The present invention relates to a respiratory gating system for a patient using a natural breathing method during radiation therapy, and a method for emitting radiation thereby. A respiratory gating system allowing radiation to be emitted by orienting to the position, which varies according to a patient's breathing, of a subject on which treatment is to be carried out, comprises: a breathing respirator for allowing the patient's respiration amount to be measured; external markers to be respectively adhered to triangulation points outside the human body of the surrounding region of the subject, of the patient, on which treatment is to be carried out; an image diagnosis device for imaging the region of the subject of the patient on which treatment is to be carried out, by photographing the same; and a computer program programmed so as to calculate, as position coordinates, the change in position of the subject on which treatment is to be carried out, according to the respiration amount measured by the computed tomography equipment and the each external marker, through a triangulation method and dual polynomial equations, and to transmit the position coordinates, which changes in real time, to radiation therapy equipment, wherein radiation is emitted by the respiratory gating system, and there is an effect of further increasing the accuracy and stability of the entire radiation therapy result by tracking, in real time, the movement of an organ, which is the subject on which treatment is to be carried out according to breathing, through a respiratory gating system which uses natural breathing rather than a breathing method through the training of the patient.

A method of confirming the location of a target tissue within a patient using a navigation system is provided. The navigation system displays images from a pre-acquired image dataset and provides location information of a medical device within a patient in relation to a patient tracking device affixed to the patient. The method includes determining an initial location of the target tissue, navigating a steerable catheter through the airway of the patient to a position proximate the initial location, tracking the location of the steerable catheter in the airway using the navigation system, generating information regarding the presence of the target tissue using a tissue sensing device inserted into the steerable catheter, and determining a confirmed location of the target tissue in relation to the patient tracking device using the generated information regarding the presence of the target tissue and the tracked location of the steerable catheter.

Methods and systems for non-contact monitoring of a patient to determine respiratory parameters such as respiration rate, tidal volume, minute volume, oxygen saturation, and other parameters such as motion or activity. The systems and methods receive a first, video signal from the patient and from that extract a distance or depth signal from the relevant area to calculate the parameter(s) from the depth signal. The systems and methods also receive a second, light intensity signal from an IR feature projected onto the patient, and from that calculate the parameter(s) from the light intensity signal. The parameter(s) from the two signals can be combined or compared to provide a qualified output parameter.

This disclosure relates generally to bio-signal detection, and more particularly to method and system for non-contact bio-signal detection using ultrasound signals. In an embodiment, the method includes acquiring an in-phase I(t) baseband signal and a quadrature Q(t) baseband signal associated with an ultrasound signal directed from the sensor assembly towards the target. Magnitude and phase signals are calculated from the in-phase and quadrature baseband signals, and are filtered by passing through a band pass filter associated with a predefined frequency range to obtain filtered magnitude and phase signals. Fast Fourier Transformation (FFT) of the filtered magnitude and phase signals is performed to identify frequency of dominant peaks of spectrum of the magnitude and phase signals in the ultrasound signal. Value of the bio-signal associated with the target is determined based on weighted values of the frequency of the dominant peaks of the magnitude and phase signals.

A medical imaging method for detecting a movement and a magnetic resonance imaging system, wherein the method includes: receiving, through a plurality of channels, a plurality of original first time domain signals recording a movement of an object under examination; transforming, based on a plurality of respiratory frequency components as bases, the plurality of first time domain signals into a vector matrix including representations of phases; computing an eigenvector based on the vector matrix; transforming the first time domain signals into second time domain signals based on the eigenvector, and removing a maximum energy term related to a respiratory movement from the second time domain signals; and determining whether a portion of a non-respiratory body movement is detected, and determining to execute a sequence based on only a first time domain signal in which a portion of a non-respiratory body movement is not detected.

Novel systems and methods use extracted features from audio signals of patient breathing sounds taken during periods of full wakefulness in order to classify patients as either having, or not having, obstructive sleep apnea using a Random Forest machine learning algorithm. In some embodiments, the features are preprocessed then modeled. The models with a high correlation to the response and low overlap percentages are selected for use in the Random Forest classification process.

An apparatus for detecting object features can include: a probe signal transmitter configured to load a digital intermediate frequency signal onto a carrier signal, and to transmit a loaded signal outwards; an echo signal receiver configured to receive an echo signal, and to extract an object feature signal by performing respective down conversions on a quadrature signal of the carrier signal and a quadrature signal of the digital intermediate frequency signal; and a signal processor configured to identify object features according to the object feature signal.

An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. A mirror element is attached to at least partially cover the display module. At least one movable arm is connected to the support system and at least one force-controlled component is connected to the mechanical support system. The force-controlled component can be graspable by a user and allows for a range of exercise types and programs.

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.

A physiological state screening system may include a temperature sensor, a blood oxygen saturation sensor, a cardiorespiratory sensor unit, a communication circuitry, and one or more controllers. The one or more controllers may include one or more processors communicatively coupled to the temperature sensor and the cardiorespiratory sensor unit. The one or more processors may be configured to execute a set of program instructions maintained in one or more memory units, where the set of program instructions is configured to cause the one or more processors to receive one or more signals, determine one or more physiological states of a subject, determine one or more physiological interventions, and transmit one or more signals instructive of the one or more physiological interventions.