A method for determining a respiratory condition or for assessing the efficacy of a treatment for a respiratory condition or for optimizing a treatment protocol for a respiratory condition in a subject comprising the steps of: a) obtaining image data concerning two or more three-dimensional images of the subject's respiratory system, which images have been previously acquired during an assessment period; b) calculating a specific three-dimensional structural model of the subject's respiratory system for each of the two or more three-dimensional images of step a); c) comparing the three-dimensional structural models of step b) with each other to determine a respiratory condition or to assess the efficacy of a treatment for a respiratory condition or to optimize a treatment protocol for a respiratory condition.

In one embodiment, there is provided a device for performing a plurality of respiratory diagnostic tests, comprising: a housing, a sensor assembly, and control circuitry configured to receive signals from the sensor assembly; wherein the device has a first configuration in which the device is configured to perform a first respiratory diagnostic test and a second configuration in which the device is configured to perform a second respiratory diagnostic test, wherein in the first configuration an airflow channel is defined through the device housing, the sensor assembly being configured to measure at least a first property of air in the airflow channel during the first respiratory diagnostic test, and wherein in the second configuration the airflow channel is modified relative to the first configuration, the sensor assembly being used to measure at least a second property of air in the airflow channel during the second respiratory diagnostic test. In another embodiment there is provided a stand-alone device is designed for performing an impulse oscillometry test.

A method and apparatus for the treatment of Sleep Apnea events and Hypopnea episodes wherein one embodiment comprises a wearable, belt like apparatus containing a microphone and a plethysmograph. The microphone and plethysmograph generate signals that are representative of physiological aspects of respiration, and the signals are transferred to an imbedded computer. The embedded computer extracts the sound of breathing and the sound of the heart beat by Digital Signal Processing techniques. The embedded computer has elements for determining when respiration parameters falls out of defined boundaries for said respiration parameters. This exemplary method provides real-time detection of the onset of a Sleep Apnea event or Hypopnea episode and supplies stimulation signals upon the determination of a Sleep Apnea event or Hypopnea episode to initiate an inhalation. In one embodiment, the stimulus is applied to the patient by a cutaneous rumble effects actuator and/or audio effects broadcasting.

A method and apparatus for the treatment of Sleep Apnea events and Hypopnea episodes wherein one embodiment comprises a wearable, belt like apparatus containing a microphone and a plethysmograph. The microphone and plethysmograph generate signals that are representative of physiological aspects of respiration, and the signals are transferred to an imbedded computer. The embedded computer extracts the sound of breathing and the sound of the heart beat by Digital Signal Processing techniques. The embedded computer has elements for determining when respiration parameters falls out of defined boundaries for said respiration parameters. This exemplary method provides real-time detection of the onset of a Sleep Apnea event or Hypopnea episode and supplies stimulation signals upon the determination of a Sleep Apnea event or Hypopnea episode to initiate an inhalation. In one embodiment, the stimulus is applied to the patient by a cutaneous rumble effects actuator and/or audio effects broadcasting.

A system and method for monitoring respiration of a user, comprising: a respiration sensing module including a sensor configured to detect a set of respiration signals of the user based upon movement resulting from the user's respiration; a supplementary sensing module comprising an accelerometer and configured to detect a set of supplemental signals from the user; an electronics subsystem comprising a power module configured to power the system and a signal processing module configured to condition the set of respiration signals and the set of supplemental signals; a housing configured to facilitate coupling of the respiration sensing module and the supplementary sensing module to the user; and a data link coupled to the electronics subsystem through the housing and configured to transmit data generated from the set of respiration signals and the set of supplemental signals, thereby facilitating monitoring of the user's respiration.

The disclosed physiological feedback systems and methods assist with assessing, monitoring and/or treating a patient experiencing a cardiac arrest event. The systems and methods receive multiple inputs and are continuous and/or iterative during a treatment session to provide physiological state trends of the patient. An index of the physiological state of the patient can be derived and confounders, and/or their effects, can be identified, and/or removed, from the index. Additionally, the systems and methods can assist with determining ischemic injury in a patient based on cerebral tissue oxygenation and/or other physiological data.

The present invention relates to systems and methods for monitoring impedance from a sensor in the chest of a subject to determine the status of lung inflation or presence of pneumothorax in the subject, the presence of pulmonary edema, the status of regional lung ventilation, and the status of cardiac contractility.

The present invention relates to systems and methods for monitoring impedance from a sensor in the chest of a subject to determine the status of lung inflation or presence of pneumothorax in the subject, the presence of pulmonary edema, the status of regional lung ventilation, and the status of cardiac contractility.

A subcutaneously implantable device includes a housing, a first prong, and a second prong. A first electrode on the first prong is configured to contact the first lung. A second electrode on the device is configured to contact the first lung or a second lung. A third electrode on the second prong is configured to contact the heart or the tissue surrounding the heart. Sensing circuitry in the housing in electrical communication with the first electrode, the second electrode, and the third electrode is configured to measure an impedance in the first lung and/or the second lung, and/or a transthoracic impedance across the first lung and the second lung through the first electrode and the second electrode, and to measure an electrical signal from the heart through the third electrode.

A subcutaneously implantable device includes a housing, a first prong, and a second prong. A first electrode on the first prong is configured to contact the first lung. A second electrode on the device is configured to contact the first lung or a second lung. A third electrode on the second prong is configured to contact the heart or the tissue surrounding the heart. Sensing circuitry in the housing in electrical communication with the first electrode, the second electrode, and the third electrode is configured to measure an impedance in the first lung and/or the second lung, and/or a transthoracic impedance across the first lung and the second lung through the first electrode and the second electrode, and to measure an electrical signal from the heart through the third electrode.