Adaptive Bandwidth Reservation and Scheduling for Efficient Wireless Telemedicine Traffic Transmission

Lu, Qiao; Koutsakis, P.

doi:10.1109/tvt.2010.2095472

Cited by 30 publications

(11 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [13], [14], and [15] for instance, the authors study bandwidth adaptation techniques for adaptive transmission of medical videos over the bandwidth-limited mobile networks, some targeting 4G and beyond small cells. Also, the authors in [16] target lower network layers in mobile tele-medicine, and propose a TDMA-based MAC layer scheme for bandwidth reservation among cells for tele-medicine traffic handoff.…”

Section: A Dynamic Adaptive Streamingmentioning

confidence: 99%

“…To ensure safety and effectiveness of emergency care during such ambulance patient transfer, reliable and real-time communication is essential. However, the wireless networks along the roads in rural areas range from 4G to 2G to low speed satellite links, which can result in periods of arXiv:1707.04918v1 [cs.NI] 16 Jul 2017 low fidelity communication bandwidth. Figure 1 illustrates a real-world example.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Hosseini

Jiang

Berlin

et al. 2017

IEEE Trans. Multimedia

View full text Add to dashboard Cite

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.

show abstract

Section: A Dynamic Adaptive Streamingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Hosseini

Jiang

Berlin

et al. 2017

IEEE Trans. Multimedia

View full text Add to dashboard Cite

show abstract

“…In the context of telemedicine, very little work has been done on topics of packet scheduling for medical images and videos. For instance, in [19], an adaptive bandwidth reservation scheme and fair scheduling scheme for telemedicine transmission is presented. The proposed scheduling approach gives importance 125 to the packets based on the type of traffic they are transmitting, i.e.…”

Section: Related Workmentioning

confidence: 99%

Content-aware packet scheduling strategy for medical ultrasound videos over LTE wireless networks

et al. 2018

View full text Add to dashboard Cite

In parallel to the advancements in communication technologies, telemedicine research has continually adapted to develop various healthcare applications. One of the latest wireless technologies that is Long-Term Evolution (LTE) is being increasingly deployed across developed countries and rapidly adopted by developing countries. In this paper, a content-aware packet scheduling approach for medical ultrasound videos is proposed. This work introduces a utility function based on the temporal complexity of the video frames. The utility function is used with four schedulers to prioritise the video packets based on their temporal complexity and type of frame (e.g., I frame). The results show that the utility function improves the packet delay performance obtained in our simulations when compared with content-unaware approaches. Further, gain in average PSNR and SSIM is also observed in the received video quality. Research on content-aware packet scheduling for telemedicine applications over advanced wireless networks is limited and our work contributes towards addressing this research gap.

show abstract

“…A wide range of biomedical devices and systems being integrated on a chip have been developed rapidly. Moreover, telemedicine information system with interactive and intelligent features has become increasingly important to provide the high quality healthcare monitoring [4].…”

Section: Introductionmentioning

confidence: 99%

A wireless electrocardiogram detection for personal health monitoring

Wang

Chen

Lee

et al. 2013

2013 1st International Conference on Orange Technologies (ICOT)

View full text Add to dashboard Cite

The current paper presents low-power analog integrated circuits (ICs) for wireless electrocardiogram (ECG) detection in personal health monitoring. Considering the power-efficient communication in the body sensor network (BSN), the required low-power analog ICs are developed for a healthcare system through miniaturization and system integration. The proposed system comprises the design and implementation with three subsystems, namely, (1) the ECG acquisition node, (2) the protocol for standard IEEE 802.15.4 ZigBee system, and (3) the radio frequency (RF) transmitter circuits. A preamplifier, a low-pass filter, and a successive-approximation analog-to-digital converter (SA-ADC) are integrated to detect an ECG signal. For high integration, the ZigBee protocol is adopted for wireless communication. To transmit the ECG signal through wireless communication, a quadrature voltage-controlled oscillator and a 2.4 GHz low-IF transmitter with a power amplifier and up-conversion mixer are also developed. In the receiver, a 2.4 GHz fully integrated CMOS radio-frequency front-end with a low-noise amplifier, and a quadrature mixer is proposed. The low-power wireless bio-signal acquisition SoC (WBSA-SoC) has been implemented in TSMC 0.18-μm standard CMOS process. The measurement results on the human body reveal that the ECG signals can be acquired effectively by the proposed SoC.I.

show abstract

Adaptive Bandwidth Reservation and Scheduling for Efficient Wireless Telemedicine Traffic Transmission

Cited by 30 publications

References 37 publications

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

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

Content-aware packet scheduling strategy for medical ultrasound videos over LTE wireless networks

A wireless electrocardiogram detection for personal health monitoring

Contact Info

Product

Resources

About