• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.391-400
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• 2017

The purpose of this study was investigated the effect of orofacial training video program using smart device on oral cavity structure and function, diadochokinetic rate in acute stroke patients with dysarthria. Present study participated in fourteen acute stroke patients with dysarthria. All subjects assigned that randomized each seven patients in experimental and control group. Subjects of two groups received conventional rehabilitation therapy for 4 weeks. Experimental group performed additionally that orofacial training video program using smart device, supervised under caregivers, during 30 min/day. The outcome measures were the oral cavity structure and function of subscale for KOMSE(: Korean Oro-motor Mechanism Screening Examination), AMR(: Alternating Motion Rate), SMR(: Sequential Motion Rate). In results, Both group showed significant improvements after intervention in all assessments(p<.05). In comparison of change between two groups, experimental group showed significant improvements than control group in oral cavity function, /p ə/ and /tə/ of AMR(p<.05). We suggested that orofacial training video program using smart device expected to positive effects the improvements of oral cavity and articulator function in acute stroke patients with dysarthria.

• 건강소식
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• v.35 no.12
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• pp.28-29
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• 2011

각종 인터넷 포털 사이트를 검색하면 척추측만증에 대한 설명이 나오는데 대체로 척추측만증은 척추가 옆으로 심하게 굽은 증상. 통증은 없고 서서히 진행되는데 심하면 내장 압박을 비롯하여 여러 가지 장애를 일으키는 병으로 소개되고 있다. 하지만 척추측만증은 단순히 척추가 옆으로만 굽은 것을 말하는 것이 아니라 뒤에서 봤을 때 옆으로 만곡된 것 이외에도 척추 뼈 자체의 회전 변형을 동반한 3차원적인 척추기형을 말한다.

• 건강소식
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• v.31 no.2 s.339
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• pp.24-27
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• 2007

건강이란 신체적, 정신적, 사회적으로 완전히 양호한 상태에 있는 것을 뜻하며, 단순히 병이 없다든지 허약하지 않은 것을 말하는 것이 아니다. 다시 말해, 건강이라 함은 삶의 질에 공헌하는 최적의 안녕(well-being)을 의미하며, 질병이나 고통으로부터 자유로운 것을 말한다. 질병이나 고통으로부터 자유로운 것은 좋은 건강을 유지하고 향상시키는데 있어서 매우 중요하다. 최적의 건강은(optimal health) 높은 수준의 정신적, 사회적, 감정적 및 육체적인 상태를 의미하며, 각 개인의 유전적이거나 장애적인 상태도 포함한다. 건강한 생활을 하기 위한 조건으로 규칙적인 생활과 충분한 휴식, 적당한 운동, 적당한 영양, 쾌적한 환경이 중요하다.

• 재활복지
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• v.18 no.4
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• pp.237-255
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• 2014

Idiopathic Parkinson disease(IPD) is an neurodegenerative disease caused by the loss of dopamine cells in the substantia nigra, a region of midbrain. Its major symptoms are muscular rigidity, bradykinesia, resting tremor, and postural instability. An estimated 70~90% of patients with IPD also have hypokinetic dysarthria. Subthalamic nucleus deep brain stimulation (STN-DBS) has been reported to be successful in relieving the core motor symptoms of IPD in the advanced stages of the disease. However, data on the effects of STN-DBS on speech performance are inconsistent. A medline literature search was done to retrieve articles published from 1987 to 2012. The results were narrowed down to focus on speech performance under STN-DBS based perceptual, acoustic, and/or aerodynamic analyses. Among the 32 publications which dealt with speech performance after STN-DBS indicated improvement(42%), deterioration(29%), mixed results(26%), or no change(3%). The most favorite method was found to be based upon acoustic analysis by using a vowel prolongation and Unified Parkinson's Disease Rating Scale(UPDRS). For the purpose of verifying the effect of the STN-DBS, speech evaluation should be undertaken on all speech components such as articulation, resonance, phonation, respiration, and prosody by using a contextual speech task.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.194-198
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• 2013

A total of 193 children between three and six years of age were given tests by using the PRES, REVT, KOSECT, and APAC. A specificity between referred and non-referred cases was not high. In the current study, the sensitivity of formal tests was insufficient. But combining of parental report with formal language tests could provide good criteria for identifying language impairment. The CCC-2 may provide an effective means to identify language difficulties using a standardized approach.

• 건강소식
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• v.34 no.8
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• pp.14-15
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• 2010

거듭 두통을 호소하는 아이에게 "어린애가 무슨 머리가 아프냐?"며 꾀병 부리지 말라는 얼굴을 해서는 안 된다. 아이들의 두통은 그렇게 가벼이 여길 증상이 아니다. 소아 두통은 성인의 두통과 다르며 방치할 경우 아이의 성장지연과 학습장애, 성격변화를 초래할 수 있다.

• The Monthly Diabetes
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• s.148
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• pp.23-25
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• 2002

임신성 당뇨병은 정도에 관계없이 임신 중에 처음 발생하였거나 진단된 다양한 정도의 당대사 장애를 말한다. 유병률은 인종이나 지역에 따라서 차이가 있으나 국내의 경우는 대략 2-3$\%$정도로 보고되어 있고 최근에 들어서 계속 증가하는 추세에 있다.

• Product Safety
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• s.91
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• pp.64-65
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• 2001

UPS(Uninterruptible Power Supply)는 우리말로는 무정전전원장치(無停電電源裝置)라고 하는데, 정전(停電 : Stoppage of Electric Current)과 같은 전원장애(電源障碍)가 발생한 경우 UPS에 접속되어 잇는 기기에 지속적으로 전원을 공급하는 장치를 말한다. UPS방식에는 상시 인버터방식, 상시 상용방식, 라인 인터랙티브방식의 세가지가 있다.

• Phonetics and Speech Sciences
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• v.15 no.4
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• pp.53-60
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• 2023

This study compared the absolute error of estimated fundamental frequency (AEF0) using voice - (VRP) and speech range profile (SRP) tasks across various etiological groups with voice disorders. Additionally, we explored the association between AEF0 and related voice parameters within each specific etiological group. The participants included 120 individuals, comprising 30 each from the functional (FUNC), organic (ORGAN), and eurological (NEUR) voice disorder groups, and a normal control group (NC). Each participant performed voice and SRP tasks, and the fundamental frequency of connected speech was measured using electroglottography (EGG). When comparing the AEF0 measures across the etiological groups, there were no differences in Grade and Severity among the patients. However, variations were observed in AEF0_VRP and AEF0_SUM. Specifically, AEF0_VRP was higher in the ORGAN group than in the FUNC and NC groups, whereas AEF0_SUM was higher in the ORGAN group than in the NC group. Furthermore, within FUNC and NEUR, AEF0 showed a positive correlation with Grade, while in ORGAN, it exhibited a positive correlation with the mean closed quotient (CQ). Attention should be paid to the application of AEF0 measures and related voice variables based on the etiological group. This study provides foundational information for the clinical application of AEF0 measures.

• Journal of Broadcast Engineering
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• v.22 no.2
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• pp.253-256
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• 2017

This paper deals with the implementation of speech disorder detection system based on machine learning classification. Problems with speech are a common early symptom of a stroke or other brain injuries. Therefore, detection of speech disorder may lead to correction and fast medical treatment of strokes or cerebrovascular accidents. The speech disorder system can be implemented by extracting features from the input speech and classifying the features using machine learning algorithms. Ten machine learning algorithms with various scaling methods were used to discriminate speech disorder from normal speech. The detection system was evaluated by the TORGO database which contains dysarthric speech collected from speakers with either cerebral palsy or amyotrophic lateral sclerosis.