The disclosed embodiments relate to a system that performs ultra-fast tracer imaging on a subject using positron emission tomography. During operation, the system performs a high-temporal-resolution, total-body dynamic PET scan on the subject as an intravenously injected radioactive tracer propagates through the vascular system of the subject to produce PET projection data. Next, the system applies an image reconstruction technique to the PET projection data to produce subsecond temporal frames, which illustrate the dynamic propagation of the radioactive tracer through the vascular system of the subject. Finally, the system outputs the temporal frames through a display device.

The disclosed embodiments relate to a system that performs ultra-fast tracer imaging on a subject using positron emission tomography. During operation, the system performs a high-temporal-resolution, total-body dynamic PET scan on the subject as an intravenously injected radioactive tracer propagates through the vascular system of the subject to produce PET projection data. Next, the system applies an image reconstruction technique to the PET projection data to produce subsecond temporal frames, which illustrate the dynamic propagation of the radioactive tracer through the vascular system of the subject. Finally, the system outputs the temporal frames through a display device.

The present invention relates to an integrated sleep diagnosis and treatment device, and more particularly to an integrated apnea diagnosis and treatment device. The present invention additionally relates to methods of sleep diagnosis and treatment. The sleep disorder treatment system of the present invention can use a diagnosis device to perform various forms of analysis to determine or diagnose a subject's sleeping disorder or symptoms of a subject's sleep disorder, and using this analysis or diagnosis can with or in some embodiments without human intervention treat the subject either physically or chemically to improve the sleeping disorder or the symptoms of the sleeping disorder. The diagnostic part of the system can use many different types of sensors and methods for diagnosing the severity of the symptoms of or the sleep disorder itself. The treatment part of the system can use a device to physically or chemically treat the subject's symptoms or sleep disorder itself.

A system for monitoring animate presence, including one or more ultrasonic transducers configured to transmit an ultrasonic signal, one or more ultrasonic receivers configured to receive an echo signal in response to the transmitted ultrasonic signal, an electronic circuit for comparing the transmitted signal to the received echo signal and identify a phase shift between the signals; wherein the electronic circuit identifies animate presence based on the identified phase shift.

The present invention relates to a device and method for determining vital sign information of a subject (2). The proposed device comprises an input unit (11) for receiving image data of the subject, said image data including a sequence of images over time, an ROI selection unit (12) for selecting an initial region of interest, ROI, within an image, a feature selection unit (13) for selecting one or more spatial features of a body part within the initial ROI, a motion signal extraction unit (14) for extracting from said image data within the initial ROI the direction and/or amplitude of motion of a subject's body part related to a desired vital sign of the subject, a detection unit (15) for detecting one or more spatial features of said selected spatial features, whose motion is not related to the desired vital sign of the subject, a tracking unit (16) for tracking the initial ROI based on changes of the position of said one or more detected spatial features within the initial ROI, to obtain a final ROI, and a vital signs extraction unit (17) for extracting the desired vital sign from the final ROI.

The present invention relates to a device and method for determining vital sign information of a subject (2). The proposed device comprises an input unit (11) for receiving image data of the subject, said image data including a sequence of images over time, an ROI selection unit (12) for selecting an initial region of interest, ROI, within an image, a feature selection unit (13) for selecting one or more spatial features of a body part within the initial ROI, a motion signal extraction unit (14) for extracting from said image data within the initial ROI the direction and/or amplitude of motion of a subject's body part related to a desired vital sign of the subject, a detection unit (15) for detecting one or more spatial features of said selected spatial features, whose motion is not related to the desired vital sign of the subject, a tracking unit (16) for tracking the initial ROI based on changes of the position of said one or more detected spatial features within the initial ROI, to obtain a final ROI, and a vital signs extraction unit (17) for extracting the desired vital sign from the final ROI.

A method, apparatus, computer program, system and device for measuring oscillatory motion comprising: receiving a plurality of signals related to a plurality of measurements of a direction of a vector parameter (a.sub.t-1, a.sub.t); determining a predominant measured direction of the vector parameter (ā.sub.t) based on the plurality of measurements of the direction of the vector parameter; determining an angle of rotation (φ.sub.t) between: a measured direction of the vector parameter (a.sub.t) of one of the plurality of measurements of the direction of the vector parameter, and the predominant measured direction of the vector parameter (ā.sub.t).

A method, apparatus, computer program, system and device for measuring oscillatory motion comprising: receiving a plurality of signals related to a plurality of measurements of a direction of a vector parameter (a.sub.t-1, a.sub.t); determining a predominant measured direction of the vector parameter (ā.sub.t) based on the plurality of measurements of the direction of the vector parameter; determining an angle of rotation (φ.sub.t) between: a measured direction of the vector parameter (a.sub.t) of one of the plurality of measurements of the direction of the vector parameter, and the predominant measured direction of the vector parameter (ā.sub.t).

Circuits for rendering piezo-based respiratory belts compatible with polysomnograph (PSG) machines designed for use with respiratory induction belts (RIPs) comprise an instrumentation amplifier adapted to be connected to a piezoelectric transducer and providing an AC output signal to a low-pass filter. In a first embodiment, the low-pass filter output is applied to an input of a microcontroller's A to D converter and the resulting digitized samples are used to vary the resistance of a digital potentiometer whose wiper terminal is coupled in series with an inductor so as to emulate the presence of a RIP belt to the PSG machine. In a second embodiment, the low-pass filter output is used to drive the primary of a transformer so as to vary the permeability of the transformer's ferrite core in a way that emulates the performance of a RIP belt to the PSG.

A contactless breathing detection method is for detecting a breathing rate of a subject. The contactless breathing detection method includes a photographing step, a capturing step, a calculating step, and a converting step. The photographing step is performed to provide a camera to photograph the subject to generate a facial image. The capturing step is performed to provide a processor module to capture the facial image to generate a plurality of feature points. The calculating step is performed to drive the processor module to calculate the feature points according to an optical flow algorithm to generate a plurality of breathing signals. The converting step is performed to drive the processor module to convert the breathing signals to generate a plurality of power spectrums, respectively. The processor module generates an index value by calculating the power spectrums, and the breathing rate is extrapolated from the index value.