Patent classifications
A61B5/02108
Biological information detection device, biological information detection method and non-transitory computer-readable storage medium for biological information detection
A biological information detection device includes: a video capture unit, a blood flow analysis unit, a local pulse wave detection unit, a pulse wave propagation velocity calculation unit, and a blood pressure estimation unit. The video capture unit obtains video information on a face of a living body. The blood flow analysis unit analyzes video data of at least three skin areas in the video information, as blood flow information. The local pulse wave detection unit is provided for each skin area to calculate pulse information based on the blood flow information sequenced chronologically. The pulse wave propagation velocity calculation unit calculates a pulse wave propagation velocity based on a phase difference between pieces of the pulse information at each skin area calculated by the local pulse wave detection unit. The blood pressure estimation unit estimates blood pressure based on the pulse wave propagation velocity.
Quantification of the respiratory effort from hemodynamic measurements
A method for detecting or monitoring respiratory or cardiac health of a patient includes measuring any intravascular or intracardiac pressure (IVP) of a patient over a period of time, said IVP including a measured respiratory wave, defining respiratory effort of the patient as a peak-to-peak amplitude of said respiratory wave, and using the respiratory effort to detect or monitor respiratory and cardiac health of the patient by comparing the respiratory effort with a known value of respiratory effort or by monitoring changes in the respiratory effort of the patient over another period of time.
Health management apparatus, health management method, and health management program
A health management apparatus includes a processor that is configured to activate a sugoroku including squares linking a starting square with a finishing square and direct a piece of a user to be advanced through the squares. The processor is configured to obtain measurement data including biological information of the user and a time of day or location of measurement at which the biological information has been measured. The processor is configured to assess an evaluation value based on whether the time of day or location of measurement satisfies a condition, and determine a number of squares through which the piece is to be advanced in the sugoroku, based on the evaluation value.
Carotid artery blood pressure detecting device
The present invention provides a carotid blood pressure detection device, comprising: a first sensing unit, a second sensing unit, and a controller connected or coupled to the first sensing unit and the second sensing unit. The first sensing unit is disposed on a subject's neck and adjacent to a first position of the subject's carotid arteries. The second sensing unit is disposed on the subject's neck and adjacent to a second position of the subject's carotid arteries. The controller derives a mean arterial pressure of a section of the subject's carotid arteries that lies between the first position and the second position of the subject's carotid arteries from pulse wave data measured and obtained by the first sensing unit and pulse wave data measured and obtained by the second sensing unit.
DEVICE, SYSTEM AND METHOD FOR DETERMINING PULSE PRESSURE VARIATION OF A SUBJECT
The present invention relates to a device, system and method for determining pulse pressure variation of a subject. To enable more reliably determining pulse pressure variation of a subject the device comprises a signal input (11) configured to obtain an input signal representing a hemodynamic signal of the subject, a processor (12) configured to process the input signal and compute a pulse pressure variation and a signal output (13) configured to output the computed pulse pressure variation. The pulse pressure variation is computed by deriving a pulse height signal from the input signal, deriving a pulse height baseline and a de-trended pulse height signal from the pulse height signal as the ratio between the difference between extrema of the de-trended pulse height signal and the respective value of the pulse height baseline signal, and computing the pulse pressure variation from the de-trended pulse height signal and the pulse height baseline.
CARDIOVASCULAR STATE DETERMINATION APPARATUS AND METHOD OF USE THEREOF
The invention comprises a method for estimating state of a cardiovascular system, comprising the steps of: providing a cardiac analyzer, comprising: a blood pressure sensor, the blood pressure sensor generating a time-varying pressure state waveform output from a portion of a person; a system processor connected to the blood pressure sensor; and a dynamic state-space model of a cardiovascular system, the system processor receiving cardiovascular input data, from the blood pressure sensor, related to a transient pressure state of the cardiovascular system, where at least one probabilistic model, of the dynamic state-space model, operating on the time-varying pressure state waveform output generates a probability distribution function to a non-pressure state of the cardiovascular system. The probability distribution function is iteratively updated using synchronized updated time-varying pressure state waveform output from the blood pressure sensor and a non-pressure state output related to a cardiovascular system parameter is generated.
Apparatus and method for measuring bio-signal
An apparatus for measuring a bio-signal includes a pulse wave sensor that may measure a pulse wave signal, of an object of interest, that is non-equidistantly sampled based on a sampling rate of the pulse wave sensor, and a processor that may identify, using a sampling profile, a first interval based on a health index to be measured. The processor may identify, using the sampling profile, a second interval based on the health index to be measured. The processor may set the sampling rate of the pulse wave sensor to a first sampling rate in the first interval. The processor may set the sampling rate of the pulse wave sensor to a second sampling rate, that is less than the first sampling rate, in the second interval.
Systems and methods for low power pulse oximetry
Methods and systems are provided for a light-emitting diode (LED) drive circuit of an optical probe. As an example, a method for an optical probe including an LED in an LED drive circuit comprises reducing power consumption of the LED drive circuit by adjusting a drive voltage of the LED drive circuit based on one or more LED drive circuit characteristics and one or more LED drive circuit operating parameters. In this way, the LED drive circuit may be efficiently operated.
Apparatus and method for measuring bio-information
An apparatus for measuring bio-information may include a pulse wave sensor that may measure a pulse wave signal from an object in contact with a measurement surface. The apparatus may include a force sensor that may measure a contact force between the pulse wave sensor and the object. The apparatus may include a fastener configured to fasten the pulse wave sensor to an electronic device such that the pulse wave sensor is rotatable around a center axis in a length direction of the pulse wave sensor. The apparatus may include a processor that may determine a direction in which a measurement region of the pulse wave signal or the measurement surface of the pulse wave sensor is oriented, select a measurement mode from among a plurality of measurement modes, and estimate bio-information of the object.
CARDIOVASCULAR ANALYTIC SYSTEM AND METHOD
We describe a system for determining relative changes in at least one parameter of cardiovascular function. The system provides an output showing a relative change of the parameters associated with cardiovascular function over a period of time. This relative change is between a time averaged mean of cardiovascular parameters (for each pulse within a series of pulses from an arterial blood pressure waveform data) and a baseline cardiovascular parameter value based on first and second pulses within the blood pressure waveform data. The relative change of the parameters over time is used to project a trend in the parameters associated with cardiovascular function.