Heart rate analysis by sparse representation for acute pain detection
| Autor: | Tejman-Yarden, S, Levi, O, Beizerov, A, Parmet, Y, Nguyen, T, Saunders, M, Rudich, Z, Perry, JC, Baker, DG, Moeller-Bertram, T |
|---|---|
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Medical & biological engineering & computing, vol 54, iss 4 Tejman-Yarden, S; Levi, O; Beizerov, A; Parmet, Y; Nguyen, T; Saunders, M; et al.(2016). Heart rate analysis by sparse representation for acute pain detection. Medical and Biological Engineering and Computing, 54(4), 595-606. doi: 10.1007/s11517-015-1350-3. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/9wd6c22w |
| DOI: | 10.1007/s11517-015-1350-3. |
| Popis: | © 2015, International Federation for Medical and Biological Engineering. Objective pain assessment methods pose an advantage over the currently used subjective pain rating tools. Advanced signal processing methodologies, including the wavelet transform (WT) and the orthogonal matching pursuit algorithm (OMP), were developed in the past two decades. The aim of this study was to apply and compare these time-specific methods to heart rate samples of healthy subjects for acute pain detection. Fifteen adult volunteers participated in a study conducted in the pain clinic at a single center. Each subject’s heart rate was sampled for 5-min baseline, followed by a cold pressor test (CPT). Analysis was done by the WT and the OMP algorithm with a Fourier/Wavelet dictionary separately. Data from 11 subjects were analyzed. Compared to baseline, The WT analysis showed a significant coefficients’ density increase during the pain incline period (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|