• Title/Summary/Keyword: diagnostic software

Search Result 253, Processing Time 0.029 seconds

3D measuring system by using the stereo vision (스테레오비젼을 이용한 3차원 물체 측정 시스템)

  • 조진연;김기범
    • Proceedings of the Korean Society of Precision Engineering Conference
    • /
    • 1997.10a
    • /
    • pp.224-228
    • /
    • 1997
  • Computer vision system become more important as the researches on inspection systems, intelligent robots , diagnostic medical systems is performed actively. In this paper, 3D measuring system is developed by using stereo vision. The relation between left image and right image is obtained by using 8 point algorithm, and fundamental matrix, epipole and 3D reconstruction algorithm are used to measure 3D dimensions. 3D measuring system was developed by Visual Basic, in which 3D coordinates would be obtained by simple mouse clicks. This software would be applied to construction area, home interior system, rapid measuring system.

  • PDF

Analysis of Blood Cell Images Using Smartphone-based Mobile SmartScope (스마트폰 기반 Mobile SmartScope를 이용한 혈구 영상 분석)

  • Park, Choonho;Cho, Myoung-Ock;Lee, Donghee;Kim, Jung Kyung
    • Journal of the Korean Society of Visualization
    • /
    • v.10 no.2
    • /
    • pp.25-31
    • /
    • 2012
  • High-performance smartphones, equipped with a digital camera and an application software, can render conventional bench-top laboratory instruments mobile at affordable costs. As the smartphone-based devices are portable and wireless, they have wide applications especially in providing point-of-care (POC) tests in resource-constrained areas. We developed a hand-held diagnostic system, Mobile SmartScope, which consists of a small optical unit integrated with a smartphone. The performance of the SmartScope was favorably compared with that of conventional light microscopy in detecting and quantifying red blood cells. We also evaluated the fluorescence detection limit of the SmartScope incorporated with a blue light-emitting diode and appropriate optical filters by using fluorescently labeled microbeads for intensity calibration.

Remote Fault Diagnosis and Maintenance System for NC Machine Tools (공작기계용 원격 고장진단 및 보수 시스템)

  • 신동수;현웅근;정성종
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.15 no.1
    • /
    • pp.19-25
    • /
    • 1998
  • Remote fault diagnosis and maintenance system using general telecommunication network is necessary for an effective fault diagnosis and higher productivity of NC machine tools. In order to monitor machine tool condition and diagnose alarm states due to electrical and mechanical faults, a remote data communication system for monitoring of NC machine fault diagnosis and status is developed. The developed system consists of (1) remote communication module among NC's and host PC using PSTN. (2) 8 channels analog data sensing module, (3) digital I/O module for control or NC machine, (4) communication module between NC machine and remote data communication system via RS-232C, and (5) software man-machine interface. Diagnostic monitoring results generated through a successive type inference engine are displayed in user-friendly graphics. The validity and reliability of the developed system is verified to be a powerful commercial version on a vertical machining center through a series of experiments.

  • PDF

Quantitative Assessment of the Diagnostic Role of CDH13 Promoter Methylation in Lung Cancer

  • Zhong, Yun-Hua;Peng, Hao;Cheng, Hong-Zhong;Wang, Ping
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.16 no.3
    • /
    • pp.1139-1143
    • /
    • 2015
  • In order to explore the association between cadherin 13 (CDH13) gene promoter methylation and lung carcinoma (LC) risk, we carried out a meta-analysis with searching of PubMed, Web of Science. Ultimately, 17 articles were identified and analysised by STATA 12.0 software. Overall, we found a significant relationship between CDH13 promoter methylation and LC risk (odds ratio=6.98, 95% confidence interval: 4.21-11.56, p<0.001). Subgroup analyses further revealed that LC risk was increased for individuals carrying the methylated CDH13 compared with those with unmethylated CDH13. Hence, our study identified a strong association between CDH13 gene promoter methylation and LC and highlighted a promising potential for CDH13 methylation in LC risk prediction.

Development of Diagnostic System for Winding Profile Abnormality of Hot Coils (열연코일 권취형상 불량 자동진단 시스템 개발)

  • Lee, Sung-Jin
    • Proceedings of the KSME Conference
    • /
    • 2000.11a
    • /
    • pp.590-595
    • /
    • 2000
  • On the contrary to the increasing needs of shape qualities, most of quality inspections are carried out by manual or operator's insight. To find the causes of shape inferiority, it is required to gather and analyze the shape measurement data. As a result the winding profile measurement system ($TELE-SCANNER^{(R)}$) is developed to analyze the coiling process and automate the manual measuring process for winding profile of hot-rolled coils. The winding profile measurement system measures and analyzes winding profile shapes of hot-rolled coils, and classifies them into several dominant patterns that are related to normal or abnormal mechanical conditions of down-coiler. The system also contains analysis software to quantify the winding profile shapes and patterns, and to produce statistics to help search the causes of profile shape inferiority.

