Estimation of Information Value of Diagnostic Data Obtained by Bioradiolocation Pneumography in Non-contact Screening of Sleep Apnea Syndrome

Alekhin, Maksim; Anishchenko, Lesya; Zhuravlev, Andrey; Ivashov, Sergey; Korostovtseva, Lyudmila; Sviryaev, Yurii; Конради, А. О.; Parashin, V. B.; Bogomolov, A. V.

doi:10.1007/s10527-013-9343-8

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…During tidal breathing process the modulation is mostly determined by reciprocating displacements of skin surface in abdominal and thoracic areas of chest wall due to periodic contractions of respiratory muscles [6]. The reliability and effectiveness of BRL technology application in noncontact respiratory monitoring [7] and remote screening of SAS [8] on the base of breathing pattern analysis were convincingly demonstrated.…”

Section: Introductionmentioning

confidence: 90%

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

Alekhin

Anishchenko

Tataraidze

et al. 2013

International Journal of Antennas and Propagation

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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.

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Section: Introductionmentioning

confidence: 90%

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

Alekhin

Anishchenko

Tataraidze

et al. 2013

International Journal of Antennas and Propagation

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“…Especially in complex combat environment, once the problem of nonstandardized signal recognition is encountered, it will directly restrict radar synthesis ability. The quality of radar signal depends on the signal transmission loss, the interference degree of other signals, and the influence of transmission mode [41,42].…”

Section: Radar Signal Transmissionmentioning

confidence: 99%

“…Different radars have certain differences in the working band which will directly affect the recognition and feedback of radar signals. Therefore, it should optimize the signal application mode to ensure the validity and authenticity of radar information application in a more active way [42]. Cooper et al [43] presented the THz imaging radar technology of the Jet Propulsion Laboratory (JPL) with a portable laboratory prototype radar system operating frequency-modulated continuouswave (FMCW) mode over a 28.8 GHz bandwidth, presently centered at 676.7 GHz.…”

Section: Information Screeningmentioning

confidence: 99%

Processing Technology Based on Radar Signal Design and Classification

Zhang

Zhan

2020

International Journal of Aerospace Engineering

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It is well known that the application of radar is becoming more and more popular with the development of the signal technology progress. This paper lists the current radar signal research, the technical progress achieved, and the existing limitations. According to radar signal respective characteristics, the design and classification of the radar signal are introduced to reflect signal’s differences and advantages. The multidisciplinary processing technology of the radar signal is classified and compared in details referring to adaptive radar signal process, pulse signal management, digital filtering signal mode, and Doppler method. The transmission process of radar signal is summarized, including the transmission steps of radar signal, the factors affecting radar signal transmission, and radar information screening. The design method of radar signal and the corresponding signal characteristics are compared in terms of performance improvement. Radar signal classification method and related influencing factors are also contrasted and narrated. Radar signal processing technology is described in detail including multidisciplinary technology synthesis. Adaptive radar signal process, pulse compression management, and digital filtering Doppler method are very effective technical means, which has its own unique advantages. At last, the future research trends and challenges of technologies of the radar signals are proposed. The conclusions obtained are beneficial to promote the further promotion applications both in theory and practice. The study work of this paper will be useful for choosing more reasonable radar signal processing technology methods.

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“…It should be pointed out that correct and effective registration of respiration arrests during sleep for longer than 10 seconds is an important aspect of central sleep apnea screening and is essential in preventive diagnostics of sudden infant death syndrome [12].…”

Section: Experimentationmentioning

confidence: 99%

Comparison of Bioradiolocation and Respiratory Plethysmography Signals in Time and Frequency Domains on the Base of Cross-Correlation and Spectral Analysis

Alekhin

Anishchenko

Tataraidze

et al. 2013

International Journal of Antennas and Propagation

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Comparison of bioradiolocation and standard respiratory plethysmography signals during simultaneous registration of different types of the human breathing movements is performed in both time and frequency domains. For all couples of synchronized signals corresponding to bioradiolocation and respiratory plethysmography methods, the cross-correlation and spectral functions are calculated, and estimates of their generalized characteristics are defined. The obtained results consider bioradiolocation to be a reliable remote sensing technique for noncontact monitoring of breathing pattern in medical applications.

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Estimation of Information Value of Diagnostic Data Obtained by Bioradiolocation Pneumography in Non-contact Screening of Sleep Apnea Syndrome

Cited by 7 publications

References 4 publications

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

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

Processing Technology Based on Radar Signal Design and Classification

Comparison of Bioradiolocation and Respiratory Plethysmography Signals in Time and Frequency Domains on the Base of Cross-Correlation and Spectral Analysis

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