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

自作多情

創(chuàng)作

Stricture

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

水槽

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

corn732

superfluous

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

愛哭

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

脫水

Abū ?Alī al-?usayn ibn ?Abd 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

糾纏

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

Medley