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Mohammad Mahbubur Rahman Khan Mamun and Tarek Elfouly
Contemporary methods used to interpret the electrocardiogram (ECG) signal for diagnosis or monitoring are based on expert knowledge and rule-centered algorithms. In recent years, with the advancement of artificial intelligence, more and more researchers ...
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Ashwin Roy, Mohamed Mansour, David Oxborough, Tarekegn Geberhiwot and Richard Steeds
Fabry disease (FD) is a rare X-linked lysosomal storage disorder manifesting as progressive multi-organ accumulation of sphingolipids due to deficiency in the enzyme a-Galactosidase A. Sphingolipid accumulation can take place in all cardiac cell types wh...
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Weibo Song
The proper evaluation of heart health requires professional medical experience. Therefore, in clinical diagnosis practice, the development direction is to reduce the high dependence of the diagnosis process on medical experience and to more effectively i...
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Siti Nurmaini, Radiyati Umi Partan, Wahyu Caesarendra, Tresna Dewi, Muhammad Naufal Rahmatullah, Annisa Darmawahyuni, Vicko Bhayyu and Firdaus Firdaus
An automated classification system based on a Deep Learning (DL) technique for Cardiac Disease (CD) monitoring and detection is proposed in this paper. The proposed DL architecture is divided into Deep Auto-Encoders (DAEs) as an unsupervised form of feat...
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Marwah Abdulrazzaq Naser, Aso Ahmed Majeed, Muntadher Alsabah, Taha Raad Al-Shaikhli and Kawa M. Kaky
Cardiovascular disease is the leading cause of global mortality and responsible for millions of deaths annually. The mortality rate and overall consequences of cardiac disease can be reduced with early disease detection. However, conventional diagnostic ...
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Zrinka Biloglav, Petar Medakovic, Josip Curic, Ivan Padjen, Dominic Vidovic, William Anthonius Allan Migo and Ivana ?krlec
This comprehensive epidemiological analysis provides detailed insight into epidemiological trends of ischemic heart disease and cardiac interventions in Mediterranean countries. Variations among countries are mainly attributable to different levels of pr...
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Chingiz Alimbayev,Zhadyra Alimbayeva,Kassymbek Ozhikenov,Oleg Bodin,Yerkat Mukazhanov
Pág. 12 - 22
Cardiovascular diseases continue to be the main cause of mortality. According to the official source, over the past three years in Kazakhstan, an average of 179,200 people dies from the coronary disease per year. 1,360,000 people suffer from th...
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Peter Morfeld, Kenneth A. Mundt, Linda D. Dell, Tom Sorahan and Robert J. McCunney
Epidemiological studies have demonstrated associations between airborne environmental particle exposure and cardiac disease and mortality; however, few have examined such effects from poorly soluble particles of low toxicity such as manufactured carbon b...
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José de Almeida, Sofia Martinho, Lino Gonçalves and Maria Ferreira
With advances in scanner technology, postprocessing techniques, and the development of novel positron emission tomography (PET) tracers, the applications of PET for the study of coronary heart disease have been gaining momentum in the last few years. Dep...
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Jun-Seong Kim, Kun-Woo Kim, Se-Ro Kim, Tae-Gyeong Woo, Joong-Wha Chung, Seong-Won Yang and Seong-Yong Moon
Echocardiography is a medical examination that uses ultrasound to assess and diagnose the structure and function of the cardiac. Through the use of ultrasound waves, this examination allows medical professionals to create visualizations of the cardiac mu...
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Abhilash Pati, Manoranjan Parhi, Mohammad Alnabhan, Binod Kumar Pattanayak, Ahmad Khader Habboush and Mohammad K. Al Nawayseh
Recently, it has proven difficult to make an immediate remote diagnosis of any coronary illness, including heart disease, diabetes, etc. The drawbacks of cloud computing infrastructures, such as excessive latency, bandwidth, energy consumption, security,...
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Sharanya Senthamil Selvan, Sridhar P. Arjunan, Ramakrishnan Swaminathan and Dinesh Kant Kumar
Early-stage detection of cardiac autonomic neuropathy (CAN) is important for better management of the disease and prevents hospitalization. This study has investigated the complex nature of PR, QT, RR, and ST time segments of ECG signals by computing the...
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Zhengchun Hua, Chen Chen, Ruiqi Zhang, Guangyuan Liu and Wanhui Wen
Previous studies have attempted to find autonomic differences of the cardiac system between the congestive heart failure (CHF) disease and healthy groups using a variety of algorithms of pattern recognition. By comparing previous literature, we have foun...
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Riyanto Sigit, Zainal Arief, Mochamad Mobed Bachtiar
Pág. 99 - 114
The main problem encountered nowadays in the health field, especially in health care is the growing number of population and the decreasing health facilities. In this regard, healthcare kiosk is used as an alternative to the health care facilities. Heart...
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Anna Procopio, Salvatore De Rosa, Francesco Montefusco, Giovanni Canino, Alessio Merola, Jolanda Sabatino, Claudia Critelli, Ciro Indolfi, Francesco Amato and Carlo Cosentino
The release of the cardiac troponin T (cTnT) in patients with acute myocardial infarction (AMI) has been analyzed through a methodology based on nonlinear mixed-effects (NME) models. The aim of this work concerns the investigation of any possible relatio...
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Dengyong Zhang, Shanshan Wang, Feng Li, Jin Wang, Arun Kumar Sangaiah, Victor S. Sheng and Xiangling Ding
Electrocardiographic (ECG) signal is essential to diagnose and analyse cardiac disease. However, ECG signals are susceptible to be contaminated with various noises, which affect the application value of ECG signals. In this paper, we propose an ECG signa...
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Yousef Alharbi
Valvular heart conditions significantly contribute to the occurrence of cardiovascular disease, affecting around 2?3 million people in the United States. The anatomical characteristics of cardiac muscles and valves can significantly influence blood flow ...
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Chung-Hsien Liu, Ming-Jen Tsai, Chi-Feng Hsu, Cheng-Han Tsai, Yao-Sing Su and Deng-Chuan Cai
The Emergency Medical Services (EMS) system faced overwhelming challenges during the coronavirus disease 2019 (COVID-19) pandemic. However, further information is required to determine how the pandemic affected the EMS response and the clinical outcomes ...
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Junbin Zang, Juliang Wang, Zhidong Zhang, Yongqiu Zheng and Chenyang Xue
Cardiovascular disease and its consequences on human health have never stopped and even show a trend of appearing in increasingly younger generations. The establishment of an excellent deep learning algorithm model to assist physicians in identifying and...
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Masaaki Komatsu, Akira Sakai, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Kanto Shozu, Ai Dozen, Hidenori Machino, Hirokazu Hidaka, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa and Ryuji Hamamoto
Artificial Intelligence (AI) technologies have recently been applied to medical imaging for diagnostic support. With respect to fetal ultrasound screening of congenital heart disease (CHD), it is still challenging to achieve consistently accurate diagnos...
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