Han-A Lee

Seoul National University

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Jeongtae Kim

Ewha Womans University

Bong‐Jin Hahm

Seoul National University

Jeong-Tae Lee

Rural Development Administration

Sung Koo Han

Seoul National University

Byoung-Jo Lee

Seoul National University Hospital

Sang‐Min Lee

Seoul National University

Young‐Soo Shim

Armed Forces Capital Hospital

Eun Hee Song

Gangneung Asan Hospital

Young Whan Kim

Seoul National University

Eun Young Heo

Seoul Metropolitan Government

Cooperative Institutions

Seoul National University

Seoul National University Hospital

New Generation University College

University of Ulsan

National University College

Lung Institute

Seoul National University Bundang Hospital

Armed Forces Capital Hospital

Asan Medical Center

Ulsan College

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Robust Restoration of Barcode Signals

The Transactions of The Korean Institute of Electrical Engineers (2007)

Han-A Lee Jeong-Tae Lee

Existing barcode signal restoration algorithms are not robust to unmodeled outliers that may exist in scanned barcode images due to scratches, dirts, etc. In this paper, we describe a robust barcode signal restoration algorithm that uses the hybrid norm as a similarity measure. To optimze the similarity measure, we propose a modified iterative reweighted least squares algorithm based on the one step minimization of a quadratic surrogate function. In the simulations and experiments with barcode images, the proposed method showed better robustness than the conventional MSE based method. In addition, the proposed method converged quickly during optimization process.

Barcode

Robustness

Minification

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Translation and validation of the Korean confusion assessment method for the intensive care unit

BMC Psychiatry (2011)

Eun Young Heo Byoung-Jo Lee Bong‐Jin Hahm Eun Hee Song Han-A Lee

Delirium is a common problem and associated with poor outcomes in intensive care unit (ICU) patients. Diagnosis of delirium in ICU patients is limited and usually underdiagnosed by physicians. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is one of the most widely used screening methods for detection of ICU delirium. Our goal was to translate and validate the CAM-ICU for use in the Korean ICU setting.Translation of the CAM-ICU was done according to the guidelines suggested by the Translation and Cultural Adaptation Group. For validation and interrater reliability assessment of the Korean CAM-ICU, two nurses independently assessed delirium in ICU patients and the results were compared with the reference evaluation, which was done by a psychiatrist using the Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV).Twenty-two patients were evaluated by two nurses and one psychiatrist expert independently. During the study period, we have continuously educated study nurses. Based on DSM-IV criteria, 16 out of 22 (72.7%) patients developed delirium. The sensitivities of the two nurses' evaluations using the Korean CAM-ICU were 89.80% for nurse 1 and 77.40% for nurse 2. Their specificities were 72.40% and 75.80% and their overall accuracy was 83.33% and 88.37% respectively. The Korean CAM-ICU was done with reasonable interrater reliability between nurse 1 and nurse 2 (κ = 0.81, p < 0.001).The Korean CAM-ICU showed good validity and could be incorporated into clinical practice in Korean ICUs.ISRCTN: ISRCTN50265663.

Inter-Rater Reliability

Confusion

10.1186/1471-244x-11-94

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Robust Decoding of Barcode Signals Acquired under Nonuniform Illumination

Han-A Lee Jeongtae Kim

We present a novel joint barcode deblurring and nonuniform illumination compensation algorithm for barcode signals whose number of modules is known. The proposed algorithm is based on a penalized least squares method using a roughness penalty function for an illumination model and a double well penalty function for a barcode signal model. In simulations, the proposed method shows an improved performance compared with a conventional method without compensating nonuniform illumination effects. In addition, the proposed method converges quickly during optimization(within 15 iterations), thereby showing strong possibility for real time decoding of barcode signals.

Barcode

Deblurring

Penalty Method

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