One of the most frequently used methods to sense breathing pattern is to detect airflow using a nasal thermistor or a thermocouple sensor. Prolonged, minimally intrusive measurement of the breathing pattern is particularly important for polysomnography, sleeping disorders, stress monitoring, biofeedback techniques, and circadian rhythm analysis. Although most applications require only breathing...

To report on a novel technique for providing artifact-free quantitative four-dimensional computed tomography (4DCT) image datasets for breathing motion modeling. Commercial clinical 4DCT methods have difficulty managing irregular breathing. The resulting images contain motion-induced artifacts that can distort structures and inaccurately characterize breathing motion. We have developed a novel ...

RESEARCH ARTICLE Sleep Disordered Breathing May Signal Laryngomalacia Christine M. Clark, Dale S. DiSalvo, Jansie Prozesky and Michele M. Carr The Pennsylvania State University, College of Medicine, Hershey, PA, USA Department of Anesthesiology, University of Rochester Medical Center, Rochester, NY, USA Department of Anesthesiology and Perioperative Medicine, Division of Pediatric Anesthesia, T...

Through analysed the breathing physiological characteristics of poetry, we studied human speech breathing patterns during reading. In this paper, we mainly researched the poetry respiratory signal of Tibetan sixcharacter poem and Chinese metrical poem during reading from the perspective of the physiological. Main contents include: 1) Selected 40 representative Tibetan six-character poem s from"...

Reasonable setting of traffic signals can be very helpful in alleviating congestion urban networks. Meta-heuristic optimization algorithms have proved themselves to able find high-quality signal timing plans. However, they generally suffer from performance deterioration when solving large-scale problems due the huge search space and limited computational budget. Directing against this issue, st...

Asthma is a chronic disease characterized by recurrent attacks of breathlessness and wheezing. During an asthma attack, a bronchospasm occurs. In order to overcome increased resistance of airways forced breathing is necessary. It affects the intrapleural pressure, blood volume within the thoracic cavity and therefore it may affect also impedance pneumography signal. We tried to imitate asthma-l...

The signal from a spirometer is directly correlated with respiratory motion and is ideal for target respiratory motion tracking. However, its susceptibility to signal drift deters its application in radiotherapy. In this work, a few approaches are investigated to control spirometer signal drift for a Bernoulli-type spirometer. A method is presented for rapid daily calibration of the spirometer ...

This paper investigates the automated detection of a patient’s breathing rate and heart rate from their skin conductivity as well as sleep stage scoring and breathing event detection from their EEG. The software developed for these tasks is tested on data sets obtained from the sleep disorders unit at the Adelaide Women’s and Children’s Hospital. The sleep scoring and breathing event detection ...

Most statistical signal nonlinearity analyses adopt the Monte-Carlo approach proposed by Theiler and co-workers, namely the ‘surrogate data’ method. A surrogate time series, or ‘surrogate’ for short, is generated as a realisation of the null hypothesis of linearity. A measure (‘test statistic’) is computed for the original time series and it is compared to those computed for an ensemble of surr...

Respiratory monitoring systems are required to supply CT scanners with information on the patient's breathing during the acquisition of a respiration-correlated computer tomography (RCCT), also referred to as 4D CT. The information a respiratory monitoring system has to provide to the CT scanner depends on the specific scanner. The purpose of this study is to compare two different respiratory m...