Data Compression via Low Complexity Delta Transition Lossless Encoding for Remote Physiological and Environmental Monitoring

Christopher L. Felton, Barry Kent Gilbert, Clifton R Haider

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

Abstract

Continuous remote physiologic and environmental monitoring, employing an ever-increasing array of sensors, is now commonplace. Given the significant amount of data being digitized, two common sources of energy consumption can be targeted to improve device runtime: data storage and data transmission. One embedded method to maximize device runtime is inline low energy data compression. Herein we present a low complexity data encoding scheme. We list and characterize the parameters necessary for encoding. The encoding method is then evaluated and tuned using contrived data with varying degrees of covariance, as well as open-source electrocardiography (ECG) data. Finally, the encoding method is evaluated with tri-axial accelerometry and ECG data previously collected on a Mount Everest Expedition using a remote physiologic monitor that was specifically designed for long autonomous runtimes. With the described low overhead delta transition lossless encoding method, the Mt. Everest device runtime would have doubled from two to four weeks of continuous recording. Finally, this approach would be beneficial given a requirement to transmit data wirelessly in real time, since the total transmission power and energy would be reduced by an amount related to the compression ratio.

Original languageEnglish (US)
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4379-4384
Number of pages6
Volume2018-July
ISBN (Electronic)9781538636466
DOIs
StatePublished - Oct 26 2018
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: Jul 18 2018Jul 21 2018

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
CountryUnited States
CityHonolulu
Period7/18/187/21/18

Fingerprint

Data Compression
Environmental Monitoring
Data compression
Physiologic Monitoring
Electrocardiography
Monitoring
Information Storage and Retrieval
Power transmission
Equipment and Supplies
Data communication systems
Energy utilization
Accelerometry
Expeditions
Data storage equipment
Sensors

Keywords

  • Compression
  • Electrocardiography
  • Encoding
  • Lossless
  • Motion
  • Physiological Monitors
  • Wearables

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Felton, C. L., Gilbert, B. K., & Haider, C. R. (2018). Data Compression via Low Complexity Delta Transition Lossless Encoding for Remote Physiological and Environmental Monitoring. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 (Vol. 2018-July, pp. 4379-4384). [8513277] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2018.8513277

Data Compression via Low Complexity Delta Transition Lossless Encoding for Remote Physiological and Environmental Monitoring. / Felton, Christopher L.; Gilbert, Barry Kent; Haider, Clifton R.

40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018. p. 4379-4384 8513277.

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

Felton, CL, Gilbert, BK & Haider, CR 2018, Data Compression via Low Complexity Delta Transition Lossless Encoding for Remote Physiological and Environmental Monitoring. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. vol. 2018-July, 8513277, Institute of Electrical and Electronics Engineers Inc., pp. 4379-4384, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, United States, 7/18/18. https://doi.org/10.1109/EMBC.2018.8513277
Felton CL, Gilbert BK, Haider CR. Data Compression via Low Complexity Delta Transition Lossless Encoding for Remote Physiological and Environmental Monitoring. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Vol. 2018-July. Institute of Electrical and Electronics Engineers Inc. 2018. p. 4379-4384. 8513277 https://doi.org/10.1109/EMBC.2018.8513277
Felton, Christopher L. ; Gilbert, Barry Kent ; Haider, Clifton R. / Data Compression via Low Complexity Delta Transition Lossless Encoding for Remote Physiological and Environmental Monitoring. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018. pp. 4379-4384
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