Systems and methods for detecting worsening cardiac conditions such as worsening heart failure events are described. A system may include sensor circuits to sense physiological signals and signal processors to generate from the physiological signals first and second signal metrics. The system may include a risk stratifier circuit to produce a cardiac risk indication. The system may use at least the first signal metric to generate a primary detection indication, and use at least the second signal metric and the risk indication to generate a secondary detection indication. The risk indication may be used to modulate the second signal metric. A detector circuit may detect the worsening cardiac event using the primary and secondary detection indications.

Systems and methods for detecting worsening cardiac conditions such as worsening heart failure events are described. A system may include sensor circuits to sense physiological signals and signal processors to generate from the physiological signals first and second signal metrics. The system may include a risk stratifier circuit to produce a cardiac risk indication. The system may use at least the first signal metric to generate a primary detection indication, and use at least the second signal metric and the risk indication to generate a secondary detection indication. The risk indication may be used to modulate the second signal metric. A detector circuit may detect the worsening cardiac event using the primary and secondary detection indications.

A method for measuring respiratory parameters of a subject using a range imaging sensor, wherein the method includes: receiving from the range imaging sensor at least one raw image of at least one portion of the torso of the subject, wherein each point of the raw image represents the distance between the range imaging sensor and the subject; generating a surface image of at least one portion of a surface of the torso of the subject by surface interpolation of the raw image; estimating a respiratory signal as a function of time calculated as the spatial average, in a given region of interest (ROI) defined on the torso of the subject, of the differences between the depth values of the surface image at a given time and the depth values of a reference surface image; and estimating a lung volume.

A method for measuring respiratory parameters of a subject using a range imaging sensor, wherein the method includes: receiving from the range imaging sensor at least one raw image of at least one portion of the torso of the subject, wherein each point of the raw image represents the distance between the range imaging sensor and the subject; generating a surface image of at least one portion of a surface of the torso of the subject by surface interpolation of the raw image; estimating a respiratory signal as a function of time calculated as the spatial average, in a given region of interest (ROI) defined on the torso of the subject, of the differences between the depth values of the surface image at a given time and the depth values of a reference surface image; and estimating a lung volume.

Methods and systems for assessing characteristics of a lung of a patient. A method includes, during an applied positive end expiratory pressure, identifying a first position of a patient, acquiring first impedance data representative of at least a region of patient's lung when the patient is in the first position, during the applied positive end expiratory pressure, identifying a second different position of a patient, acquiring second impedance data representative of at least the region of patient's lung when the patient is in the second position, comparing the first impedance data with the second impedance data, and determining whether the applied positive end expiratory pressure is sufficient to effectuate recruitment.

A system and related methods for displaying a ventilation distribution of a patient. The system may include a measuring system for measuring the ventilation distribution of the patient and a display device. The system may further include a controller operably coupled to the measuring system and the display device configured to cause the measuring system to measure the ventilation distribution of the patient at a time interval and plot an element representing the measured ventilation distribution of the patient within a Cartesian coordinate system of a graphical user interface of the display device. The element may be plotted with a higher intensity relative to other elements representing previously measured ventilation distributions of the patient.

A system and related methods for displaying a ventilation distribution of a patient. The system may include a measuring system for measuring the ventilation distribution of the patient and a display device. The system may further include a controller operably coupled to the measuring system and the display device configured to cause the measuring system to measure the ventilation distribution of the patient at a time interval and plot an element representing the measured ventilation distribution of the patient within a Cartesian coordinate system of a graphical user interface of the display device. The element may be plotted with a higher intensity relative to other elements representing previously measured ventilation distributions of the patient.

Systems and methods to monitor and track the treatment of bones using a bone correction system are provided. The method includes implanting growth modulating implants of a bone correction system in two or more bones of a patient. Each growth modulating implant includes an implant body having at least one sensor device embedded in the implant body. The method includes receiving sensor data from the sensor devices and determining an operational status of the growth modulating implants, based on the received sensor data. The method includes determining, by the processor, a longitudinal growth or growth rate between the two or more bones, based on the received sensor data and causing a display device to selectively display a graphical user interface (GUI) representative of at least one of the longitudinal growth and the growth rate of the patient.

Systems and methods to monitor and track the treatment of bones using a bone correction system are provided. The method includes implanting growth modulating implants of a bone correction system in two or more bones of a patient. Each growth modulating implant includes an implant body having at least one sensor device embedded in the implant body. The method includes receiving sensor data from the sensor devices and determining an operational status of the growth modulating implants, based on the received sensor data. The method includes determining, by the processor, a longitudinal growth or growth rate between the two or more bones, based on the received sensor data and causing a display device to selectively display a graphical user interface (GUI) representative of at least one of the longitudinal growth and the growth rate of the patient.

Aspects relate to systems and methods for inspirate sensing to determine a probability of an emergent physiological state. An exemplary system an inhalation sensor module configured to sense and transmit a plurality of inhalation parameters as a function of at least an inspirate, an environmental sensor module configured to sense and transmit a plurality of environmental parameters as a function of an environment, and a processor configured to generate a probability of an emergent physiological state by: inputting at least an environmental parameter and at least an inhalation parameter to a probabilistic machine learning model and generating the probability of an emergent physiological state as a function of the machine learning model.