A Novel Method for Recognition of Bioradiolocation Signal Breathing Patterns for Noncontact Screening of Sleep Apnea Syndrome

Abstract

A novel method for recognition of breathing patterns of bioradiolocation signals breathing patterns (BSBP) in the task of noncontact screening of sleep apnea syndrome (SAS) is proposed and implemented on the base of wavelet transform (WT) and neural network (NNW) applications. Selection of the optimal parameters of WT includes determination of the proper level of wavelet decomposition and the best basis for feature extraction using modified entropy criterion. Selection of the optimal properties of NNW includes defining the best number of hidden neurons and learning algorithm for the chosen NNW topology. The effectiveness of the proposed approach is tested on clinically verified database of BRL signals corresponding to the three classes of breathing patterns: obstructive sleep apnea (OSA); central sleep apnea (CSA); normal calm sleeping (NCS) without sleep-disordered breathing (SDB) episodes.

CW Doppler Radar as Occupancy Sensor: A Comparison of Different Detection Strategies

“…The exploitation of CW Doppler radars has been suggested in several application contexts. In healthcare, for instance, they are often referred to as "bioradars" and can be employed to detect sleep apneas (Alekhin et al, 2013;Baboli et al, 2015) or mental stress (Fernàndez and Anishchenko, 2018) in humans, and breathing disorders in living animals (Anishchenko et al, 2015). Moreover, the application of CW bioradars has been suggested also for preventing the sudden infant death syndrome (Li et al, 2009), tumor tracking in radiation therapy (Li and Lin, 2014), and cardiac motion imaging (Wang et al, 2013).…”

Compressed Sensing/Sparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar

“…The application of radar devices for the remote detection and diagnostics of objects with high resolution capability is a strong focused point nowadays in many different contexts, going from soil deformation monitoring [ 1 ] to bioradiolocation [ 2 ], where surface displacements of just the order of millimeter need to be detected.…”