A method is provided that includes determining a quality of a data portion of an input sensor data stream based, at least in part, on data of a first data type and determining between, at least, generation of two or more streams of a second, different data type including at least one synthesised data stream of the second data type. Determining between generation of two or more streams of a second, different data type is based, at least in part, on the determined quality. The synthesis is based, at least in part, on the data of the first data type. The method further includes causing generation of at least one stream of the second, different data type based, at least in part, on the determination between generation of two or more streams of the second, different data type.

A sleeve or sheath includes a body having a top opening. The body covers a handheld oximeter probe or a portion of the probe. The sleeve has a shape that approximately matches the oximeter probe or portion of the probe, which is covered by the sleeve. The sleeve has a top opening that allows a user to slide the oximeter probe into the sleeve. The sleeve is transparent to radiation emitted and collected by the oximeter probe. The sleeve is formed of a material that prevents patient tissue, fluid, viruses, bacteria, and fungus from contacting the covered portions of the oximeter probe. The sleeve leaves the probe relatively sterile after use so that little or no clearing of the probe is required for a subsequent use, such as when the probe is covered with a new, unused sleeve.

Systems, methods, apparatuses, and computer program products for contact-free heart rate monitoring and/or measurement are provided. One method may include receiving video(s) that include visual frame(s) of individual s) performing exercises, detecting some exposed skin from the video(s), and performing motion compensation to generate color signals for the exposed skin to precisely align frames of the exposed skin. The method may also include generating the color signals by estimating a skin color for each frame by taking a spatial average over pixels of a cheek of the face(s) for R, G, and B channels, respectively, applying an operation to remove remaining motion traces from the frames such that the heart rate traces dominate, and extracting and/or outputting the heart rate of the individuals using a frequency estimator of the skin color signals.

Systems and methods for determining lung impedance of a subject by acquiring multiple impedance measurements from different areas of a thorax of the subject, using multiple electrical circuits, each electrical circuit comprising a pair of electrodes attached at different locations over the thorax of the subject. The acquisition of impedance measurements of all of the electrical circuits is done at the same timing-position(s) over the subject's breathing cycle. The acquired impedance measurements may be used to determine at least one physical characteristic associated with the respective subject. The electrical circuits may be powered by several generators outputting AC power at same or different frequencies. According to some embodiments, one of the electrical circuits, powered by one of the generators, may be continuously operated when measuring is done to be used as a timer.

A method for risk assessment of neurological disorder and an electronic device using the same method are provided. The method for risk assessment includes the following. A blood flow signal is obtained. Signal decomposition is performed on the blood flow signal to generate a first signal and a second signal. The first signal is de-modulated to generate a modulation signal. A correlation signal is generated according to the modulation signal and the second signal. A statistical parameter is generated according to the correlation signal. Whether to output a warning message is determined according to the statistical parameter.

A method and system for monitoring oxygen saturation of a patient are provided. An example system includes a wearable device having a first optical sensor to measure a first red wavelength photoplethysmography (PPG) signal and a first infrared wavelength PPG signal and a second optical sensor to measure a second red wavelength PPG signal and a second infrared wavelength PPG signal. The system further includes a processor configured to determine that conditions for calibration of the first optical sensor are satisfied, determine a first ratio for obtaining the oxygen saturation, a first parameter for modifying the first red wavelength PPG signal, a second parameter for modifying the first infrared wavelength PPG signal, and a second ratio for obtaining the oxygen saturation. The processor is further configured to determine a value of the oxygen saturation and provide a message regarding a health status of the patient.

A physiological information measurement apparatus includes a measuring section that acquires a physiological signal from a living body of a subject, a signal processor that produces a plurality of physiological signal waveforms based on the physiological signal acquired from the measuring section, and that identifies an arithmetic average waveform that is obtained by arithmetic averaging of the plurality of physiological signal waveforms, and information relating to arithmetic average dispersion, and a display that displays at least the information relating to the arithmetic average dispersion.

A system for automatically assessing orthostatic hypotension for a patient supported on a patient support apparatus. The system receives position data identifying a first position of a patient supported on a patient support apparatus, and after a delay, receives vital signs data of the patient. The system receives position data identifying a second position of the patient supported on the patient support apparatus, and after a delay, receives vital signs data of the patient. The system determines an orthostatic hypotension assessment based on a difference in the vital signs data between the first and second positions. Based on the orthostatic hypotension assessment, the system modifies one or more conditions on the patient support apparatus to mitigate a risk for patient fall.

The abnormal data processing system is provided with: a storage unit for holding a multiple-subject DB in which data on multiple subjects are accumulated and individual-subject DB in which data on individual subjects are accumulated; an individual-subject DB divergence-degree calculation unit for calculating an individual-subject DB divergence degree which is the degree of divergence of the new data from the individual-subject DB; a multiple-subject DB divergence degree calculation unit for calculating a multiple-subject DB divergence degree which is the degree of divergence of the new data from the multiple-subject DB; and a composite divergence degree calculation unit for determining a composite divergence by compositing the individual-subject DB divergence degree and the multiple-subject DB divergence degree using the number of data instances in the individual-subject DB. The abnormal data processing system determines whether or not the new data is abnormal on the basis of the composite divergence degree.

A method and system for determining a respiratory rate of a user using an electrocardiogram (ECG) segment of the user are disclosed. The method comprises decomposing the ECG segment into a plurality of functions and evaluating the plurality of functions to choose one of the plurality of functions based on a respiratory band power. The method includes determining the respiratory rate using the one of the plurality of functions and a domain detection.