The present invention provides a method of conducting a sleep analysis by collecting physiologic and kinetic data from a subject, preferably via a wireless in-home data acquisition system, while the subject attempts to sleep at home. The sleep analysis, including clinical and research sleep studies and cardiorespiratory studies, can be used in the diagnosis of sleeping disorders and other diseases or conditions with sleep signatures, such as Parkinson's, epilepsy, chronic heart failure, chronic obstructive pulmonary disorder, or other neurological, cardiac, pulmonary, or muscular disorders. The method of the present invention can also be used to determine if environmental factors at the subject's home are preventing restorative sleep.

An apparatus for capturing the electrical behavior of the human body during respiration and/or ventilation, the apparatus comprising ventilation elements, elements for capturing the impedance of the patient and at least one control unit. The impedance is captured using at least two electrically conductive electrodes, which capture the electrical behavior of the human body. The elements for capturing the impedance are configured to capture the change in the impedance of the human body over time during respiration and/or ventilation.

An apparatus for capturing the electrical behavior of the human body during respiration and/or ventilation, the apparatus comprising ventilation elements, elements for capturing the impedance of the patient and at least one control unit. The impedance is captured using at least two electrically conductive electrodes, which capture the electrical behavior of the human body. The elements for capturing the impedance are configured to capture the change in the impedance of the human body over time during respiration and/or ventilation.

A breath analyzer for detecting breathing events of a person ventilated with a respiratory gas, comprising an electronic computing and storage unit configured to receive a signal corresponding to a ventilation pressure and/or a respiratory flow and/or a tidal volume of the respiratory gas delivered to the person and, during a predetermined analysis duration, to detect a curve of the signal by a curve analyzer. A ventilator for ventilating a person with a respiratory gas, which ventilator comprises the breath analyzer and a method for detecting breathing events of a person ventilated with a respiratory gas is also described.

A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time; calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.

A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time; calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.

The present invention refers to providing a system that allows to very accurately determine the state of a disease, like COPD, in a patient. The system (100) comprises a unit (101) for providing images of the region of interest corresponding to different states of the region of interest, a unit (102) for elastically registering the images to each other resulting in an elastic registration output, a unit (103) for determining a specific tissue region in an image, a unit (104) for determining a specific elastic registration output for the specific tissue region based on the determined elastic registration output, and a unit (105) for determining an elastic indicator for the specific tissue type based on the specific elastic registration output. Thus, a state of a disease that influences the elastic properties of the specific tissue type can be determined very accurately.

The present invention refers to providing a system that allows to very accurately determine the state of a disease, like COPD, in a patient. The system (100) comprises a unit (101) for providing images of the region of interest corresponding to different states of the region of interest, a unit (102) for elastically registering the images to each other resulting in an elastic registration output, a unit (103) for determining a specific tissue region in an image, a unit (104) for determining a specific elastic registration output for the specific tissue region based on the determined elastic registration output, and a unit (105) for determining an elastic indicator for the specific tissue type based on the specific elastic registration output. Thus, a state of a disease that influences the elastic properties of the specific tissue type can be determined very accurately.

A processing device configured to process physiological information of a subject, the processing device includes a reception interface configured to receive first data corresponding to a measurement waveform of a first physiological parameter of the subject, and second data related to an acquisition environment of the first physiological parameter, an predictor configured to predict a first probability of correctly calculating a value of the first physiological parameter, based on the first data, and a processor configured to identify, of the first data, a part in which the first probability is higher than a first threshold under a circumstance where the first physiological parameter is determined to be abnormally acquired based on the second data.

A processing device configured to process physiological information of a subject, the processing device includes a reception interface configured to receive first data corresponding to a measurement waveform of a first physiological parameter of the subject, and second data related to an acquisition environment of the first physiological parameter, an predictor configured to predict a first probability of correctly calculating a value of the first physiological parameter, based on the first data, and a processor configured to identify, of the first data, a part in which the first probability is higher than a first threshold under a circumstance where the first physiological parameter is determined to be abnormally acquired based on the second data.