Abstract: Systems, devices, and methods are provided for performing a sleep study of a subject. The methods include obtaining data from one or more body signals, the one or more body signals being non-brain signals, and determining an arousal or arousal-associated event of the subject using the data from one or more body signals. In a preferred embodiment, the one or more body signals include data obtained from one or more RIP belts.

Abstract: Methods, apparatuses, and systems for determining a physiologically effective use of a positive airway pressure device of a target subject. The method includes obtaining one or more parameters recorded by the positive airway pressure device and determining a range of values for the one or more parameters. A simulated or ineffective use of the positive airway pressure device is identified when the range of values is outside a predefined tolerance range and a physiologic use of the positive airway pressure device is identified when the range of values is inside the predefined tolerance range.

Abstract: Systems, devices, and methods are provided for determining an arousal or arousal-associated event in a sleep study of a subject. The method includes obtaining data from one or more body signals, the one or more body signals being non-brain signals, and determining an arousal or arousal-associated event of the subject using the data from one or more body signals. In a preferred embodiment, the one or more body signals include data obtained from one or more RIP belts.

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 system and method for brainwave stimulation using altered natural stimuli is provided. The system may comprise a control module and a natural stimulus modulator and is configured to alter at least one natural stimulus signal with frequencies configured to induce brainwave stimulation especially in the range effective for Alzheimer's and other neurological pathologies. The system is configured to prolonged use such that subjects are not prohibited from participation in daily activities and therefore the brainwave stimulation is sufficiently prolonged for enhanced effectiveness. The method for brainwave stimulation may comprise the steps of applying alterations to and delivering at least one natural stimulus signal, measuring brainwave signals and adjusting the alterations accordingly.

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 method, apparatus, and system for measuring respiratory effort of a subject are provided. A thorax effort signal and an abdomen effort signal are obtained. The thorax effort signal and the abdomen effort signal are each divided into a volume-contributing component of the respiratory effort and a paradox component. The paradox component represents a non-volume-contributing component of the respiratory effort. The abdomen paradox component is negatively proportional to the thoracic paradox component. The thorax effort signal or the abdomen effort signal or both are weighted by a weight factor to obtain a volume-proportional signal. The volume-proportional signal is proportional to the actual respiratory volume of the respiratory effort. A calibration factor for calibrating the thorax effort signal and the abdomen effort signal is obtained by optimizing the weight factor by minimizing thoracic paradox component and the abdomen paradox component.

Abstract: A method, apparatus, and system for measuring respiratory effort of a subject are provided. A thorax effort signal and an abdomen effort signal are obtained. The thorax effort signal and the abdomen effort signal are each divided into a volume-contributing component of the respiratory effort and a paradox component. The paradox component represents a non-volume-contributing component of the respiratory effort. The abdomen paradox component is negatively proportional to the thoracic paradox component. The thorax effort signal or the abdomen effort signal or both are weighted by a weight factor to obtain a volume-proportional signal. The volume-proportional signal is proportional to the actual respiratory volume of the respiratory effort. A calibration factor for calibrating the thorax effort signal and the abdomen effort signal is obtained by optimizing the weight factor by minimizing thoracic paradox component and the abdomen paradox component.

Abstract: A system and method are provided for measuring biometric signals. The system includes a first electrode, a second electrode and a circuit. The first electrode forms at least a portion of a first belt configured to be placed at least partially around a torso of a subject. The second electrode forms at least a portion of a second belt configured to be placed at least partially around the torso. The circuit is configured to measure a voltage between the first electrode and the second electrode. The first and second electrodes are arranged to determine the respiratory effort of the subject. The first or second electrode includes a capacitive electrode with a flexible structure including an insulated conductor. The insulated conductor is insulated such that the conductor does not come in direct contact with skin of the subject when the first or second electrode is placed on the subject.

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: An electrode belt connector is provided for electrically connecting a conductor of an electrode belt to a first snap portion of a snap connector electrode configured to be connected to a biometric device. The electrode belt connector includes a frame and an electrically conductive portion. The frame defines a corresponding second snap portion configured to mate with the first snap portion of the snap connector electrode. The electrode belt connector further includes a connecting portion configured to electrically connect the conductor of the electrode belt to the first snap portion of the snap connector electrode.

Abstract: A belt connector is provided. The belt connector is configured to electrically connect a conductor of an electrode belt to a male portion of a snap connector electrode connected to a biometric device. The belt connector includes a frame, a fastener, and an engaging member. The frame includes a receiving hole having radial flexibility. The receiving hole is configured to receive and fasten the frame to a protrusion of the male portion of the snap connector electrode. The fastener is configured to fasten the frame to a first end of the electrode belt. The engaging member is adjacent to the receiving hole and engages the conductor of the electrode belt by the conductor passing through the receiving hole. When the male portion of the snap connector electrode penetrates the receiving hole, the conductor is forced into contact with a lateral surface of the male portion of the snap connector electrode.

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.