Validation in Principal Components Analysis Applied to EEG Data
المؤلفون المشاركون
Costa, João Carlos G. D.
Da-Silva, Paulo José G.
Almeida, Renan Moritz V. R.
Infantosi, Antonio Fernando Catelli
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-09-07
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
The well-known multivariate technique Principal Components Analysis (PCA) is usually applied to a sample, and so component scores are subjected to sampling variability.
However, few studies address their stability, an important topic when the sample size is small.
This work presents three validation procedures applied to PCA, based on confidence regions generated by a variant of a nonparametric bootstrap called the partial bootstrap: (i) the assessment of PC scores variability by the spread and overlapping of “confidence regions” plotted around these scores; (ii) the use of the confidence regions centroids as a validation set; and (iii) the definition of the number of nontrivial axes to be retained for analysis.
The methods were applied to EEG data collected during a postural control protocol with twenty-four volunteers.
Two axes were retained for analysis, with 91.6% of explained variance.
Results showed that the area of the confidence regions provided useful insights on the variability of scores and suggested that some subjects were not distinguishable from others, which was not evident from the principal planes.
In addition, potential outliers, initially suggested by an analysis of the first principal plane, could not be confirmed by the confidence regions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Costa, João Carlos G. D.& Da-Silva, Paulo José G.& Almeida, Renan Moritz V. R.& Infantosi, Antonio Fernando Catelli. 2014. Validation in Principal Components Analysis Applied to EEG Data. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034664
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Costa, João Carlos G. D.…[et al.]. Validation in Principal Components Analysis Applied to EEG Data. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1034664
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Costa, João Carlos G. D.& Da-Silva, Paulo José G.& Almeida, Renan Moritz V. R.& Infantosi, Antonio Fernando Catelli. Validation in Principal Components Analysis Applied to EEG Data. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034664
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034664
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر