Document Type
Conference Proceeding
Language
eng
Format of Original
4 p.
Publication Date
9-25-2005
Publisher
Institute of Electrical and Electronics Engineers
Source Publication
Computers in Cardiology, 2005
Source ISSN
0-7803-9337-6
Original Item ID
doi: 10.1109/CIC.2005.1588266
Abstract
The monitoring of respiration rates using impedance plethysmography is often confused by cardiac activity. This paper proposes using the phonocardiogram as an alternative, since the process of respiration affects heart sounds. As part of this research, a technique is developed to segment heart sounds into its component segments, using hidden Markov models. The heart sounds data is preprocessed into feature vectors, where the feature vectors are comprised of the average Shannon energy of the heart sound signal, the delta Shannon energy, and the delta-delta Shannon energy. The performance of the segmentation system is validated using eight-fold cross-validation
Recommended Citation
Ricke, Anthony D.; Povinelli, Richard J.; and Johnson, Michael T., "Automatic Segmentation of Heart Sound Signals Using Hidden Markov Models" (2005). Electrical and Computer Engineering Faculty Research and Publications. 115.
https://epublications.marquette.edu/electric_fac/115
Comments
Accepted version. Published as part of the proceedings of the conference, Computers in Cardiology, 2005: 953-956. DOI. © 2005 The Institute of Electrical and Electronics Engineers. Used with permission.