Clinical anthropometrics and body composition from 3D whole-body surface scans. Eur. J. Clin. Nutr., in press. DOI: 10.1038/ejcn.2016.109.10.1038/ejcn.2016.109546616927329614]Search in Google Scholar
[19. Ockendon M., Gilbert R.E. (2012) Validation of a novel smartphone accelerometer-based knee goniometer. J. Knee Surgery, 25: 341-346. DOI: 10.1055/s-0031-129966910.1055/s-0031-129966923150162]Search in Google Scholar
[20. Oeffinger D.J., Gurka M.J., Kuperminc M., Hassani S., Buhr N., Tylkowski C. (2014) Accuracy of skinfold and bioelectrical impedance assessments of body fat percentage in ambulatory individuals with cerebral palsy. Dev. Med. Child Neurol., 56: 475-481. DOI: 10.1111/dmcn.12342.10.1111/dmcn.1234224344745]Search in Google Scholar
[21. Otter S.J., Agalliu B., Baer N., Hales G., Harvey K., James K., Keating R., McConnell W., Nelson R., Qureshi S. (2015) The reliability of a smartphone goniometer application compared with a traditional goniometer for measuring first metatarsophalangeal joint dorsiflexion. J. Foot Ankle Res., 8: 1. DOI: 10.1186/s13047-015-0088-3.10.1186/s13047-015-0088-3451201826207142]Search in Google Scholar
[22. Peart D.J., Shaw M.P., Rowley C.G. (2014) Validity of freely available mobile applications for recording resting heart rate. Ann. Biol. Res., 5: 11-15.]Search in Google Scholar
[23. Peart D.J., Shaw M.P., Rowley C.G. (2015) An investigation into a contactless photoplethysmographic mobile application to record heart rate post-exercise: Implications for field testing. Biomed. Hum. Kinet., 7: 95-99. DOI: 10.1515/bhk-2015-0015.10.1515/bhk-2015-0015]Search in Google Scholar
[24. Reyes B., Reljin N., Kong Y., Nam Y., Chon K. (2016) Tidal volume and instantaneous respiration rate estimation using a smartphone camera. IEEE J. Biomed. Health Informatics, 2168-2194. DOI: 10.1109/JBHI.2016.2532876.10.1109/JBHI.2016.253287626915142]Search in Google Scholar
[25. Siri W. (1956) The gross composition of the body; In: Lawrence J.H., Tobias C.S. (eds): Biological and Medical Physics. New York, Academic Press.10.1016/B978-1-4832-3110-5.50011-X13354513]Search in Google Scholar
[26. Tompuri T.T., Lakka T.A., Hakulinen M., Lindi V., Laaksonen D.E., Kilpeläinen T.O., Jääskeläinen J., Lakka H.M., Laitinen T. (2015) Assessment of body composition by dual‐energy X‐ray absorptiometry, bioimpedance analysis and anthropometrics in children: the Physical Activity and Nutrition in Children study. Clin. Pysiol. Funct. Imaging, 35: 21-33. DOI: 10.1111/cpf.12118.10.1111/cpf.1211824325400]Search in Google Scholar
[27. Weir J.P. (2005) Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J. Strength Cond. Res., 19: 231-240. DOI: 10.1519/15184.1.10.1519/15184.115705040]Search in Google Scholar
[28. Willis L.H., Slentz C.A., Bateman L.A., Shields A.T., Piner L.W., Bales C.W., Houmard J.A., Kraus W.E. (2012) Effects of aerobic and/or resistance training on body mass and fat mass in overweight or obese adults. J. Appl. Physiol., 113: 1831-1837. DOI: 10.1152/japplphysiol.01370.201110.1152/japplphysiol.01370.2011354449723019316]Search in Google Scholar