지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.10
- 수록면
- 489 - 496 (8page)
이용수
초록· 키워드
오류제보하기
Our previous study on monitoring cerebral oxygenation with a variation of isoflurane concentration in a rat model showed that near-infrared spectroscopy (NIRS) signals have potential as a new depth of anesthesia (DOA) index. However, that study obtained results from the brain in a completely invasive way, which is inappropriate for clinical application. Therefore, in this follow-up study, it was investigated whether the NIRS signals measured in a minimally invasive model including the skull and cerebrospinal fluid layer (CSFL) are similar to the previous study used as a gold standard. The experimental method was the same as the previous study, and only the subject model was different. We continuously collected NIRS signals before, during, and after isoflurane anesthesia. The isoflurane concentration started at 2.5% (v/v) and decreased to 1.0% by 0.5% every 5 min. The results showed a positive linear correlation between isoflurane concentration and ratio of reflectance intensity (RRI) increase, which is based on NIRS signals. This indicates that the quality of NIRS signals passed through the skull and CSFL in the minimally invasive model is as good as the signal obtained directly from the brain. Therefore, we believe that the results of this study can be easily applied to clinics as a potential indicator to monitor DOA.
목차
Ⅰ. INTRODUCTION
Ⅱ. METHOD
Ⅲ. RESULTS
Ⅳ. DISCUSSIONS AND CONCLUSION
REFERENCES
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
NIR 관련 논문 통계 분석에 의한 NIR 원격탐사의 기술 및 활용분야 고찰
대한원격탐사학회지
2017 .10
-
Identification of drugs by vision imaging and NIR spectroscopy
한국분석과학회 학술대회
2016 .11
-
Monitoring Differences in Vaginal Hemodynamic and Temperature Response for Sexual Arousal by Different Anesthetic Agents Using an Optical Probe
Current Optics and Photonics
2020 .02
-
Improvement of origin discrimination method of pork belly using NIRS through reduction of sample weight
한국분석과학회 학술대회
2021 .05
-
A brief review of non-invasive brain imaging technologies and the near-infrared optical bioimaging
한국현미경학회지
2021 .06
-
A Simulation Study of 3 Dimensional Image Reconstruction for Diabetic Foot imaging based on the Contact Based Near-Infrared Spectroscopy (NIRS)
한국자기학회 학술연구발표회 논문개요집
2019 .11
-
High-sensitivity NIR Sensing with Stacked Photodiode Architecture
Current Optics and Photonics
2023 .04
-
Vanadium oxide-embedded Si for NIR Photodetector
한국진공학회 학술발표회초록집
2018 .02
-
Effect of Organic Solvent Extractives on Korean Softwoods Classification Using Near-infrared Spectroscopy
목재공학(Journal of the Korean Wood Science and Technology)
2019 .01
-
Signal to Noise Ratio of Spectroscopy Utilizing Spectral Images
새물리
2021 .01
-
음향광학 파장선택 필터 기반 파장훑음 레이저를 이용한 시간-인코딩 된 근적외선 흡광도 측정 비교 연구
한국광학회지
2017 .02
-
FT-NIRS를 이용한 콩의 형태별 원산지 판별 정확도 연구
한국분석과학회 학술대회
2019 .05
-
Characterizations of NIR phototransistors based on quantum-dots and oxide semiconductor
한국진공학회 학술발표회초록집
2018 .02
-
NIR을 활용한 치약 중의 불소 확인
한국분석과학회 학술대회
2019 .05
-
Discrimination of Geographical Origin for Chrysanthemum morifolium using FT-NIRS (Fourier transform near-infrared spectroscopy) combined multivariate
한국분석과학회 학술대회
2023 .11
-
A Study on the non-destructive verification of the flame resistant paint using non-invasive FT-NIR spectrometer and multivariative analysis method
한국분석과학회 학술대회
2015 .05
-
Fabrication of NIR Fluorophore Functionalized 3D-Artificial Bone Scaffold for The Detection of ALP In- vivo
한국진공학회 학술발표회초록집
2020 .02
-
마른김 품질 평가를 위한 FT-NIR 분광기 활용 연구
한국해양바이오학회지
2022 .12
-
Study on Rapid Measurement of Wood Powder Concentration of Wood-Plastic Composites using FT-NIR and FT-IR Spectroscopy Techniques
목재공학(Journal of the Korean Wood Science and Technology)
2016 .01
-
Evaluation of Autoencoder for NIR Spectroscopic Identification of Geographical Origins of Agricultural Products
한국분석과학회 학술대회
2019 .05
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2023-425-000230598