A Study on the Implementation and Development of Image Processing Algorithms for Vibes Detection Equipment

Jin-Hyoung Jeong; Jae-Hyun Jo; Jee-Hun Jang; Sang-Sik Lee

A Study on the Implementation and Development of Image Processing Algorithms for Vibes Detection Equipment

Recommendations

Search

Questions

정맥 검출 장비 구현 및 영상처리 알고리즘 개발에 대한 연구

Type: Academic journal

Author: Jin-Hyoung Jeong (가톨릭관동대학교) Jae-Hyun Jo (가톨릭관동대학교) Jee-Hun Jang (가톨릭관동대학교) Sang-Sik Lee (가톨릭관동대학교)

Journal: Korea Information Electron Communication Technology Journal of Korea Institute of Information, Electronics, and Communication Technology Vol.15 No.6 KCI Accredited Journals

Published: 2022.12

Pages: 463 - 470 (8page)

Usage

📌

Topic

📖

Background

🔬

Method

🏆

Result

A Study on the Implementation and Development of Image Processing Algorithms for Vibes Detection Equipment

Abstract· Keywords

Report Errors

Intravenous injection is widely used for patient treatment, including injection drugs, fluids, parenteral nutrition, and blood products, and is the most frequently performed invasive treatment for inpatients, including blood collection, peripheral catheter insertion, and other IV therapy, and more than 1 billion cases per year. Intravenous injection is one of the difficult procedures performed only by experienced nurses who have been trained in intravenous injection, and failure can lead to thrombosis and hematoma or nerve damage to the vein. Nurses who frequently perform intravenous injections may also make mistakes because it is not easy to detect veins due to factors such as obesity, skin color, and age. Accordingly, studies on auxiliary equipment capable of visualizing the venous structure of the back of the hand or arm have been published to reduce mistakes during intravenous injection. This paper is about the development of venous detection equipment that visualizes venous structure during intravenous injection, and the optimal combination was selected by comparing the brightness of acquired images according to the combination of near-infrared (NIR) LED and Filter with different wavelength bands. In addition, an image processing algorithm was derived to threshehold and making blood vessel part to green through grayscale conversion, histogram equilzation, and sharpening filters for clarity of vein images obtained through the implemented venous detection experimental module.

#vein detecting #venipuncture #nurse #near-infrared light #image processing

요약
Abstract
1. 서론
2. 연구 방법
3. 실험 결과 및 고찰
4. 결론
REFERENCES

References (0)

Add References

If the reference is being serviced by DBpia, please register through [Add Reference]

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

정진형

Affiliation 가톨릭관동대학교

Fields Engineering > Electrical and Electronic Engineering > Information and Communication Engineering TOP 0.5%

Articles 34 Usage 6,617

조재현

Affiliation 가톨릭관동대학교

Fields Engineering > Electrical and Electronic Engineering > Information and Communication Engineering TOP 1%

Articles 18 Usage 3,307

장지훈

Affiliation 가톨릭관동대학교

Fields Engineering > Electrical and Electronic Engineering > Information and Communication Engineering

Articles 1 Usage 143

이상식

Affiliation 가톨릭관동대학교

Fields Engineering > Electrical and Electronic Engineering > Information and Communication Engineering TOP 0.5% Engineering > Electrical and Electronic Engineering > Electrical Engineering

Articles 67 Usage 8,082

Frequently Viewed Together

Influence of Ethical Leadership of Nursing Unit Managers on Job Embeddedness of Staff Nurses: Focusing on Mediating Effect of Trust in Supervisor

Kim , Sunmi , Jeong and others 5 Journal of Korean Academy of Nursing Administration 2021 .01

A Study on the difference in the sharpness of venous images between individual algorithms and combinations

Jin-Hyoung Jeong Journal of Korea Institute of Information, Electronics, and Communication Technology 2023 .12

Real-time preprocessing to improve object detection performance in low-light environments

Tae-su Wang , Si-Woong Jang , Jongwook Jang 한국정보통신학회 종합학술대회 논문집 2023 .10

A Study on the Effect of Intrinsic and Extrinsic Factors on Patent Life: Focusing on Medical device Industry and Macroeconomic Conditions

Kim , Min-Seung , Lee and others 12 Journal of Korea Technology Innovation Society 2023 .06

A Study on the Causes of Injury Codes by Case-Based Injury Code of External Causes Frequency Analysis

Eun-Mee Choi , Hye-Eun , Jin Journal of Korea Institute of Information, Electronics, and Communication Technology 2023 .02

Comments(0)

Write first comments.

UCI(KEPA) : I410-ECN-0101-2023-569-000290646

구분	그룹	데이터 항목
AI 학습용 데이터	원문	원문 PDF 파일
AI 학습용 데이터	원문 + 메타 (기본/상세)	원문 PDF 파일 및 서지정보 CSV
대량 구매용 데이터	B2B 구독 방식	특정 자료 한정으로 원문 접근 권한 부여
대량 구매용 데이터	URL 전달 방식	바로 PDF 뷰어를 열람할 수 있는 URL 제공

구분	그룹	데이터 항목
AI 학습용 데이터	기본 메타	발행기관명, 간행물명, 권호명, 권(vol), 호(issue), 통권, 발행연도, 발행월, 논문명, 저자명, 시작페이지, 종료페이지, 전체페이지, 상세페이지URL
상세 메타 데이터	발행기관 메타	발행기관 이명, 영문명, 창립연도, 홈페이지URL, 발행기관 소개
	간행물 메타	부제목, 간행물 유형, ISSN, ISBN, 최초발행연도, 폐간연도, 간행빈도, 발행주기, 등재사항, 이용수, 피인용수, 권호수, 논문수, 표지이미지
	논문 메타	작성 언어, 부제목, 대등제목, 목차, 키워드, 초록, 이미지, 참고문헌, 이용수, 피인용수, 논문활용도, DBpia통합주제분류, KDC분류, DDC분류, 한국연구재단분류, UCI, DOI
	저자 메타	소속기관, 소속부서, 직급, 연구분야, 연구키워드, 이용수, 피인용수, 저자 논문활용도

구분	그룹	데이터 항목
※ 결합형/맞춤형 메타 데이터는 신청 내용에 따라 다양하게 제공 가능
이용순위 정보	주제분야별 많이 이용된 논문	“인문학”에서 많이 이용된 논문 TOP100
	이용기관별 많이 이용된 논문	“중고등학교”에서 많이 이용된 논문 TOP100
	세부기관별 많이 이용된 논문	“서울대학교”에서 많이 이용된 논문 TOP100
	키워드별 많이 이용된 논문	“Chat GPT”에서 많이 이용된 논문 TOP100
키워드 정보	많이 이용된 키워드	특정기간/분야/저널 내 많이 이용된 키워드
	많이 발행된 키워드	특정기간/분야/저널 내 많이 발행된 키워드
	많이 검색된 키워드	특정기간/분야/저널 내 많이 검색된 키워드
	연구 트렌드 키워드	특정 키워드 연관 연구동향 분석 데이터 키워드

논문 기본 정보

Abstract· Keywords

AI Summary

Topic

Background

Method

Result

주요내용

Contents

References (0)

Recommendations

Related Authors

Frequently Viewed Together

Recently viewed articles

Comments(0)