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검색어 | Near-infrared spectroscopy <strong>AND</strong>

연구자

1-9 out of 18 results

권경하 전기및전자공학부 2015 1, 5, 5, 8, 2, 7, 5, 7, 2025
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김경수 기계공학과 1996 1, 1, 3, 2, 2, 2, 1, 1, 1, 1, 7, 8, 5, 16, 20, 8, 7, 14, 10, 6, 10, 10, 10, 11, 10, 6, 3, 2026
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김인희 조천식모빌리티대학원 2007 1, 1, 2, 3, 2, 3, 5, 4, 13, 7, 8, 9, 8, 9, 14, 8, 4, 2026
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김재관 의생명공학과 2001 1, 5, 1, 4, 1, 3, 4, 6, 3, 1, 1, 2, 2, 6, 6, 6, 12, 2, 6, 10, 7, 4, 5, 1, 2026
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김철 바이오및뇌공학과 2014 2, 3, 2, 2, 3, 1, 5, 2, 4, 2, 4, 2025
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박형순 기계공학과 2001 1, 2, 1, 1, 1, 2, 2, 3, 4, 4, 4, 2, 3, 3, 8, 6, 7, 4, 6, 11, 8, 6, 12, 1, 2026
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배현민 전기및전자공학부 2006 1, 2, 2, 2, 4, 4, 3, 4, 2, 3, 5, 3, 1, 1, 5, 3, 2, 2026
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송철 로봇및기계전자공학과 2007 1, 3, 3, 1, 4, 2, 2, 2, 2, 1, 1, 4, 1, 1, 2026
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예종철 김재철AI대학원 1998 1, 2, 1, 2, 1, 1, 1, 3, 4, 7, 5, 7, 7, 7, 7, 12, 7, 7, 12, 4, 25, 17, 17, 16, 14, 5, 1, 2026
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연구실

1-3 out of 3 results

저널논문

1-3 out of 66 results

Brain water dynamics across sleep stages measured by near-infrared spectroscopy: Implications for glymphatic function JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, v.45, no.11, pp.2203 - 2216, 2025-11
SCOPUS 2

Keywords Cerebral fluid regulation brain water dynamics sleep-wake cycle NREM sleep REM sleep

Brain water dynamics across sleep stages measured by near-infrared spectroscopy: Implications for glymphatic function
Yoon, Jee-Eun ; Ji, Minsu ; Hwang, Inha ; Lee, Woo-Jin ; Yu, Seongkwon ; Kim, Jaemyoung ; Lee, Chanhyung ; Lee, Haeil ; Koh, Bumjun ; Bae, Hyeonmin ; Yun, Chang-Ho

초록	This study investigates brain water dynamics across the sleep-wake cycle using near-infrared spectroscopy (NIRS) and linear mixed-effects modeling, motivated by prior observations that glymphatic activity increases during non-rapid eye movement (NREM) and decreases during REM sleep. Forty-one healthy volunteers underwent polysomnography with concurrent cerebral NIRS, with measurements taken 30 minutes before sleep, throughout the night, and for 60 minutes after waking. Brain water content (arbitrary unit, A.U.) was block-averaged for 5-minute epochs and analyzed across WAKE -> NREM, NREM -> WAKE, NREM -> REM, and REM -> NREM transitions. Water content significantly increased during WAKE -> NREM (0.57 A.U., d = 0.77, p < 0.001) and decreased during NREM -> WAKE (-0.93 A.U., d = -1.25, p < 0.001). Decreases during NREM -> REM (-0.40 A.U., d = -0.53, p < 0.05) were followed by increases during REM -> NREM (0.62 A.U., d = 1.10, p < 0.001). Brain water accumulation was significantly greater during the first compared to the last NREM cycle (0.70 A.U., d = 0.86, p < 0.01). These findings reveal robust, state-dependent fluctuations in brain water content that parallel established glymphatic physiology. Water-sensitive NIRS may offer a promising non-invasive approach to monitoring sleep-related brain fluid dynamics in humans, though further multimodal studies are needed to determine its specificity for glymphatic activity.
서지사항	JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, v.45, no.11, pp.2203 - 2216, 2025-11
ISSN	0271-678X
주제분야	Endocrinology & Metabolism Hematology Neurosciences & Neurology
저자 키워드	Cerebral fluid regulation brain water dynamics sleep-wake cycle NREM sleep REM sleep
DOI	10.1177/0271678X251353142
자료유형	Article
기관	KAIST

