Patent classifications
A61B5/6889
WAKE-UP DETECTION DEVICE
The wake-up detection device may include a sensor configured to detect a movement of a person and a biosignal of the person; and a controller configured to analyze the movement and the biosignal recognized by the sensor, and determine whether the person wakes up from sleep, on the basis of a result of analyzing the movement and the biosignal. The controller may determine a change in a heart rate of the person when the person converts from a sleep state to a non-sleep state, and when it is determined that the change in the heart rate and the movement of the person increase, the controller may output a first alarm.
INFORMATION PROCESSING SYSTEM, CONTROL METHOD THEREOF, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
An information processing system is provided. The information processing system comprises: an analysis device configured to analyze emotion of a first person and quantify an emotion level of the first person; and an identification device configured to identify a second person serving as a communication target of the first person. The information processing system further comprises a notification device configured to notify the second person if the emotion level exceeds a set threshold.
METHOD AND SYSTEM FOR DETECTION AND VALIDATION OF NOCTURIA IN A PERSON
Nocturia has been defined as the need for an individual to wake up one or more times during the night to void. Further, Nocturia detection also requires analysis of sleeping pattern of the person. In such cases a lot of assumptions are made when the person is not in bedroom during nights. A method and system for detection and validation of Nocturia in the person has been provided. The system is utilizing a statistical based analysis, a rule based analysis, a machine learning based analysis and analysis of sleeping pattern of the person to detect and validate Nocturia. The system ensures that the person is not disturbed in his/her daily activities. Further, the processes deployed in the system are completely un-supervisory in nature meaning it does not have the dependency of needing to have trained machine learning dataset.
Estimation method and device to identify next position of a living body
An estimation method includes: transmitting transmission signals using M transmission antenna elements; receiving reception signals by N reception antenna elements; calculating, from the reception signals, a first matrix whose components are complex transfer functions indicating propagation characteristics between the transmission antenna elements and the reception antenna elements; estimating, using the first matrix, a position and an orientation of a living body relative to an estimation device; when the estimated position is in a first identification region and the estimated orientation is in a predetermined range from a first direction, identifying the living body based on time waveforms of the reception signals and a first training signal which is obtained in advance in the first identification region and corresponds to the living body; and adding, as an identification region for identifying the first living body identified, a new identification region based on an estimated position of the first living body identified.
PLAY EXPERIENCE SYSTEM
A play experience system disclosed in the present invention comprises an experience device including a plurality of experience rooms and a plurality of experience instruments provided in each of the plurality of experience rooms for the user to experience the play-type; a sensor device comprising at least one or more sensors being disposed in a predetermined area of each of the plurality of experience instruments; and a processing device configured to receive body composition information and heart rate information of the user and comprehensive measurement information on physical development items of the user from the at least one or more sensors, and to obtain result information on a current level of the physical development items of the user by comparing the received comprehensive measurement information on the physical development items with pre-stored standard information on the physical development items.
Patient data collection system and method
Various systems and methods for collecting patient data are discussed herein. According to some systems and methods, a timer may be started, and a blood pressure data collection system is actuated to obtain a blood pressure measurement of a patient upon the expiration of the timer. The timer may be incorporated into a patient data collection system or method to ensure the patient is relaxed and calm prior to taking a blood pressure measurement. An event may be sensed by an environmental sensor system and the timer may be started in response to sensing the event. A clinician leaving a room where the patient is disposed is one example of an event. An interruption may be sensed by the environmental sensor system and the timer may be terminated in response to sensing the interruption. The clinician entering the room where the patient is disposed in one example of an interruption.
Extended Intelligence for Cardiac Implantable Electronic Device (CIED) Placement Procedures
Novel tools and techniques are provided for implementing intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem to placement procedures for cardiac implantable electronic device (“CIED”). In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in performing a CIED placement procedure in a heart of the patient, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the heart of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.
Single-sensor hyperspectral imaging device
The present disclosure generally relates to hyperspectral spectroscopy, and in particular, to systems, methods and devices enabling a single-sensor hyperspectral imaging device. Hyperspectral (also known as “multispectral”) spectroscopy is an imaging technique that integrates multiples images of an object resolved at different narrow spectral bands (i.e., narrow ranges of wavelengths) into a single data structure, referred to as a three-dimensional hyperspectral data cube. Data provided by hyperspectral spectroscopy allow for the identification of individual components of a complex composition through the recognition of spectral signatures of individual components within the three-dimensional hyperspectral data cube.
System and method for detecting lower body positions, movements, and sequence in golf swing training
Disclosed are various embodiments of golf training device that helps a golfer learn and coordinate lower body positions and movements with upper body movements, using a series of feedback signals. In one embodiment, among others, a system comprises a foot sensor that attaches to a Lead Foot of a user. The foot sensor is configured to detect a heel of the Lead Foot being raised. The system also comprises a leg sensor that attaches to a Trail Leg of the user, and the leg sensor detects a bend in the Trail Leg of the user. The foot sensor is configured to detect the heel being lowered at an instance after the detection of the bend in the Trail Leg. The system further comprises a feedback device configured to activate one or more feedback indicators after the detections of foot and/or leg movements.
System And Method For Controlling A Bedroom Environment Control Using A Sleep Tracking System
A method and system that is integrated in order to provide an automated control system for the user, which provides messaging to bedroom environmental control systems as a function of the status of the user's sleep state is disclosed herein. The system comprises a sleep monitoring sub-system and a bedroom environmental control sub-system. The sleep monitoring sub-system is configured to transmit the subject's sleep progression data to an interface for the bedroom environmental control system. The bedroom environmental control system is configured to modify a bedroom environment based on the subject's sleep progression data.