Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pedro L. Melo"'
Autor:
Domingos S. M. Andrade, Luigi Maciel Ribeiro, Agnaldo J. Lopes, Jorge L. M. Amaral, Pedro L. Melo
Publikováno v:
BioMedical Engineering OnLine, Vol 20, Iss 1, Pp 1-18 (2021)
Abstract Introduction The use of machine learning (ML) methods would improve the diagnosis of respiratory changes in systemic sclerosis (SSc). This paper evaluates the performance of several ML algorithms associated with the respiratory oscillometry
Externí odkaz:
https://doaj.org/article/e852487fa118432d907343c4fff11e0c
Publikováno v:
Entropy, Vol 21, Iss 3, p 225 (2019)
Breathing is a complex rhythmic motor act, which is created by integrating different inputs to the respiratory centres. Analysing nonlinear fluctuations in breathing may provide clinically relevant information in patients with complex illnesses, such
Externí odkaz:
https://doaj.org/article/f5ec8f60363d42169439e65756637893
Publikováno v:
Journal of Medical and Biological Engineering. 43:112-123
Autor:
Newton A. Lima Junior, Nayara V. Oliveira, Ana B. W. Tavares, Agnaldo J. Lopes, Pedro L. Melo
Publikováno v:
Medical & Biological Engineering & Computing. 60:2001-2014
Publikováno v:
Medicalbiological engineeringcomputing. 60(7)
To evaluate the ability of tracheal sound analysis (TSA) to detect airflow obstruction, particularly in patients with acromegaly. A simulated analysis compared free airflow conditions with airflow through orifice plates 6, 8, 10 and 12 mm in diameter
Publikováno v:
Technology and health care : official journal of the European Society for Engineering and Medicine. 16(5)
Physiological studies of swallowing and the diagnosis and treatment of dysphagia are crucially dependent of detailed information of respiratory and feeding events. However, this information has been obtained by indirect and/or expensive methods, as w