Partner: K. Proniewska


Recent publications
1.Proniewska K., Pręgowska A., Malinowski K.P., Sleep-related breathing biomarkers as a predictor of vital functions, Bio-Algorithms and Med-Systems, ISSN: 1895-9091, DOI: 10.1515/bams-2017-0003, Vol.13, No.1, pp.43-49, 2017
Abstract:

Because an average human spends one third of his life asleep, it is apparent that the quality of sleep has an important impact on the overall quality of life. To properly understand the influence of sleep, it is important to know how to detect its disorders such as snoring, wheezing, or sleep apnea. The aim of this study is to investigate the predictive capability of a dual-modality analysis scheme for methods of sleep-related breathing disorders (SRBDs) using biosignals captured during sleep. Two logistic regressions constructed using backward stepwise regression to minimize the Akaike information criterion were extensively considered. To evaluate classification correctness, receiver operating characteristic (ROC) curves were used. The proposed classification methodology was validated with constructed Random Forests methodology. Breathing sounds and electrocardiograms of 15 study subjects with different degrees of SRBD were captured and analyzed. Our results show that the proposed classification model based on selected parameters for both logistic regressions determine the different types of acoustic events during sleep. The ROC curve indicates that selected parameters can distinguish normal versus abnormal events during sleep with high sensitivity and specificity. The percentage of prediction for defined SRBDs is very high. The initial assumption was that the quality of result is growing with the number of parameters included in the model. The best recognition reached is more than 89% of good predictions. Thus, sleep monitoring of breath leads to the diagnosis of vital function disorders. The proposed methodology helps find a way of snoring rehabilitation, makes decisions concerning future treatment, and has an influence on the sleep quality.

Keywords:

patient monitoring, sleep-related breathing disorders, vital functions

Affiliations:
Proniewska K.-other affiliation
Pręgowska A.-IPPT PAN
Malinowski K.P.-other affiliation

Conference abstracts
1.Proniewska K., Pręgowska A., Adaptive design approach to tele-Health trials based on Biostatical and Information Theory methods, Telemedicine and eHealth, 2016-09-02/09-03, Warszawa (PL), pp.1, 2016
Keywords:

adaptive design, biostatistic, information Theory

Affiliations:
Proniewska K.-other affiliation
Pręgowska A.-IPPT PAN
2.Proniewska K., Pręgowska A., New approach to quantify breathing pattern changes using a monitoring scoring system, Telemedicine and eHealth, 2016-09-02/09-03, Warszawa (PL), pp.1, 2016
Keywords:

quantify breathing pattern, patient monitoring

Affiliations:
Proniewska K.-other affiliation
Pręgowska A.-IPPT PAN