Abstract: A method for detecting an artifact of a blood pressure signal includes measuring consecutive signals of blood pressure in real time, dividing the consecutive signals into a plurality of unit waveforms by searching systolic starting points and peak points from the measured signals, determining two outputs by applying N consecutive unit waveforms among the plurality of unit waveforms as an input to a deep belief network (DBN), and determining whether the signal is an artifact or a normal signal by using the two determined outputs. According to the present disclosure, it is possible to minimize various false alarms of bio-signal streams which are measured in real time by automatically eliminating ABP artifacts using a deep belief network (DBN) which is one of deep neural network (DNN) models capable of learning causes and shapes of various types of artifacts together.

Abstract: Indirect, oscillometric, digital blood pressure monitoring systems and methods enabling self-calibration to obtain absolute blood pressure values using algorithmic analysis of arterial pressure pulses to establish an oscillometric profile and compensate for intervening effects on digital arterial pressure. Proper algorithmic analysis is dependent upon proper positioning and maintained engagement of a digital cuff on the digit of a user and subsequent hydraulic coupling of the cuff to the arteries within the digit.

Abstract: A monitoring method is performed by a digital processor while a subject is asleep or with little movement. The method includes receiving transducer signals for a subject and training a model for characteristics of a subject or subject group. The model is used in generating sleep data according to real-time correspondence and values of transducer signals including subject rib displacement, subject abdomen displacement, subject torso movement, and subject orientation. Combinations of the transducer inputs are used to determine features from which outputs such as an AHI score are determined. A feature matrix is normalized based on dynamically-generated positional epochs bordered by subject movements to new positions and used to provide a normalization matrix.

Abstract: An information processing device includes: a processor configured to: acquire time series data relating to at least one of acceleration, amounts of activity of a subject whose sleep is to be evaluated, and body positions of the subject, the time series data being measured by a sensor device that the subject wears; obtain a result of evaluation by analyzing a state of the subject that relates to sleep in each of three sections which are obtained by dividing an evaluation period from a getting-into-bed time point or a first onset-of-sleep time point after getting into bed that is specified by the time-series data until a getting-out-of-bed time point or a last waking time point before getting out of bed; and output the result of evaluation so as to identify that the result corresponds to any one of the three sections.

Abstract: There is provided a biological information monitoring system for monitoring a biological information on a subject on a bed. The system includes a plurality of load detectors which are to be placed in the bed or under legs of the bed, and which are configured to detect a load of the subject; a load separation unit configured to separate a load component which oscillates according to a heartbeat of the subject, from the load of the subject; and a center of gravity position calculation unit configured to obtain a position of a center of gravity of the subject based on the load component which oscillates according to the heartbeat of the subject.

Abstract: A method includes: acquiring body motion data related to body motions of a target person; generating, based on the body motion data, sleep state data related to a sleep state of the target person; storing the sleep state data into a sleep state database; predicting a future change in a physical condition of the target person from the sleep state data by referencing a physical condition prediction information database; and when the physical condition data indicating the physical condition of the target person is acquired, reading past sleep state data over a past period from the sleep state database, collating the physical condition data with the past sleep state data to generate physical condition prediction information for predicting a particular change in the physical condition from particular sleep state data, and registering the physical condition prediction information into the physical condition prediction information database.

Abstract: An apparatus for motion transformation according to an embodiment of the present disclosure includes a basic data input unit through which basic motion data is inputted, a pre-processing unit which acquires a parameter through pre-processing of the inputted basic motion data, a motion transformation unit which performs biomechanical observations-based gait motion transformation processing based on the pre-processed parameter and age input information, and an output unit which outputs the transformation processed motion.

Abstract: A needle system includes a handle, a needle slider partially positioned in the handle, and a needle connected to and extending away from the needle slider. A restrictor is disposed in the needle. The restrictor is configured to inhibit passage of a sample through the needle slider.

Abstract: A device for determining physiological data through analysis of human excrement in a toilet using at least one indicator and/or sensor, and a method for determining physiological data by analysis of human excrement in a toilet by measurement of urine and/or stool values, in order to achieve maximally universal use of the device, including in a wide variety of toilet designs, with reasonable design effort and manageable costs. A measurement system, in which an indicator or sensor can be brought into a measurement position, in which sufficient contact with the urine or stool to be examined occurs via an arm for each measurement, wherein the indicator or sensor is/are designed as (an) independent unit(s), and by a corresponding method in which a plurality of previously determined values are measured and then processed further and forwarded as applicable.

Abstract: A needle system a handle and a needle slider partially positioned in the handle. The needle slider has an aspiration port at a proximal end of the needle slider. A needle connected to and extending away from the needle slider. A restrictor is disposed in the aspiration port of the needle slider. The restrictor is configured to inhibit passage of a sample through the aspiration port.

