• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권2호
• /
• pp.500-521
• /
• 2021

Echocardiography, an ultrasound scan of the heart, is regarded as the primary physiological test for heart disease diagnoses. How an echocardiogram is interpreted also relies intensively on the determination of the view. Some of such views are identified as standard views because of the presentation and ease of the evaluations of the major cardiac structures of them. However, finding valid cardiac views has traditionally been time-consuming, and a laborious process because medical imaging is interpreted manually by the specialist. Therefore, this study aims to speed up the diagnosis process and reduce diagnostic error by providing an automated identification of standard cardiac views based on deep learning technology. More importantly, based on a brand-new echocardiogram dataset of the Asian race, our research considers and assesses some new neural network architectures driven by action recognition in video. Finally, the research concludes and verifies that these methods aggregating dynamic information will receive a stronger classification effect.

• 대한의용생체공학회:의공학회지
• /
• 제42권5호
• /
• pp.232-240
• /
• 2021

Heterogeneity in cancer is the major obstacle for precision medicine and has become a critical issue in the field of a cancer diagnosis. Many attempts were made to disentangle the complexity by molecular classification. However, multi-dimensional information from dynamic responses of cancer poses fundamental limitations on biomolecular marker-based conventional approaches. Cell morphology, which reflects the physiological state of the cell, can be used to track the temporal behavior of cancer cells conveniently. Here, we first present a hybrid learning-based platform that extracts cell morphology in a time-dependent manner using a deep convolutional neural network to incorporate multivariate data. Feature selection from more than 200 morphological features is conducted, which filters out less significant variables to enhance interpretation. Our platform then performs unsupervised clustering to unveil dynamic behavior patterns hidden from a high-dimensional dataset. As a result, we visualize morphology state-space by two-dimensional embedding as well as representative morphology clusters and trajectories. This cell morphology profiling strategy by hybrid learning enables simplification of the heterogeneous population of cancer.

• Journal of applied mathematics & informatics
• /
• 제41권6호
• /
• pp.1257-1274
• /
• 2023

Rotating machines heavily rely on an intricate network of interconnected sub-components, with bearing failures accounting for a substantial proportion (40% to 90%) of all such failures. To address this issue, intelligent algorithms have been developed to evaluate vibrational signals and accurately detect faults, thereby reducing the reliance on expert knowledge and lowering maintenance costs. Within the field of machine learning, Artificial Immune Systems (AIS) have exhibited notable potential, with applications ranging from malware detection in computer systems to fault detection in bearings, which is the primary focus of this study. In pursuit of this objective, we propose a novel procedure for detecting novel instances of anomalies in varying operating conditions, utilizing only the signals derived from the healthy state of the analyzed machine. Our approach incorporates AIS augmented by Dynamic Time Warping (DTW). The experimental outcomes demonstrate that the AIS-DTW method yields a considerable improvement in anomaly detection rates (up to 53.83%) compared to the conventional AIS. In summary, our findings indicate that our method represents a significant advancement in enhancing the resilience of AIS-based novelty detection, thereby bolstering the reliability of rotating machines and reducing the need for expertise in bearing fault detection.

• Asian Pacific Journal of Cancer Prevention
• /
• 제16권9호
• /
• pp.3595-3604
• /
• 2015

