A method was designed to detect accuracy of youth sleep apnea, which compares the amount of blood saturation of oxygen, signal processing and algorithm. The system was diagnosed in a hospital in Chicago (the United States) with 981 child patients and 84% of critical performance was achieved.
Surveyors of the Valladolid University (UVa) Biological Engineering Group, the University of Hortaga de Valladolid University Hospital and the University of Missouri University Medicine School, first Spanish and the United States in the United States, have Designing a diagnostic approach to detecting sleeping apnea in detail, based on the analysis of the degree of oxygen saturation in blood at night, signal processing and algorithm. The results of the work are published in the scientific magazine PLOS ONE.
At this time, night-to-day PSG policy is the general diagnosis test for sleep apnea, but there are a number of constraints. It means that the patient is in a position; Hospital spend is completely completed, as a number of biological records are taken at the same time. The discomfort for the patient is good and, if the patient is a child, the problems multiply. In addition, the interpretation of this test is complex and includes important health costs.
The other option for the enhanced PSG is now the one-digit self-examination, the saturation of oxygen in blood collected in nocturnal oximetry, a way that includes a clamp position The patient's fingerprint to evaluate their blood oxygen level throughout the night. As a researcher to the Bio-Learning Group Fernando Vaquerizo said, this test is stand out to be reliable and simple in children, and can also be done at the patient's home from commercially movable devices.
To investigate this data, researchers have used a type of signal system that uses a wavelet (DWT) format, which allows to evaluate non-stop signals and to; Analyzes with a high reduction in the frequency components of the oxygen saturation satellite related to the apnea. dream of children, "Vaquerizo definition.
Many settings can affect apnea for children's health and development, such as cardiometabolic dysfunction, neurocognitive deficiency or growth. (Picture: Pixabay)
There were other ways to attract statistical features and choose algorithm for collective information too. Lastly, three classification algorithms (constant restarting, veterans support devices and a strange network) were used to find that sleep apnea from a child was poorly poor.
The team examined the method designed on a sample of 981 child patients (602 children and 379 girls) aged 2 and 11 who came to the sleeping unit at the University Hospital in Chicago with apnea suspicion.
In implementing the approach, researchers have achieved 84% critical accuracy in poor middle-level apnea searching, higher than those recorded in previous surveys.
"These results suggest that wavelet analysis could be a useful tool for identifying the oximetry indicators and developing critical performance and producing including a simple sleep apnea monitoring test, "said Vaquerizo.
In addition, he says, "by using this method and using a different classification algorithm, it is possible that it affects the children's sleep apnea on her / her; oximetry signal and find complementary information to traditional ways of identifying marks ".
The resulting results have been influenced since the hearing of the Symptoms of Sliding-Hypopnea in children, an impairment disorder marked by the presence of full absenteeism (apnea) and a large (hypopnea) reduction of streams The air is sleeping, high (between 1% and 5%) in the child's number and is mentally ill. The disease can have many effects for the health and development of children, such as cardiometabolic dysfunction, unidentified deficiency or return to growth. (Well: Cristina G. Pedraz / DICYT / SINC)