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Implementation and Evaluation of Abnormal ECG Detection Algorithm Using DTW Minimum Accumulation Distance (DTW 최소누적거리를 이용한 심전도 이상 검출 알고리즘 구현 및 평가)

  • Noh, Yun-Hong;Lee, Young-Dong;Jeong, Do-Un
    • Journal of Sensor Science and Technology
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    • v.21 no.1
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    • pp.39-45
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    • 2012
  • Recently the convergence of healthcare technology is used for daily life healthcare monitoring. Cardiac arrhythmia is presented by the state of the heart irregularity. Abnormal heart's electrical signal pathway or heart's tissue disorder could be the cause of cardiac arrhythmia. Fatal arrhythmia could put patient's life at risk. Therefore arrhythmia detection is very important. Previous studies on the detection of arrhythmia in various ECG analysis and classification methods had been carried out. In this paper, an ECG signal processing techniques to detect abnormal ECG based on DTW minimum accumulation distance through the template matching for normalized data and variable threshold method for ECG R-peak detection. Signal processing techniques able to determine the occurrence of normal ECG and abnormal ECG. Abnormal ECG detection algorithm using DTW minimum accumulation distance method is performed using MITBIH database for performance evaluation. Experiment result shows the average percentage accuracy of using the propose method for Rpeak detection is 99.63 % and abnormal detection is 99.60 %.

An Effective Orientation-based Method and Parameter Space Discretization for Defined Object Segmentation

  • Nguyen, Huy Hoang;Lee, GueeSang;Kim, SooHyung;Yang, HyungJeong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.12
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    • pp.3180-3199
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    • 2013
  • While non-predefined object segmentation (NDOS) distinguishes an arbitrary self-assumed object from its background, predefined object segmentation (DOS) pre-specifies the target object. In this paper, a new and novel method to segment predefined objects is presented, by globally optimizing an orientation-based objective function that measures the fitness of the object boundary, in a discretized parameter space. A specific object is explicitly described by normalized discrete sets of boundary points and corresponding normal vectors with respect to its plane shape. The orientation factor provides robust distinctness for target objects. By considering the order of transformation elements, and their dependency on the derived over-segmentation outcome, the domain of translations and scales is efficiently discretized. A branch and bound algorithm is used to determine the transformation parameters of a shape model corresponding to a target object in an image. The results tested on the PASCAL dataset show a considerable achievement in solving complex backgrounds and unclear boundary images.

Correlation between Muscular Fatigue and EMG Activity during the Prolonged Casual Computer Work

  • Cho, Won-Hak;Lee, Woo-Yong;Choi, Hyeon-Ki
    • Journal of the Korean Society for Nondestructive Testing
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    • v.29 no.3
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    • pp.224-229
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    • 2009
  • An experimental study was conducted to investigate the effects of turtle neck syndrome, so called, on muscular fatigue and muscle activity. Six subjects (males) participated and performed the prolonged casual computer work in the study. EMG signals from six muscles of the dominant neck-back region were acquired and recorded for 10 seconds at the beginning and the end of three hours computer work. EMG was recorded from six muscles by using a computerized data recording and analysis system. Power spectrum function of EMG was calculated off-line by means of a signal processing software package. Power spectrum functions were smoothed with a moving average filter of 21 points and normalized with respect to the maximal value achieved during the trials. Muscle activity and median frequencies of Sternocleidomastoid(SCM) in turtle neck posture was approximately 51%, which were less than those in normal neck posture. SCM also showed the biggest decrease in median frequency. Results will provide the insight into the neck-back injury mechanism of turtle neck patients. Furthermore, they will be helpful in developing rehabilitation programs for restoring patients' neck-back functions.

