Wearable sensor based stress management using integrated respiratory and ECG waveforms

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

6 Scopus citations

Abstract

Wearable technology and mobile platforms are becoming more and more popular in health care. This paper introduces a real time stress management system using wearable sensors and Smartphone mobile platform. The new system estimates stress level in real time using heart rate variability and patient activity cycles, and provides relaxation exercises instantaneously to help manage stress. The system relies on a wearable sensor to collect data (i.e., heart rate and respiration rate) and transmits data to Smartphones using Bluetooth to further process data. We also introduce a new breathing template matching algorithm to identify the best breathing exercise for users. A 2D visualization display shows that stress can be effectively relieved by the proposed stress management system.

Original languageEnglish (US)
Title of host publication2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781467372015
DOIs
StatePublished - Oct 15 2015
Event12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 - Cambridge, United States
Duration: Jun 9 2015Jun 12 2015

Other

Other12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
CountryUnited States
CityCambridge
Period6/9/156/12/15

Keywords

  • Smartphone mobile platform
  • Stress management
  • Stress relaxation program
  • Wearable technology

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Health Informatics
  • Instrumentation
  • Signal Processing

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  • Cite this

    Chen, K., Fink, W., Wang, M., Lane, R. D., Allen, J. JB., & Vanuk, J. (2015). Wearable sensor based stress management using integrated respiratory and ECG waveforms. In 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 [7299369] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BSN.2015.7299369