>Revista Mexicana de Ingeniería Biomédica
>Year 2014, Issue 1
Guerrero-Mora G, Palacios-Hernández E, Kortelainen JM, Bianchi AM, Méndez MO
Multichannel Analysis of an Unobtrusive Sensor for Sleep Apnea-Hypopnea Detection
Rev Mex Ing Biomed 2014; 35 (1)
PDF: 1643.25 Kb.
This manuscript presents an unobtrusive method for sleep apneahypopnea
syndrome (SAHS) detection. The airflow is indirectly
measured through a sensitive mattress (Pressure Bed sensor, PBS)
that incorporates multiple pressure sensors into a bed mattress. The
instantaneous amplitude of each sensor signal is calculated through
Hilbert transform, and then, the information is reduced via principal
component analysis. The respiratory events (ERs -apneas/hypopneas)
are detected as a reduction in the resulting instantaneous amplitude
and accounted in the respiratory event index (IER), which is a severity
indicator similar to the official apnea-hypopnea index (AHI). The
respiratory signals extracted from PBS are analyzed first by clustering
the information coming from channel pairs, and then using the eight
channels. The IER performance is compared with the AHI for different
severity categories. For the diagnosis of healthy and pathological
patients we obtain a sensitivity, specificity and accuracy of 92%, 100%
and 96%, respectively using two or eight PBS channels. These results
suggest the possibility to propose PBS as an alternative tool for SAHS
diagnosis in home environment.
||Sleep apnea-hypopnea syndrome (SAHS), sensitive mattress (PBS), automatic detection, principal component analysis (PCA), respiratory events.
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>Revista Mexicana de Ingeniería Biomédica
>Year 2014, Issue 1