A system and a method for predicting kinesthetic outcomes from observed position, posture, behavior or activity of an individual 1602, 1702. The system uses kinesthetic activity sensors 102, 104 each collecting one or more of audio, video, or physiological signals and capturing the activity of the individual or an ambient environment of the individual. These signals are delivered into a computer system 106 implementing a learning routine 108 which constructs one or more personalized kinetic state models 1510 of positional states for the individual and transitions between the positional states, and further develops one or more customized multi-dimensional prediction models 1500 for the individual and uses the multidimensional prediction models to predict behaviors, activities and/or positional changes likely to occur in the future, and provides notice of predicted unsafe or undesired outcomes.

A method for medical diagnosis includes recording voice signals due to sounds spoken by a patient and recording acoustic signals output, simultaneously with the voice signals, by an acoustic transducer in contact with a thorax of the patient. A transfer function is computed between the recorded voice signals and the recorded acoustic signals or between the recorded acoustic signals and the recorded voice signals. The computed transfer function is evaluated in order to assess a medical condition of the patient.

A wearable electronic device includes a light sensor configured to sense environmental light, a timer that provides time indicators, a motion sensing unit that senses motion and outputs motion data according thereto, and a data storage that receives and stores the motion data or other data derived therefrom in association with the time indicators. After sensing environmental light with the light sensor, the timer begins providing the time indicators and the motion sensing unit begins sensing the motion.

A robotic surgical intervention device includes an articulated arm, with actuating motors, a distal end of which is intended to carry a surgical instrument, a control peripheral of the articulated arm for moving a functional end of the surgical instrument along a path, and a processor for processing movement instructions provided by the control peripheral to convert them into instructions for controlling the actuating motors of the articulated arm. It further includes a trigger for automatic reversal of the articulated arm, the actuation of which causes individual reverse control instructions to be sent to each of the actuating motors of the articulated arm for a reverse movement of the functional end of the surgical instrument along the completed path.

In part, the disclosure relates to computer-based methods, devices, and systems suitable for performing intravascular data analysis and measurement of various types of data such as pressure and flow data. The disclosure relates to probes and methods suitable for determining an event in a cardiac cycle such as flow threshold such as a peak flow, a fraction thereof, other intravascular parameters or a point in time during which peak flow or a change in one of the perimeters occurs. An exemplary probe includes one or more of a pressure sensor, a resistor, a flow sensor and can be used to generate diagnostic data based upon measured intravascular and other parameters. In part, the disclosure relates to methods and systems suitable for determining a coronary flow reserve value in response to one or more of intravascular pressure and flow data or data otherwise correlated therewith.

Methods and systems are provided for obtaining cleaned sequences showing trajectories of movement of a center of gravity and for estimating a biometric information pattern or value of a target. One of the methods includes removing noises from initial sequences showing trajectories of movement of a center of gravity to obtain the cleaned sequences. Another one of the methods includes reading cleaned sequences of the target into a memory, extracting features from the cleaned sequences, and estimating a biometric information pattern or value of the target from the extracted features, using a classification or regression model of biometric information patterns or values. The biometric information pattern may be a pattern derived from respiratory or circulatory organs of a target.

A tissue oximetry device utilizes at least three or at least four different wavelengths of light for collection of reflectance data where the different wavelengths are longer than 730 nanometers. The three or four wavelengths are utilized to generate a range of reflectance data suited for accurate determination of oxygenated hemoglobin and deoxygenated hemoglobin concentrations. The relatively long wavelengths decrease optical interference from certain dyes, particularly methylene blue and PVPI, which may be present on tissue being analyzed for viability and further enhance the generation of accurate reflectance data. The wavelengths are 760 nanometers, 810 nanometers, and 850 nanometers, or 760 nanometers, 810 nanometers, 850 nanometers, and 900 nanometers.

Introduced are methods and systems for an adjustable bed device configured to: gather biological signals associated with multiple users, such as heart rate, breathing rate, or temperature; analyze the gathered human biological signals; and heat or cool a bed based on the analysis.

A method for calibrating detectors of a self-contained, tissue oximetry device includes emitting light from a light source into a tissue phantom, detecting in a plurality of detectors the light emitted from the light source, subsequent to reflection from the tissue phantom, and generating a set of detector responses by the plurality of detectors based on detecting the light emitted from the light source. The method further includes determining a set of differences between the set of detector responses and a reflectance curve for the tissue phantom, and generating a set of calibration functions based on the set of differences. Each calibration function in the set of calibration functions is associated with a unique, light source-detector pair. The method further includes storing the set of calibration function in a memory of the self-contained, tissue oximetry device.

A system for monitoring and analyzing impact data to determine consciousness level and injuries, comprising: impact event monitoring device monitors impact event that occurs to first end-user, impact event monitoring device integrated into objects; impact event monitoring device collects impact data of objects, first end-user using sensors, impact sensing unit, motion detection unit, GPS module, image capturing unit; network module send impact data to impact event monitoring and analyzing module, impact event monitoring and analyzing module convert impact data into Yaw, Pitch and Roll data, impact event monitoring and analyzing module analyze Yaw, Pitch and Roll data with machine learning techniques and deep learning techniques; impact event monitoring and analyzing module report and send emergency notifications to second computing device, impact data accessing module enable second end-user to examine location and intensity of impact event to understand consciousness level and injuries for providing better treatment to first end-user.