A respiration sensor is described of a respiration implant system for an implanted patient with impaired breathing. A sensor body is made of electrically insulating material and is configured to fit between two adjacent ribs and between the pectoralis muscle and the parasternal muscle of the implanted patient, with the bottom surface adjacent to an superficial surface of the parasternal muscle and the top surface adjacent to a profound surface of the pectoralis muscle. At least one parasternal sensor electrode is located on the bottom surface of the sensor body and is configured to cooperate with the electrically insulating material of the sensor body to sense a parasternal electromyography (EMG) signal representing electrical activity of the adjacent parasternal muscle with minimal influence by electrical activity of the nearby pectoralis muscle.

A respiration sensor is described of a respiration implant system for an implanted patient with impaired breathing. A sensor body is made of electrically insulating material and is configured to fit between two adjacent ribs and between the pectoralis muscle and the parasternal muscle of the implanted patient, with the bottom surface adjacent to an superficial surface of the parasternal muscle and the top surface adjacent to a profound surface of the pectoralis muscle. At least one parasternal sensor electrode is located on the bottom surface of the sensor body and is configured to cooperate with the electrically insulating material of the sensor body to sense a parasternal electromyography (EMG) signal representing electrical activity of the adjacent parasternal muscle with minimal influence by electrical activity of the nearby pectoralis muscle.

A phrenic nerve pacing monitor assembly for a cryogenic balloon catheter system used during a cryoablation procedure, which monitors movement of a diaphragm of a patient, includes a pacing detector and a safety system. The pacing detector directly monitors movement of the diaphragm of the patient to detect when phrenic nerve pacing is occurring. Additionally, the pacing detector generates monitor output based on the movement of the diaphragm of the patient. The safety system receives the monitor output and based at least in part on the monitor output selectively provides an alert when movement of the diaphragm of the patient is atypical. The safety system is configured to provide the alert only while at least one of (i) phrenic nerve pacing is occurring, and (ii) cryoablation is occurring.

A system, device, and method to determine a dominant activity observed from body-worn sensors and accurately characterize the activity. Various embodiments may include using Periodicity Transform (PT) along with Partial Cycle Measurement (PCM) calculations to detect a dominant activity associated with a data interval from one or more data channels. For example, in a body-worn sensor (e.g., chest-worn, limb-worn, etc.), there may be contradictory signals that overlap in time, frequency, amplitudes, and/or the like, and this overlapping data may convey the specific dominant information in a mixed way. Various embodiments described herein seek to determine the dominant source of information from any channel by using fractional cycles and periodicity transforms. For example periodicity transforms according to various embodiments may provide specific transformation methods that are implementable in real-time and identify the dominant cycle period when used along with heuristics to eliminate harmonic/sub-period information. Accordingly, the various embodiments described herein may determine a dominant activity happening inside or with the patient along with a reliability measure (e.g., signal-quality index) for the particular measurement interval.

A system, device, and method to determine a dominant activity observed from body-worn sensors and accurately characterize the activity. Various embodiments may include using Periodicity Transform (PT) along with Partial Cycle Measurement (PCM) calculations to detect a dominant activity associated with a data interval from one or more data channels. For example, in a body-worn sensor (e.g., chest-worn, limb-worn, etc.), there may be contradictory signals that overlap in time, frequency, amplitudes, and/or the like, and this overlapping data may convey the specific dominant information in a mixed way. Various embodiments described herein seek to determine the dominant source of information from any channel by using fractional cycles and periodicity transforms. For example periodicity transforms according to various embodiments may provide specific transformation methods that are implementable in real-time and identify the dominant cycle period when used along with heuristics to eliminate harmonic/sub-period information. Accordingly, the various embodiments described herein may determine a dominant activity happening inside or with the patient along with a reliability measure (e.g., signal-quality index) for the particular measurement interval.

Sensing an environment by confining a monitored live subject in an enclosure, detecting an effect on a coaxial piezoelectric cable resulting from the monitored live subject, wherein the coaxial piezoelectric cable is located at least proximate to the enclosure, and deriving information about a state of the monitored live subject based on the detected effect.

Sensing an environment by confining a monitored live subject in an enclosure, detecting an effect on a coaxial piezoelectric cable resulting from the monitored live subject, wherein the coaxial piezoelectric cable is located at least proximate to the enclosure, and deriving information about a state of the monitored live subject based on the detected effect.

A system and method which functions to automatically monitor a ruminant animal. The system includes a 3D camera system that obtains images from a region of interest. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

The present technology relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient. In some embodiments, the systems, methods, and/or computer readable media can identify steep changes in depths. For example, the systems, methods, and/or computer readable media can identify large, inaccurate changes in depths that can occur at edge regions of a patient. In these and other embodiments, the systems, methods, and/or computer readable media can adjust the identified steep changes in depth before determining one or more patient respiratory parameters.

The present technology relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient. In some embodiments, the systems, methods, and/or computer readable media can identify steep changes in depths. For example, the systems, methods, and/or computer readable media can identify large, inaccurate changes in depths that can occur at edge regions of a patient. In these and other embodiments, the systems, methods, and/or computer readable media can adjust the identified steep changes in depth before determining one or more patient respiratory parameters.