고혈압 치료를 위한 디지털 호흡 훈련 지원 시스템의 설계 및 구현
Design and Implementation of a Digital Respiration Training Support System for Hypertension Treatment
- 저자식별ID AuthorId:AuthorId
- 주제(키워드) 도움말 Hypertension , Cardiovascular disease , Antihyperten-sive drugs , Respiration exercise , Digital respiration training system
- 발행기관 강릉원주대학교 대학원
- 지도교수 도움말 전병국
- 발행년도 2023
- 학위수여년월 2023. 8
- 학위명 박사
- 학과 및 전공 도움말 일반대학원 소프트웨어학과
- 세부분야 해당없음
- 실제URI http://www.dcollection.net/handler/kangnung/000000011426
- UCI I804:42001-000000011426
- 본문언어 한국어
초록/요약 도움말
According to the report recently announced by the NHIS(National Health Insurance Service) and the KSH(Korean Society of Hypertension), the number of patients with hypertension among the population aged 20 years or older in Korea increased by about two times from 7.08 million in 2007 to 13.74 million in 2021. Hypertension, along with obesity, is a major factor in causing complications of cardiovascular and cerebrovascular diseases. So, in order for more hypertensive patients to achieve normal blood pressure, appropriate drug therapy and combination therapy are essential, and effective non-drug therapy and non-drug therapy are also urgently needed. Therefore, this paper proposes a medical assistance system for the treatment of hypertension in order to provide treatment through respiration training as a non-drug therapy. The proposed system is an improved system that is effective in treating hypertension through respiration training and an induction algorithm so that it can treat hypertension and borderline hypertension through breathing by supplementing the shortcomings of existing breathing training devices. The proposed system is largely composed of three main devices. First, a portable and wearable respiratory monitoring device that can recognize breathing. And the second is a portable optical heart rate and blood pressure measuring device that checks the heart rate and blood pressure of a user using a breathing apparatus in real time. And it consists of a respiration training main system that processes and processes the data received from these portable devices. In addition, various respiratory induction algorithms and continuous optical blood pressure measurement techniques are proposed to verify and secure the reliability of the proposed system. Also, it was confirmed that there is a very meaningful effect in the performance evaluation of the breathing induction algorithm through the human body application test using the proposed system. It proves that it is effective in lowering blood pressure in hypertensive patients by inducing the user's breathing method through various breathing induction algorithms. Finally, it is necessary to build a cloud system based on the proposed system and expand it to research and development that implements a Bigdata system related to blood pressure and breathing training for hypertensive patients.
more목차 도움말
목 차
국문요약 ······················································· ⅰ
영문요약 ······················································· iii
I. 서론 ··························································· 1
II. 관련 연구 ·················································· 11
2.1 국내 연구 동향 ·········································· 12
2.2 국외 연구 동향 ·········································· 16
2.3 연구의 필요성 ··········································· 18
2.4 호흡 치료 장치들 ········································ 21
III. 호흡 훈련 지원 시스템의 설계 ······················ 26
3.1 전체 시스템 구성 ········································ 26
3.2 호흡 훈련 메인 시스템 ·································· 27
3.3 호흡 측정 장치 ········································· 32
3.4 광학 심박･혈압 측정 장치 ····························· 38
3.4.1 광학 심박 측정 ··································· 38
3.4.2 광학 혈압 측정 ··································· 40
3.5 호흡 유도 알고리즘 ···································· 43
3.5 전체 시스템 동작 흐름 ································· 51
IV. 시스템의 구현 및 성능평가 ·························· 53
4.1 호흡 측정 장치 구현 ··································· 53
4.2 광학 심박･혈압 측정 장치 구현 ······················· 57
4.3 호흡 훈련 메인 시스템 구현 ·························· 63
4.4 성능평가 ················································ 65
4.4.1 호흡 횟수 측정 범위 ····························· 65
4.4.2 호흡 측정 장치의 정확성 검증 ·················· 67
4.4.3 심박 측정 범위 정확도 비교 검증 ·············· 70
4.4.4 호흡 유도 알고리즘의 성능 평가 ················ 72
V. 결론 ························································ 76
참고문헌 ······················································· 79
그 림 목 차
그림 2.1 2007~2021년 20세 이상 고혈압 유병 환자 추이 ···· 12
그림 2.2 고혈압 및 당뇨병 유병률 차이························ 14
그림 2.3 한국과 OECD 국가의 경상의료비 지출 비율 ······· 15
그림 2.4 호흡을 통한 혈압개선의 국내 연구 내용 ············ 16
그림 2.5 호흡 훈련 방법 ······································· 17
그림 2.6 ‘RESPeRATE’ 사용 그룹의 고혈압 저하 추이 ····· 18
그림 2.7 고혈압 질환자 예측 ··································· 19
그림 2.8 RESPeRATE 장치 구성 ····························· 24
그림 3.1 전체 시스템 프레임워크 ······························ 27
그림 3.2 호흡 훈련 메인 시스템의 블록 다이어그램 ········· 30
그림 3.3 PPG 센서의 측정 시간 ······························· 35
그림 3.4 호흡 측정 장치와 측정 방법 ························· 37
그림 3.5 심박･혈압 측정 센서들의 처리 메커니즘 ············ 39
그림 3.6 심박과 혈압 정보를 얻기 위해 정규화 한 PPG ···· 41
그림 3.7 호흡과 맥박과의 관계 ································ 42
그림 3.8 호흡 및 심전도 측정 ································· 48
그림 3.9 인체 시험 절차 및 통계 분석 ························ 50
그림 3.10 전체 시스템 동작 흐름 ······························ 50
그림 4.1 호흡 측정 센서 회로 설계도 ························· 54
그림 4.2 호흡 측정 장치 ······································· 55
그림 4.3 호흡 측정용 흉부벨트 측정 실험 ···················· 55
그림 4.4 LDO LOW NOISE 전원 회로 및 RST 회로도 ···· 58
그림 4.5 광학 심박･혈압 측정 장치 ··························· 59
그림 4.6. 3D 프린터를 이용한 심박수 센서 지그 ············· 59
그림 4.7 심박수 센서의 측정 실험 ····························· 61
그림 4.8 MP3 Chip 및 TFT LCD Touch 기능 회로 설계 ·· 64
그림 4.9 호흡 훈련 메인 시스템 제품 ························· 65
그림 4.10 호흡 횟수 측정 범위 검증 ·························· 67
그림 4.11 호흡 측정 장치의 정확성 실험 몇 검증 결과 ······ 70
그림 4.12 4가지 호흡법 ········································ 73
그림 4.13 인체 시험 결과 ······································ 74
표 목 차
표 2.1 사망원인 순위 추이 ····································· 13
표 3.1 전체 시스템 블루투스 프로토콜 ························ 31
표 3.2 벨트 인장력 신뢰를 위한 지그 제작 방법들 ·········· 38
표 3.3 WHO에 의한 혈압의 분류 ····························· 44
표 3.4 활력징후(vital sign)의 정상범위 ······················ 48
표 4.1 흉부벨트 측정결과 ···································· 57
표 4.2 심박수 센서의 측정 결과 ······························ 62
표 4.3 SpO2 정확도 비교 분석 ································ 72