Hepatocellular carcinoma (HCC) has been one of the most fatal malignant tumors worldwide and its associated morbidity and mortality remain of significant concern. Based on in-depth reviews of serological diagnosis of HCC, in addition to AFP, there are other biomarkers: Lens culinaris agglutinin-reactive AFP (AFP-L3), descarboxyprothrombin (DCP), tyrosine kinase with Ig and eprdermal growth factor (EGF) homology domains 2 (TIE2)-espressing monocytes (TEMs), glypican-3 (GPC3), Golgi protein 73 (GP73), interleukin-6 (IL-6), and squamous cell carcinoma antigen (SCCA) have been proposed as biomarkers for the early detection of HCC. The diagnosis of HCC is primarily based on noninvasive standard imaging methods, such as ultrasound (US), dynamic multiphasic multidetector-row CT (MDCT) and magnetic resonance imaging (MRI). Some experts advocate gadolinium diethyl-enetriamine pentaacetic acid (Gd-EOB-DTPA) MRI and contrast-enhanced US as the promising imaging madalities of choice. With regard to recent advancements in tissue markers, many cuting-edge technologies using genome-wide DNA microarrays, qRT-PCR, and proteomic and inmunostaining studies have been implemented in an attempt to identify markers for early diagnosis of HCC. Only less than half of HCC patients at initial diagnosis are at an early stage treatable with curative options: local ablation, surgical resection, or liver transplant. Transarterial chemoembolization (TACE) is considered the standard of care with palliation for intermediate stage HCC. Recent innovative procedures using drug-eluting-beads and radioembolization using Yttrium-90 may exhibit beneficial effects in HCC treatment. During the past few years, several molecular targeted agents have been evaluated in clinical trials in advanced HCC. Sorafenib is currently the only approved systemic treatment for HCC. It has been approved for the therapy of asymptomatic HCC patients with well-preserved liver function who are not candidates for potentially curative treatments, such as surgical resection or liver transplantation. In the USA, Europe and particularly Japan, hepatitis C virus (HCV) related HCC accounts for most liver cancer, as compared with Asia-Pacific regions, where hepatitis B virus (HBV) may play a more important role in HCC development. HBV vaccination, while a vaccine is not yet available against HCV, has been recognized as a best primary prevention method for HBV-related HCC, although in patients already infected with HBV or HCV, secondary prevention with antiviral therapy is still a reasonable strategy. In addition to HBV and HCV, attention should be paid to other relevant HCC risk factors, including nonalcoholic fatty liver disease due to obesity and diabetes, heavy alcohol consumption, and prolonged aflatoxin exposure. Interestingly, coffee and vitamin K2 have been proven to provide protective effects against HCC. Regarding tertiary prevention of HCC recurrence after surgical resection, addition of antiviral treatment has proven to be a rational strategy.

• 대한물리의학회지
• /
• 제8권4호
• /
• pp.609-617
• /
• 2013

PURPOSE: This study aims to provide effects of therapeutic techniques as well as basic materials of safety by comparing and analyzing the effects of hamstring flexibility and dynamic stability of lower lumbar according to Stretching and Massage Techniques to adults with reduced the flexibility of hamstring. METHODS: This study conducted differential diagnosis through sit and reach test(SRT) and Schober test to select subjects who have shortened hamstring without any spinal problem. Selected subjects were divided into two groups randomly; HSG(Hamstring Stretching Group, n=8) and HMG(Hamstring Massage Group, n=8) and they received treatment for 2 weeks. To take statistics, SRT and dynamic view using x-ray were used. RESULTS: On SRT, HSG and HMG showed significant difference between pre and post test. A comparison of the difference value between HSG and HMG, HSG($9.73{\pm}1.78$) has more remarkable outcome than HMG($2.78{\pm}0.56$). Lower lumbar intervertebral disc length test for Intervertebral disc length(IDL)L45 and IDLL5S1 did not show significant differences between two groups and difference value. CONCLUSION: This study showed that stretching is more effective to improve hamstring flexibility than massage technique. Especially, flexibility increase of the hamstring in vertebral stabilization cannot affect improvement possibility will make a flexibility in order and the intervention and stabilization exercise of the spine.

• Structural Engineering and Mechanics
• /
• 제72권6호
• /
• pp.689-712
• /
• 2019

Time-series models like AR-ARX and ARMAX, provide a robust way to capture the dynamic properties of structures, and their residuals can be effectively used as features for damage detection. Even though several research papers discuss the implementation of AR-ARX and ARMAX models for damage diagnosis, they are basically been exploited so far for detecting the time instant of damage and also the spatial location of the damage. However, the inverse problem associated with damage quantification i.e. extent of damage using time series models is not been reported in the literature. In this paper, an approach to detect the extent of damage by combining the ARMAX model by formulating the inverse problem as a multi-constrained optimization problem and solving using a newly developed hybrid adaptive differential search with dynamic interaction is presented. The proposed variant of the differential search technique employs small multiple populations which perform the search independently and exchange the information with the dynamic neighborhood. The adaptive features and local search ability features are built into the algorithm in order to improve the convergence characteristics and also the overall performance of the technique. The multi-constrained optimization formulations of the inverse problem, associated with damage quantification using time series models, attempted here for the first time, can considerably improve the robustness of the search process. Numerical simulation studies have been carried out by considering three numerical examples to demonstrate the effectiveness of the proposed technique in robustly identifying the extent of the damage. Issues related to modeling errors and also measurement noise are also addressed in this paper.

• 대한의용생체공학회:학술대회논문집
• /
• 대한의용생체공학회 1998년도 추계학술대회
• /
• pp.281-282
• /
• 1998

Recently, there has been growing interest in the assessment of physiological parameters on brain perfusion that provide more information than pure morphologic diagnosis. Quantification of parameters that characterize cerebral micro-circulation with magnetic resonance imaging is of great relevance for clinical application. We determine the local tissue concentration by exponential relationship between the relative signal reduction S(t)/$S_0$ and local tissue concentration of contrast material $C_m(t)$ in dynamic susceptibility contrast enhanced MR imaging. And then we made relative regional blood volume map by calculating the area under the measured concentration-time curves $C_m(t)$ during first pass of paramagnetic contrast material as a preliminary step for perfusion map. These images make it possible to compare the rCBV in different brain regions in one individual at a time. We have it in contemplation to obtain arterial and brain signal time curves simultaneously to make absolute rCBV and perfusion (rCBF) map. These maps may provide the method of comparative investigations of different patients having strong variation in AIF.

• 한국임상수의학회지
• /
• 제32권2호
• /
• pp.200-204
• /
• 2015

12년령 중성화 수컷 시추가 변비와 배변곤란 증상으로 내원하였다. 방사선 사진상 결장이 팽대되어 있으며 천추 수준에서 연부조직밀도의 종괴가 결장을 복측으로 압박하는 것이 관찰되었다. 컴퓨터 단층촬영상 종괴는 균일한 연부조직 정도의 감약성을 보이며 변연이 뚜렷하고 전이소견을 보이지 않았다. 동적 컴퓨터 단층촬영상 종괴는 촬영간 지속적인 낮은 조영증강을 보였으며 관류성 및 모세혈관 투과성은 둔부근육과 비교하여 낮은 것으로 평가되었다. 영상진단학적 검사상 종괴는 신생혈관 발달이 약한 골반강 내 양성 종양으로 잠정진단되었다. 종괴는 둔성분리를 통한 외과적 절제로 제거되었으며 조직검사결과 평활근종으로 진단되었다.

• 전자공학회논문지S
• /
• 제35S권10호
• /
• pp.64-76
• /
• 1998

본 논문에서 4-구륜 2-자유도 이동 로보트의 체계적인 동적 모델링과 경로설계 및 추적 알고리즘을 제안한다. 실시간에서 이동 로보트의 위치 측정을 위해 관성측정장치중의 3가지 요소를 이용한다. 이러한 장치들은 지구의 회전속도 및 중력가속도 등의 여러 요인으로 인해 초기 오차를 가진다. 그래서 초기오차 모델을 유도하고, 실제 데이터와 유도된 모델의 추정 데이터의 확률적 특성을 분석 ${\cdot}$ 비교하여 적합도를 판정하여 사용한다. 관성측정장치의 동작특성은 오차모델과 칼만 필터와 연계된 경우와 배제된 일반적인 경우와 비교한다. 모의실험 결과들은 제안된 경로설계 및 추적 알고리즘이 기존의 방식과 비교하여 보다 유용함을 입증한다.

• Clinics in Shoulder and Elbow
• /
• 제12권2호
• /
• pp.250-254
• /
• 2009

목적: 주관절 내과 부위의 동통, 탄발 및 동측 수부 척측으로 척골 신경 증상이 있을 때, 주관절 삼두근 탄발 증후군을 의심하는 것이 중요하다. 대상 및 방법: 저자들은 2예의 환자에서 이학적 검사를 통해 주관절 내측에서 2차례의 탄발을 확인한 후 역동적 초음파 검사로 확진 할 수 있다. 결과 및 결론: 주관절 삼두근 탄발 증후군의 수술적 치료는 척골 신경의 탈구에 대해서는 피하 전방 전이술을 시행하며, 삼두근 내측두의 탈구에 대해서 내측두건의 단순 건 절단술로도 우수한 치료 결과를 얻을 수 있었다.