Towards QoE Optimization in Medical Multimedia Services for Decentralized IoT-based Applications

Fourth industrial revolution ally for elderly patients. As QoS is not the appropriate entity to express the feelings and expectations of the end-users i.e., elderly patients. Therefore, the quality of experience in medical media (QoEMM) services is quite important. This research optimizes the medical media service such as, electrocardiogram (ECG) for the elderly patients by adopting wearable devices with large screen. Due to small size, and resource-constrained nature of those handheld devices it is hard to satisfy the end user's perception while monitoring the elderly emergency patients. Besides, how the elderly patient's QoE during medical media ECG data transmission can be captured, for this purpose first, framework of QoEMM is developed by adopting acquisition time. Second, the relationship between subjective test score (i.e. surveyed data) and objective performance metrics (i.e., energy consumption and entropy) with acquisition time and actual time of ECG service is established. It is revealed through extensive real-time subjective data sets in experimental setup that QoEMM is optimized through portable devices, and correlated with QoS parameters during medical media ECG service to improve the satisfaction level of end-users.