15 research outputs found
์๋ฉด ํธํก์์ ์ด์ฉํ ํ์์ฑ ์๋ฉด ๋ฌดํธํก ์ค์ฆ๋ ๋ถ๋ฅ
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ)-- ์์ธ๋ํ๊ต ์ตํฉ๊ณผํ๊ธฐ์ ๋ํ์ ์ตํฉ๊ณผํ๋ถ, 2017. 8. ์ด๊ต๊ตฌ.Obstructive sleep apnea (OSA) is a common sleep disorder. The symptom has a high prevalence and increases mortality as a risk factor for hypertension and stroke. Sleep disorders occur during sleep, making it difficult for patients to self-perceive themselves, and the actual diagnosis rate is low. Despite the existence of a standard sleep study called a polysomnography (PSG), it is difficult to diagnose the sleep disorders due to complicated test procedures and high medical cost burdens. Therefore, there is an increasing demand for an effective and rational screening test that can determine whether or not to undergo a PSG. In this thesis, we conducted three studies to classify the snoring sounds and OSA severity using only breathing sounds during sleep without additional biosensors. We first identified the classification possibility of snoring sounds related to sleep disorders using the features based on the cyclostationary analysis. Then, we classified the patients OSA severity with the features extracted using temporal and cyclostationary analysis from long-term sleep breathing sounds. Finally, the partial sleep sound extraction, and feature learning process using a convolutional neural network (CNN, or ConvNet) were applied to improve the efficiency and performance of previous snoring sound and OSA severity classification tasks. The sleep breathing sound analysis method using a CNN showed superior classification accuracy of more than 80% (average area under curve > 0.8) in multiclass snoring sounds and OSA severity classification tasks. The proposed analysis and classification method is expected to be used as a screening tool for improving the efficiency of PSG in the future customized healthcare service.Chapter 1. Introduction ................................ .......................1
1.1 Personal healthcare in sleep ................................ ..............1
1.2 Existing approaches and limitations ....................................... 9
1.3 Clinical information related to SRBD ................................ .. ..12
1.4 Study objectives ................................ .........................16
Chapter 2. Overview of Sleep Research using Sleep Breathing Sounds ........... 23
2.1 Previous goals of studies ................................ ................23
2.2 Recording environments and related configurations ........................ 24
2.3 Sleep breathing sound analysis ................................ ...........27
2.4 Sleep breathing sound classification ..................................... 35
2.5 Current limitations ................................ ......................36
Chapter 3. Multiple SRDB-related Snoring Sound Classification .................39
3.1 Introduction ................................ .............................39