Abstract: A knee joint dynamic evaluation method for diagnosing human joint diseases by tracking motions of the knee joint includes constructing an evaluation model including a first angular difference threshold ?1, a second angular difference threshold ?2, and an anterior-posterior displacement difference threshold ?; synchronously collecting a single set of three-dimensional and six-degree-of-freedom movement data of a left knee joint and that of a right knee joint with devices; comparing the three-dimensional and six-degree-of-freedom movement data between the left and right knee joints with a data analyzing device, and calculating differences of the flexion and extension angles, the medial and lateral tilt angles, the medial and lateral rotation angles, and the anterior-posterior displacement movement values of the two sets of movement data; inputting the differences into the evaluation model to obtain the corresponding grading system, which will output the first, second, third, or fourth evaluation level.

Abstract: Embodiments are directed to methods and systems for adaptive heart rate monitoring. In one scenario, a method for adaptive heart rate monitoring includes receiving, from a pulse-oximeter, a sensor signal, where the sensor signal is photoplethysmogram waveform. The method next includes generating a frequency-domain photoplethysmogram waveform by applying a transform algorithm to the sensor signal, and dividing the resulting frequency-domain photoplethysmogram waveform into discrete frequency regions. The method further includes identifying a fundamental heart rate harmonic within one of the discrete frequency regions by analyzing each discrete frequency region according to a specified analytic algorithm, and triggering a user interface to display a biometric measurement corresponding to the identification of the fundamental heart rate harmonic.

Abstract: Techniques are provided for assessing a risk of fall based on tracking data of a subject tracking a moving target. Tracking data of a first subject to the moving target is determined based on sensing a body of the first subject that measure a position of one or more body segments at time increments over a time period. A response of the first subject is characterized based on the tracking data of the first subject. Tracking data of a second subject to the moving target is determined based on sensing a body of the second subject that measure a position of one or more body segments at each time increment over the time period. A risk of fall of the second subject is determined based on the response of the first subject and the response of the second subject.

Abstract: This invention relates to methods and systems for determining network connections. It is particularly, but not exclusively, related to methods and systems for determining network connections in sparse networks, and has particular application to EEG data. An aspect of the invention provides a method for identifying, in a network of interacting nodes simultaneously producing signals, connections between said nodes and of estimating connection coefficients between nodes identified as connected which includes the steps of setting to zero connection coefficients where the calculated coherence or partial coherence is below a first predetermined threshold and subsequently setting to zero connection coefficients where the estimated connection coefficients are below a second predetermined threshold, and then re-estimating the connection coefficients for the combinations of nodes for which the connection coefficients have not already been set to zero.

Abstract: A pulsebeat measurement apparatus includes a first temperature detector configured to detect a temperature of a human body; a second temperature detector, having the same characteristic as that of the first temperature detector, configured to detect a temperature of the human body; a heat accumulator, contacting the second temperature detector, configured to suppress a change in temperature of the second temperature detector; a specifying unit configured to specify a period of a change in temperature caused by a pulsation of the human body based on a difference between the temperature of the human body detected by the first temperature detector and the temperature of the human body detected by the second temperature detector; and a pulsebeat measurement unit configured to measure a pulsebeat based on the specified period of the change in temperature.

Abstract: A method and system for blood pressure (BP) estimation of a person is provided. The system is estimating pulse transit time (PTT) using the ECG signal and PPG signal of the person. A plurality of features are extracted from the PPG. The plurality of PPG features and the PTT are provided as inputs to an automated feature selection algorithm. This algorithm selects a set of features suitable for BP estimation. The selected features are fed to a classifier to classify the database into low/normal BP range and a high BP range. The correctly classified normal BP data are then used to create a regression model to predict BP from the selected features. The current methodology uses automated feature selection mechanism and also employs a block to reject extreme BP data. Thus the available accuracy in predicting BP is expected to be more than the existing BP estimation methods.

Abstract: There is provided a pulsebeat measurement apparatus. The pulsebeat measurement apparatus includes a first temperature detector configured to detect a temperature of a human body, a specifying unit configured to specify a period of a temperature change caused by a pulsation of the human body based on the detected temperature, a pulsebeat measurement unit configured to measure a pulsebeat of the human body based on the specified period of the temperature change, and a heat absorber configured to absorb heat of the first temperature detector.

Abstract: A medical instrument having an aspiration needle, handle device and an actuation force limiter. The actuation force limiter provides an active or passive force release mechanism that keeps the force from overpowering operation of the needle.

Abstract: Methods of monitoring arterial blood using an arterial line tube positions adjacent to a groin sheath, as part of a surgical intervention. Described herein are methods and apparatuses (e.g., systems) for introduction of an arterial line tube for contemporaneous and sensitive blood pressure monitoring along with other instrumentation in the course of a therapeutic intervention through a femoral artery, affording improved monitoring results.

Abstract: The present invention limits measurement error and sensor element damage. When a contact-type sensor (200) is placed in contact with skin (10), a gap (200a) is formed between the skin (10) and a sensor element (214). The contact-type sensor (200) is provided with a water-repellent resin base plate (212) and a water-absorbing sheet (211) that, together with the skin (10) and the sensor element (214), surround the gap (200a).