Abstract: A method, apparatus, and system for determining a correspondence of physiological data obtained in a physiological study of a subject. The method includes extracting a first signal from the physiological study. A second signal from the physiological study is also extracted. The first signal and the second signal are obtained by one or more biometric sensors. Data of the first signal and data of the second signal are stored on a memory storage. A coherency value is determined between components of the extracted first signal and components of the extracted second signal. And the correspondence of the physiological study data is determined based on the determined coherency value.

Abstract: A method, apparatus, and system for determining a correspondence of physiological data obtained in a physiological study of a subject. The method includes extracting a first signal from the physiological study. A second signal from the physiological study is also extracted. The first signal and the second signal are obtained by one or more biometric sensors. Data of the first signal and data of the second signal are stored on a memory storage. A coherency value is determined between components of the extracted first signal and components of the extracted second signal. And the correspondence of the physiological study data is determined based on the determined coherency value.

Abstract: A non-invasive method and system is provided for determining an internal component of respiratory effort of a subject in a respiratory study. Both a thoracic signal (T) and an abdomen signal (A) are obtained, which are indicators of a thoracic component and an abdominal component of the respiratory effort, respectively. A first parameter of a respiratory model is determined from the obtained thoracic signal (T) and the abdomen signal (A). The first parameter is an estimated parameter of the respiratory model that is not directly measured during the study. The internal component of the respiratory effort is determined based at least on the determined first parameter of the respiratory model. The first model parameter is determined based on the thorax signal (T) and the obtained abdomen signal (A) without an invasive measurement.

Abstract: Methods, systems, and devices are provided for determining a respiratory flow, ventilation, and/or endotypes from Respiratory Inductance Plethysmography (RIP) signals. The method includes receiving data of a thoracic signal of a first RIP belt arranged proximate with a thorax of a subject, receiving data of an abdomen signal of a second RIP belt, and determining a respiratory flow of the subject based on the data of the thoracic signal and the data of the abdomen signal. Determining the respiratory flow includes two or more calibrations, including performing a first calibration by applying a first calibration coefficient that relates an amplitude of a differential change in the thoracic signal to an amplitude of a differential change in the abdomen signal to obtain a determined respiratory flow, and performing a second calibration on the determined respiratory flow that corrects for a non-linearity in the determined respiratory flow.

Abstract: A non-invasive method and system is provided for determining an internal component of respiratory effort of a subject in a respiratory study. Both a thoracic signal (T) and an abdomen signal (A) are obtained, which are indicators of a thoracic component and an abdominal component of the respiratory effort, respectively. A first parameter of a respiratory model is determined from the obtained thoracic signal (T) and the abdomen signal (A). The first parameter is an estimated parameter of the respiratory model that is not directly measured during the study. The internal component of the respiratory effort is determined based at least on the determined first parameter of the respiratory model. The first model parameter is determined based on the thorax signal (T) and the obtained abdomen signal (A) without an invasive measurement.

Abstract: Methods and systems are provided for creating a personalized sleep classifier for a subject. Sleep data are obtained from biosignals from a subject in a High-Accuracy Sleep Study (HASS). Sleep data are also obtained from biosignals from the subject in a Simplified Sleep Study (SSS), the High-Accuracy Sleep Study being obtained simultaneously from the subject with the Simplified Sleep Study. A high-resolution HASS sleep profile is developed from the sleep data of the High-Accuracy Sleep Study. A personalized sleep classifier is created that outputs a SSS sleep profile of the subject based on the sleep data from the Simplified Sleep Study. And the personalized sleep classifier is calibrated such the SSS sleep profile output by the personalized sleep classifier based on the Simplified Sleep Study of the subject approaches or aligns with the high-resolution HASS sleep profile based on the High-Accuracy Sleep Study of the subject.

Abstract: A method, apparatus, and system for determining a value of one or more parameters of a respiratory effort of a subject, including obtaining a thoracic signal (T), the thoracic signal (T) being an indicator of a thoracic component of the respiratory effort, obtaining an abdomen signal (A), the abdomen signal (A) being an indicator of an abdominal component of the respiratory effort, and determining, without directly measuring, the value of the one or more parameters of the respiratory effort by using constraints and/or relationships of components of a model of a respiratory system of the subject, and fitting the components of the model of the respiratory system of the subject with data from the obtained thoracic signal (T) and data from the obtained abdomen signal (A).

Abstract: A non-invasive method and system are provided for determining a sleep stage of a subject. The method includes obtaining one or more respiratory signals, the one or more respiratory signals being an indicator of a respiratory activity of the subject, extracting features from the one or more respiratory signals, and determining a sleep stage of the subject based on the extracted features.

Abstract: A method, apparatus, and system for measuring respiratory effort of a subject are provided. According to the method, a thoracic effort signal (T) is obtained, the thoracic effort signal (T) being an indicator of a thoracic component of the respiratory effort. An abdomen effort signal (A), the abdomen effort signal (A) being an indicator of an abdominal component of the respiratory effort. A respiratory flow (F) is obtained. The respiratory effort is determined by adjusting the components of a model of the respiratory system based on the thoracic effort signal (T), the abdomen effort signal (A), or the respiratory flow (F) or any combination of the thoracic effort signal (T), the abdomen effort signal (A), and the respiratory flow (F).

Abstract: A non-invasive method and system is provided for determining an internal component of respiratory effort of a subject in a respiratory study. Both a thoracic signal (T) and an abdomen signal (A) are obtained, which are indicators of a thoracic component and an abdominal component of the respiratory effort, respectively. A first parameter of a respiratory model is determined from the obtained thoracic signal (T) and the abdomen signal (A). The first parameter is an estimated parameter of the respiratory model that is not directly measured during the study. The internal component of the respiratory effort is determined based at least on the determined first parameter of the respiratory model. The first model parameter is determined based on the thorax signal (T) and the obtained abdomen signal (A) without an invasive measurement.

Abstract: A method, apparatus, and system for determining a correspondence of physiological data obtained in a physiological study of a subject. The method includes extracting a first signal from the physiological study. A second signal from the physiological study is also extracted. The first signal and the second signal are obtained by one or more biometric sensors. Data of the first signal and data of the second signal are stored on a memory storage. A coherency value is determined between components of the extracted first signal and components of the extracted second signal. And the correspondence of the physiological study data is determined based on the determined coherency value.

Abstract: A method, apparatus, and system for measuring respiratory effort of a subject are provided. According to the method, a thoracic effort signal (T) is obtained, the thoracic effort signal (T) being an indicator of a thoracic component of the respiratory effort. An abdomen effort signal (A), the abdomen effort signal (A) being an indicator of an abdominal component of the respiratory effort. A respiratory flow (F) is obtained. The respiratory effort is determined by adjusting the components of a model of the respiratory system based on the thoracic effort signal (T), the abdomen effort signal (A), or the respiratory flow (F) or any combination of the thoracic effort signal (T), the abdomen effort signal (A), and the respiratory flow (F).