  • PDF

Finding Fuzzy Rules for IRIS by Neural Network with Weighted Fuzzy Membership Function

  • Lim, Joon Shik
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.4 no.2
    • /
    • pp.211-216
    • /
    • 2004
  • Fuzzy neural networks have been successfully applied to analyze/generate predictive rules for medical or diagnostic data. However, most approaches proposed so far have not considered the weights for the membership functions much. This paper presents a neural network with weighted fuzzy membership functions. In our approach, the membership functions can capture the concentrated and essential information that affects the classification of the input patterns. To verify the performance of the proposed model, well-known Iris data set is performed. According to the results, the weighted membership functions enhance the prediction accuracy. The architecture of the proposed neural network with weighted fuzzy membership functions and the details of experimental results for the data set is discussed in this paper.

Development of Digital Endoscopic Image Processing System (디지탈 내시경 영상처리 시스템의 개발)

  • 송철규;이영묵
    • Journal of Biomedical Engineering Research
    • /
    • v.18 no.2
    • /
    • pp.121-126
    • /
    • 1997
  • Endoscopy has become a crucial diagnostic and therapeutic procedure in clinical areas. Over the past three years, we have developed a computerized system to record and store clinical data pertaining to endoscopic surgery of laparascopic cholecystectomy, pelviscopic endometriosis, and surgical arthroscopy. In this study, we developed a computer system, which is composed of a frame yabber, a sound board, a VCR control board, a LAN card and EDMS(endoscopic data management software. Also, computer system has controled peripheral instruments such as a color video printer, a video cassette recorder, and endoscopic input/output signals(image and doctor's comment). Digital endoscopic data management system is based on open architecture and a set of widely available industry standards, namely: windows 3.1 as a operating system, TCP/IP as a network protocol and a time sequence based database that handles both images and doctor's cotnments. For the purpose of data storage, we used MOD and CD-R. Digital endoscopic system was designed to be able to store, recreate, change, and compress signals and medical images.

  • PDF

An ECG Monitoring and Analysis Method for Ubiquitous Healthcare System in WSN

  • Bhardwaj, Sachin;Lee, Dae-Seok;Chung, Wan-Young
    • Journal of information and communication convergence engineering
    • /
    • v.5 no.1
    • /
    • pp.7-11
    • /
    • 2007
  • The aim of this paper is to design and implement a new ECG signal monitoring and analysis method for the home care of elderly persons or patients, using wireless sensor network (WSN) technology. The wireless technology for home-care purpose gives new possibilities for monitoring of vital parameter with wearable biomedical sensors and will give the patient freedom to be mobile and still be under continuously monitoring. Developed platform for portable real-time analysis of ECG signals can be used as an advanced diagnosis and alarming system. The ECG features are used to detect life-threatening arrhythmias, with an emphasis on the software for analyzing the P-wave, QRS complex, and T-wave in ECG signals at server after receiving data from base station. Based on abnormal ECG activity, the server transfer diagnostic results and alarm conditions to a doctor's PDA. Doctor can diagnose the patients who have survived from arrhythmia diseases.

Development of an Ambulatory Wearable System for Continuous Patient Monitoring (휴대용 심전도 모니터링 계측 시스템 개발에 관한 연구)

  • Park, Chan-Won;Jeon, Chan-Min
    • Proceedings of the KIEE Conference
    • /
    • 2003.11c
    • /
    • pp.920-923
    • /
    • 2003
  • An wearable electrocardiogram (ECG) monitoring system is a widely used non-invasive diagnostic tool for ambulatory patient who may be at risk from latent life-threatening cardiac abnormalities. In this paper, we have a portable ECG monitoring system with conductive fiber which was characterized by the small-size and the low power consumption. The system consists of conductive fibers, one-chip microcontroller, ECG preprocessing circuit, and monitoring software to be able to record and analyze in PC. ECG preprocessing circuit is made of pre-amplifier with gain of 10, band-pass filter with bandwidth of 0.5-120Hz and 2.5V offset circuit for A/D conversion. ECG signals obtained by sensor are included with corrupted noises such as a baseline wandering, 60 Hz power noise and interference noise by body movement. For cancellation corrupted noises in signals obtained by conductive fiber, we used the wavelet decomposition of wavelet transforms in MATLAB toolbox.

  • PDF

Development of Diagnosis Platform for DC-DC Converter Based on Java Virtual Machine (Java VM 기반 DC-DC 컨버터 진단 플랫폼 개발)

  • 전진홍;김광수;정준영;김태진;김광화
    • Journal of Energy Engineering
    • /
    • v.13 no.3
    • /
    • pp.199-204
    • /
    • 2004
  • This Paper deals with a Platform for diagnosis monitoring of DC-DC converter system based on Java virtual machine. This platform is designed for estimating diagnostic parameters of DC-DC converter system based on system identification method and displaying Web-page on operating status. For Web-service, hardware of platform is baled on a Strongarm processor and software bale is designed on Linux and java virtual machine.