Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat

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• 作者：Tijana Bojic ; Jasna Saponjic ; Miodrag Radulovacki ; David W. Carley ; Aleks ; ar Kalauzi
• 关键词：Monotone Signal Segments Analysis ; Breath detection ; Breath-to-breath interval ; Rat ; Respiratory pattern modulation ; Monoaminergic lesion
• 刊名：Respiratory Physiology & Neurobiology
• 出版年：2008
• 出版时间：31 May 2008
• 年：2008
• 卷：161
• 期：3
• 页码：273-280
• 全文大小：335 K

文摘

We applied a novel approach to respiratory waveform analysis—Monotone Signal Segments Analysis (MSSA) on 6-h recordings of respiratory signals in rats. To validate MSSA as a respiratory signal analysis tool we tested it by detecting: breaths and breath-to-breath intervals; respiratory timing and volume modes; and changes in respiratory pattern caused by lesions of monoaminergic systems in rats.