Development of an apnea detection algorithm based on temporal analysis of thoracic respiratory effort signal

20th Argentinean Bioengineering Society Congress

物理学;生物科学

Dell'Aquila, C.R.^1 ; Caadas, G.E.^1 ; Correa, L.S.^1 ; Laciar, E.^1

Gabinete de Tecnologia Médica, Universidad Nacional de San Juan, San Juan, Argentina^1

关键词: Apnea detection;    Respiratory cycle;    Respiratory efforts;    Respiratory signals;    Standard deviation;    Statistical tools;    Temporal analysis;    Temporal windows;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/705/1/012039/pdf
DOI  :  10.1088/1742-6596/705/1/012039

学科分类：生物科学（综合）

来源: IOP

【 摘 要 】

This work describes the design of an algorithm for detecting apnea episodes, based on analysis of thorax respiratory effort signal. Inspiration and expiration time, and range amplitude of respiratory cycle were evaluated. For range analysis the standard deviation statistical tool was used over respiratory signal temporal windows. The validity of its performance was carried out in 8 records of Apnea-ECG database that has annotations of apnea episodes. The results are: sensitivity (Se) 73%, specificity (Sp) 83%. These values can be improving eliminating artifact of signal records.