Example embodiments include devices and systems that detect apnea events of a user. The device includes a first sensor configured beside the head of the user for capturing snoring sounds of the user, a second sensor configured on one finger of the user for capturing cardiovascular parameters of the user, a third sensor configured under the trunk of the user for capturing e breathing movements of the user, a data recorder that is connected with the first sensor, the second sensor and the third sensor for receiving recordings therefrom, and a clock for synchronizing the recordings in real time. The recordings include one or more breathing events including snoring events, heart rate and SPO.sub.2 conjunction spikes, and breathing movement cessations. The time periods that apnea events are impossible can be excluded according to a combination of the breathing events, and the apnea events can be detected thereafter.

The present invention relates to the field of medical imaging in the absence of contrast agents. In one form, the invention relates to the field of imaging vessels, particularly blood vessels such as the pulmonary vasculature and is suitable for use as a technique for detecting pulmonary embolism (PE), such as acute PE. Embodiments of the present invention provide improved image processing techniques having the capability to extract and use image data to overcome the need for contrast agents to distinguish between different types of tissue. Furthermore, it has also been realised that the image data accessed by the improved image processing can be used to identify irregularities in vessels.

A fiber-optic sensor matt detects movements of a person on the matt that cause microbending of a fiber-optic cable that is arranged into a symmetric pair of radial ring groups within the matt. There are no cross-over points or overlapping of the fiber-optic cable within the symmetric pair of radial ring groups that could cause fiber wear and noisy readings. Microbending of the fiber-optic cable pressed into a mesh modulates the light intensity received, which is analyzed to extract both respiration and heart BallistoCardioGram (BCG) waveforms by convolution with Daubechies dB5 wavelet and scaling functions. The reconstructed level-4 detail waveform is output as the extracted BCG, while the reconstructed level-6 approximation waveform is output as the extracted respiration waveform. Respiration and heart rates and variations can be generated from the extracted waveforms. An integrated Fast Wavelet Transform (FWT) using dB5 wavelet thus generates both respiration rate and heart rate.

A fiber-optic sensor matt detects movements of a person on the matt that cause microbending of a fiber-optic cable that is arranged into a symmetric pair of radial ring groups within the matt. There are no cross-over points or overlapping of the fiber-optic cable within the symmetric pair of radial ring groups that could cause fiber wear and noisy readings. Microbending of the fiber-optic cable pressed into a mesh modulates the light intensity received, which is analyzed to extract both respiration and heart BallistoCardioGram (BCG) waveforms by convolution with Daubechies dB5 wavelet and scaling functions. The reconstructed level-4 detail waveform is output as the extracted BCG, while the reconstructed level-6 approximation waveform is output as the extracted respiration waveform. Respiration and heart rates and variations can be generated from the extracted waveforms. An integrated Fast Wavelet Transform (FWT) using dB5 wavelet thus generates both respiration rate and heart rate.

A sensor device for EIT imaging comprises an electrode array for measuring an impedance distribution, with at least one sensor for determining spatial orientation of the electrode array coupled to the electrode array. EIT imaging instrument is connectable to a sensor for determining spatial orientation of a test person, and optionally in addition connectable to a sensor for gathering information on electrical and/or acoustic activity and/or a sensor for gathering information on dilation. A computing device is connected or integrated for adjusting impedance data based on spatial data, which spatial data describe the spatial orientation of a test subject. An EIT imaging method for measuring an impedance distribution and adjusting said measured impedance distribution comprises measuring impedance distribution by using an impedance distribution measuring device comprising an electrode array, and transforming the measured impedance distribution into EIT images.

An observation unit (OU) and auxiliary observation unit (AOU) sensor are calibrated in relation to an ambient environment. The OU sensor and the AOU sensor are calibrated in relation to an observational subject. Monitoring parameters are established for the calibrated sensors using a receiving unit (RU). Monitoring types are activated using the RU. Data is gathered from the OU sensor and the AOU sensor. A determination is made that the gathered data exceeds the established monitoring parameters. One or more alerts are generated based on the determination.

Presented are concepts for monitoring cardio-respiratory function of a patient. One such concept comprises detecting light or sound from the sublingual vasculature using a sublingual sensor unit adapted to be positioned at a sublingual vasculature of the patient's tongue and to generate a sensor output signal based on the detected light or sound. A processing unit adapted to receive at least one of the sensor unit output signal, wherein the sensor unit and the processing unit are arranged to analyze the venous component in the sensor output signal. An output signal from the sublingual sensor may then be used to provide information on cardio-respiratory parameters like respiration rate and respiration rate variability, for example.

Presented are concepts for monitoring cardio-respiratory function of a patient. One such concept comprises detecting light or sound from the sublingual vasculature using a sublingual sensor unit adapted to be positioned at a sublingual vasculature of the patient's tongue and to generate a sensor output signal based on the detected light or sound. A processing unit adapted to receive at least one of the sensor unit output signal, wherein the sensor unit and the processing unit are arranged to analyze the venous component in the sensor output signal. An output signal from the sublingual sensor may then be used to provide information on cardio-respiratory parameters like respiration rate and respiration rate variability, for example.

Images that are associated with an identification of a tracking target of a patient to receive radiation treatment may be received. The images may be sorted into a sequence based on a motion of the patient. The sorted images may be provided via a graphical user interface. The sequence of the sorted images that are based on the motion of the patient may be provided.

A system, method and apparatus is disclosed, comprising a biomathetical model for optimizing cognitive performance in the face of sleep deprivation that integrates novel and nonobvious biomathematical models for quantifying performance impairment for both chronic sleep restriction and total sleep deprivation; the dose-dependent effects of caffeine on human vigilance; and the pheonotypical response of a particular user to caffeine dosing, chronic sleep restriction and total sleep deprivation in user-friendly software application which itself may be part of a networked system.