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Topography-specific spindle frequency changes in Obstructive Sleep Apnea

Suzana V Schönwald1, Diego Z Carvalho1, Emerson L de Santa-Helena2, Ney Lemke3* and Günther J L Gerhardt4

Author Affiliations

1 Sleep Laboratory, Division of Pulmonary Medicine, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos 2350/sala 2050, Porto Alegre, RS, 90035-003, Brazil

2 Department of Physics, Universidade Federal de Sergipe, Säo Cristóvao, Brazil

3 Department of Physics and Biophysics, Institute of Biosciences, Univ Estadual Paulista (UNESP), Botucatu, Brazil

4 Department of Physics and Chemistry, Universidade de Caxias do Sul, Caxias do Sul, 95001-970, Brazil

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BMC Neuroscience 2012, 13:89  doi:10.1186/1471-2202-13-89

Published: 31 July 2012

Additional files

Additional file 1:

Supplementary figure showing the procedure employed for MP amplitude threshold selection. Matching Pursuit performance was tested on another sample (training dataset) pertaining to 9 healthy young subjects, where 513 sleep spindles had been visually identified during NREM sleep stage 2 (same database used in Schonwald et al; Benchmarking Matching Pursuit to find sleep spindles. Journal of Neuroscience Methods 2006, 156:314-321). The test was carried out on the C3-A2 channel with MP parameters used in this study (number of atoms in the dictionary, frequency and duration limits) and Receiver-Operator Characteristics (ROC) curves were built according to voltage threshold. Additional curves show correspondence between specificity, accuracy and higher amplitude atom percentage (top atoms) according to total atoms detected. An MP 20% amplitude threshold corresponded to 96%specificity on the training dataset.

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