Automatic detection of voice pathologies enables non-invasive, low cost and objective assessments of the presence of disorders, as well as accelerating and improving the process of diagnosis and clinical treatment given to patients. In this work, a vector made up of 28 acoustic parameters is evaluated using principal component analysis (PCA), kernel principal component analysis (kPCA) and an auto-associative neural network (NLPCA) in four kinds of pathology detection (hyperfunctional dysphonia, functional dysphonia, laryngitis, vocal cord paralysis) using the a, i and u vowels, spoken at a high, low and normal pitch. The results indicate that the kPCA and NLPCA methods can be considered a step towards pathology detection of the vocal folds. The results show that such an approach provides acceptable results for this purpose, with the best efficiency levels of around 100%. The study brings the most commonly used approaches to speech signal processing together and leads to a comparison of the machine learning methods determining the health status of the patient.

No abstract

No abstract

This work presents a method for automatical and objective classification of patients with healthy and pathological vocal fold vibration impairments using High-Speed Videoendoscopy of the larynx. We used an image segmentation and extraction of a novel set of numerical parameters describing the spatio-temporal dynamics of vocal folds to classification according to the normal and pathological cases and achieved 73,3% cross-validation classification accuracy. This approach is promising to develop an automatic diagnosis tool of voice disorders.

Table of contentsWORKSHOP 4: Challenging clinical scenarios (CS01–CS06)CS01 Bullous lesions in two children: solitary mastocytomaS. Tolga Yavuz, Ozan Koc, Ali Gungor, Faysal GokCS02 Multi-System Allergy (MSA) of cystic fibrosis: our institutional experienceJessica Hawley, Christopher O’Brien, Matthew Thomas, Malcolm Brodlie, Louise MichaelisCS03 Cold urticaria in pediatric age: an invisible cause for severe reactionsInês Mota, Ângela Gaspar, Susana Piedade, Graça Sampaio, José Geraldo Dias, Miguel Paiva, Mário Morais-AlmeidaCS04 Angioedema with C1 inhibitor deficiency in a girl: a challenge diagnosisCristina Madureira, Tânia Lopes, Susana Lopes, Filipa Almeida, Alexandra Sequeira, Fernanda Carvalho, José OliveiraCS05 A child with unusual multiple organ allergy disease: what is the primer?Fabienne Gay-CrosierCS06 A case of uncontrolled asthma in a 6-year-old patientIoana-Valentina Nenciu, Andreia Florina Nita, Alexandru Ulmeanu, Dumitru Oraseanu, Carmen ZapucioiuORAL ABSTRACT SESSION 1: Food allergy (OP01–OP06)OP01 Food protein-induced enterocolitis syndrome: oral food challenge outcomes for tolerance evaluation in a Pediatric HospitalAdrianna Machinena, Olga Domínguez Sánchez, Montserrat Alvaro Lozano, Rosa Jimenez Feijoo, Jaime Lozano Blasco, Mònica Piquer Gibert, Mª Teresa Giner Muñoz, Marcia Dias da Costa, Ana Maria Plaza MartínOP02 Characteristics of infants with food protein-induced enterocolitis syndrome and allergic proctocolitisEbru Arik Yilmaz, Özlem Cavkaytar, Betul Buyuktiryaki, Ozge Soyer, Cansin SackesenOP03 The clinical and immunological outcomes after consumption of baked egg by 1–5 year old egg allergic children: results of a randomised controlled trialMerrynNetting, Adaweyah El-Merhibi, Michael Gold, PatrickQuinn, IrmeliPenttila, Maria MakridesOP04 Oral immunotherapy for treatment of egg allergy using low allergenic, hydrolysed eggStavroula Giavi, Antonella Muraro, Roger Lauener, Annick Mercenier, Eugen Bersuch, Isabella M. Montagner, Maria Passioti, Nicolò Celegato, Selina Summermatter, Sophie Nutten, Tristan Bourdeau, Yvonne M. Vissers, Nikolaos G. PapadopoulosOP05 Chemical modification of a peanut extract results in an increased safety profile while maintaining efficacyHanneke van der Kleij, Hans Warmenhoven, Ronald van Ree, Raymond Pieters, Dirk Jan Opstelten, Hans van Schijndel, Joost SmitOP06 Administration of the yellow fever vaccine in egg allergic childrenRoisin Fitzsimons, Victoria Timms, George Du ToitORAL ABSTRACT SESSION 2: Asthma (OP07–OP12)OP07 Previous exacerbation is the most important risk factor for future exacerbations in school-age children with asthmaS. Tolga Yavuz, Guven Kaya, Mustafa Gulec, Mehmet Saldir, Osman Sener, Faysal GokOP08 Comparative study of degree of severity and laboratory changes between asthmatic children using different acupuncture modalitiesNagwa Hassan, Hala Shaaban, Hazem El-Hariri, Ahmed Kamel Inas E. MahfouzOP09 The concentration of exhaled carbon monoxide in asthmatic children with different controlled stadiumPapp Gabor, Biro Gabor, Kovacs CsabaOP10 ...