Preprint: Bigdata Oriented Multimedia Mobile Health Applications
Zhihan Lv, Javier Chirivella, Pablo Gagliardo

TL;DR
This paper introduces two bigdata-oriented mobile health applications: a VR-based system for hyperbaric chamber experience enhancement and a voice-interactive game for rehabilitation, demonstrating their potential in health data collection and patient monitoring.
Contribution
It presents novel mHealth applications leveraging bigdata for improved patient experience and rehabilitation monitoring, including VR and voice-interactive systems.
Findings
VR system tested with multiple HMDs showing improved user experience
Voice analysis used to evaluate and predict rehabilitation progress
Applications demonstrate potential for bigdata integration in mHealth
Abstract
This is the preprint version of our paper on JOMS. In this paper, two mHealth applications are introduced, which can be employed as the terminals of bigdata based health service to collect information for electronic medical records (EMRs). The first one is a hybrid system for improving the user experience in the hyperbaric oxygen chamber by 3D stereoscopic virtual reality glasses and immersive perception. Several HMDs have been tested and compared. The second application is a voice interactive serious game as a likely solution for providing assistive rehabilitation tool for therapists. The recorder of the voice of patients could be analysed to evaluate the long-time rehabilitation results and further to predict the rehabilitation process.
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Taxonomy
TopicsAdvanced Computing and Algorithms · AI and Big Data Applications
