On the Design of a Physiological Signal Feature Extraction and Segmentation Digital Subsystem

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

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

Abstract

Real-time and compact algorithms are desired for wearable physiologic monitoring devices. We present a QRS waveform detection algorithm, inspired by the Stockwell time-frequency transform and targeted to embedded architectures. The proposed QRS detector uses a complex filter for feature extraction and efficient estimations to achieve minimal computations and limited digital hardware resources. The QRS detector algorithm is demonstrated to reduce the computational cost and maintain accuracy.

Original languageEnglish (US)
Title of host publicationConference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages208-212
Number of pages5
ISBN (Electronic)9781538692189
DOIs
StatePublished - Feb 19 2019
Event52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
Duration: Oct 28 2018Oct 31 2018

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2018-October
ISSN (Print)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
CountryUnited States
CityPacific Grove
Period10/28/1810/31/18

Fingerprint

Feature extraction
Detectors
Hardware
Monitoring
Costs

Keywords

  • Electrocardiogram
  • Photoplethysmography
  • QRS
  • Wearable

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Felton, C. L., Gilbert, B. K., Holmes, D. R., & Haider, C. R. (2019). On the Design of a Physiological Signal Feature Extraction and Segmentation Digital Subsystem. In M. B. Matthews (Ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 (pp. 208-212). [8645139] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2018.8645139

On the Design of a Physiological Signal Feature Extraction and Segmentation Digital Subsystem. / Felton, Christopher L.; Gilbert, Barry Kent; Holmes, David R.; Haider, Clifton R.

Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. ed. / Michael B. Matthews. IEEE Computer Society, 2019. p. 208-212 8645139 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October).

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

Felton, CL, Gilbert, BK, Holmes, DR & Haider, CR 2019, On the Design of a Physiological Signal Feature Extraction and Segmentation Digital Subsystem. in MB Matthews (ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018., 8645139, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2018-October, IEEE Computer Society, pp. 208-212, 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018, Pacific Grove, United States, 10/28/18. https://doi.org/10.1109/ACSSC.2018.8645139
Felton CL, Gilbert BK, Holmes DR, Haider CR. On the Design of a Physiological Signal Feature Extraction and Segmentation Digital Subsystem. In Matthews MB, editor, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. IEEE Computer Society. 2019. p. 208-212. 8645139. (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2018.8645139
Felton, Christopher L. ; Gilbert, Barry Kent ; Holmes, David R. ; Haider, Clifton R. / On the Design of a Physiological Signal Feature Extraction and Segmentation Digital Subsystem. Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. editor / Michael B. Matthews. IEEE Computer Society, 2019. pp. 208-212 (Conference Record - Asilomar Conference on Signals, Systems and Computers).
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