The invention relates to an apparatus for determining a relation between a surface motion of a body (BD) and an object motion of an object (OB) within the body (BD). The apparatus comprises a first sensing unit configured to acquire a first position signal indicative of a position of a first element placed at the location on the surface of the body with the surface motion; a second sensing unit configured to acquire a second position signal indicative of a position of a second element attached to an interventional device and placed on or in the object, wherein the first position signal and the second position signal are acquired during a given duration synchronously; and a third unit for calculating the relation between the surface motion and the object motion based on the first position signal and the second position signal. The invention also relates to a corresponding method for determining the motion relation.

An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire sensor data descriptive of patient motion and at least one processor coupled to the at least one sensor. The at least one processor is configured to detect the patient motion from the sensor data, and to classify the patient motion.

An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire sensor data descriptive of patient motion and at least one processor coupled to the at least one sensor. The at least one processor is configured to detect the patient motion from the sensor data, and to classify the patient motion.

Various examples are provided for accurate heart rate measurement. In one example, a method includes determining a respiratory rate (RR) and respiration displacement from radar-measured cardiorespiratory motion data; adjusting notch depths of a harmonics comb notch digital filter (HCNDF) based upon the respiration displacement; generating filtered cardiorespiratory data by filtering the radar-measured cardiorespiratory motion data with the HCNDF; and identifying a heart rate (HR) from the filtered cardiorespiratory data. In another example, a system includes radar circuitry configured to receive a cardiorespiratory motion signal reflected from a monitored subject; and signal processing circuitry configured to determine a respiration displacement based upon the cardiorespiratory motion signal; adjust notch depths of a HCNDF based upon the respiration displacement; filter the cardiorespiratory motion data with the HCNDF; and identifying a heart rate (HR) from the filtered cardiorespiratory data.

There is provided a method and apparatus for determining respiratory information for a subject. One or more physiological signals indicative of at least one physiological characteristic of the subject is acquired (202) and contextual information relating to at least one of the subject and the one or more physiological signals is obtained (204). Based on the contextual information, at least one signal processing algorithm for each of the one or more physiological signals is selected (206), the at least one signal processing algorithm being adapted to determine respiratory information. Respiratory information for the subject is determined based on the one or more physiological signals using the at least one signal processing algorithm selected for the one or more physiological signals (208).

A method for measuring diaphragmatic functional parameters, including: a) stimulation of the diaphragm to generate a movement of the diaphragm, b) during the movement of the diaphragm, imaging the diaphragm over time including the steps of emitting unfocused ultrasound waves, detecting ultrasound waves reflected and/or scattered by organic tissues, processing the reflected and/or scattered ultrasound waves over time, c) processing, images to measure movements of the diaphragm over time, and/or a propagation of a movement through the diaphragm over time, and/or a propagation speed of a movement through the diaphragm over time, and/or one or more movements of different parts of the diaphragm over time, and/or an amplitude of a movement of the diaphragm over time, and/or a time separating the stimulation of the diaphragm from the occurrence of a movement of the diaphragm associated to the stimulation, d) based on the measurements, determining functional parameters.

A system for visualizing movement of structures within a patient's chest is described herein. The system includes an electromagnetic tracking system, a computing device and a display. The computing device includes a processor configured generate a 3D model of an interior of the patient, obtain positions of EM sensors for the 3D model, determine positions of the EM sensors at intervals during the respiratory cycle, determine positions of the EM sensors at maximum tidal volume and minimum tidal volume, determine differences between the positions of the EM sensors at maximum tidal volume and for the 3D model, generate a 3D model at maximum tidal volume based on the differences between the positions of the EM sensors at maximum tidal volume and for the 3D model, and store in memory the 3D model at maximum tidal volume.

A system for visualizing movement of structures within a patient's chest is described herein. The system includes an electromagnetic tracking system, a computing device and a display. The computing device includes a processor configured generate a 3D model of an interior of the patient, obtain positions of EM sensors for the 3D model, determine positions of the EM sensors at intervals during the respiratory cycle, determine positions of the EM sensors at maximum tidal volume and minimum tidal volume, determine differences between the positions of the EM sensors at maximum tidal volume and for the 3D model, generate a 3D model at maximum tidal volume based on the differences between the positions of the EM sensors at maximum tidal volume and for the 3D model, and store in memory the 3D model at maximum tidal volume.

A device for monitoring breathing activity of, e.g., athletes while exercising includes a breathing activity sensor configured to be worn by a wearer and to provide a breathing activity signal indicative of the breathing activity of the wearer. A motion sensor is configured to be worn by the wearer and to provide a motion signal indicative of the motion activity of the wearer. A processing arrangement is coupled to the breathing activity sensor to process the breathing activity signal and produce a processed breathing activity signal. The processing arrangement includes filter circuitry having a first filtering bandwidth and a second filtering bandwidth. The first filtering bandwidth is larger than the second filtering bandwidth. The filter circuitry is coupled to the motion sensor and operates with one of the first filtering bandwidth and the second filtering bandwidth selected as a function of the motion signal from the motion sensor.

A device for monitoring breathing activity of, e.g., athletes while exercising includes a breathing activity sensor configured to be worn by a wearer and to provide a breathing activity signal indicative of the breathing activity of the wearer. A motion sensor is configured to be worn by the wearer and to provide a motion signal indicative of the motion activity of the wearer. A processing arrangement is coupled to the breathing activity sensor to process the breathing activity signal and produce a processed breathing activity signal. The processing arrangement includes filter circuitry having a first filtering bandwidth and a second filtering bandwidth. The first filtering bandwidth is larger than the second filtering bandwidth. The filter circuitry is coupled to the motion sensor and operates with one of the first filtering bandwidth and the second filtering bandwidth selected as a function of the motion signal from the motion sensor.