• 디지털정책학회지
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• 제1권2호
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• pp.61-69
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• 2022

논문은 광용적맥파(photoplethysmography, PPG) 센서에서 획득한 생체 신호, ICT 기술 및 데이터 기반의 혈당수치 예측 모델을 개발하고 검증하는 연구이다. 혈당 예측은 기계학습의 MLP 아키텍처를 이용하였다. 기계학습 모델의 입력층은 심박수, 심박변이도, 나이, 성별, VLF, LF, HF, SDNN, RMSSD, PNN50의 10개의 입력노드와 은닉층은 5개로 구성된다. 예측모델의 결과는 MSE=0.0724, MAE=1.1022 및 RMSE=1.0285이며, 결정계수(R²)는 0.9985이다. 비채혈방식으로 디지털기기에서 수집한 생체신호 데이터와 기계학습을 활용한 혈당 예측 모델을 수립하고 검증하였다. 일상에 적용하기 위해 다양한 디지털 기기의 기계학습 데이터셋 표준화와 정확성을 높이는 연구가 이어진다면 개인의 혈당 관리에 대안적 방법이 될 수 있을 것이다.

• 디지털융복합연구
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• 제19권9호
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• pp.257-269
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• 2021

논문은 심탄도(BCG, Ballistocardiogram) 센서를 이용하여 생체신호 데이터를 비침습, 무구속적인 방식으로 수집하고, ICT 기술과 고성능 컴퓨팅 환경에서 인공지능 기계학습 알고리즘을 활용하여 데이터 기반 혈당 예측 알고리즘 모델 개발 및 검증하는 방법을 제시하고 연구하는 것이다. 혈당수치 예측모델은 MLP 아키텍처에 입력노드는 심박수, 호흡수, 심박출량, 심박변이도, SDNN, RMSSD, PNN50, 나이, 성별이며, 은닉층 7개를 사용하였다. 실험 결과는 5회 실험한 학습데이터의 평균 MSE, MAE 및 RMSE 값은 각각 0.5226, 0.6328 및 0.7692이며 검증데이터 평균 값은 각각 0.5408, 0.6776, 0.7968이었으며, 결정계수(R2) 수치는 0.9997의 결과를 보였다. 데이터를 기반으로 한 혈당수치를 예측하는 모델을 표준화하고 데이터셋 수집과 예측 정확성을 검증하는 연구가 계속적으로 진행된다면 비침습 방식의 혈당 수준 관리에 활용될 수 있을 것으로 사료된다.

• 대한임상독성학회지
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• 제13권2호
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• pp.55-61
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• 2015

Purpose: Many studies have examined the mechanisms of impaired glucose homeostasis after organophosphate (OP) exposure, however no study has evaluated the clinical utility of blood glucose measurements in patients with OP poisoning. The current study was conducted to evaluate the initial glucose level at presentation and the glycemic variables during the first 3 days after admission as a predictor of mortality. Methods: This retrospective observational case series included 228 patients with a history of OP poisoning. Among other clinical data, information on the initial glucose level at presentation and mean glucose level, delta glucose level, and the presence of a hypoglycemic event during the first 3 days of admission, was collected. Results: Survivors had lower initial glucose levels at presentation and glucose variability during the first 3 days of admission compared to non-survivors. The frequency of hypoglycemic events was higher in non-survivors. In multivariate analysis, the initial glucose level (> 233 mg/dl) was an independent predictor of mortality, along with age. Conclusion: The initial glucose level at presentation can be helpful in prediction of mortality in cases of OP intoxication at bedside. The physician should pay attention to patients with a glucose level >233 mg/dl at presentation after ingestion of OP.

• 디지털융복합연구
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• 제21권3호
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• pp.33-39
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• 2023

본 연구는 모세관 혈당의 혈당값을 대조군으로 연구 참가자의 혈액 포도당을 모니티링할 때 PPG 센서와 DNN 예측알고리즘이 융합된 혈당모니터링 시스템(PPG-BGMS)의 성능을 평가하는 것이다. 연구는 2023년 9월부터 2023년 11월까지 참가자를 대상으로 실시된 연구자 임상시험이다. PPG-BGMS는 1분간의 심박수, 심박변이도 정보와 DNN 예측알고리즘을 활용한 예측된 혈당수치와 개인용혈당관리시스템의 혈당측정기로 측정한 모세관혈당 수치와 비교했다. 총 100명의 참가자 중 제2형 당뇨(T2DM) 유병인은 50명이며, 평균연령은 67세(28세~89세)이다. PPG-BGMS의 예측혈당의 100%가 Clarke 오류그리드 및 Parker(Consensus) 오류그리드의 A+B 영역에 분포하는 것으로 나타났다. PPG-BGMS 예측 혈당의 MARD 값은 5.3 ± 4.0 %이다. 결과에 의하면 비채혈식 PPG-BGMS는 임상표준의 채혈식 개인용 혈당측정시스템의 순간 혈당수치와 비교하여 열등하지 않는 것으로 분석되었다.

