Toward Physiology-Aware DASH: Bandwidth-Compliant Prioritized Clinical Multimedia Communication in Ambulances

Abstract

Abstract-The ultimate objective of medical cyber-physical systems is to enhance the safety and effectiveness of patient care. To ensure safe and effective care during emergency patient transfer from rural areas to center tertiary hospitals, reliable and real-time communication is essential. Unfortunately, real-time monitoring of patients involves transmission of various clinical multimedia data including videos, medical images, and vital signs, which requires use of mobile network with high-fidelity communication bandwidth. However, the wireless networks along the roads in rural areas range from 4G to 2G to low speed satellite links, which poses a significant challenge to transmit critical patient information.In this paper, we present a bandwidth-compliant criticalityaware system for transmission of massive clinical multimedia data adaptive to varying bandwidths during patient transport. Model-based clinical automata are used to determine the criticality of clinical multimedia data. We borrow concepts from DASH, and propose physiology-aware adaptation techniques to transmit more critical clinical data with higher fidelity in response to changes in disease, clinical states, and bandwidth condition. In collaboration with Carle's ambulance service center, we develop a bandwidth profiler, and use it as proof of concept to support our experiments. Our preliminary evaluation results show that our solutions ensure that most critical patient's clinical data are communicated with higher fidelity. ACKNOWLEDGMENTThis paper reviews a technology package that is the result of a team effort. Lui Sha led the development of model-driven multimedia clinical systems and all system integration. Yu Jiang and Houbing Song helped with the development of physiological and cyber-physical models. Richard Berlin guided the study of patient emergency care, physiological multimedia data, and medical correctness. Mohammad Hosseini led the design and development of the multimedia communication system, adaptation system, heuristic algorithms, as well as development of the profiler app and conducting experiments and evaluations.

A Mobile Geo-Communication Dataset for Physiology-Aware DASH in Rural Ambulance Transport

“…Our collection of traces in this dataset paper follows our previous work to support and validate the design of our physiological message-exchange architecture. It also supports our ongoing work of proposing "physiology-aware DASH" [9] to extend DASH towards prioritized physiology awareness for the purpose of adaptive clinical multimedia transmission with higher bitrate assigned to more critical clinical multimedia given patient's physiological states and available bandwidth.…”

“…Various clinical multimedia can have different priorities depending on the patient's physiological states in context of speci c acute diseases. We use our dataset to support our proposition the notion of "physiology-aware DASH " [9] to extend DASH towards physiology awareness, and study the semantics relation between dynamically changing bandwidth and the physiological priority of communicated clinical multimedia. e insights from our dataset can be crucial in improving the e ectiveness of remote patient care through adaptive transmission of various clinical multimedia and transmit more critical clinical multimedia with higher bitrate in response to varying bandwidth as well as changes in the disease and patient's clinical states.…”

An Innovative Machine-Learning-Based Scheduling Solution for Improving Live UHD Video Streaming Quality in Highly Dynamic Network Environments

“…However, to accommodate a high number of users with enhanced QoE levels within the 5G radio access network, system bandwidth needs to be properly managed. According to [17], two adaptation methods classes can be considered to deal with the bandwidth efficiency in order to improve QoS and QoE, such as: passive and active. The active approaches aim to improve the bandwidth allocation by using scheduling algorithms, whereas passive ones refer more to bandwidthcompliant adaptation techniques that adapt the multimedia transmission to the available bandwidth.…”

“…A passive method used for traffic prioritization and bandwidth adaptation is proposed in [17] to manage the transmission of massive clinical applications in high-speed ambulance scenario under variable and limited communication bandwidth. The approach works in two stages: a) the clinical multimedia data is prioritized in four classes based on the disease model and the criticality of each model; b) according to the available bandwidth, different heuristic algorithms are proposed to reduce the clinical data rates according to their priority class.…”

Model Predictive Control-Based 3D Navigation of a RIS-Equipped UAV for LoS Wireless Communication With a Ground Intelligent Vehicle

“…The real-time monitoring of patients involves the transmission of various clinical multimedia data, including videos, medical images, and vital signs, which requires the use of mobile networks with high-fidelity communication bandwidth [27].…”