Rank Determination of Mental Functions by 1D Wavelets and Partial Correlation
详细信息 查看全文
- 作者：Y. Karaca ; Z. Aslan ; C. Cattani ; D. Galletta ; Y. Zhang
- 关键词：1 ; D continuous wavelet ; Wavelet packets ; Wavelet coefficient method ; Partial correlation ; WAIS ; R
- 刊名：Journal of Medical Systems
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：41
- 期：1
- 全文大小：1,958 KB
- 刊物类别：Mathematics and Statistics
- 刊物主题：Statistics
Statistics for Life Sciences, Medicine and Health Sciences
Health Informatics and Administration - 出版者：Springer Netherlands
- ISSN：1573-689X
- 卷排序：41
文摘
The main aim of this paper is to classify mental functions by the Wechsler Adult Intelligence Scale-Revised tests with a mixed method based on wavelets and partial correlation. The Wechsler Adult Intelligence Scale-Revised is a widely used test designed and applied for the classification of the adults cognitive skills in a comprehensive manner. In this paper, many different intellectual profiles have been taken into consideration to measure the relationship between the mental functioning and psychological disorder. We propose a method based on wavelets and correlation analysis for classifying mental functioning, by the analysis of some selected parameters measured by the Wechsler Adult Intelligence Scale-Revised tests. In particular, 1-D Continuous Wavelet Analysis, 1-D Wavelet Coefficient Method and Partial Correlation Method have been analyzed on some Wechsler Adult Intelligence Scale-Revised parameters such as School Education, Gender, Age, Performance Information Verbal and Full Scale Intelligence Quotient. In particular, we will show that gender variable has a negative but a significant role on age and Performance Information Verbal factors. The age parameters also has a significant relation in its role on Performance Information Verbal and Full Scale Intelligence Quotient change.