Alteration of prefrontal functional connectivity in preclinical Alzheimer's disease: an fNIRS study Frontiers in Aging Neuroscience, v.17, 2025-03
SCOPUS 1

Keywords Alzheimer's disease functional connectivity functional near-infrared spectroscopy older adult preclinical stage prefrontal cortex verbal fluency task

Alteration of prefrontal functional connectivity in preclinical Alzheimer's disease: an fNIRS study
Kim, Minhee ; Lee, Jang Jae ; Choi, Kyu Yeong ; Kim, Byeong C. ; Gwak, Jeonghwan ; Lee, Kun Ho ; Kim, Jae Gwan

초록	Background: Early detection of Alzheimer's disease (AD) is vital for delaying its progression through timely intervention. The preclinical stage, the longest phase of AD, often goes undetected due to a lack of noticeable symptoms. Developing an accessible and quantitative screening method for AD is essential for enabling appropriate interventions during this stage. Methods: Functional near-infrared spectroscopy was used to investigate prefrontal functional connectivity in preclinical AD subjects. A total of 99 participants, including healthy controls and preclinical subjects who were amyloid beta (Aβ) positive (n = 45), were recruited. We designed a mixed phonemic and semantic verbal fluency task for the experimental protocol. Functional connectivity was then analyzed as z-values in the left, right, and interhemispheric prefrontal regions during a verbal fluency task. Finally, we assessed the correlation between the participants' z-values and clinical indices. Results: The preclinical AD group exhibited increased interhemispheric functional connectivity derived from oxygenated and deoxygenated hemoglobin during verbal tasks involving the first phonemic letter. Additionally, significant right and left functional connectivity differences were observed in the healthy control group during verbal tasks with the letter and categories, but not in the preclinical AD group. Lastly, the difference in interhemispheric functional connectivity of oxygenated hemoglobin between the first and second verbal trials was significantly greater in the preclinical AD group. These interhemispheric functional connectivity values were significantly correlated with Aβ results from positron emission tomography. Conclusion: The initial increase and subsequent reduction of interhemispheric functional connectivity in the preclinical AD group across task repetitions suggests that task-related prefrontal network alterations may occur during the preclinical phase of AD and shows its potential as a biomarker for screening preclinical AD. Copyright © 2025 Kim, Lee, Choi, Kim, Gwak, Lee and Kim.
서지사항	Frontiers in Aging Neuroscience, v.17, 2025-03
ISSN	1663-4365
주제분야	Geriatrics & Gerontology Neurosciences & Neurology
저자 키워드	Alzheimer's disease functional connectivity functional near-infrared spectroscopy older adult preclinical stage prefrontal cortex verbal fluency task
DOI	10.3389/fnagi.2025.1507180
자료유형	Article
기관	GIST

High-speed tissue metabolism measurement using a combination of diffuse speckle contrast analysis and near-infrared spectroscopy International Journal of Optomechatronics, v.18, no.1, 2024-12
SCOPUS 4

Keywords High-speed acquisition Tissue metabolism Tissuemetabolic rate of oxygenconsumption Diffusespeckle contrast analysis Near-infrared spectroscopy Multimodal system

High-speed tissue metabolism measurement using a combination of diffuse speckle contrast analysis and near-infrared spectroscopy
Yeo, Chaebeom ; Chang, Yeonhee ; Song, Cheol

초록	This study presents and validates a multimodal optical system combining diffuse speckle contrast analysis (DSCA) and near-infrared spectroscopy (NIRS) with a unique system design for high-speed tMRO2 monitoring. The optical system for simultaneous dual-wavelength illumination and detection by a single camera is constructed using dichroic mirrors without an external trigger device. Phantom experiments and in-vivo arterial occlusion tests are conducted by varying the camera exposure time from 0.5 ms to 10 ms to validate system performance. We analyze and compare the results according to the exposure time to acquire the optimal relative tMRO2 (rtMRO2) signal by dual-exposure time control. The in-vivo experiment confirmed that the relative blood flow (rBF) and tissue oxygenation index (TOI) signals from the two modalities had a trade-off with the camera exposure time. We obtained the optimal rtMRO2 using dual-exposure time control. We conclude that the proposed DSCA/NIRS provides real-time rtMRO2 assessment, which can provide biomarkers for diagnosing vascular diseases. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
서지사항	International Journal of Optomechatronics, v.18, no.1, 2024-12
ISSN	1559-9612
주제분야	Engineering Optics
저자 키워드	High-speed acquisition Tissue metabolism Tissuemetabolic rate of oxygenconsumption Diffusespeckle contrast analysis Near-infrared spectroscopy Multimodal system
DOI	10.1080/15599612.2024.2382141
자료유형	Article
기관	DGIST

연구과제

1-3 out of 5 results

무선통신및 광통신 기술을 융합한 소형의 고성능 기능성 근적외선 뇌 영상장치 개발 미래창조과학부, 원천기술개발사업, 2017-06 ~ 2018-12
Keywords functional Near infrared spectroscopy (fNIRS) Portable/Low cost CDMA/MIMO

(EZBARO)무선통신 및 광통신 기술을 융합한 소형의 고성능 기능성 근적외선 뇌 영상장치 개발(2016) 미래창조과학부, 원천기술개발사업, 배현민, 2016-06 ~ 2017-06
Keywords functional Near infrared spectroscopy (fNIRS) Portable/Low cost CDMA/MIMO

무선통신 및 광통신 기술을 융합한 소형의 고성능 기능성 근적외선 뇌 영상장치 개발(1단계3차) 미래창조과학부, 원천기술개발사업, 배현민, 2015-06 ~ 2016-06
Keywords functional Near infrared spectroscopy (fNIRS) Portable/Low cost CDMA/MIMO

특허

1-3 out of 8 results

근적외선 분광분석법 기반의 조직 검사 적합도 판단 장치 및 방법 APPARATUS AND METHOD FOR DETERMINING FITNESS FOR TISSUE EXAMINATION BASED ON NEAR-INFRARED SPECTROSCOPY, Registration Number: 10-2727722-0000, Registration Date: 2024-11-05, 대한민국

근적외선 분광분석법 기반의 조직 검사 적합도 판단 장치 및 방법

요약정보	근적외선 분광분석법 기반의 조직 검사 적합도 판단 장치 및 방법이 개시되며, 본원의 일 실시예에 따른 근적외선 분광분석법 기반의 조직 검사 적합도 판단 장치는, 근적외선 대역의 광을 방출하는 광원을 포함하는 광 공급부, 상기 근적외선 대역의 광을 검사 대상체로 조사하는 광 조사부, 상기 조사된 근적외선 대역의 광이 상기 검사 대상체에 의해 투과된 광을 획득하는 광 획득부 및 상기 투과된 광의 특성에 기초하여 상기 검사 대상체의 조직 검사를 위한 적합도를 평가하는 분석부를 포함할 수 있다.	크게보기
타언어명	APPARATUS AND METHOD FOR DETERMINING FITNESS FOR TISSUE EXAMINATION BASED ON NEAR-INFRARED SPECTROSCOPY
출원번호	10-2022-0007747
출원일자	2022-01-19
등록번호	10-2727722-0000
등록일자	2024-11-05
발명자	유홍기, 김완준, 김완배
출원/등록국가	대한민국
기관	KAIST

근적외선 분광신호의 노이즈 제거방법 Method for noise reduction of functional near-infrared spectroscopy, Registration Number: 10-2509809, Registration Date: 2023-03-09, 대한민국

근적외선 분광신호의 노이즈 제거방법

요약정보	본 발명은 근적외선 분광신호의 노이즈 제거방법에 관한 것으로서, 근적외선 분광촬영장치로부터 측정된 근적외선 분광신호에서 노이즈를 제거하기 위한 근적외선 분광신호의 노이즈 제거방법에 있어서, (A) 근적외선 분광촬영장치로부터 측정된 근적외선 분광신호에 대해서 독립성분분석을 실시하는 단계; (B) 근적외선 분광신호에 존재하는 독립성분을 추출하는 단계; (C) 추출된 각 독립성분에 대한 선형 회귀분석을 통해 결정계수를 획득하는 단계; (D) 선형 회귀분석을 통해 획득한 결정계수와 임계치를 비교하여 독립성분을 선택 제거하는 단계;를 포함하는 것을 특징으로 한다. 본 발명에 따르면, 독립성분분석과 회귀분석을 동시에 이용함으로써 측정되는 근적외선 분광신호로부터 노이즈 성분을 일관된 기준으로 선택 제거할 수 있고, 측정된 근적외선 분광신호에 대해 동잡음뿐만 아니라 온도와 빛 또는 습도 등의 주변 환경여건과 근적외선을 송수신하는 하드웨어의 특성으로 인해 발생할 수밖에 없는 노이즈까지 효과적으로 제거할 수 있으며, 특히 뇌 신호 측정에 활용시 노이즈를 제거하여주므로 고충실의 뇌 혈류 신호를 얻을 수 있는 등 매우 우수한 근적외선 분광신호를 획득할 수 있다.	크게보기
타언어명	Method for noise reduction of functional near-infrared spectroscopy
출원번호	10-2021-0007773
출원일자	2021-01-20
등록번호	10-2509809
등록일자	2023-03-09
발명자	이승현, 진상현
출원/등록국가	대한민국
기관	DGIST

