- Tytuł:
- Pattern recognition approach for analysis of metabolic response to intermittent hypoxia
- Autorzy:
-
Sokołowska, B.
Jóźwik, A. - Powiązania:
- https://bibliotekanauki.pl/articles/333610.pdf
- Data publikacji:
- 2010
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
rozpoznawanie wzorców
zasada k-NN
przerywane niedotlenienie
metaboliczna odpowiedź
pattern recognition
k-NN rule
pair-wise classifier
intermittent hypoxia
metabolic response - Opis:
- Intermittent hypoxia (IH) elicits two forms of respiratory plasticity, which are initiated during and after exposure to IH, i.e. a long-term facilitation and a progressive augmentation of respiratory motor output. IH is often used as a model of sleep apnea and/or respiratory plasticity in humans and animals. Procedures of IH are also applied in sport medicine and rehabilitation of respiratory diseases. The aim of the present paper is an analysis of a metabolic response to acute intermittent hypoxia in a rat model. The animals were placed and monitored in a whole body plethysmographic chamber. The rats were exposed to five consecutive cycles consisting of 10-min hypoxic stimulus period separated by 10-min normoxic intervals, and additionally they were monitored up to 1 h after the final hypoxic exposure. The metabolism software analyzer recorded following variables (features): metabolic rate, carbon dioxide production, oxygen consumption and respiratory quotient. The obtained results demonstrated that acute IH causes metabolic effects during and after intermittent stimuli, which may be effectively recognized by an application of the k-NN classifiers.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2010, 15; 177-183
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł