Background and purpose : Health is characterized by variability and a loss variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. Cold-Heat score are quantified indices in Korean Medicine. The aim of this study is to analyze relations between 9 respiratory indices (including breath to breath variability) and cold-heat score by questionnaire. Method : Respiratory data were measured during 15 minutes and transferred to text file. We calculated 9 respiratory parameters in use of MATLAB7.1. After then we did correlation analysis of 9 respiratory indices and cold-heat score Results and conclusion : EIratio is showed significant correlation with Cold score and weighted Heat score.