title: Patients classification on weaning trials using neural networks and wavelet transform.
abstract: The determination of the optimal time of the patients in weaning trial process from mechanical ventilation, between patients capable of maintaining spontaneous breathing and patients that fail to maintain spontaneous breathing, is a very important task in intensive care unit. Wavelet Transform (WT) and Neural Networks (NN) techniques were applied in order to develop a classifier for the study of patients on weaning trial process. The respiratory pattern of each patient was characterized through different time series. Genetic Algorithms (GA) and Forward Selection were used as feature selection techniques. A classification performance of 77.00±0.06% of well classified patients, was obtained using a NN and GA combination, with only 6 variables of the 14 initials.
authors.affiliation: Control & Mecatrónica Research Group, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia.
authors.forename: Carlos
authors.initials: C
authors.lastname: Arizmendi
authors.affiliation: Control & Mecatrónica Research Group, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia.
authors.forename: Juan
authors.initials: J
authors.lastname: Viviescas
authors.affiliation: Control & Mecatrónica Research Group, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia.
authors.forename: Hernando
authors.initials: H
authors.lastname: González
authors.affiliation: Dept. of ESAII, Universitat Politècnica de Catalunya (UPC), Institut de Bioenginyeria de Catalunya (IBEC) and CIBER de Bioingeniería, Biomateriales y Nanomedicina, Barcelona, Spain.
authors.forename: Beatriz
authors.initials: B
authors.lastname: Giraldo
mesh_terms: D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012129:Respiratory Function Tests / Q000379:methods; D012131:Respiratory Insufficiency / Q000175:diagnosis* / Q000532:radiotherapy* / Q000534:rehabilitation; D012680:Sensitivity and Specificity; D013813:Therapy, Computer-Assisted / Q000379:methods*; D015300:Ventilator Weaning / Q000379:methods*; D058067:Wavelet Analysis