• Journal of The Korean Society of Emergency Medicine
• /
• v.29 no.6
• /
• pp.636-640
• /
• 2018

Objective: Central venous catheter (CVC) misplacement can result in incorrect readings of the central venous pressure, vascular erosion, and intravascular thrombosis. Several studies have examined the correlation between the guidewire J-tip direction and misplacement rate. This study examined whether the guidewire J-tip direction (cephalad vs. caudad) affects the misplacement rate in right subclavian venous catheterization. Methods: This prospective randomized controlled study was conducted between February 2016 and February 2017. The subjects were divided into two groups (cephalad group vs. caudad group) and the misplacement rate was compared according to guidewire J-tip direction in each group. Results: Of 100 patients, the cephalad and caudad groups contained 50 patients each. The age, sex, and operator experience were similar in the two groups. In the cephalad group, misplacement of CVC insertion into the ipsilateral internal jugular vein occurred in two cases. In the caudad group, misplacement of CVC insertion into the contralateral subclavian vein occurred in one case, with loop formation in the brachiocephalic trunk in one case. Guidewire J-tip direction showed no significant correlation with CVC misplacement. Conclusion: The guidewire J-tip direction does not influence the rate of misplacement.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.37 no.2
• /
• pp.50-59
• /
• 2000

In this paper, a new preprocessing method is proposed to speedup the watershed-based image segmentation In the proposed method, the gradient correction values of ramp edges are calculated from the positions and width of the ramp edges using Laplacian operator, and then, unlike the conventional method in which the monoscale or multi scale gradient image is directly used as a reference iImage, the reference image is obtained by adding the threshold value to each position of the ramp edges in the monoscale gradient image And the marker image is reconstructed on the reference image by erosion By preprocessing the image for the watershed transformation in such a manner, we can reduce the oversegmentations far more than those of applying the conventional morphological filter to the simple monoscale or multiscale gradient-based reference image Thus, we can reduce the total image segmentation time by reducing the time of postprocessing of region merging, which consumes most of the processing time In the watershed-based image segmentation, Experimental results indicate that the proposed method can speedup the total image segmentation about twice than those of the conventional methods, without the loss of ramp edges and principal edges around the dense-edge region.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.2430-2434
• /
• 2005

Automatic FPC punching instrument for the improvement of working condition and cost saving is introduced in this paper. FPC(flexible printed circuit) is used to detect the contact position of K/B and button like a cellular phone. Depending on the quality of the printed ink and position of reference punching point to the FPC, the resistance and current are varied to the malfunctioning values. The size of reference punching point is 2mm and the above. Because the punching operation is done manually, the accuracy of the punching degree is varied with operator's condition. Recently, The punching accuracy has deteriorated severely to the 2mm punching reference hall so that assembly of the K/B has hardly done. To improve this manual punching operation to the FPC, automatic FPC punching system is introduced. Precise mechanical parts like a 5-step stepping motor and ball screw mechanism are designed and tested and low cost PC camera is used for the sake of cost down instead of using high quality vision systems for the FA. 3D Mechanical design tool(Pro/E) is used to manage the exact tolerance circumstances and avoid design failures. Simulation is performed to make the complete vision based punching machine before assembly, and this procedure led to the manufacturing cost saving. As the image processing algorithms, dilation, erosion, and threshold calculation is applied to obtain an exact center position from the FPC print marks. These image processing algorithms made the original images having various noises have clean binary pixels which is easy to calculate the center position of print marks. Moment and Least square method are used to calculate the center position of objects. In this development circumstance, Moment method was superior to the Least square one at the calculation of speed and against noise. Main control panel is programmed by Visual C++ and graphical Active X for the whole management of vision based automatic punching machine. Operating modes like manual, calibration, and automatic mode are added to the main control panel for the compensation of bad FPC print conditions and mechanical tolerance occurring in the case of punch and die reassembly. Test algorithms and programs showed good results to the designed automatic punching system and led to the increase of productivity and huge cost down to law material like FPC by avoiding bad quality.