BUILDING WEB INTERFACES FOR ULTRASOUND MEASUREMENT RESULTS VISUALIZATION WITH ANGULAR FRAMEWORK - Наукові конференції
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BUILDING WEB INTERFACES FOR ULTRASOUND MEASUREMENT RESULTS VISUALIZATION WITH ANGULAR FRAMEWORK

17.07.2024 21:38

[3. Технічні науки]

Автор: Liutak Zinoviy, Candidate of Technical Sciences, Docent, Department of information and measurement technologies Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk


Angular is a powerful framework for building dynamic and responsive web applications, making it an excellent choice for data visualization tasks. Its component-based architecture allows developers to create modular, reusable components that can be easily integrated into complex data visualization workflows. This modularity is particularly beneficial when dealing with large datasets or complex visual representations, such as those required for visualizing ultrasound measurement results. By breaking down the visualization into smaller, manageable components, developers can focus on optimizing each part of the interface, resulting in a more efficient and maintainable codebase. Furthermore, Angular's robust ecosystem includes a wide range of libraries and tools that facilitate the creation of sophisticated data visualizations [1]. For instance, Angular can be seamlessly integrated with popular visualization libraries like D3.js and Chart.js, enabling the development of highly interactive and customizable charts and graphs. These tools, combined with Angular's two-way data binding and reactive programming capabilities, allow for real-time updates and interactions with the data, providing users with an intuitive and engaging experience. This is crucial for applications that require the visualization of dynamic data, such as monitoring and analyzing ultrasound measurement results in real-time.

Modern trends in data visualization with Angular emphasize the importance of performance optimization and user experience. One significant trend is the use of WebAssembly (Wasm) to boost the performance of data-intensive visualizations. By leveraging WebAssembly, developers can execute performance-critical code more efficiently within the browser, leading to smoother and faster visualizations. This is particularly useful for applications that need to handle large volumes of data or perform complex calculations, such as those involved in ultrasound measurement analysis. Integrating WebAssembly with Angular allows for the development of high-performance visualizations that can run seamlessly across different devices and platforms. Another trend is the increasing use of machine learning and artificial intelligence to enhance data visualization capabilities. By incorporating machine learning algorithms, developers can create more insightful and predictive visualizations. For example, in the context of ultrasound measurement results, machine learning can be used to detect patterns and anomalies in the data, providing users with deeper insights and more accurate analyses. Angular's flexibility and extensibility make it an ideal framework for integrating these advanced technologies, allowing developers to build innovative and intelligent data visualization applications. Additionally, there is a growing focus on accessibility and usability in data visualization. Ensuring that visualizations are accessible to all users, including those with disabilities, is becoming a standard practice. Angular provides various tools and best practices for creating accessible web applications, such as ARIA (Accessible Rich Internet Applications) support and customizable components that can be tailored to meet specific accessibility requirements. By prioritizing accessibility, developers can create inclusive data visualization interfaces that provide valuable insights to a broader audience, enhancing the overall impact and reach of their applications. These trends highlight the evolving landscape of data visualization with Angular, emphasizing the importance of performance, intelligence, and inclusivity in modern web applications. By staying abreast of these trends, developers can leverage Angular's capabilities to create cutting-edge data visualization solutions that meet the demands of today's users.

In our application, we leverage the approach of smart and dumb components to enhance the efficiency and maintainability of our data visualization interfaces. Smart components, also known as container components, are responsible for managing the application's state and handling data fetching and processing. These components interact with services and APIs, receiving data from external devices, such as ultrasound measurement systems, and preparing it for visualization. By centralizing the data management logic within smart components, we ensure that our application remains modular and that each component has a clear, single responsibility. Dumb components, or presentational components, are focused solely on rendering the user interface and displaying the data received from smart components. These components are stateless and purely functional, which makes them reusable and easy to test. They receive data and callbacks as inputs and emit events as outputs, allowing them to remain decoupled from the application's state management. This separation of concerns not only simplifies the development process but also improves the application's performance and scalability. By utilizing the smart/dumb component approach, we can create a more organized and maintainable codebase, leading to a more robust and efficient data visualization application. In our specific case of visualizing ultrasound measurement results, the smart components are responsible for receiving data from ultrasound devices, processing this data, and managing its state within the application. They handle complex tasks such as data aggregation, filtering, and real-time updates. Once the data is processed, it is passed down to the dumb components, which then render the data into interactive charts, graphs, and other visual elements. This clear division of responsibilities ensures that our application can handle large volumes of data and provide users with an intuitive and responsive interface for analyzing ultrasound measurement results. By adopting this approach, we can easily extend and maintain our application. This flexibility allows us to continuously improve our application and adapt to changing user requirements and technological advancements. Overall, the smart/dumb component approach plays a crucial role in the success of our data visualization application, enabling us to deliver high-quality and scalable solutions for visualizing ultrasound measurement results.

References:

1. Angular - The modern web developer's platform. URL: https://angular.io/docs.



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