Adaptive Clinical Data Communication for Remote Monitoring in Rural Ambulance Transport

Mohammad Hosseini, Richard R. Berlin, Yu Jiang, Lui Sha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For emergency medical cyber-physical systems, enhancing the safety and effectiveness of patient care, especially in rural ambulance transport, is essential. Use of telecommunication technologies can enhance effectiveness and safety of remote monitoring of patients by the physicians at the center hospital during ambulance transport and provides vital assistance to the emergency medical technicians (EMT) to associate best treatments. However, the communication along the roads in rural areas can range from 4G to 2G to low speed satellite links, with some parts suffering from communication breakage. This unreliable and limited communication bandwidth together with the produced mass of clinical data and the many information exchanges pose a major challenge in real-time and smooth supervision of patients. In this paper, we present parts of developed physiology-aware communication architecture, a bandwidth-compliant criticality-aware system for transmission of clinical data adaptive to varying bandwidths during patient transport. We propose adaptation techniques to transmit more critical 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 to collect communication traces to support our experiments. Our evaluation results show that our solutions ensure that most critical patient's clinical data are communicated with higher fidelity.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 2nd International Conference on Connected Health
Subtitle of host publicationApplications, Systems and Engineering Technologies, CHASE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages245-246
Number of pages2
ISBN (Electronic)9781509047215
DOIs
StatePublished - Aug 14 2017
Event2nd IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017 - Philadelphia, United States
Duration: Jul 17 2017Jul 19 2017

Publication series

NameProceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017

Other

Other2nd IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017
CountryUnited States
CityPhiladelphia
Period7/17/177/19/17

Fingerprint

Ambulances
Communication
monitoring
Bandwidth
Monitoring
communication
Emergency Medical Technicians
Safety
Telecommunications
Satellite links
technician
information exchange
Physiology
physiology
Physiologic Monitoring
patient care
telecommunication
Telecommunication
supervision
Patient Care

Keywords

  • adaptive data transmission
  • bandwidth saving
  • medical CPS
  • physiological data communication

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Health(social science)
  • Communication
  • Computer Science Applications
  • Software
  • Biomedical Engineering
  • Health Informatics

Cite this

Hosseini, M., Berlin, R. R., Jiang, Y., & Sha, L. (2017). Adaptive Clinical Data Communication for Remote Monitoring in Rural Ambulance Transport. In Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017 (pp. 245-246). [8010640] (Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CHASE.2017.85

Adaptive Clinical Data Communication for Remote Monitoring in Rural Ambulance Transport. / Hosseini, Mohammad; Berlin, Richard R.; Jiang, Yu; Sha, Lui.

Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 245-246 8010640 (Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hosseini, M, Berlin, RR, Jiang, Y & Sha, L 2017, Adaptive Clinical Data Communication for Remote Monitoring in Rural Ambulance Transport. in Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017., 8010640, Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017, Institute of Electrical and Electronics Engineers Inc., pp. 245-246, 2nd IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017, Philadelphia, United States, 7/17/17. https://doi.org/10.1109/CHASE.2017.85
Hosseini M, Berlin RR, Jiang Y, Sha L. Adaptive Clinical Data Communication for Remote Monitoring in Rural Ambulance Transport. In Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 245-246. 8010640. (Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017). https://doi.org/10.1109/CHASE.2017.85
Hosseini, Mohammad ; Berlin, Richard R. ; Jiang, Yu ; Sha, Lui. / Adaptive Clinical Data Communication for Remote Monitoring in Rural Ambulance Transport. Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 245-246 (Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017).
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