scholarly journals Local Robust Gradient Patterns for Recognition of Cardiomyopathy

2019 ◽  
Vol 9 (2) ◽  
pp. 1416-1422
Keyword(s):  
Heart Disease ◽  
Heart Diseases ◽  
Recognition Rate ◽  
Disease Patient ◽  
Health Condition ◽  
Ecg Signals ◽  
Heart Disease Patient ◽  
Highly Sensitive ◽  
Electrocardiogram Signal ◽  
The Impact

Cardiomyopathy is one of the heart diseases that cause chamber damages. The impact of heart disease ends up in unforeseen fall with light-headedness. IoT plays an important role in human healthcare systems. Through IoT, it's terribly simple to watch the health condition of the heart disease patient by detection the abnormality within the electrocardiogram signal generated by IoT sensors. The varied ECG signals represent the severity of the heart disease and every graphical record signal has distinctive patterns. This paper describes the recognition of cardiomyopathy disease based on local robust gradient patterns technique LBP operator is one of the foremost powerful techniques to recognize the patterns within the ECG graph signals. But it's highly sensitive to noise and little fluctuations. To beat these limitations LTP and its derivatives are applied. LTP operator removes the noise by dividing the signals into 3 regions. It doesn’t provide fruitful results if the signal has an additional range of peaks and valleys. Merely it replaces peaks by the valley and vice-versa. RLTP technique is appropriate to beat this limitation by finding the minimum value of LTP and its complement value. However, it fails for little fluctuation in the signals. To enhance the recognition rate of little fluctuation graphical record signals the discriminant robust local ternary pattern technique is proposed by multiplying the edge gradient values with RLTP techniques. This method is applied to PTB information and therefore the Experimental results are created within the variety of tables and graphs. The proposed technique has high results on the LTP and its derivative methods and is useful for detecting cardiomyopathy with 85% accuracy

Burden of Care Among Mothers Having Children with Congenital Heart Diseases

2020 ◽  
Vol 40 (2) ◽  
pp. 72-77
Author(s):  
Nita Sharma ◽  
Pratima Sharma ◽  
Tulashi Adhikari Mishra
Keyword(s):  
Heart Disease ◽  
Congenital Heart ◽  
Heart Diseases ◽  
Sampling Technique ◽  
Structured Interview ◽  
Health Condition ◽  
P Value ◽  
Burden Of Care ◽  
Cross Sectional ◽  
Significance Level

Introduction: Congenital Heart Disease (CHD) is a problem with structure and function of the heart that is present at birth.  Children with CHD require special care, treatment and follow up for a number of common conditions which may be quite straining to the care givers. The objective of the study was to find out the burden of care among mothers having children with CHD. Methods: This descriptive cross-sectional study was carried out in a cardiac centre of Nepal. A total of 95 mothers having children with CHD attending outpatient department of our institute were selected as the sample for the study using non-probability purposive sampling technique. A semi structured interview questionnaire consisting of the Modified Caregiver Strain Index was used to assess the burden of care among mothers having children with CHD. Frequency and percent were used to describe the variables and chi- square test at 0.05 significance level was used to analyse associations. Results: Most (77.9%) of the mothers were regularly strained to find that their children’s health condition was deteriorating due to CHD. Nearly half (44.2%) of the mothers always had financial constrain while giving care to the child, nearly half (40%) of the mothers had done emotional adjustments to take care of their children with CHD, another two-fifths (28.4%) of the mothers sometimes had disturbed sleep and almost half (46.3%) of the mothers were always upset due to some behaviour of their child with CHD. Half (50.5%) of the mothers had high level of burden of care. Statistically significant association were found between age of the mother and level of burden of care (p value = 0.05). Similarly, the type of family (p value = 0.005), age of the children (p value = 0.000) and type of CHD (p value = 0.002) were significantly associated with the level of burden of care among the mothers. Conclusion: The study concluded that mothers tend to feel less burden of care as the child grows older, mothers having children with cyanotic heart disease tend to experience more burden of care. Mothers of less than thirty years of age and living in a joint family also experience more burden of care.  

Paradigms of Machine Learning and Data Analytics

2020 ◽  
pp. 156-174
Author(s):  
Pawan Kumar Chaurasia
Keyword(s):  
Machine Learning ◽  
Heart Disease ◽  
Deep Learning ◽  
Critical Review ◽  
Data Analytics ◽  
Disease Patient ◽  
Learning Tools ◽  
Heart Disease Patient ◽  
Tools And Techniques ◽  
New Hypothesis

This chapter conducts a critical review on ML and deep learning tools and techniques in the field of heart disease related to heart disease complexity, prediction, and diagnosis. Only specific papers are selected for the study to extract useful information, which stimulated a new hypothesis to understand further investigation of the heart disease patient.

scholarly journals Washable embroidered textile electrodes for long-term electrocardiography monitoring

2019 ◽  
Vol 2 (3) ◽  
pp. 126-135 ◽  
Author(s):  
Amale Ankhili ◽  
Shahood uz Zaman ◽  
Xuyuan Tao ◽  
Cedric Cochrane ◽  
Vladan Končar ◽  
...  
Keyword(s):  
Heart Diseases ◽  
Thermoplastic Polyurethane ◽  
Health Condition ◽  
Ecg Signals ◽  
Medical Quality ◽  
Textile Electrodes ◽  
Washing Process ◽  
Encapsulation Process ◽  
Domestic Machine

The improvement of human health condition is an important objective that remains relevant since the origin of human being. Currently, cardiovascular diseases are the first cause of death worldwide. For this reason, permanent real-time monitoring of heart activity (Electrocardiogram: ECG), its analysis and alerting of concerned person is a solution to decrease the death toll provoked by heart diseases. ECG signal of medical quality is necessary for permanent monitoring and accurate heart examining. It can be obtained from instrumented underwear only if it is equipped with high quality, flexible textile based electrodes guaranteeing low contact resistance between the skin and them. This work is therefore devoted to the design and test of wearable textile embroidered bands following defined protocol for ECG long-term monitoring. These bands were investigated in three configurations: band without any adding layer to protect lines between electrodes and the connector, band with lines protected by simple yarn, band with lines protected with thermoplastic polyurethane (TPU). Bands were worn around chest by healthy subjects in a sitting position and ECG signals were acquired by an Arduino-based device and assessed. Washability tests of connected underwear were carried out over 50 washing cycles in a domestic machine and by using a commercial detergent. Influence of encapsulation process on the electrical properties of textile electrodes during repetitive washing process has also been investigated and analyzed. All the ECG signals acquired and recorded have been reviewed by a cardiologist in order to validate their quality required for accurate diagnosis.

Biatrial appendages clots in a rheumatic heart disease patient – an important lesson to remember

2016 ◽  
Vol 7 (3) ◽  
pp. 126-127
Author(s):  
Anshul Kumar Gupta ◽  
Sunil Dhondiram Shewale ◽  
Kanchanahalli Siddegowda Sadananda ◽  
Chollenahally Nanjappa Manjunath
Keyword(s):  
Heart Disease ◽  
Rheumatic Heart Disease ◽  
Disease Patient ◽  
Important Lesson ◽  
Heart Disease Patient ◽  
Rheumatic Heart
Sign in / Sign up

Export Citation Format

Share Document