3.2 System architecture ................................ ......................41
3.3 Evaluation ................................ ...............................52
3.4 Results ................................ ..................................55
3.5 Discussion ................................ ...............................59
3.6 Summary ................................ ..................................63
Chapter 4. Patients OSA Severity Classification .............................65
4.1 Introduction ................................ .............................65
4.2 Existing Approaches ................................ ......................69
4.3 System Architecture ................................ ......................70
4.4 Evaluation ................................ ...............................85
4.5 Results ................................ ..................................87
4.6 Discussion ................................ ...............................94
4.7 Summary ................................ ..................................97
Chapter 5. Patient OSA Severity Prediction using Deep Learning Techniques .....99
5.1 Introduction ................................ .............................99
5.2 Methods ................................ ..................................101
5.3 Results ................................ ..................................109
5.4 Discussion ................................ ...............................115
5.5 Summary ................................ ..................................118
Chapter 6. Conclusions and Future Work ........................................120
6.1 Conclusions ................................ ..............................120
6.2 Future work ................................ ..............................127Docto
์ด๋ฆฐ์ถฉ๋จ 7ํธ-[์ ์ฑ ์ ์ธ]๋์ ยท์ถฉ๋จ์ง์ญ ์ง๋ฐฉ์ํ์ ๊ฒฝ์๋ ฅ ๊ฐํ๋ฐฉ์
โ
. ๋จธ๋ฆฌ๋ง
1967๋
๋ถ์ฐ์ํ๊ณผ ๋๊ตฌ์ํ์ ์ค๋ฆฝ์ ์์์ผ๋ก ์ง์ญ๊ฒฝ์ ์ ๋ฐ์ ์ ์ํ ์๊ธ๊ณต๊ธ ๋ฐ ์ง์ญ์ ๊ธ์ต ์ค๊ฐ๊ธฐ๋ฅ ๊ฐํ๋ฅผ ๋ชฉํ๋ก ์ ๊ตญ ๊ฐ ์๋์ ์ค๋ฆฝ๋ ๋ชจ๋ 10๊ฐ์ ์ง๋ฐฉ์ํ์ 1970๋
๋ ์ด๋ ๊ด๋ชฉํ ๋งํ ์ฑ์ฅ์ ์ด๋ฃจ์ด ์๋ค. ์ด๋ฌํ ์ง๋ฐฉ์ํ์ ๊ทธ ๋์์ ๋น ๋ฅธ ์ฑ์ฅ ์์์ ์์ค์ํ๋ณด๋ค ๋์ ์์ต์ฑ์ ์ ์งํ์ฌ ์จ๋ฐ ๋ํด ์ฃผ๋ชฉ์ ๋ฐ๊ณ ์๋ค. ๊ทธ๋ฌ๋ ์ง์ญ์ ์ ํ ๋ฐ ์ค์๊ธฐ์
๋์ถ์์ฃผ์ ์์
์ ์ฝ๊ณผ ์ด์ ๋ํ ๋ณด์์กฐ์น๋ก์ ๏คๅฉ๋ฉด์ ์ฐ๋๋ผ๋ ํ ์์์ ์ฑ์ฅํด ์จ ์ง๋ฐฉ์ํ์ด ๊ณผ์ฐ ๋ณํ๋๊ณ ์๋ ๊ธ์ตํ๊ฒฝ ํ์์๋ ๊ณผ๊ฑฐ์ ์ฑ์ฅ์ถ์ธ๋ฅผ ์ ์งํ ์ ์์ ๊ฒ์ธ๊ฐ์ ๋ํด์๋ ์๋ฌธ์ ์ฌ์ง๊ฐ ์๋ค๊ณ ํ ์ ์๋ค.
-์ดํ ์๋ต1. ๋จธ๋ฆฌ๋ง
2. ๋์ ยท์ถฉ๋จ์ง์ญ ์ง๋ฐฉ์ํ์ ํํฉ
3. ๋์ ยท์ถฉ๋จ ์ง์ญ๊ธ์ต์ ๋ฌธ์ ์ ๊ฐ์ ์ฑ
4. ๋์ ยท์ถฉ๋จ์ง์ญ ์ง๋ฐฉ์ํ์ ๋ฐ์ ๋ฐฉํฅ
5. ๋์ ยท์ถฉ๋จ์ง์ญ ์ง๋ฐฉ์ํ์ ๊ฒฝ์๋ ฅ ๊ฐํ๋ฐฉ์
6. ๋งบ๋
์ด๋ฆฐ์ถฉ๋จ 7ํธ-[ํตํฉ๋ณธ]์ด๋ฆฐ์ถฉ๋จ 7ํธ (1997, ๋ด)
[ํน์ง]์ถฉ๋จ๋์
์ VISION๊ณผ ๋์์ ๋ต
์ถฉ๋จ๋์
์ ์ด์ ์ ์ค๋ _ ์ด์ข
์
โ
. ์๋ก
์ต๊ทผ ์๋
๊ฐ ํ๊ตญ๋์
์ ๊ตญ๋ด์ธ์ ์ผ๋ก ๋ง์ ๋ณํ๋ฅผ ๊ฒช์ด ์๋ค.
-์ดํ ์๋ต
[์ ์ฑ
์ ์ธ]
๋์ ยท์ถฉ๋จ์ง์ญ ์ง๋ฐฉ์ํ์ ๊ฒฝ์๋ ฅ ๊ฐํ๋ฐฉ์ _ ๊น์ฌํ
โ
. ๋จธ๋ฆฌ๋ง
1967๋
๋ถ์ฐ์ํ๊ณผ ๋๊ตฌ์ํ์ ์ค๋ฆฝ์ ์์์ผ๋ก ์ง์ญ๊ฒฝ์ ์ ๋ฐ์ ์ ์ํ ์๊ธ๊ณต๊ธ ๋ฐ ์ง์ญ์ ๊ธ์ต ์ค๊ฐ๊ธฐ๋ฅ ๊ฐํ๋ฅผ ๋ชฉํ๋ก ์ ๊ตญ ๊ฐ ์๋์ ์ค๋ฆฝ๋ ๋ชจ๋ 10๊ฐ์ ์ง๋ฐฉ์ํ์ 1970๋
์ด๋ ๊ด๋ชฉํ ๋งํ ์ฑ์ฅ์ ์ด๋ฃจ์ด ์๋ค.
