Systems and methods described herein use pairing to associate a wireless sensor with a patient monitoring device such as a bedside patient monitor or a mobile device. A signal emitted by a patient monitoring device can be detected by a wireless sensor. The wireless sensor can be associated with the detected signal and pair the wireless sensor with the patient monitoring device. The wireless sensor can be configured to enter into a patient parameter sensing mode of operation after the association of the wireless sensor with the patient monitoring device.

Systems and methods described herein use pairing to associate a wireless sensor with a patient monitoring device such as a bedside patient monitor or a mobile device. A signal emitted by a patient monitoring device can be detected by a wireless sensor. The wireless sensor can be associated with the detected signal and pair the wireless sensor with the patient monitoring device. The wireless sensor can be configured to enter into a patient parameter sensing mode of operation after the association of the wireless sensor with the patient monitoring device.

The present invention relates to the field of medical monitoring, and in particular non-contact video monitoring to measure tidal volume of a patient. Systems, methods, and computer readable media are described for determining a region of interest of a patient and monitoring that region of interest to determine tidal volume of the patient. This may be accomplished using a depth sensing camera to monitor a patient and determine how their chest and/or other body parts are moving as the patient breathes. This sensing of movement can be used to determine the tidal volume measurement.

This disclosure generally relates to systems and methods for detecting, monitoring, and responding to abnormalities in an infant's breathing. One or more sensing devices may collect infant breathing related data, which may be filtered and converted to a frequency signal. The frequency signal may be monitored for irregularity or stoppage, and a processing module may determine whether the irregularity or stoppage is caused by an actual stoppage or irregularity in infant breathing. If infant breathing is determined to have stopped, a corrective action may be performed.

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

A system for clinical decision support for a caregiver during a clinical encounter involving respiratory distress includes a defibrillator-patient monitor including sensors configured to gather patient physiological data, a user interface device, a memory, and a processor communicatively coupled to the defibrillator-patient monitor, the memory, and the user interface device and configured to control the user interface device to display diagnosis and treatment pathways (DTPs) including a respiratory distress DTP, receive a user selection of the respiratory distress DTP, control the user interface device to provide at least a portion of the physiological data in response to the user selection of the respiratory distress DTP, provide a suggested respiratory distress diagnosis at the user interface device based on the physiological data and the user selection of the respiratory distress DTP, and provide a respiratory distress treatment protocol at the user interface device based on the suggested respiratory distress diagnosis.

The present disclosure is related to systems and methods for motion detection. The method includes obtaining, via at least one detection device, detection data of a subject located in a field of view (FOV) of a medical device. The method also includes determining motion data of the subject based on the detection data.

The present disclosure is related to systems and methods for motion detection. The method includes obtaining, via at least one detection device, detection data of a subject located in a field of view (FOV) of a medical device. The method also includes determining motion data of the subject based on the detection data.

A surgical instrument navigation system and method of use is provided that visually simulates a virtual volumetric scene of a body cavity of a patient from a point of view of a surgical instrument residing in the cavity of the patient, wherein the surgical instrument, as provided, may be a steerable surgical catheter with a biopsy device and/or a surgical catheter with a side-exiting medical instrument, among others. Additionally, systems, methods and devices are provided for forming a respiratory-gated point cloud of a patient's respiratory system and for placing a localization element in an organ of a patient.