• Title/Summary/Keyword: vocal sample types

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Differences in GRBAS scales and shimmer according to vocal sample types in people with vocal disorders (음성장애와 샘플유형에 따른 GRBAS 측정치 및 shimmer 비교)

  • Shin, Yu-Jeong;Hong, Ki-Hwan;Sim, Hyun-Sub
    • Phonetics and Speech Sciences
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    • v.3 no.3
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    • pp.149-155
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    • 2011
  • The purpose of the present study was to identify the differences in GRBAS scales between vocal sample types (sustained vowels and connected speech) for specific laryngeal conditions (vocal nodules, vocal polyps and vocal paralysis) and the relations between GRBAS scale and Shimmer value in each vocal sample type. In this study, the total of 60 voice samples of 30 patients (10 vocal nodules, 10 vocal polyps, 10 vocal paralysis) were examined and MDVP (Multi-dimensional Voice Program) was used to analyze Shimmer value. Three listeners rated two types of samples which were sorted randomly based on GRBAS scale. Three-way ANOVA, one-way ANOVA and paired t-test were used. The outcome of this study was as follow. 1) GRBAS scales varied in vocal sample types. Listeners tended to assess voices as better quality when they listened connected speech rather than sustained vowels. 2) G score of GRBAS and Shimmer were positively correlated with statistical significance. This results show that 1) vocal specialists should consider the sample types in evaluating the severity of voice problem and 2) G score could be a simple and clear method.

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A Study on the Types of Pain Identification by Nurses for Nursing Home Patients with Dementia (노인요양시설 간호사의 치매환자 통증확인 유형)

  • Lee, Su-Jung;Chang, Sung-Ok
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.17 no.4
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    • pp.508-519
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    • 2010
  • Purpose: This study was done to identify the types of pain identification made by nurses caring for patients with dementia in nursing homes. Method: To collect the Q-population, 12 nurses working in nursing homes were interviewed. From the collected data, 69 statements were derived and eight patterns of pain identification were categorized. Thirty statements were derived as the Q-sample. Thirty nurses were sampled as the P-sample. The 30 Q-cards with Q-statements were Q-sorted by the P-sample. The results of the Q-sorting were coded and analyzed using the PC QUANL program. Results: Five types of pain identification were identified by nurses for patients with dementia living in nursing homes; Type 1 was named "estimating based on verbal expressions". Type 2 was named "reasoning through physical symptoms". Type 3 was named "confirming pain based on nonverbal expressions being consistent with conditions of physical function". Type 4 was named "empathizing with vocal expressions". Type 5 was named "confirming by comparison with objective pain indicators one by one". Conclusions: The results of this study indicate that comprehensive understanding of pain identification by nurses could help improve the assessment of pain in patients with dementia.