Medical Data Visual Synchronization and Information interaction Using Internet-based Graphics Rendering and Message-oriented Streaming

The rapid technology advances in medical devices make possible the generation of vast amounts of data, which contain massive quantities of diagnostic information. Interactively accessing and sharing the acquired data on the Internet is critically important in telemedicine. However, due to the lack of efficient algorithms and high computational cost, collaborative medical data exploration on the Internet is still a challenging task in clinical settings. Therefore, we develop a web-based medical image rendering and visual synchronization software platform, in which novel algorithms are created for parallel data computing and image feature enhancement, where Node.js and Socket.IO libraries are utilized to establish bidirectional connections between server and clients in real time. In addition, we design a new methodology to stream medical information among all connected users, whose identities and input messages can be automatically stored in database and extracted in web browsers. The presented software framework will provide multiple medical practitioners with immediate visual feedback and interactive information in applications such as collaborative therapy planning, distributed treatment, and remote clinical health care

Animating TTS Messages in Android using Open-Source Tools

ABSTRACT We describe in this paper how to use open-source resources to design and implement an Android application that renders a three-dimensional model of a human head to animate the lip movements of human speech from input text. The application utilizes the Android Text-To-Speech (TTS) engine[1] to convert any input text, which can be entered by the user in a text box or chosen from a menu of predefined messages, to human speech in English. Animation of the speech is carried out by a 3D graphics model of a human head composed of polygon meshes We use Java language to develop a parse