• Annals of Clinical Neurophysiology
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• 제16권2호
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• pp.55-61
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• 2014

Background: Viruses can cause either meningitis or encephalitis. It is unclear why some people suffer from aseptic meningitis, and others acquire aseptic encephalitis when infected with the same viral pathogens. The aim of this study was to compare demographic and laboratory factors between patients with aseptic meningitis and encephalitis. Methods: The demographic and laboratory differences were analyzed according to age, sex, diabetes, hypertension, C-reactive protein in the blood, white blood cell and protein in the cerebrospinal fluid, and glucose ratio (cerebrospinal fluid/blood). Additionally, we analyzed the nation-wide differencesin age between the patients with aseptic meningitis and those with encephalitis in Korea. Results: The patients with aseptic encephalitis were older, more likely to have hypertension, and had higher levels of C-reactive protein than did the patients with aseptic meningitis. However, the numbers of white blood cells in the cerebrospinal fluid were significantly higher in the patients with meningitis than in the patients with encephalitis. Multivariable analysis revealed that age >49 years, hypertension and a C-reactive protein level >5.81 mg/dL were independent and significant variables in the prediction of aseptic encephalitis. Additionally, the patients with aseptic encephalitis were older than those with aseptic meningitis in the nation-wide Korean database. Conclusions: Older age, hypertension, and higher levels of C-reactive protein are useful factors for the prediction of aseptic encephalitis.

• 한국동물위생학회지
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• 제38권3호
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• pp.155-162
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• 2015

The incidence of second-grade milk production in 9 dairy farms of South Korea was investigated from May 2011 to March 2012, and the serum composition of cows producing first- and second-grade milk in 14 farms including the 9 farms was analyzed. The incidence rate of second-grade milk production of 402 cows in nine dairy farms located in the central and southwestern regions of Korea was 15.4% with the highest rate being 34.4%. Seasonal morbidity was higher during late winter (February) and early summer (June) with the highest rate observed in February (32.6%) followed by November (33.3%). Second-grade milk was most frequently found within one month postpartum (34.1%) while only 3.5% was found during the first 60~90 days of lactating period (n=785, 5 herds). The morbidity increased thereafter (P<0.05) with the highest observed between 270~300 days of lactation (36.1%). The acidity was not significantly different between second-grade ($0.159{\pm}0.026%$) and first-grade milk ($0.158{\pm}0.027%$). Blood serum analysis of 371 cows in the 14 dairy farms indicated that aspartate aminotransferase (AST) level was significantly higher (P<0.001) in cows producing second-grade milk while albumin was significantly lower (P<0.001) than cows producing first-grade milk. Total protein and triglyceride was also significantly low along with glucose, non-esterified fatty acid and blood urea nitrogen in cows producing second-grade milk. Statistical analysis including sensitivity, specificity and positive/negative prediction values showed that lactating cows with high AST, low albumin, total protein and triglyceride levels in the serum tended to produce second-grade milk. It was concluded that serological parameters, especially live functional and metabolic-related serum compositions (AST, albumin, total protein and triglyceride), were significantly influenced in cows producing second-grade milk.

• Asian-Australasian Journal of Animal Sciences
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• 제28권6호
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• pp.870-875
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• 2015

The purpose of this study was to investigate the alternative splicing in equine cordon-bleu WH2 repeat protein-like 1 (COBLL1) gene that was identified in horse muscle and blood leukocytes, and to predict functional consequences of alternative splicing by bioinformatics analysis. In a previous study, RNA-seq analysis predicted the presence of alternative spliced isoforms of equine COBLL1, namely COBLL1a as a long form and COBLL1b as a short form. In this study, we validated two isoforms of COBLL1 transcripts in horse tissues by the real-time polymerase chain reaction, and cloned them for Sanger sequencing. The sequencing results showed that the alternative splicing occurs at exon 9. Prediction of protein structure of these isoforms revealed three putative phosphorylation sites at the amino acid sequences encoded in exon 9, which is deleted in COBLL1b. In expression analysis, it was found that COBLL1b was expressed ubiquitously and equivalently in all the analyzed tissues, whereas COBLL1a showed strong expression in kidney, spinal cord and lung, moderate expression in heart and skeletal muscle, and low expression in thyroid and colon. In muscle, both COBLL1a and COBLL1b expression decreased after exercise. It is assumed that the regulation of COBLL1 expression may be important for regulating glucose level or switching of energy source, possibly through an insulin signaling pathway, in muscle after exercise. Further study is warranted to reveal the functional importance of COBLL1 on athletic performance in race horses.