Abstract
Developments and new advances in medical technology and the improvement of people’s living standards have helped to make many people healthier. However, there are still large design deficiencies due to the imbalanced distribution of medical resources, especially in developing countries. To address this issue, a video conference-based telemedicine system is deployed to break the limitations of medical resources in terms of time and space. By outsourcing medical resources from big hospitals to rural and remote ones, centralized and high quality medical resources can be shared to achieve a higher salvage rate while improving the utilization of medical resources. Though effective, existing telemedicine systems only treat patients’ physiological diseases, leaving another challenging problem unsolved: How to remotely detect patients’ emotional state to diagnose psychological diseases. In this paper, we propose a novel healthcare system based on a 5G Cognitive System (5G-Csys). The 5G-Csys consists of a resource cognitive engine and a data cognitive engine. Resource cognitive intelligence, based on the learning of network contexts, aims at ultra-low latency and ultra-high reliability for cognitive applications. Data cognitive intelligence, based on the analysis of healthcare big data, is used to handle a patient’s health status physiologically and psychologically. In this paper, the architecture of 5G-Csys is first presented, and then the key technologies and application scenarios are discussed. To verify our proposal, we develop a prototype platform of 5G-Csys, incorporating speech emotion recognition. We present our experimental results to demonstrate the effectiveness of the proposed system. We hope this paper will attract further research in the field of healthcare based on 5G cognitive systems.
Highlights
With the development of medical technology, medical theory, medical equipment, and disease prevention, along with the improvement of people’s nutritional level, people’s health condition has been improved noticeably [1]
We present a platform of the 5G cognitive system for speech emotion recognition
We propose the 5G cognitive system (5G-Csys) for healthcare
Summary
With the development of medical technology, medical theory, medical equipment, and disease prevention, along with the improvement of people’s nutritional level, people’s health condition has been improved noticeably [1]. A challenging problem is how to train 5GCS-Health-Sys to obtain high-level cognitive intelligence for perceiving user emotion and achieve real-time emotion communications. In 5GCS-Health-Sys, remote sensing of surgical and emotional states requires real-time and reliable delivery. The design of 5GCS-Health-Sys is facing the following three challenges: (i) ultra-low latency; (ii) ultra-high reliability; (iii) medical cognitive intelligence. In response to these three challenges, in this paper, we first present the system framework of 5G-Csys, including the design of the network architecture and communication modes. We propose a novel 5GCS-Health-Sys. The system can enable remote treatment for physiological diseases, and achieve emotional and psychological cognition for human beings.
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