Results 161 to 170 of about 4,597 (239)

Assessing Body Composition in Paralympians: Accuracy of Different Measurement Methods Compared with Dual-Energy X-Ray Absorptiometry. [PDF]

J Funct Morphol Kinesiol
Spada R, Cavedon V, Macori L, Toraldo A, Torrisi L, Franco A, Squeo MR, Bernardi M.   +7 more
europepmc   +1 more source

Exploratory approach to speculate on body composition models for elite teenage basketball players. [PDF]

Sci Rep
Mauro M, Moro F, Toselli S.
europepmc   +1 more source

From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing. [PDF]

J Clin Sleep Med
Chiang AA, Lee-Iannotti J, Torstrick B, Berry RB, Collop NA.   +4 more
europepmc   +1 more source

Modernization of Nutritional Assessment in Population Surveys: Integrating Anthropometry, Body Composition, and Biomarkers in the Digital Era. [PDF]

Curr Nutr Rep
Minari TP.
europepmc   +1 more source

Standardized lung function reference values in rats for translational respiratory research. [PDF]

Commun Biol
Fodor GH, Rárosi F, Boda K, Farkas F, Kun-Szabó F, Schranc Á, Somogyi P, Peták F.   +7 more
europepmc   +1 more source

Non-invasive blood pressure monitoring using wearables for cardiovascular risk assessment: a systematic review. [PDF]

Arch Gynecol Obstet
Zwahlen M, Pavicic E, Khattab K, Krbanjevic V, Endrass J, Stute P.   +5 more
europepmc   +1 more source

Exploring reference standards for the measurement of respiratory rate in children under 5 years of age: a scoping review. [PDF]

BMJ Paediatr Open
Tzirita S, King C, McCollum ED, Baker K, Bordallo López M, Schedwin M.   +5 more
europepmc   +1 more source

Comparing Bioelectrical Impedance Analysis, Air Displacement Plethysmography, and Dual-Energy X-Ray Absorptiometry for Body Composition in Pediatric Obesity. [PDF]

Nutrients
Thajer A, Vasek M, Schneider S, Kautzky-Willer A, Kainberger F, Durstberger S, Kranzl A, Horsak B, Greber-Platzer S.   +8 more
europepmc   +1 more source

Vitabel: A Python Framework for Visualizing and Labelling High-Resolution Physiological Data for Critical Care Machine Learning. [PDF]

J Med Syst
Orlob S, Kern WJ, Hackl B, Wnent J, Gräsner JT, Holler M.   +5 more
europepmc   +1 more source

Assessing the Efficacy of Various Machine Learning Algorithms in Predicting Blood Pressure Using Pulse Transit Time. [PDF]

Diagnostics (Basel)
Turki AF.
europepmc   +1 more source