فهرس المقالات Cardiac

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  1 - Early Detection of Pediatric Heart Disease by Automated Spectral Analysis of Phonocardiogram
  Azra Rasouli Kenari
  10.7508/jist.2015.02.001
  Early recognition of heart disease is an important goal in pediatrics. Developing countries have a large population of children living with undiagnosed heart murmurs. As a result of an accompanying skills shortage, most of these children will not get the necessary treat أکثر

  Early recognition of heart disease is an important goal in pediatrics. Developing countries have a large population of children living with undiagnosed heart murmurs. As a result of an accompanying skills shortage, most of these children will not get the necessary treatment. Taking into account that heart auscultation remains the dominant method for heart examination in the small health centers of the rural areas and generally in primary healthcare setups, the enhancement of this technique would aid significantly in the diagnosis of heart diseases. The detection of murmurs from phonocardiographic recordings is an interesting problem that has been addressed before using a wide variety of techniques. We designed a system for automatically detecting systolic murmurs due to a variety of conditions. This could enable health care providers in developing countries with tools to screen large amounts of children without the need for expensive equipment or specialist skills. For this purpose an algorithm was designed and tested to detect heart murmurs in digitally recorded signals. Cardiac auscultatory examinations of 93 children were recorded, digitized, and stored along with corresponding echocardiographic diagnoses, and automated spectral analysis using discrete wavelet transforms was performed. Patients without heart disease and either no murmur or an innocent murmur (n = 40) were compared to patients with a variety of cardiac diagnoses and a pathologic systolic murmur present (n = 53). A specificity of 100% and a sensitivity of 90.57% were achieved using signal processing techniques and a k-nn as classifier. تفاصيل المقالة
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  2 - Evaluation of Pattern Recognition Techniques in Response to Cardiac Resynchronization Therapy (CRT)
  Mohammad Nejadeh Peyman Bayat Jalal Kheirkhah Hassan Moladoust
  10.29252/jist.8.31.197
  Cardiac resynchronization therapy (CRT) improves cardiac function in patients with heart failure (HF), and the result of this treatment is decrease in death rate and improving quality of life for patients. This research is aimed at predicting CRT response for the progno أکثر

  Cardiac resynchronization therapy (CRT) improves cardiac function in patients with heart failure (HF), and the result of this treatment is decrease in death rate and improving quality of life for patients. This research is aimed at predicting CRT response for the prognosis of patients with heart failure under CRT. According to international instructions, in the case of approval of QRS prolongation and decrease in ejection fraction (EF), the patient is recognized as a candidate of implanting recognition device. However, regarding many intervening and effective factors, decision making can be done based on more variables. Computer-based decision-making systems especially machine learning (ML) are considered as a promising method regarding their significant background in medical prediction. Collective intelligence approaches such as particles swarm optimization (PSO) algorithm are used for determining the priorities of medical decision-making variables. This investigation was done on 209 patients and the data was collected over 12 months. In HESHMAT CRT center, 17.7% of patients did not respond to treatment. Recognizing the dominant parameters through combining machine recognition and physician’s viewpoint, and introducing back-propagation of error neural network algorithm in order to decrease classification error are the most important achievements of this research. In this research, an analytical set of individual, clinical, and laboratory variables, echocardiography, and electrocardiography (ECG) are proposed with patients’ response to CRT. Prediction of the response after CRT becomes possible by the support of a set of tools, algorithms, and variables. تفاصيل المقالة
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  3 - Effects of eight weeks resistance training on cardiac fibrosis in elderly rats
  حسین  عابد نطنزی Fateme Godarzi Marzie Mazrae Khatiri
  Background and Purpose: The purpose of this study was to investigate the effect of eight weeks of resistance training on the improvement or prevention of cardiac fibrosis in elderly rats. Main Topic this study was to investigate the effect of eight weeks of resistance أکثر

  Background and Purpose: The purpose of this study was to investigate the effect of eight weeks of resistance training on the improvement or prevention of cardiac fibrosis in elderly rats. Main Topic this study was to investigate the effect of eight weeks of resistance training on the rehabilitation or prevention of cardiac fibrosis in elderly rats. Materials and Methods: In this experimental study, 18 Wistar rats with mean age of 24 months were randomly divided into control and endurance training groups (9 rats in each group). After a week of familiarization and adaptation, the experimental group performed their training program on a rats' resistance training ladder for 8 weeks and 5 days per week. The control group did not perform any exercise during this time. Research variables were measured by ELISA method and histological tests by trichrome-staining. For inferential analysis of data from independent t-test was used. Results: The results showed that eight weeks of aerobic training had a significant effect on SOD (P = 0.001), CAT (P = 0.006), GPX (P = 0.012), TGF (P = 0.001) and Tissue collagen in cardiac tissue of elderly rats. It has. Conclusion: The results of the present study confirm the positive role of resistance training in improving cardiac fibrosis due to collagen depletion due to TGF-β inhibition and its signaling pathway due to the improvement of cardiac tissue antioxidant enzymes. These exercises can be used to rehabilitate or prevent cardiac fibrosis. تفاصيل المقالة
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  4 - Effects of eight weeks resistance training on cardiac fibrosis in elderly rats
  Fateme   Guderzi Hossein  Abed Natanzi Marzieh   Mazrae Khatiri
  Background: The purpose of this study was to investigate the effect of eight weeks of resistance training on the improvement or prevention of cardiac fibrosis in elderly rats. Main Topic this study was to investigate the effect of eight weeks of resistance training on t أکثر

  Background: The purpose of this study was to investigate the effect of eight weeks of resistance training on the improvement or prevention of cardiac fibrosis in elderly rats. Main Topic this study was to investigate the effect of eight weeks of resistance training on the rehabilitation or prevention of cardiac fibrosis in elderly rats. Materials and Methods: In this experimental study, 18 Wistar rats with mean age of 24 months were randomly divided into control and endurance training groups (9 rats in each group). After a week of familiarization and adaptation, the experimental group performed their training program on a rats' resistance training ladder for 8 weeks and 5 days per week. The control group did not perform any exercise during this time. Research variables were measured by ELISA method and histological tests by trichrome-staining. For inferential analysis of data from independent t-test was used. Results: The results showed that eight weeks of aerobic training had a significant effect on SOD (P = 0.001), CAT (P = 0.006), GPX (P = 0.012), TGF (P = 0.001) and Tissue collagen in cardiac tissue of elderly rats. It has. Conclusion: The results of the present study confirm the positive role of resistance training in improving cardiac fibrosis due to collagen depletion due to TGF-β inhibition and its signaling pathway due to the improvement of cardiac tissue antioxidant enzymes. These exercises can be used to rehabilitate or prevent cardiac fibrosis. تفاصيل المقالة