Titlebook: Applications of Intelligent Technologies in Healthcare; Fazlullah Khan,Mian Ahmad Jan,Muhammad Alam Book 2019 Springer Nature Switzerland

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Fully Automated Identification of Heart Sounds for the Analysis of Cardiovascular Pathology,ardiovascular diseases (CVD). So there is a dire need to develop cost-effective, time-efficient, and fully automated solutions to diagnose cardiovascular abnormalities. Many researchers have worked on detecting CVD from electrocardiogram (ECG) signals. ECG signals give reliable information about car

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Modeling and Simulation of Resource-Constrained Vaccination Strategies and Epidemic Outbreaks,pose a threat to developed countries as well. We have developed an epidemic scenario simulator to assist in choice of optimal vaccination strategy in case of scarce resources. The objective of this model is to explore the impact of different strategies on virus spread for different diseases. It is k

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Internet of Things-Based Healthcare: Recent Advances and Challenges,The range of IoT applications is widespread, including smart healthcare. The IoT uprising is remodeling current healthcare to achieve a favorable economic, social, and technological vision. This chapter investigates improvements in IoT-based healthcare services and technologies and surveys the funda

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Mortimer Sellers,Stephan Kirste during acquisition process makes the detection process a challenging task. In this paper, a complete framework for heart sound classification is proposed. The proposed system introduces the concept of quality assessment before extraction of features and classification of heart sounds. The signal qu

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Abū ʿAlī al-Ḥusayn ibn ʿAbd Allāh ibn Sīnāeart beat signals are fed to a feed-forward artificial neural network to discriminate between the heart sounds S1, S2, and noise. Evaluations are carried out on a publicly available dataset, and the system performance on individual as well as combined features is studied with and without the applica

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Alexy, Robert: Philosophy of Law very important for clinical applications. The aim of this paper is to make segmentation of lung region accurately. In this paper, lung mask is calculated by taking the average of manual masks of most similar training images, and graph cut segmentation is applied with kernel energy to extract accura

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