Motion-oriented noisy physiological signal refining using embedded sensing platforms

Jaeyeon Park, Woojin Nam, Tae Young Kim, Sukhoon Lee, Dukyong Yoon, Jeonggil Ko

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

Abstract

Recent improvements in data learning techniques have catalyzed the development of various clinical learning systems. However, for clinical applications, training from noisy data can cause significant misleading results, directly leading to potentially dangerous clinical decisions. Given its importance, this work targets to present a preliminary effort to identify corrupted vital sign data by analyzing the patient motions on hospital beds. Specifically, we design an embedded sensor-based motion detection platform to capture and categorize different noise-causing motion on intensive care unit beds through a pre-deployment study at the Ajou University Hospital. We design light-weight and low-resource demanding software for motion sensor data processing and evaluate its performance from real-patient traces collected at the ICU. Evaluation results using a ∼200 minute data set show that our system detects and classifies patient motion states with 76% accuracy and well-identifies vital sign time-series regions affected by motion noise.

Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationSmarter Technology for a Healthier World, EMBC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4562-4565
Number of pages4
ISBN (Electronic)9781509028092
DOIs
Publication statusPublished - 2017 Sep 13
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of
Duration: 2017 Jul 112017 Jul 15

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
CountryKorea, Republic of
CityJeju Island
Period17/7/1117/7/15

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Park, J., Nam, W., Kim, T. Y., Lee, S., Yoon, D., & Ko, J. (2017). Motion-oriented noisy physiological signal refining using embedded sensing platforms. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 4562-4565). [8037871] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037871