Searching arousals

A fuzzy logic approach

Ramiro Chaparro-Vargas, Beena Ahmed, Thomas Penzel, Dean Cvetkovic

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

1 Citation (Scopus)

Abstract

This paper presents a computational approach to detect spontaneous, chin tension and limb movement-related arousals by estimating neuronal and muscular activity. Features extraction is carried out by Time Varying Autoregressive Moving Average (TVARMA) models and recursive particle filtering. Classification is performed by a fuzzy inference system with rule-based decision scheme based upon the AASM scoring rules. Our approach yielded two metrics: arousal density and arousal index to comply with standardised clinical benchmarking. The obtained statistics achieved error deviation around -1/5 to -30. These results showed that our system can differentiate amongst 3 different types of arousals, subject to inter-subject variability and up-to-date scoring references.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2754-2757
Number of pages4
Volume2015-November
ISBN (Electronic)9781424492718
DOIs
Publication statusPublished - 4 Nov 2015
Externally publishedYes
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: 25 Aug 201529 Aug 2015

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period25/8/1529/8/15

Fingerprint

Error statistics
Fuzzy Logic
Fuzzy inference
Benchmarking
Arousal
Fuzzy logic
Feature extraction
Chin
Extremities

ASJC Scopus subject areas

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

Cite this

Chaparro-Vargas, R., Ahmed, B., Penzel, T., & Cvetkovic, D. (2015). Searching arousals: A fuzzy logic approach. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (Vol. 2015-November, pp. 2754-2757). [7318962] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7318962

Searching arousals : A fuzzy logic approach. / Chaparro-Vargas, Ramiro; Ahmed, Beena; Penzel, Thomas; Cvetkovic, Dean.

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 2754-2757 7318962.

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

Chaparro-Vargas, R, Ahmed, B, Penzel, T & Cvetkovic, D 2015, Searching arousals: A fuzzy logic approach. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. vol. 2015-November, 7318962, Institute of Electrical and Electronics Engineers Inc., pp. 2754-2757, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 25/8/15. https://doi.org/10.1109/EMBC.2015.7318962
Chaparro-Vargas R, Ahmed B, Penzel T, Cvetkovic D. Searching arousals: A fuzzy logic approach. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2754-2757. 7318962 https://doi.org/10.1109/EMBC.2015.7318962
Chaparro-Vargas, Ramiro ; Ahmed, Beena ; Penzel, Thomas ; Cvetkovic, Dean. / Searching arousals : A fuzzy logic approach. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2754-2757
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