Hinkley S Algorithm
Mostrando 1-4 de 4 artigos, teses e dissertações.
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1. Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography
BACKGROUND: The second heart rate (HR) turn point has been extensively studied, however there are few studies determining the first HR turn point. Also, the use of mathematical and statistical models for determining changes in dynamic characteristics of physiological variables during an incremental cardiopulmonary test has been suggested. OBJECTIVES: To
Braz. J. Phys. Ther.. Publicado em: 2013-12
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2. Comparison of anaerobic threshold determined by visual and mathematical methods in healthy women
Several methods are used to estimate anaerobic threshold (AT) during exercise. The aim of the present study was to compare AT obtained by a graphic visual method for the estimate of ventilatory and metabolic variables (gold standard), to a bi-segmental linear regression mathematical model of Hinkley's algorithm applied to heart rate (HR) and carbon dioxide o
Brazilian Journal of Medical and Biological Research. Publicado em: 2007-04
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3. Determinação do limiar de anaerobiose pela análise visual gráfica e pelo modelo matemático de regressão linear bi-segmentado de Hinkley em mulheres saudáveis / Anaerobic threshold determined by graphic visual analysis and Hinkley bi-segmental linear regression mathematical model in healthy women
O limiar de anaerobiose (LA) é definido como a intensidade de exercício físico em que a produção de energia pelo metabolismo aeróbio é suplementada pelo metabolismo anaeróbio. Este índice constitui-se de um delimitador fisiológico de grande importância para o fornecimento de informações concernentes aos principais sistemas biológicos do organis
Publicado em: 2006
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4. Detection of jumps in single-channel data containing subconductance levels.
Detection algorithms are widely used for the analysis of single-channel data because they remove the background noise from the measured current signal and reconstruct the noise-free time series. Standard detection algorithms assume channels switching only between zero and full conductance. Many types of channels, however, show subconductance levels. A new de