The present invention relates to an acquisition method using a look-up table RRI, race, age, gender, body fat, etc. generation of a variety of look-up table and the average RRI meet the conditions, when the patients ECG is measured in real time, because application in a look-up table for the condition of the subject with only a minimum of several tens RRI, emotional states such as stress analysis of a few tens of seconds The calculation of the effective data for, and to continue to generate updated with a look-up table has its own purpose. An object of the present invention stores the normalized RRI look-up table 128 is built according to the heart rate in a database, receives the real-time ECG signal of the subject according to the RRI acquisition method using a look-up table for calculating the RRI, input from the patient the process of registering the identification information of the subject stored in the database Calculating a real-time ECG signal measured from the RRI of the subject And calculating a mean heart rate from the calculated RRI, and call up the look-up table data in the database of the subject with the same conditions, the process of calling the dog RRI 128 is stored in the region corresponding to the heart rate The process of calculating the HRV using 128 RRI called And to calculate the average heart rate in the RRI calculated in real time during the process, the process of updating each of the RRI value on that portion of the look-up table corresponding to the calculated heart rate characterized in that the formed, including본 발명은 룩업테이블을 이용한 RRI획득방법에 관한 것으로, 인종, 연령, 성별, 체지방 등의 다양한 조건에 맞는 평균 RRI를 룩업테이블로 생성하고, 피검자의 심전도가 실시간으로 측정되었을 때, 최소 수십개의 RRI만으로 피검자의 조건에 맞는 룩업테이블에 적용하므로, 수십초 만에 스트레스등의 감정상태 분석을 위한 유효데이터를 산출하며, 지속적으로 업데이트하여 자신만의 룩업테이블을 생성하도록 하는데 그 목적이 있다. 본 발명의 목적은 심박에 따른 정규화된 128개의 RRI가 내장된 룩업테이블을 데이터베이스에 저장하고, 피검자의 실시간 심전도신호를 입력받아 RRI를 산출하는 룩업테이블을 이용한 RRI획득방법에 있어서, 피검자로부터 입력된 피검자의 신상정보를 데이터베이스에 저장 등록하는 과정 피검자의 측정된 심전도신호에서 실시간 RRI를 산출하는 과정 산출된 RR