Anti-inflammatory Activity of Chihyo-san to Protect Respiratory Tissues from Asthmatic Damage

  • Cho, Ju-Hyung;NamGung, Uk;Kim, Dong-Hee
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.20 no.3
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    • pp.710-718
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    • 2006
  • The present study was carried out to investigate the effect of Chihyo-san (CHS) administration on asthma induced by Alum/OVA treatment in the mice. In CHS-treated animal group, lung weight, which was increased after asthma induction, was significantly decreased, and total number of cells in the lung, peripheral lymph node (PLN) and spleen tissue was significantly decreased in CHS-treated group compared to the asthma control group. The number of immune cells including natural killer (NK) cells in asthmatic animals was largely regulated by CHS treatment, showing a similar pattern as that of CsA-treated positive control group. Levels of mRNAs encoding inflammatory cytokines IL-5, IL-13, $TNF-{\alpha}$, and eotaxin were determined by RT-PCR in the lung tissue and showed decreases in CHS-treated group to the similar levels of CsA-treated control group, Histamine level in the serum was significantly lower in CHS-treated group than asthma-induced control group. Both haematoxylin and eosin staining and Masson's trichrome staining results showed decreased number of inflammatory cells, reduced immune cell infiltration, and normalized epithelial cell layering in the bronchial tissue of CHS-treated mouse group. Thus, the present findings suggest that CHS may be useful for protecting bronchial tissues from consistent inflammatory damages that occur in asthma patients.

Comparative Analysis of the Multispectral Vegetation Indices and the Radar Vegetation Index

  • Kim, Yong-Hyun;Oh, Jae-Hong;Kim, Yong-Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.6
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    • pp.607-615
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    • 2014
  • RVI (Radar Vegetation Index) has shown some promise in the vegetation fields, but its relationship with MVI (Multispectral Vegetation Index) is not known in the context of various land covers. Presented herein is a comparative analysis of the MVI values derived from the LANDSAT-8 and RVI values originating from the RADARSAT-2 quad-polarimetric SAR (Synthetic Aperture Radar) data. Among the various multispectral vegetation indices, NDVI (Normalized Difference Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) were used for comparison with RVI. Four land covers (urban, forest, water, and paddy field) were compared, and the patterns were investigated. The experiment results demonstrated that the RVI patterns of the four land covers are very similar to those of NDVI and SAVI. Thus, during bad weather conditions and at night, the RVI data could serve as an alternative to the MVI data in various application fields.

Establishing Best Power Transmission Path using Receiver Based on the Received Signal Strength

  • Eom, Jeongsook;Son, Heedong;Park, Yongwan
    • Journal of Internet Computing and Services
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    • v.18 no.6
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    • pp.15-23
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    • 2017
  • Wireless power transmission (WPT) for wireless charging is currently attracting much attention as a promising approach to miniaturize batteries and increase the maximum total range of an electric vehicle. The main advantage of the laser power beam (LPB) approach is its high power transmission efficiency (PTE) over long distance. In this paper, we present the design of a laser power beam based WPT system, which has a best WPT channel selection technique at the receiver end when multiple power transmitters and single power receiver are operated simultaneously. The transmitters send their transmission channel information via optically modulated laser pulses. The receiver uses the received signal strength indicator and digitized data to choose an optimum power transmission path. We modeled a vertical multi-junction photovoltaic cell array, and conducted an experiment and simulation to test the feasibility of this system. From the experimental result, the standard deviation between the mathematical model and the measured values of normalized energy distribution is 0.0052. The error between the mathematical model and measured values are acceptable, thus the validity of the model is verified.

Outcome of Patients Undergoing Kasai Procedure for Biliary Atresia: a Study of Those Surviving More Than 10 Years with Their Native Livers (선천성 담도폐쇄증으로 Kasai 수술 후 장기 치료성적(10년 이상 생존자 대상으로))

  • Yim, Byung-Hun;Song, Young-Tack;Chung, Jae-Hee
    • Advances in pediatric surgery
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    • v.14 no.2
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    • pp.125-133
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    • 2008
  • To evaluate the long-term prognosis of biliary atresia after Kasai operation, a total of 14 patients (of the 41 patients operated upon from 1982 to 1997), who had been followed up for more than 10 years, were included in this retrospective study. Eleven out of 14 patients survived with their native livers, and their data analyzed for age at operation, clearing time of jaundice, histological outcome, postoperative complications, effectiveness after the application of an intussusception anti-reflex valve, and quality of life. Average age at surgery was 62.8 days. Serum bilirubin was normalized within three months in all patients. Six among the eleven long-term survivors had ascending cholangitis as one of the postoperative complications. The application of an intussusception anti-reflux valve did not show any statistical significance in long-term survival. Most of long-term survivors appeared to enjoy good quality of life. Kasai operation might not be the definitive treatment for biliary atresia; however, Kasai operation made it possible to achieve long-term survival for patients with biliary atresia when the patients were detected and treated as early as possible.

