Hidden State Models for Noncontact Measurements of the Carotid Pulse Using a Laser Doppler Vibrometer
| Autor: | Erik J. Sirevaag, J. A. OrSullivan, Alan D. Kaplan, Po-Hsiang Lai, John W. Rohrbaugh |
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| Rok vydání: | 2012 |
| Předmět: |
Adult
Male Physics Cardiac cycle Respiration Acoustics Biomedical Engineering Beat (acoustics) Signal Processing Computer-Assisted Laser Doppler velocimetry Markov Chains Electrocardiography symbols.namesake Carotid Arteries Laser-Doppler Flowmetry symbols Humans Female Graphical model Pulse Hidden Markov model Laser Doppler vibrometer Doppler effect Strain gauge |
| Zdroj: | IEEE Transactions on Biomedical Engineering. 59:744-753 |
| ISSN: | 1558-2531 0018-9294 |
| DOI: | 10.1109/tbme.2011.2179297 |
| Popis: | The method of laser Doppler vibrometry (LDV) is used to sense movements of the skin overlying the carotid artery. When pointed at the skin overlying the carotid artery, the mechanical movements of the skin disclose physiological activity relating to the blood pressure pulse over the cardiac cycle. In this paper, signal modeling is addressed, with close attention to the underlying physiology. Segments of the LDV signal corresponding to single heartbeats, called LDV pulses, are extracted. Hidden Markov models (HMMs) are used to capture the dynamics of the LDV pulses from beat to beat based on pulse morphology; under resting conditions these dynamics are primarily due to respiration-related effects. LDV pulses are classified according to state, by computing the optimal state path through the data using trained HMMs. HMM state dynamics are examined within the context of respiratory effort using strain gauges placed around the abdomen. This study presented here provides a graphical model approach to modeling the dependence of the LDV pulse on latent states. |
| Databáze: | OpenAIRE |
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