Stockwell Transform Detector for Photoplethysmography Signal Segmentation

Victoria S. Marks, Christopher L. Felton, Robert W. Techentin, Barry Kent Gilbert, Victor A. Convertino, Michael Joseph Joyner, Timothy B Curry, David R. Holmes, Clifton R Haider

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

Abstract

Real-time embedded analysis of physiologic waveforms is critical to predict impending pathophysiology. While electrocardiogram (ECG) data is often analyzed to assess cardiovascular disease, there is recent evidence that photoplethysmography (PPG) can track blood loss and thereby alert to hypovolemia. In this work we present a Stockwell transform inspired filter bank to segment PPG waveforms. The Stockwell transform allows for computationally efficient frequency analysis. The proposed Stockwell filter bank utilizes a sparse time-frequency spectrum and is coupled to the Shannon energy envelope to extract PPG peaks. Finally, we demonstrate that the described method is tolerant to the presence of additive Gaussian noise.

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
Pages1239-1243
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

Photoplethysmography
Filter banks
Mathematical transformations
Detectors
Electrocardiography
Blood

Keywords

  • Photoplethysmography
  • Stockwell transform
  • Wearable devices

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Marks, V. S., Felton, C. L., Techentin, R. W., Gilbert, B. K., Convertino, V. A., Joyner, M. J., ... Haider, C. R. (2019). Stockwell Transform Detector for Photoplethysmography Signal Segmentation. In M. B. Matthews (Ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 (pp. 1239-1243). [8645540] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2018.8645540

Stockwell Transform Detector for Photoplethysmography Signal Segmentation. / Marks, Victoria S.; Felton, Christopher L.; Techentin, Robert W.; Gilbert, Barry Kent; Convertino, Victor A.; Joyner, Michael Joseph; Curry, Timothy B; 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. 1239-1243 8645540 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October).

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

Marks, VS, Felton, CL, Techentin, RW, Gilbert, BK, Convertino, VA, Joyner, MJ, Curry, TB, Holmes, DR & Haider, CR 2019, Stockwell Transform Detector for Photoplethysmography Signal Segmentation. in MB Matthews (ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018., 8645540, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2018-October, IEEE Computer Society, pp. 1239-1243, 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018, Pacific Grove, United States, 10/28/18. https://doi.org/10.1109/ACSSC.2018.8645540
Marks VS, Felton CL, Techentin RW, Gilbert BK, Convertino VA, Joyner MJ et al. Stockwell Transform Detector for Photoplethysmography Signal Segmentation. In Matthews MB, editor, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. IEEE Computer Society. 2019. p. 1239-1243. 8645540. (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2018.8645540
Marks, Victoria S. ; Felton, Christopher L. ; Techentin, Robert W. ; Gilbert, Barry Kent ; Convertino, Victor A. ; Joyner, Michael Joseph ; Curry, Timothy B ; Holmes, David R. ; Haider, Clifton R. / Stockwell Transform Detector for Photoplethysmography Signal Segmentation. Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. editor / Michael B. Matthews. IEEE Computer Society, 2019. pp. 1239-1243 (Conference Record - Asilomar Conference on Signals, Systems and Computers).
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