측두엽 기능 측정용 근적외선 분광 기법 프로브 Near-infrared spectroscopy probe for measuring temporal lobe functio, Registration Number: 10-2426133, Registration Date: 2022-07-22, 대한민국

학술활동

1-3 out of 25 results

EVENT-SPECIFIC EEG-FNIRS FEATURE FUSION FOR ALZHEIMER'S DISEASE CLASSIFICATION 31st IEEE International Conference on Image Processing, ICIP 2024, 아랍에미리트, 2024-10-27 ~ 2024-10-30
Keywords Alzheimer's disease Electroencephalography Feature fusion Functional near-infrared spectroscopy Machine-learning

EVENT-SPECIFIC EEG-FNIRS FEATURE FUSION FOR ALZHEIMER'S DISEASE CLASSIFICATION
Kim, Sung-Hyeon ; Choi, Tae-Min ; Lee, Sun-Kyung ; Kim, Minhee ; Kim, Jae Gwan ; Kim, Jong-Hwan

초록	Alzheimer's disease (AD) remains a significant challenge in neurological disorders, necessitating advanced diagnostic techniques for early detection and intervention. This study presents a novel approach for AD classification utilizing a combination of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals. The distinctive characteristics of the cognitive tasks employed in data acquisition underscore the need for task-specific feature extraction insights. To this end, we propose an innovative event-specific feature extraction method that adapts to the unique attributes of each task and signal. By tailoring feature extraction to the inherent characteristics of each task, we achieve maximal information extraction, thereby elevating classification performance. Our methodology employs Recursive Feature Elimination with Cross-Validation, which progressively deletes features with low importance from the model. This iterative process generates the essential features after the feature extraction. The EEG-fNIRS feature fusion capitalizes on their complementary nature, enhancing the discriminatory power of the classification model. Also, in addition to the resting state data usually used for AD classification, we used data collected through three cognitive tasks to identify rich features of AD patients. Our method demonstrates significant promise in effective diagnosis with varying cognitive statuses - healthy controls, mild cognitive impairment, and AD patients. © 2024 IEEE.
학술대회명	31st IEEE International Conference on Image Processing, ICIP 2024
개최국	아랍에미리트
개최장소	Abu Dhabi
개최일	2024-10-27
저자 키워드	Alzheimer's disease Electroencephalography Feature fusion Functional near-infrared spectroscopy Machine-learning
DOI	10.1109/ICIP51287.2024.10647918
기관	GIST

AI-assisted high density near-infrared spectroscopy system for cerebral oxygen saturation measurement fNIRS 2024 - VIII Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), 영국, 2024-09-11 ~ 2024-09-15

AI-assisted high density near-infrared spectroscopy system for cerebral oxygen saturation measurement
YU, SEONGKWON ; Kim, Jaemyoung ; Tae Jung Kim ; Sang-Bae Ko ; Bae, Hyeon-Min

초록
학술대회명	fNIRS 2024 - VIII Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS)
개최국	영국
개최장소
개최일	2024-09-15
저자 키워드
DOI
기관	KAIST

Classifying the Prefrontal Cortex Reasoning Process Using CLEVR Cognitive Tasks fNIRS 2024 - VIII Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS), 영국, 2024-09-11 ~ 2024-09-15

Classifying the Prefrontal Cortex Reasoning Process Using CLEVR Cognitive Tasks
Koh, Bumjun ; Kim, Sangseong ; Park, Byungju ; YU, SEONGKWON ; Liang, Yuqing ; Bae, Hyeon-Min

초록
학술대회명	fNIRS 2024 - VIII Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS)
개최국	영국
개최장소
개최일	2024-09-14
저자 키워드
DOI
기관	KAIST

연구장비

1-1 out of 1 results

[] 생체신호처리장치 / Functional Near Infrared Spectroscopy Model1000, Biopac, 대구경북과학기술원 3연구동 본관동 403호 전산실 대구 달성군 현풍면 테크노중앙대로 333 (상리) 7동 716호 [DGIST : D-HUB]