Abstract:
Medical data collected from different healthcare scenarios and a variety of IoT platforms is inevitably fragmented, partial and incomplete. In an effort to mitigate the p...Show MoreMetadata
Abstract:
Medical data collected from different healthcare scenarios and a variety of IoT platforms is inevitably fragmented, partial and incomplete. In an effort to mitigate the problem, a single medical IoT platform was utilized to cover both total course of disease and health management. And a set of technique standards were applied for easier connections of diverse medical IoT devices. In addition, the key techniques, architecture and applications of the presented platform across total course of disease and health management were introduced in this paper. So far the presented platform has been commercially employing and showed its potential to health data fusion, analysis and decision making. Furthermore, comprehensive coverage of health data across scenarios and devices is highly beneficial to next-generation of accurate health services, course analysis and medical predictions.
Published in: 2023 8th International Conference on Communication, Image and Signal Processing (CCISP)
Date of Conference: 17-19 November 2023
Date Added to IEEE Xplore: 21 December 2023
ISBN Information: