• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.9 no.1
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• pp.66-70
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• 1998

Background and Objectives : The managements of unilateral vocal cord palsy include type Ⅰ thyroplasty and arytenoid adduction. One type operation has been shown no satisfactory effect. We evaluated preoperative and postoperative speech of unilateral vocal cord palsy patients who received combined operation of type Ⅰ thyroplasty and arytenoid adduction to help for the management plan of unilateral vocal cord palsy patients. Materials and Methods : We reviewed the postoperative results and complication of 17 surgically treated patients of unilateral vocal cord palsy at Severance hospital from Nov. 1996 to Dec. 1997 retrospectively. They were received combined operation of type Ⅰ thyroplasty and arytenoid adduction. Their pre and post-operative speech were analyzed with MDVP(Multi-Dimension-Voice analysis Program) of CSL(Computerized Speech Lab). Results : After the operation, MPT(Maximal Phonation Time) was increased and MFR(Mean Flow Rate) was decreased in all patients. NHR(Noise to Harmonic Ratio) and VTI(Voice Turbulence Index) were decreased : liner, RAP(Relative Average Perturbation Quotient), PPQ(Pitch Period Perturbation Quotient), sPPQ(smoothed Pitch Period Perturbation Quotient), vFo(fundamental frequency Variation) were decreased : Shimmer, APQ(Amplitude Perturbation Quotient), sAPQ(Smoothed Amplitude Perturbation Qoutient), vAm(Peak Amplitude Variation) were decreased in all the patients. Conclusions : In unilateral vocal cord pals), combined operation of type Ⅰ thyroplasty and arytenoid adduction could obtain satisfactory postoperative voice. MDVP has many parameters and good method for evaluation of voice surgery.

• Journal of Korean Neurosurgical Society
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• v.30 no.sup1
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• pp.115-119
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• 2001

Objective : The cause and clinical outcome of cerebral hemorrhage in patients on maintenance hemodialysis have been poorly studied in korea. The purpose of this paper is to clarify the clincal features and the outcome of cerebral hemorrhage in patients on maintenance hemodialysis. Method : We analyzed clincal features and the outcome of cerebral hemorrhage in 14 patients on maintenance hemodialysis. Hematomas were reviewed and evaluated for location, size, and intraventricular extension by the one of the authors without any prior informations. The axial slice of CT film that the hematoma was appeared in maximal dimension was chosen for evaluations. Result : Hypertension was found in 71.4%(10 cases) and motality rate was 78.5%(11 cases). Basal ganglia hemorrhage was found in 50%(7 cases), subcortex in 28.5%(4 cases), pons in 14.2%(2 cases). Size of hematoma in patients on maintenance hemodialysis was significantly larger than that of hypertensive cerebral hemorrhage patients(p=0.0061). The 4 cases of basal ganglia hemorrhage without intraventricular hemorrhage and subarachnoid hemorrhage were good mental state at the onset of stroke because of small mass effect relative to the size of hematoma. The duration of hemodialysis treatment prior to strokes ranged from 1 to 107 months. Strokes developed within 6 hours of the previous hemodialysis are 5 cases. Average serum albumin concentration was 3.4g/dl. The use of heparin is less responsible for the development of cerebral hemorrhage in patients on maintenance hemodialysis Conclusion : Cerebral hemorrhage in patients on maintenance hemodialysis is more severe in terms of hematoma size and clinical outcome. Therefore, the prevention and treatment of cerebral hemorrhage in patients on maintenance hemodialysis should be more aggressive.

• The Journal of the Acoustical Society of Korea
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• v.24 no.7
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• pp.379-386
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• 2005

Among various kinds of hearing aids which have been developed so far. the conventional air conduction hearing aids have some problems such as the acoustic distortion, an howling effect due to acoustic feedback. Another type of hearing aid. the cochlear implant system can be applied to the profound imparied person. However. it shows the disadvantage that there is no possibility of recovery of the acoustic organ such as ossicle. On the other hand. the implantable middle ear heaving device directly vibratos the ossicular chain and has better sound qualify. good cosmetics for appearance. and wide frequency responses so that it can overcome the defects or the conventional hearing aids. In this paper, a mathematical modeling and a momentum equation derivation of the DET has been performed. For the optimization of the structure dimension generating maximal vibrating force of the DET. the computer simulation using a finite element analysis (FEA) software has been performed. Also. the vibrating transducer has been designed to make the frequency characteristics or the transducer be similar to those of the normal middle ear. Through the experimental results, the measured vibration characteristics of the DET has been evaluated to verify the performance for the application to implantable middle ear hearing devices.

• Journal of KIISE:Software and Applications
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• v.33 no.4
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• pp.365-377
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• 2006

Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein interaction is intrinsic to most cellular processes, prediction of protein interaction is an important issue in post-genomic biology where abundant interaction data have been produced by many research groups. In this paper, we present an associative feature mining method to predict implicit protein-protein interactions of Saccharomyces cerevisiae from public protein interaction data. We discretized continuous-valued features by maximal interdependence-based discretization approach. We also employed feature dimension reduction filter (FDRF) method which is based on the information theory to select optimal informative features, to boost prediction accuracy and overall mining speed, and to overcome the dimensionality problem of conventional data mining approaches. We used association rule discovery algorithm for associative feature and rule mining to predict protein interaction. Using the discovered associative feature we predicted implicit protein interactions which have not been observed in training data. According to the experimental results, the proposed method accomplished about 96.5% prediction accuracy with reduced computation time which is about 29.4% faster than conventional method with no feature filter in association rule mining.