-์ดํ ์๋ต
[์์ฌ์นผ๋ผ]์ถฉ๋จ๋์ ์ ์ ๊ฐ๋ฐฉํฅ _ ๋จ๊ถ์
โ
. ์ถ์ง๋ฐฐ๊ฒฝ
์ง๋ 94๋
, UR์ด ํ๊ฒฐ๋๊ณ WTO์ ์ ๊ตญ์ ๊ฒฝ์์ฌํ๊ฐ ์ด๋ฆฌ๋ฉด์ ์ฐ๋ฆฌ ๋์
์ ๋ํ ๊ฑฑ์ ์ ์๋ฆฌ์ ์ฐ๋ฆฌ ๋๋ฏผ๋ค์ ์๋ ์ ๋ํ ๋ถ์๊ฐ์ด ์ต๊ณ ์กฐ์ ๋ฌํ๋ค.
-์ดํ ์๋ต
[์ฐ๊ตฌ์์์]์ฐ๊ตฌ์์ฌ์
์ฐ๊ตฌ์ ์๋ฌด์
ไธไธๅนด ํ ํด๋ฅผ ์๋กญ๊ฒ ์์ํ๋ใ97๋
๋ ์๋ฌด์ใ์ด ์ง๋ 1์ 3์ผ(๏ค) ์ค์ 10์ ์์น์ฃผ ์์ฅ์ ๋น๋กฏํ ์ ์ง์์ด ์ฐธ์ํ ๊ฐ์ด๋ฐ ๋ณธ์ ํ์์ค์์ ๊ฐ์ต๋์๋ค.
-์ดํ ์๋ต[ํน์ง]์ถฉ๋จ๋์
์ VISION๊ณผ ๋์์ ๋ต
์ถฉ๋จ๋์
์ ์ด์ ์ ์ค๋ _ ์ด์ข
์
21์ธ๊ธฐ ํ๊ตญ๋์
์ ๋ฐ์ ์ ๋ต๊ณผ ๋ฏธ๋๋ชจ์ต _ ์กฐ์ฌํ
๊ฐ๋ฐฉํ ์๋์ ์์ด์ ์ถฉ๋จ๋์
์ ๋์์ ๋ต _ ์ต๋ณ์ต
๋์ฐ๋ฌผ ์ ํต๊ตฌ์กฐ ๊ฐ์ ๋ฐฉ์ _ ์ ํํธ
[์ ์ฑ
์ ์ธ]
๋์ ยท์ถฉ๋จ์ง์ญ ์ง๋ฐฉ์ํ์ ๊ฒฝ์๋ ฅ ๊ฐํ๋ฐฉ์ _ ๊น์ฌํ
์์ฐ๊ธฐ์ง ๋ฏผํญ์ทจํญ๊ณผ ์ง์ญ์ฌํ ํ๊ธํจ๊ณผ _ ์ด์ธ๋ฐฐ
[์์ฌ์นผ๋ผ]์ถฉ๋จ๋์ ์ ์ ๊ฐ๋ฐฉํฅ _ ๋จ๊ถ์
[์ฐ๊ตฌ์์์]์ฐ๊ตฌ์์ฌ์
ยท์์ฅ๋์ ยท์ฐ๊ตฌ์ํ
Application of perylene dyes for low dielectric hybrid-type black matrices
Two perylene dyes having different absorption ranges were synthesized for an application in liquid crystal display black matrix. Hybrid-type and dye only-type black matrices were fabricated using the synthesized dyes and carbon black. Among the fabricated films, the hybrid-type film, which contained the same weight ratio of the dyes and carbon black showed high thermal and optical properties and had a low dielectric constant. Additionally, the surface of the film had low root-mean-squared roughness (Rq) value and was sufficiently flat in comparison to the film containing different chromophores that showed self-aggregation of the dyes described in previous research. (C) 2018 Published by Elsevier B.V. on behalf of The Korean Society of Industrial and Engineering Chemistry.OAIID:RECH_ACHV_DSTSH_NO:T201824097RECH_ACHV_FG:RR00200001ADJUST_YN:EMP_ID:A001061CITE_RATE:4.179DEPT_NM:์ฌ๋ฃ๊ณตํ๋ถEMAIL:[email protected]_YN:YN
Improving nanoparticle dispersions of pigment and its application to a color filter: New phthalocyanine derivatives as synergist
Four synergists were synthesized to enhance pigment nanoparticles dispersion and the contrast ratio. The interaction between the synergist and the dispersant was confirmed by infra-red (IR) spectrometry. We demonstrate that the hydrogen bonds forming between the synergist and the dispersant act as a key factor. To analyze the dispersion properties, dynamic light scattering (DLS), and electron microscopic analysis was examined. The spectral and color characteristics was also measured by UV-vis spectrometry and colorimetry, and the contrast ratio of color filters was evaluated. This study confirms that the prepared synergist can increase the contrast ratio of green color filter. (C) 2017 The Korean Society of industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.OAIID:RECH_ACHV_DSTSH_NO:T201824087RECH_ACHV_FG:RR00200001ADJUST_YN:EMP_ID:A001061CITE_RATE:4.179DEPT_NM:์ฌ๋ฃ๊ณตํ๋ถEMAIL:[email protected]_YN:YN
Aryloxy- and chloro-substituted zinc(II) phthalocyanine dyes: Synthesis, characterization, and application for reducing the thickness of color filters
