In the era of Edge-of-Things computing for the accomplishment of smart healthcare systems, theavailability of accurate and reliable databases is important to provide the right tools for researchersand business companies to design, develop and test new techniques, methodologiesand/or algorithms to monitor or detect the patient’s healthcare status. In this paper, the studyand building of the VOice ICar fEDerico II (VOICED) database are presented, useful for anybodywho needs voice signals in her/his research activities. It consists of 208 healthy and pathologicalvoices collected during a clinical study performed following the guidelines of the medical SIFEL(Società Italiana di Foniatria e Logopedia) protocol and the SPIRIT (Standard Protocol Items:Recommendations for Interventional Trials) 2013 Statement. For each subject, the databasecontains a recording of the vowel /a/ of five seconds in length, lifestyle information, the medicaldiagnosis, and the results of two specific medical questionnaires.
A new database of healthy and pathological voices☆ Ugo Cesari a, Giuseppe De Pietro b, Elio Marciano c, Ciro Niri d, Giovanna Sannino,b, Laura Verde e a Department of Otorhinolaryngology, University Hospital (Policlinico) Federico II of Naples, Via S.Pansini, 5 Naples, Italy b Institute of High Performance Computing and Networking (ICAR-CNR), Via Pietro Castellino, 111, Naples, Italy c Area of Audiology, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Via S.Pansini, 5, Naples, Italy d Independent Doctor Surgeon Specialized in Audiology and Phoniatrics, Naples, Italy e Department of Engineering, University of Naples Parthenope, Centro Direzionale di Napoli, Isola C4, Naples, Italy
Giuseppe De Pietro;
2018-01-01
Abstract
In the era of Edge-of-Things computing for the accomplishment of smart healthcare systems, theavailability of accurate and reliable databases is important to provide the right tools for researchersand business companies to design, develop and test new techniques, methodologiesand/or algorithms to monitor or detect the patient’s healthcare status. In this paper, the studyand building of the VOice ICar fEDerico II (VOICED) database are presented, useful for anybodywho needs voice signals in her/his research activities. It consists of 208 healthy and pathologicalvoices collected during a clinical study performed following the guidelines of the medical SIFEL(Società Italiana di Foniatria e Logopedia) protocol and the SPIRIT (Standard Protocol Items:Recommendations for Interventional Trials) 2013 Statement. For each subject, the databasecontains a recording of the vowel /a/ of five seconds in length, lifestyle information, the medicaldiagnosis, and the results of two specific medical questionnaires.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
