@inproceedings{371cc399f4724833bd1f2e918950f845,
title = "Nonlinear local projection filter for impedance pneumography",
abstract = "The ability of impedance pneumography (IP) for recording tidal flow during long periods of free breathing make it a promising tool for assessing temporal complexity of respiration. However, techniques quantifying complexity may be sensitive to the noise in the IP signal resulting from the current processing method. A nonlinear local projection filter (NLPF) is presented as the solution to the current linear processing method, failing to reduce noise without distorting the flow signal. Current and proposed NLPF methods were applied to and existing data set of raw IP recorded in 21 infants during a methacholine challenge test. Methods{\textquoteright} performance was compared in a battery of test using mouth flow as a reference. NLPF achieved lower sample-by-sample error, and higher frequency attenuation, while linearity with mouth flow was maintained. Therefore, we concluded that NLPF superiorly reduces noise without distorting respiratory information.",
keywords = "Impedance pneumography, Lung function, Noise reduction, Nonlinear filter",
author = "J. Gracia and Sepp{\"a}, \{V. P.\} and A. Pelkonen and A. Kotaniemi-Syrj{\"a}nen and M. M{\"a}kel{\"a} and P. Malmberg and J. Viik",
note = "jufoid=58152; Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) ; Conference date: 01-01-1900",
year = "2018",
doi = "10.1007/978-981-10-5122-7\_77",
language = "English",
isbn = "9789811051210",
series = "IFMBE Proceedings",
publisher = "Springer-Verlag",
pages = "306--309",
booktitle = "EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017",
}