Provided is a signal processing device capable of distinguishing and measuring a plurality of measurement targets even with simple configuration. The signal processing device including a reception processing unit that receives a response to a predetermined signal transmitted from a transmission antenna, and a determination unit that determines the plurality of measurement targets by a response to a plurality of signals corresponding to a second direction having a predetermined range different from a first direction having a predetermined range.

An example method may include acquiring images from cameras, each having a known position and orientation with respect to a spatial coordinate system of an augmented reality (AR) device. The acquired images may include portions of a multi-modal marker device that includes at least one tracking sensor having a three-dimensional position that is detectable in a coordinate system of a tracking system. A three-dimensional position is estimated for the portions of the multi-modal marker device with respect to the spatial coordinate system of the AR device based on each of the respective acquired images and the known position and orientation of the cameras with respect to the spatial coordinate system of the AR device. The method also includes computing an affine transform configured to register the coordinate system of the tracking system with a visual space of a display that is in the spatial coordinate system of the AR device.

The wake-up detection device may include a sensor configured to detect a movement of a person and a biosignal of the person; and a controller configured to analyze the movement and the biosignal recognized by the sensor, and determine whether the person wakes up from sleep, on the basis of a result of analyzing the movement and the biosignal. The controller may determine a change in a heart rate of the person when the person converts from a sleep state to a non-sleep state, and when it is determined that the change in the heart rate and the movement of the person increase, the controller may output a first alarm.

A method for monitoring at least one cardiac tissue. The method comprises a) intercepting a plurality of reflections of an electromagnetic (EM) radiation reflected from at least one cardiac tissue of a patient in a plurality of EM radiation sessions, b) computing a mechanical tracing indicative of at least one mechanical property of said at least one cardiac tissue according to said plurality of reflections, c) analyzing said mechanical tracing so as to detect a presence or an absence of a physiological condition, and d) outputting said analysis.

A method for monitoring at least one cardiac tissue. The method comprises a) intercepting a plurality of reflections of an electromagnetic (EM) radiation reflected from at least one cardiac tissue of a patient in a plurality of EM radiation sessions, b) computing a mechanical tracing indicative of at least one mechanical property of said at least one cardiac tissue according to said plurality of reflections, c) analyzing said mechanical tracing so as to detect a presence or an absence of a physiological condition, and d) outputting said analysis.

Provided herein is a catheter assembly including an imaging device for identifying an anatomical structure. The catheter assembly includes a patient cannula configured to be drawn along a catheter or guide wire; a transseptal puncture catheter at least partially enclosed within the patient cannula; and an imaging catheter. The imaging catheter includes a transducer configured to emit an energy beam capable of reflecting from an anatomical structure and to detect energy reflected from the structure. The catheter assembly also includes a transmitter for conveying a signal representative of the detected energy from the transducer to a signal processor for obtaining information about the structure. An imagining system and a method for identifying a predetermined transseptal puncture location on an atrial septum are also provided herein.

Provided herein is a catheter assembly including an imaging device for identifying an anatomical structure. The catheter assembly includes a patient cannula configured to be drawn along a catheter or guide wire; a transseptal puncture catheter at least partially enclosed within the patient cannula; and an imaging catheter. The imaging catheter includes a transducer configured to emit an energy beam capable of reflecting from an anatomical structure and to detect energy reflected from the structure. The catheter assembly also includes a transmitter for conveying a signal representative of the detected energy from the transducer to a signal processor for obtaining information about the structure. An imagining system and a method for identifying a predetermined transseptal puncture location on an atrial septum are also provided herein.

Disclosed are a method and a device for measuring a biometric signal by using a radar. The disclosed method measures a plurality of biometric signals by using a radar by: (a) receiving the plurality of biometric signals from the radar; (b) calculating distance information of the received plurality of biometric signals and classifying the same on the basis of a distance; (c) selecting a signal having a largest variance according to a time; (d) further selecting a number of signals among signals having a distance with the signal selected in the step (c) smaller than an arbitrary distance from the distance-based classified signals; (e) converting all signals selected from a time domain to a frequency domain; (f) calculating a reliability of each biometric signal from the converted distance-based signals; and (g) detecting a corresponding biometric signal by selecting the distance-based signal where the calculated reliability is highest.

Disclosed are a method and a device for measuring a biometric signal by using a radar. The disclosed method measures a plurality of biometric signals by using a radar by: (a) receiving the plurality of biometric signals from the radar; (b) calculating distance information of the received plurality of biometric signals and classifying the same on the basis of a distance; (c) selecting a signal having a largest variance according to a time; (d) further selecting a number of signals among signals having a distance with the signal selected in the step (c) smaller than an arbitrary distance from the distance-based classified signals; (e) converting all signals selected from a time domain to a frequency domain; (f) calculating a reliability of each biometric signal from the converted distance-based signals; and (g) detecting a corresponding biometric signal by selecting the distance-based signal where the calculated reliability is highest.

A subject's Default Mode Network is accessed through corresponding measurements of the Micro-Coherence Oximetry Network Strength (MCO-S). An associated MCO-S system (100) includes a wearable (102), a user device (112) and a processing platform (123). The wearable (102) collects subject information sufficient to enable monitoring and optimization of the subject's Default Mode Network include sensors such as pulse oximetry instrumentation and EEG electrodes to obtain brainwave data, oxygen saturation data, heart rate variability data, and galvanic skin conductance data. Information from the sensors may be communicated to a user device (112), such as a cell phone or VR headset. The user device (112) communicates with a remote processing platform (123) that may execute artificial intelligence functionality and other logic in connection with assessing the patient's micro-coherence network strength and optimizing behavior modification protocols in relation to attributes and objectives of the subject.