A system for estimating breathing frequency and heartbeat frequency of a subject, comprises at least one ultra-wideband (UWB) transceiver, connected to at least one hardware processor, configured to: receive a plurality of readings from the UWB transceiver, each of the readings having a time and comprising a plurality of intensity values at the time, each of the intensity values having a corresponding distance value representing a distance between the UWB transceiver and the subject; determine a Range-Doppler map from the plurality of readings; analyze the Range-Doppler map to determine a breathing frequency value of the subject; perform null steering of a plurality of Doppler-map frequencies in the Range-Doppler map to nullify the breathing frequency value and integer multiples of the breathing frequency value to obtain a plurality of combined frequencies; and determine a heartbeat frequency value for which a plurality of computed frequencies corresponds with the plurality of combined frequencies.

Systems and methods for using a smart carpet to monitor a health status of an individual. The smart carpet has electronics and a plurality of pressure sensing areas for sensing plantar pressure of the individual. A monitoring computer comprising a processor and a memory including machine readable instructions processes carpet data. A first part of the smart carpet is scanned at a first frequency and a second part of the smart carpet is scanned at a second frequency greater than the first frequency. Plantar pressures are received from the second part of the carpet and the instructions evaluate the plantar pressures to determine at least one of a physical activity and a physiological activity. Where an emergency condition is determined, an alarm is communicated to monitoring personnel.

Systems and methods for using a smart carpet to monitor a health status of an individual. The smart carpet has electronics and a plurality of pressure sensing areas for sensing plantar pressure of the individual. A monitoring computer comprising a processor and a memory including machine readable instructions processes carpet data. A first part of the smart carpet is scanned at a first frequency and a second part of the smart carpet is scanned at a second frequency greater than the first frequency. Plantar pressures are received from the second part of the carpet and the instructions evaluate the plantar pressures to determine at least one of a physical activity and a physiological activity. Where an emergency condition is determined, an alarm is communicated to monitoring personnel.

A method of monitoring respiration with an acoustic measurement device, the acoustic measurement device having a sound transducer, the sound transducer configured to measure sound associated with airflow through a mammalian trachea, the method includes correlating the measured sound into a measurement of tidal volume and generating at least one from the group consisting of an alert and an alarm if the measured tidal volume falls outside of a predetermined range.

A method of monitoring respiration with an acoustic measurement device, the acoustic measurement device having a sound transducer, the sound transducer configured to measure sound associated with airflow through a mammalian trachea, the method includes correlating the measured sound into a measurement of tidal volume and generating at least one from the group consisting of an alert and an alarm if the measured tidal volume falls outside of a predetermined range.

A sensor strap system according to an embodiment of the present disclosure includes: a sensor capable of detecting physical or physiological activities or conditions of a target subject; a top strap extending along a top surface of a bed, the top strap configured to secure the sensor to the top surface of the bed; and a circumferential strap extending about a circumference of the bed and coupled with the top strap.

A method and apparatus for manipulation of a respiratory model via adjustment of parameters associated with model images is described. A subset of the images that are used with the model that is associated with the position and motion of a targeted region of the patient to receive radiation treatment may be identified. The subset of images may be sorted. A graphical user interface (GUI) that identifies two or more of the images of the sorted subset may be provided. A selection associated with one of the images of the sorted subset may be received by the GUI. Furthermore, a new model to identify the targeted region based on the selection that is associated with one of the two or more images may be generated.

In some aspects, the disclosed technology relates to reducing respiratory-induced motion artifacts for accelerated imaging. In one embodiment, magnetic resonance data may be acquired for an area of a subject containing the heart. The acquired data may include motion-corrupted data due to respiration of the subject. From the acquired data, an image may be independently reconstructed for each of a plurality of time frames, with each time frame corresponding to one of a plurality of heartbeats. A region containing the heart of the subject may be automatically detected in the reconstructed images, and rigid motion registration may be performed on the region of the reconstructed images containing the heart. Based on the rigid motion registration, a linear phase shift for motion correction may be determined. The linear phase shift may be applied to the motion-corrupted data to produce linear phase-shifted data, and a k-t image reconstruction may be performed on the linear phase-shifted data to produce motion-corrected images.

In some aspects, the disclosed technology relates to reducing respiratory-induced motion artifacts for accelerated imaging. In one embodiment, magnetic resonance data may be acquired for an area of a subject containing the heart. The acquired data may include motion-corrupted data due to respiration of the subject. From the acquired data, an image may be independently reconstructed for each of a plurality of time frames, with each time frame corresponding to one of a plurality of heartbeats. A region containing the heart of the subject may be automatically detected in the reconstructed images, and rigid motion registration may be performed on the region of the reconstructed images containing the heart. Based on the rigid motion registration, a linear phase shift for motion correction may be determined. The linear phase shift may be applied to the motion-corrupted data to produce linear phase-shifted data, and a k-t image reconstruction may be performed on the linear phase-shifted data to produce motion-corrected images.

An automatic robotic apparatus for conducting a minimally invasive surgical procedure includes a robotic arm having a movable member made as the multilink active actuator. The end portion of the multilink active actuator is provided with the connector to which the hollow head for a needle biopsy is attached. The operation of the U-shaped head is under full control of the robotic apparatus computer system. Results of pre-procedure studies of a site of interest and the progression of the surgical procedure are displayed on a monitor of the computer system.