Informatics Publishing Limited

M. Divya ¹, V. Kalaivani ², V. Anusuya Devi ³

Affiliations
1 Department of Computer Science and Engineering–PG, National Engineering College, Kovilpatti, Tamilnadu, IN
2 Department of Computer Science and Engineering – PG, National Engineering College, Kovilpatti, Tamilnadu, IN
3 Department of Computer Science and Engineering – PG, National Engineering College, Kovilpatti, Tamilnadu, IN

Abstract

In this paper, we propose a novel method for the detection of heart diseases. It is proposed to develop an automated system for the classification of heart diseases. The proposed system includes pre-processing, peak detection, feature extraction, feature selection and classification. In pre-processing, the noise removal is done and then peak detection of input ECG signal is performed. The peak detection process is used to detect the peaks in the ECG signal. It is for the detection of QRS complex, QRS interval, from the ECG signal. Then, many time domain and frequency domain features are extracted and some among them are selected for the classification of heart diseases. This proposed system may be helpful for the clinical diagnosis of heart diseases like Ventricular Arrhythmias, Atrial Fibrillation and Atrial flutter.

Keywords

Electrocardiogram, ECG Signals, Heart Diseases, QRS Complex, Peak Detection.

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V. Anusuya Devi ¹

Affiliations
1 College of Nursing, SRIPMS, Coimbatore, IN

Abstract

A study to assess the knowledge on nutrition of under five children among migrating mothers, and prevalence of nutritional problems among their children. The study found that, maximum 59 (98.33%) of the mothers had inadequate knowledge on nutrition of under five children, 1(1.67%) of the mothers had adequate knowledge. The prevalence of clinical aspects of nutritional problems were lack of luster in 45 (70%), think built 35 (58.3%), pale conjunctiva 33 (55%), angular stomatitis 16 (26.6%), pale and fabby sign 23 (38.3%), red and raw signs 3 (5%), mottled enamel 32 (53.3%), Dental carries 18 (80%), parotid gland enlargement 1 (1.6%), dry and scaly skin 4 (96.6%), koilonychia 5 (83%). ;

With regard to degree of malnutrition 5 (8.33%) of them had III degree malnutrition, 23 (38.33%) of them had II degree of malnutrition, 29 (48.33%) of them had I degree malnutrition and 3 (5%) of them had normal nutritional status.

The mean score of overall knowledge on nutrition of under five as 8.57 with S.D. 2.63, the mean score of degree of malnutrition was 74.37 with S.D. 10.5 with an 'r' value of -0.225 which indicate that when knowledge level decrease the prevalence rate will be increased.

Keywords

Knowledge, Nutrition of Under Five, Under Five, Migrating Mothers, Prevalence, Nutritional Problem.

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