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A Study on the Prediction of Mass and Length of Injection-molded Product Using Artificial Neural Network (인공신경망을 활용한 사출성형품의 질량과 치수 예측에 관한 연구)

  • Yang, Dong-Cheol;Lee, Jun-Han;Kim, Jong-Sun
    • Design & Manufacturing
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    • v.14 no.3
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    • pp.1-7
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    • 2020
  • This paper predicts the mass and the length of injection-molded products through the Artificial Neural Network (ANN) method. The ANN was implemented with 5 input parameters and 2 output parameters(mass, length). The input parameters, such as injection time, melt temperature, mold temperature, packing pressure and packing time were selected. 44 experiments that are based on the mixed sampling method were performed to generate training data for the ANN model. The generated training data were normalized to eliminate scale differences between factors to improve the prediction performance of the ANN model. A random search method was used to find the optimized hyper-parameter of the ANN model. After the ANN completed the training, the ANN model predicted the mass and the length of the injection-molded product. According to the result, average error of the ANN for mass was 0.3 %. In the case of length, the average deviation of ANN was 0.043 mm.

Is the Arch Index Meaningful

  • Lung, Chi-Wen;Yang, Sai-Wei;Hsieh, Lin-Fen
    • Korean Journal of Applied Biomechanics
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    • v.19 no.2
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    • pp.187-196
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    • 2009
  • The foot type is classified into normal, high or low arch according to either foot print or medial longitudinal arch (MLA) height. Plantar fasciitis, heel pain, Achilles tendinitis, stress fracture, metatarsalgia, knee pain, shin splint pain, and etc are common foot disorders and associate to the foot type. The purpose of this study was to evaluate several suggested bony inclination used to classified the abnormal foot and if the arch index (AI) was correlated with foot morphology. Lateral view and dorso-plantar view of radiographic images and flatbed scanner measurements obtained from 57 college students were analyzed. Results showed that AI measured in this study was higher than Caucasian Americans and European, but similar with African. The ethnic origin could influent the AI distribution. The AI provided a simple quantitative means of assessing the structure of lateral and medial longitudinal arches. The correlation coefficients of true bone height with AI could be further improved by normalized foot width rather than foot length. AI also demonstrated as a good indicator of inclination between calcaneus-fifth metatarsal (CalM5) and calcaneus-first metatarsal (CalX), it is a good means to classify the foot type.

Performance Comparison of an Urban Canopy Model under Different Meteorological Conditions (기상 조건에 따른 도시 캐노피 모형의 성능 비교)

  • Ryu, Young-Hee;Baik, Jong-Jin;Lee, Sang-Hyun
    • Atmosphere
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    • v.22 no.4
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    • pp.429-436
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    • 2012
  • The performances of the Seoul National University Urban Canopy Model (SNUUCM) under different meteorological conditions (clear, cloudy, and rainy conditions) in summertime are compared using observation dataset obtained at an urban site. The daily-averaged net radiation, sensible heat flux, and storage heat flux are largest in clear days and smallest in rainy days, but the daily-averaged latent heat flux is similar among clear, cloudy, and rainy days. That is, the ratio of latent heat flux to net radiation increases in order of clear, cloudy, and rainy conditions. In general, the performance of the SNUUCM is better in clear days than in cloudy or rainy days. However, the performance in simulating sensible heat flux in clear days is as poor as that in rainy days. For all the meteorological conditions, the performance in simulating latent heat flux is worst among the performances in simulating net radiation, sensible heat flux, and latent heat flux. The normalized mean error for latent heat flux is largest in rainy days in which the relative importance of latent heat flux in the surface energy balance becomes greatest among the three conditions. This study suggests that improvements to the parameterization of processes that are related to latent heat flux are particularly needed.