This study relates to acquiring biological signal without attaching directly to the user using UWB(Ultra Wide Band) radar. The collected information is the respiratory rate, heart rate, and the degree of movement during sleep, and this information is used to measure the sleep state. A breathing measurement algorithm and a sleep state detection algorithm were developed to graph the measured data. Information about the sleep state will be used as a personalized diagnosis by connecting with the medical institution and contribute to the prevention of sleep related diseases. In addition, biological signal will be linked to various sensors in the era of the 4th industrial revolution, leading to smart healthcare, which will make human life more enriching.

Abstract
1. 서 론
2. 이론적 배경
3. 분석방법
4. 분석결과
    4.1 호흡 측정 방식
    4.2 수면상태 감지 방식
5. 결론 및 향후 연구방향
6. References

• 이용규(금오공과대학교 산업공학부) | Yonggyu Lee (School of Industrial Engineering, Kumoh National Institute of Technology)
• 조중길(헥스하이브(주)) | Joonggil Cho (General Department, Hexhive Co. Ltd.)
• 김태성(금오공과대학교 산업공학부) | Taesung Kim (School of Industrial Engineering, Kumoh National Institute of Technology) Corresponding Author