In the development of display devices, a color filter is still considered an indispensable component. For a thinner display panel, the thickness of the color filter also needs to be decreased. However, if the thickness of the color filter is reduced, the color properties, including the color purity and color gamut are simultaneously diminished. Therefore, introduction of new colorants is needed to lower the thickness without diminishing the color performance. In this study, four phthalocyanine green dyes were synthesized for use in color filters. The molecular geometry and absorption properties were predicted by density functional theory (DFT) and time-dependent DFT, and UV-Vis spectroscopy was employed to measure the optical properties. The thermal stabilities of the dyes were examined by thermogravimetric analysis. A dye with suitable solubility and color properties was adopted in the color filter, and the optical properties and thickness of the dye-based color filter were compared to those of the pigment-based color filter. The chromatic performance and thickness of the color filter were determined by color spectrometry and Alpha step, respectively. Finally, we confirmed that the dye could enable the decrease in the thickness of the filter and provide a superior color property.OAIID:RECH_ACHV_DSTSH_NO:T201824103RECH_ACHV_FG:RR00200001ADJUST_YN:EMP_ID:A001061CITE_RATE:3.767DEPT_NM:์ฌ๋ฃ๊ณตํ๋ถEMAIL:[email protected]_YN:YN
Effect of weakly coordinating anions on photo-stability enhancement of basic dyes in organic solvents
Weakly coordinating anions (WCAs) offer two succinct advantages when they are introduced as counter anions in a dye. First, replacing strong electrostatic attraction between a cationic dye and its counter anion with the relatively weak electrostatic attraction from a WCA can improve photo-stability of the dye due to charge distribution. Second, the steric hindrance due to the WCAs forms a spatial obstacle between the unstable charged site of the cationic dye and an external element that may degrade the dye. In this study, WCAs are introduced as counter anions in basic dyes to improve their photostability. Basic Yellow 1, Rhodamine 6G, and Rhodamine B were selected as dyes due to their particularly low photostabilities among cationic dyes. Three WCAs were investigated, where two were composed of anions surrounded by fluorine moieties (hexafluorophosphate and bis(trifluoromethane)sulfonimide), and one is surrounded by oxygen moieties (bis(oxalate)borate) Upon dissolving these dyes in three different organic solvents (Chloroform, Methylene Chloride, and Dimethylformamide), the photostabilities of almost all the WCA-substituted dyes were comparatively improved. The photo-stability of each WCA-substituted dye was especially improved in low polarity solvents and the bis(trifluoromethane)sulfonamide-basic dye pairs showed the highest photo-stabilities among four anion-dye pairs including the unsubstituted dyes.OAIID:RECH_ACHV_DSTSH_NO:T201824118RECH_ACHV_FG:RR00200001ADJUST_YN:EMP_ID:A001061CITE_RATE:3.767DEPT_NM:์ฌ๋ฃ๊ณตํ๋ถEMAIL:[email protected]_YN:YN