A controller or processor(s) implements detection of respiratory related conditions, such as asynchrony, associated with use of a respiratory treatment apparatus or ventilator. Based on data derived from sensor signals associated with the respiratory treatment, the detector may evaluate a feature set of detection values to determine whether or not an asynchrony occurs in a breath of the patient's respiratory cycle such as by comparing the values against a set of thresholds. Different events may also be identified based on the particular feature set and threshold(s) involved in the detection processing. Automated determination of feature sets may also be implemented to design different asynchrony event classifiers. The methodologies may be implemented by computers or by respiratory treatment apparatus. The detection of such asynchrony events can then also serve as part of control logic for automated adjustments to the control parameters of the respiratory treatment generated by the respiratory treatment apparatus.

Systems and methods to are disclosed to determine a sleep disordered breathing parameter of a patient, including receiving respiration information of the patient and temperature information of the patient and to determine the sleep disordered breathing parameter of the patient using the received respiration information and temperature information of the patient.

Systems and methods to are disclosed to determine a sleep disordered breathing parameter of a patient, including receiving respiration information of the patient and temperature information of the patient and to determine the sleep disordered breathing parameter of the patient using the received respiration information and temperature information of the patient.

A device for measuring lung function parameters using quiet exhalation has a flow tube with a mouthpiece end and an outlet, a shutter covering the outlet of the flow tube, a controllable latch closing and releasing the shutter, a flow sensor for measuring flow in the flow tube following release of the shutter, a pressure sensor for measuring pressure in the flow tube prior to the release of the shutter, a latch controller connected to the pressure sensor and the controllable latch, and a check valve arranged in the flow tube or the shutter for allowing inhalation while the shutter is closed so that the device can be used throughout at least one inhalation and exhalation cycle.

A device for measuring lung function parameters using quiet exhalation has a flow tube with a mouthpiece end and an outlet, a shutter covering the outlet of the flow tube, a controllable latch closing and releasing the shutter, a flow sensor for measuring flow in the flow tube following release of the shutter, a pressure sensor for measuring pressure in the flow tube prior to the release of the shutter, a latch controller connected to the pressure sensor and the controllable latch, and a check valve arranged in the flow tube or the shutter for allowing inhalation while the shutter is closed so that the device can be used throughout at least one inhalation and exhalation cycle.

There is provided a system for monitoring a heart of a subject and monitoring impedance-related parameters, comprising: a feeding tube, an electrode disposed(s) on a distal end of the feeding tube, a controller that performs, while the feeding tube is in located in an esophagus and feeding is delivered to a subject via the feeding tube, in a plurality of iterations: continuously measuring voltage at the electrode(s) of the feeding tube, applying alternating current(s) between the electrode(s) of the feeding tube and at least one other electrode, computing impedance measurement(s) from the electrode(s) of the feeding tube according to the applied alternating current(s) and the measured voltage, computing impedance-related parameter(s) based on the impedance measurement(s), terminating the application of the alternating current(s), obtaining an electrocardiogram (ECG) measurement based on the voltage measured at the electrode(s) of the feeding tube, and providing the impedance-related parameter(s) and the ECG measurement.

A process, a signal processing unit and to a ventilator automatically calculate a set point for a frequency, with which the ventilator performs ventilation strokes and thereby mechanically ventilates the patient. An alveolar or proximal minute volume is predefined. A lung time constant for the lungs of the patient is determined. The volume of a dead space in a fluid connection between the lungs and the ventilator is determined. A mandatory frequency set point (f.sub.set,mand) for the mandatory ventilation of the patient is calculated. An ideal frequency (f.sub.spon), with which the patient can achieve the minute volume by means of spontaneous breathing, is calculated. The ventilation frequency set point is calculated as a weighted average of the mandatory frequency set point (f.sub.set,mand) and of the ideal frequency (f.sub.spon). The averaging depends on a determined actual intensity of the spontaneous breathing of the patient.

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.

A device and a process determine a value indicative of a respective regional compliance of lungs of a patient (P) in a plurality of different regions of the lungs. An airway pressure sensor (3) measures a value indicative of the pressure (Paw), which is variable over time, at the airway of the patient (P). A difference between the end-inspiratory transpulmonary pressure and the end-expiratory transpulmonary pressure is determined. An EIT measuring device (17) measures by electrical impedance tomography (EIT) a change in volume of a lung region. The difference between the end-inspiratory volume and the end-expiratory volume of the lung region is determined with the use of signals of the EIT measuring device (17). A quotient of the volume difference for the region in question and the pressure difference present at the lungs is calculated as the value indicative of the regional compliance of the lung region.

A breathing apparatus (1) is disclosed that is adapted to determine a transpulmonary pressure in a patient (125) when connected to said breathing apparatus. A control unit (105) is operable to set a first mode of operation for ventilating said patient with a first Positive End Expiratory Pressure (PEEP) level; set a second mode of operation for ventilating said patient with a second PEEP level starting from said first PEEP level; and determine said transpulmonary pressure (Ptp) based on a change in end-expiratory lung volume (ΔEELV) and a difference between said first PEEP level and said second PEEP level (ΔPEEP). Furthermore, a method and computer program are disclosed.