scholarly journals Profil Interaksi Verbal Pasien Penyakit Jantung Koroner dalam Berkomunikasi

ARISTO ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 163
Author(s):  
Amanah Rakhim Syahida
Keyword(s):  
Family Environment ◽  
Communication Theory ◽  
Disease Patient ◽  
Coronary Heart Disease Patient ◽  
Health Condition ◽  
Verbal Interaction ◽  
Verbal Interactions ◽  
Heart Disease Patient ◽  
Specialist Doctor ◽  
Heart Patients

Coronary heart patients are very strong subjects in the research of verbal interaction profiles. Because a lot of verbal interactions must be understood by patients as communicators. Simple communication theory to find this interaction has several elements, namely Communicator, Message (Message), Channel, Communicative, and Feed back. This type of research uses qualitative descriptive methods including observations in the location of the safira panjen Malang Main clinic, in-depth interviews with coronary heart patients who were included in the informant's criteria as a sample, namely Mr. Suryadi who had long been treated as a coronary heart disease patient, as the primary informant , and supporting informants namely the closest person and specialist doctor and then data analysis. The results of this study can be concluded 1.) the profile of verbal interaction of coronary heart patients in communicating has Determinism the use of verbalization generally has conditions directed to meet the desired goals of coronary heart patients (communicators) in expressing messages in the form of language, symbols, chennel in the form of senses and HP in communicating, Feed Back with communicants, this leads to healing, and verbal interactions of a coronary heart patient (communicator) experience repeated conditions with the assumption that using Indonesian or Javanese language kromo inggil, Channel, Feed back given by communicant in this is like; family environment, workplace and physician at the same time) in Communicating Coronary Jatung Patients who finally get the full understanding and comfort and discomfort to influence their health condition, 2.) Obstacles are also experienced in interacting which lead to Polarization, Evaluation of Stasis in Coronary Heart Patients, Stereotypes Between Patients with Coronary Hearts (Communicators) with their communicants.

Dramatic fate of a young coronary heart disease patient rescued with specific lipoprotein(a) apheresis

2014 ◽  
Vol 30 (3) ◽  
pp. 193-195 ◽  
Author(s):  
Maya S. Safarova ◽  
Marat V. Ezhov ◽  
Olga I. Afanasieva ◽  
Gennady A. Konovalov ◽  
Sergei N. Pokrovsky
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Disease Patient ◽  
Coronary Heart Disease Patient ◽  
Lipoprotein A ◽  
Heart Disease Patient

scholarly journals THE DESCRIPTION OF RESILIENCE IN POST-ACUTE ATTACK PATIENT WITH CORONARY ARTERY DISEASE

2018 ◽  
Vol 4 (3) ◽  
pp. 312-322
Author(s):  
Eva Puspawatie ◽  
Ayu Prawesti ◽  
Titin Sutini
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Disease Patient ◽  
Coronary Heart Disease Patient ◽  
Acute Attack ◽  
Mean Value ◽  
Self Control ◽  
Sample Number ◽  
Heart Disease Patient ◽  
The Mean

Background: Coronary heart disease patients shall experience physical, psychological and social changes that will affect life. The psychological condition of outpatients that has been investigated include anxiety, depression and quality of life, all of these problems can be attributed to resilience.Objective: The purpose of this study was to determine the image of resilience of coronary heart disease patient following up the acute attack in outpatient ward.Methods:  The research method used quantitative descriptive using CD-RISC instrument 25. Instrument had validity value r = 0.83, P <.0001 and reliability value of Cronbach’s α 0.89. The selection of sample with consecutive sampling and got sample number 50 people for 2 weeks. Data were analyzed based on the value of each respondent categorized using tertile to see the overall resilience picture, while for the five sub-variables measured using the mean and standard deviation.Result: The results showed that almost half of respondents had 70-75 resilience. The mean value of sub-variables if sorted from the lowest to the highest is trust and reinforcement (2.71±0.58); competence and resilience (2.88±0.53); relationships with others (2.92±0.48); self-control (3.04±0.62) and spiritual influence (3.33±0.45). These results are influenced by lack of self-efficacy, optimism and family support.Conclusion: The conclusions of the research resilience of patients are in the medium category, for the lowest sub-variable value is trust and strengthening, while the highest is the spiritual influence. So, it is advisable to provide education to improve management skills post-acute attacks and increase social support in the care of patients at home.

Study on Pulse-Signal Detection Methods Using Wavelet Transform and Hilbert Huang Transform

2013 ◽  
Vol 860-863 ◽  
pp. 2918-2923
Author(s):  
Yan Fang Wang ◽  
Guang Ling Guo ◽  
Zhi Qiang Li
Keyword(s):  
Wavelet Transform ◽  
Disease Patient ◽  
Coronary Heart Disease Patient ◽  
Pulse Signal ◽  
Healthy Person ◽  
Resolving Power ◽  
Detection Methods ◽  
Heisenberg Uncertainty Principle ◽  
Hilbert Huang Transform ◽  
Heart Disease Patient

The practical wrist pulse of the healthy person and the coronary heart disease patient were analyzed by wavelet transform (WT) and hilbert huang transform ( HHT), and the characteristic information (percentage of energy density) of the pulse signal was discussed. The simulation results show that both WT and HHT are efficient ways in analyzing and processing pulse signal, and can draw main characteristic information from pulse signal. However the basis function is preselected in WT, it doesnt need to be preselected in HHT. In HHT the intrinsic mode function (IMF) is obtained by empirical mode decomposition (EMD), it can reflect the instantaneous frequency of pulse signal, and has the actual physical meaning. The resolving power of time and frequency in WT is restricted by Heisenberg uncertainty principle, and is restricted by each other. While the resolving power of time and frequency in HHT is adaptively changed according to signal intrinsic characteristics. The HHT is more adaptive than WT in analyzing pulse signal. The HHT can offer a new idea to diagnose cardiovascular disease by wrist pulse signal.

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

scholarly journals Coronary heart disease patient with implantable cardioverter desfibrilator and electrical storm submitted to ventricular tachycardia ablation

2012 ◽  
Vol 10 (1) ◽  
pp. 116-117
Author(s):  
Nilton José Carneiro da Silva ◽  
Bruno Pereira Valdigem ◽  
Christian Luize ◽  
Fernando Lopes Nogueira ◽  
Claudio Cirenza ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Ventricular Tachycardia ◽  
Disease Patient ◽  
Coronary Heart Disease Patient ◽  
Electrical Storm ◽  
Ventricular Tachycardia Ablation ◽  
Heart Disease Patient
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