A system, apparatus, and method using multiple complementary sensors for the monitoring and wireless communication of several respiration characteristics—that is badge-size, wearable on the outside of clothing, and non-invasive.

The present disclosure relates to a coil assembly of an MRI device. The MRI device may be configured to perform an MR scan on a subject. The coil assembly may include one or more coil units, a substrate, and a sensor mounted within or on the substrate. The one or more coil units may be configured to receive an MR signal from the subject during the MR scan. The substrate may be configured to position the one or more coil units during the MR scan. The one or more coil units may be mounted within or on the substrate. The sensor may be configured to detect a motion signal relating to a physiological motion of the subject before or during the MR scan.

The present disclosure relates to a coil assembly of an MRI device. The MRI device may be configured to perform an MR scan on a subject. The coil assembly may include one or more coil units, a substrate, and a sensor mounted within or on the substrate. The one or more coil units may be configured to receive an MR signal from the subject during the MR scan. The substrate may be configured to position the one or more coil units during the MR scan. The one or more coil units may be mounted within or on the substrate. The sensor may be configured to detect a motion signal relating to a physiological motion of the subject before or during the MR scan.

Ultra-low frequency (ULF) tactile stimuli, generated by an electro-mechanical actuator, have a spectrum of biological effects. These frequencies are herewith defined as 2 Hz or lower and may comprise stimulus frequencies as low as 0.1 Hz, or one cycle per ten seconds. The ULF generator can be paired with at least one sensor that is configured to monitor a physiological property of the user. A controller is in communication with the at least one electro-mechanical actuator and the at least one sensor and is configured to control operation of the at least one electro-mechanical actuator, in at least a first operating mode, based on measurements of the at least one sensor.

The present invention relates to an improved heartbeat display and notification system. The system includes retrieving a stream of heartbeat data from an external heart monitoring device. The system further includes storing the retrieved stream of heartbeat data and rendering portions of the stored heartbeat data. Furthermore, the system includes displaying the rendered portions of the stored heartbeat data as a heartbeat rendering. The heartbeat display and notification system also includes determining, and when necessary, updating a user's baseline heart rate. Additionally, the system includes storing the user's baseline heart rate, comparing the user's present heart rate to the user's baseline heart rate. The system further includes generating a heartbeat rendering in response to the comparison and issuing a notification when the difference between the user's present heart rate and the user's baseline heart rate is beyond a pre-defined threshold.

A dynamic analysis apparatus includes a hardware processor. The hardware processor is configured to perform the following, calculate a prediction rate multiplied by a respiratory function value of the subject in predicting the respiratory function value when an exclusion target portion is excluded; obtain input of the exclusion target portion in an anatomical unit from the input unit, based on the anatomical unit, specify a partial region of the lung field in which a characteristic amount relating to a respiratory function in the plurality of frame images is calculated, calculate the characteristic amount related to the respiratory function in the partial region of the lung field specified from the plurality of frame images and the characteristic amount related to the respiratory function of an entire lung field, and calculate the prediction rate based on a characteristic amount ratio which is a ratio of the two calculated characteristic amounts.

A dynamic analysis apparatus includes a hardware processor. The hardware processor is configured to perform the following, calculate a prediction rate multiplied by a respiratory function value of the subject in predicting the respiratory function value when an exclusion target portion is excluded; obtain input of the exclusion target portion in an anatomical unit from the input unit, based on the anatomical unit, specify a partial region of the lung field in which a characteristic amount relating to a respiratory function in the plurality of frame images is calculated, calculate the characteristic amount related to the respiratory function in the partial region of the lung field specified from the plurality of frame images and the characteristic amount related to the respiratory function of an entire lung field, and calculate the prediction rate based on a characteristic amount ratio which is a ratio of the two calculated characteristic amounts.

Computer implemented methods and systems are provided that comprise, under control of one or more processors of a medical device, where the one or more processors are configured with specific executable instructions. The methods and systems obtain motion data indicative of at least one of a posture or a respiration cycle; obtain cardiac activity (CA) signals for a series of beats; identify whether a characteristic of interest (COI) from at least a first segment of the CA signals exceeds a COI limit; analyze the motion data to determine whether at least one of the posture or respiration cycle at least in part caused the COI to exceed the COI limit. Based on the analyzing operation, the methods and systems automatically adjust a CA sensing parameter utilized by the medical device to detect R-waves in subsequent CA signals; and detect an arrhythmia based on a presence or absence of one or more of the R-waves in at least a second segment of the CA signals.

In one aspect, a computerized method breath monitoring and feedback application comprising the steps of providing a breath monitoring and feedback application in a mobile device; providing a means to monitor a user breath; communicating the user breath statistics to the breath monitoring and feedback application; and with the breath monitoring and feedback application, communicating an application mediation technique to the user.

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.