Asthmatic subjects stratification using autonomic nervous system information
Por:
Milagro, J, Soto-Retes, L, Giner, J, Varon, C, Laguna, P, Bailon, R, Plaza, V, Gil, E
Publicada:
1 ago 2021
Ahead of Print:
1 jul 2021
Resumen:
Objective: the aim of this study is to evaluate whether noninvasive autonomic activity assessment could represent a potential tool for the stratification of asthmatic subjects based on symptoms control, using only 10-min electrocardiographic and respiratory signals. Methods: several heart rate variability (HRV) derived indexes, which are regarded as surrogates of autonomic activity, were evaluated in a group of asthmatic patients classified based on their symptomatology control. The effect of respiration on HRV was mitigated by means of orthogonal subspace projection. The most relevant features were used for training different classifiers. Results: similar classification performance was obtained when using HRV or clinical features, with just a 10% decrease in accuracy when using the HRV features (80% vs. 70%). This classification performance is equivalent to that achieved in new patients using the current asthma control tests. Conclusion: results suggest that the noninvasive assessment of autonomic activity could represent an added value for the monitoring of asthmatic subjects outside the clinic, using less cumbersome equipment, and therefore being suitable for an objective asthma self-monitoring. Significance:: This study provides evidence on the usefulness of noninvasive autonomic activity assessment for asthma control stratification, supporting it as a potential complement to the current clinical practice.
Filiaciones:
Milagro, J:
Univ Zaragoza, Biomed Signal Interpretat & Computat Simulat BSIC, Aragon Inst Engn Res I3A, IIS Aragon, Zaragoza, Spain
Ctr Invest Biomed Red Bioingn Biomat & Nanomed CI, Zaragoza, Spain
Soto-Retes, L:
Univ Autonoma Barcelona, Pneumol & Allergy Dept, Santa Creu & St Pau Hosp, IIB St Pau,Dept Med, Barcelona, Spain
Giner, J:
Univ Autonoma Barcelona, Pneumol & Allergy Dept, Santa Creu & St Pau Hosp, IIB St Pau,Dept Med, Barcelona, Spain
Varon, C:
Katholieke Univ Leuven, Dept Elect Engn ESAT, STADIUS Ctr Dynam Syst Signal Proc & Data Analyt, Leuven, Belgium
Delft Univ Technol, Circuits & Syst CAS Grp, Delft, Netherlands
Laguna, P:
Univ Zaragoza, Biomed Signal Interpretat & Computat Simulat BSIC, Aragon Inst Engn Res I3A, IIS Aragon, Zaragoza, Spain
Ctr Invest Biomed Red Bioingn Biomat & Nanomed CI, Zaragoza, Spain
Bailon, R:
Univ Zaragoza, Biomed Signal Interpretat & Computat Simulat BSIC, Aragon Inst Engn Res I3A, IIS Aragon, Zaragoza, Spain
Ctr Invest Biomed Red Bioingn Biomat & Nanomed CI, Zaragoza, Spain
Plaza, V:
Univ Autonoma Barcelona, Pneumol & Allergy Dept, Santa Creu & St Pau Hosp, IIB St Pau,Dept Med, Barcelona, Spain
Gil, E:
Univ Zaragoza, Biomed Signal Interpretat & Computat Simulat BSIC, Aragon Inst Engn Res I3A, IIS Aragon, Zaragoza, Spain
Ctr Invest Biomed Red Bioingn Biomat & Nanomed CI, Zaragoza, Spain
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