An active medical device, comprising a processor, a memory unit, and at least one of an accelerometer and a detection unit configured to detect a body impedance. During operation, the active medical device carries out the following steps a) measuring a body impedance of a patient with the detection unit during a first period of time to obtain time-dependent impedance data and calculating a power spectral density of the impedance data; b) alternatively or additionally, to step a), measuring an acceleration of a body of the patient with the accelerometer during the first period of time to obtain time-dependent acceleration data and calculating a power spectral density of the acceleration data; c) identifying coughing of the patient on the basis of the calculated power spectral density if at least 1% of all values of the power spectral density have a frequency of at least 1 Hz.

A breathing monitor that includes a contactless sensor that uses magneto-LC resonance technology is provided. The breathing monitor collects breathing data from a patient that indicates a breathing pattern of the patient. A model trained using machine learning using breathing patterns collected from patients known to have different stages of COVID-19 is used to process the collected breathing data and to determine whether the patient has COVID-19. The model further determines the stage of COVID-19. The breathing monitor can identify likely COVID-19 infections faster than existing tests and requires no contact between the patient and a medical professional, which is an improvement over existing COVID-19 detection technologies.

A sleep therapy system comprises a sensor arrangement for detecting physiological parameters of a subject, a detection system for detecting a sleeping position of the subject and an alert system for instructing a change in sleep position of the subject. From the monitored physiological parameters, fluid accumulation is identified in a region of the body of the subject. The alert system is controlled to instruct a change in sleep position thereby to reverse the fluid accumulation.

There is provided a method and system of monitoring a respiratory condition of a subject, the method including obtaining input data indicative of an alternating signal representative of change of length of at least part of a contour along a subject's chest wall and/or abdominal wall during one or more breathing cycles, the input data generated by periodically measuring the change of length during the breathing cycles; analyzing the input data to detect an irregular breathing pattern, the irregular breathing pattern represented by at least one local change in the form of the alternating signal during an expiratory phase of at least one of the one or more breathing cycles; and determining a respiratory condition of the subject based on a result of the detection.

A system for stimulating body tissue may include a stimulation lead, sensors, and a control unit. The stimulation lead may include one or more energy sources. The control unit may include a processor and non-transitory computer readable medium, and an interface (e.g., touch screen interface) for receiving user inputs and communicating information to the user. The sensors may be configured to provide impedance measurements to the control unit. The control unit may calculate lung gas distributions and/or generate an image modeling lung gas distributions. Stimulation delivered by the stimulation may be adjusted based on the impedance measurements.

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 system for ventilation of a being, comprising at least one ventilator and at least one EIT measuring device, the ventilator comprising at least one controllable respiratory gas source and a programmable control unit for controlling the respiratory gas source and the EIT measuring device comprising at least one sensor apparatus for measuring impedance values of at least one lung of the being and at least one calculation and evaluation unit, and the system assigning the impedance values measured by way of the at least one sensor apparatus to pixels n, and the control unit being configured as specified in the claims.

A system and method for automatically implementing a therapy for treating sleep disordered breathing.

A ventilation monitoring system for assisting in proper placement of an endotracheal tube in a subject includes: a capnography sensor configured to be placed in fluid communication with the endotracheal tube and to provide information representative of the subject's breath; and a processor in communication with the capnography sensor. The processor is configured to provide an indication of proper endotracheal tube placement when (1) a first indication of the subject's breath and a positive result of a first auscultation are identified within a first predetermined time period, and (2) a second indication of the subject's breath and a positive result of a second auscultation are identified within a second predetermined time period. The first auscultation includes auscultation of a subject's left lung, right lung, left axillary region, right axillary region, or abdomen. The second auscultation includes auscultation of another region of the subject different from the first auscultation.

An apparatus includes a medical device that includes a cardiopulmonary resuscitation (CPR) treatment feedback device, a memory, and at least one processor and a plurality of electrodes configured to provide at least an electrical impedance signal to the processor. The electrical impedance signal correspond to an electrical impedance measured at a chest of a patient. The processor is configured to receive the electrical impedance signal, process the electrical impedance signal to determine information representative of chest compressions performed by a rescuer on the patient during the CPR treatment of the patient, based on the processing, determine corrective action for the CPR treatment, and provide CPR treatment feedback comprising the corrective action at the CPR treatment feedback device.