C.J. Kuo

National Chung Cheng University, Xinying, Taiwan, Taiwan

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Publications (8)12.47 Total impact

  • C C Chen, C J Kuo, S Y Tsai
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    ABSTRACT: The causes of death among a series of patients with substance dependence were investigated. A psychiatric teaching hospital in Taipei, Taiwan (Taipei City Psychiatric Center). A total of 1698 patients with various diagnostic categories of substance dependence, who had been admitted to TCPC for detoxification were followed-up from 1985 to 1996. A record-linkage study was performed using the patient's national identification number to link between TCPC chart records and the mortality file compiled by the National Department of Health. Risk factor analyses for mortality included socio-demographic data, clinical diagnosis and cause of death. A total of 141 patients died during the study period. Among them, 83 had a diagnosis of alcohol dependence, 41 of heroin dependence and the remaining 17 cases of sedative, glue or hallucinogen dependence. The annual mortality rate of patients with heroin dependence was 1.94%. Accidental death is the leading cause of death among patients with heroin dependence. However, the patients with alcohol dependence had a higher mortality risk than those with heroin dependence (relative hazard = 1.91, p < 0.001) in this study. The proportion of non-violent death was significantly higher among the patients with alcohol dependence than those with heroin dependence (p < 0.005). The causes of death among patients with substance dependence found in this Taiwanese series were very similar to those reported in the western literature. However, differences included the absence of death among heroin addicts due to HIV-related disease and a markedly high percentage of alcoholic patients who died of liver diseases.
    Addiction 06/2001; 96(5):729-36. · 4.58 Impact Factor
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    ABSTRACT: Circulating soluble interleukin-2 receptors (sIL-2Rs) and soluble interleukin-6 receptors (sIL-6Rs) are stable immune measures. Elevated plasma sIL-2R levels are present in patients with schizophrenia, major depression, and bipolar mania, but not with minor psychiatric disorders. The increased plasma sIL-2R levels are state-dependent in bipolar mania. However, altered production of plasma sIL-6R and the effects of clinical characteristics on plasma sIL-6R and sIL-2R levels in bipolar disorder remains uncertain. Plasma sIL-2R and sIL-6R levels were measured in 31 Taiwanese bipolar manic (DSM-IV) patients with Young Mania Rating Scale (YMRS) scores of > or =26 as well as during the subsequent remission (YMRS< or =12), and equal numbers of age- and gender-matched healthy controls. The relationships of clinical variables such as age, age of onset, smoking, medication status, coexisting psychotic features, number of prior episodes, duration of illness, presence of depression before or following the manic episode, and manic severity to plasma sIL-2R and sIL-6R levels in acute mania along with remission were examined. Plasma sIL-2R but not sIL-6R levels were significantly higher in acute mania than in subsequent remission (P<0.05) and controls (P<0.0005). In acute mania, the plasma sIL-2R levels were significantly correlated to YMRS scores (r=0.34, P<0.05). The remaining clinical variables had no effect on plasma sIL-2R and sIL-6R levels in acute mania or remission. There was a significantly positive relationship between the reduction of plasma sIL-2R levels from the acute to follow-up measurements (DeltasIL-2R) and symptomatic improvement of acute mania (DeltaYMRS) (r=0.61, P<0.001). Limitations: Our sample included medicated and unmedicated patients in acute mania. The psychotropic medication may have divergent effects on the plasma sIL-2R levels in acute mania and subsequent remission. Elevation of plasma sIL-2R but not sIL-6R levels in bipolar mania supports the idea that the immunomodulatory mechanism may vary in different psychotic disorders. In contrast to being a trait marker in schizophrenia and depressive disorder, plasma sIL-2R levels may be considered a biological indicator of manic severity in a group of bipolar affective patients.
    Journal of Affective Disorders 05/2001; 64(2-3):185-93. · 3.30 Impact Factor
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    R S Huang, L L Tsai, C J Kuo
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    ABSTRACT: A selection procedure with three rules, high efficiency, low individual variability, and low redundancy, was developed to screen electroencephalogram (EEG) features for predicting behavioral alertness levels. A total of 24 EEG features were derived from temporal, frequency spectral, and statistical analyses. Behavioral alertness levels were quantified by correct rates of performance on an auditory and a visual vigilance task, separately. In the auditory task study, a subset of three EEG features, the relative spectral amplitudes in the alpha (alpha%, 8-13 Hz) and theta (theta%, 4-8 Hz) bands, and the mean frequency of the EEG spectrum (MF), was found to be the best combination for predicting the auditory alertness level. In the visual task study, the mean frequency of the beta band (Fbeta, 13-32 Hz) was the only EEG feature selected. The application of an averaging subwindow procedure within a moving time window to EEG analysis increased the predictive power of EEG features and decreased the disturbing effect of movement artifacts on the EEG data.
    Proceedings of the National Science Council, Republic of China. Part B, Life sciences 02/2001; 25(1):17-25.
  • C.J. Kuo, T.G. Lin
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    ABSTRACT: Facial model coding is an integral part in MPEG-4 related applications. To generate a facial model usually requires a stereoscopic view of the face in the pre-processing stage. Although a facial model can be successfully estimated from two stereo facial images, the occlusion effect and imprecise location of the feature point prohibit us from obtaining an accurate facial model. We propose two facial model estimation (FME) algorithms to find the precise facial model from a mono image sequence. Without the a prior information about the 3D position of the head with respect to the camera and the rotation axis and angle of the head's movement, an accurate facial model (within 7.21% error) can still be obtained by our schemes. In addition, our schemes do not require the precise camera parameters that makes the facial model extraction easy
    Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on; 02/2000
  • European Neuropsychopharmacology 01/2000; 10:227-227. · 4.60 Impact Factor
  • C.J. Kuo, T.G. Lin
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    ABSTRACT: In an object-based analysis-synthesis coder (OBASC) for teleconference, an object can be represented by a model of triangle mesh wireframe. Because the video contents usually are the head-and-shoulders or heads only, the generation of a facial model and its accuracy thus are important issues. A three-dimensional facial model can be generated using a stereo image pair and the knowledge of the disparity. But a facial model reconstructed from a stereo image pair only may be inaccurate because of the occlusion of some features. A new facial model refinement algorithm is proposed in this paper. Here we first generate a rough facial model using the first stereo image pair in a stereo image sequence, and then fine tune this model according to the further information gathered from the following image sequence. Our results converge to the exact facial model and thus provide a better model for the OBASC
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on; 02/1999
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    ABSTRACT: We propose an approach to efficiently compress and transmit multiresolution 3D facial models for multimedia and very low bit rate applications. A personal facial model is obtained by a 3D laser digitizer, and further re-quantized at several resolutions according to different scope of applications, such as animation, video game, and video conference. By deforming 2D templates to match and re-quantize a 3D digitized facial model, we obtain its compressed model. In the present study, we create hierarchical 2D facial wireframe templates at five resolutions. In the deformation procedure, 2D templates are adapted according to facial feature points and the proposed piecewise chainlet affine transformation (PCAT) method. The 3D digitized model after requantization are reduced significantly without perceptual loss. Moreover, the proposed multiresolution facial models possessed a hierarchical data structure and are apt to be progressively transmitted and displayed across the Internet
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on; 11/1998
  • C.J. Kuo, R.S. Huang, T.G. Lin
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    ABSTRACT: We propose a method to synthesize a lateral face from a 2D gray-level image of a frontal face that provides only plane geometry but not the depth information for a 3D facial model. To estimate the depth information from the frontal face, we investigate the relationship between the frontal and lateral facial anthropometric parameters. According to anthropometric definitions on the head and face, we set up a database consisting of facial parameters measured from 70 Chinese male adults. The database serves as prior knowledge for the minimum mean square error estimation on lateral facial parameters. For each person, with his frontal facial image, we can construct his 3D facial model based on the measured frontal facial parameters and the estimated lateral parameters. Therefore, images of a lateral face can be synthesized by texture mapping from the frontal facial image
    Image Processing, 1997. Proceedings., International Conference on; 11/1997