Patent classifications
A61B2503/08
NON-CONTACT IDENTIFICATION OF GAIT DYNAMICS, PATTERNS AND ABNORMALITIES FOR ELDERLY CARE
Determining gait patterns and abnormalities of a user includes forming a plurality of point clouds corresponding to the user, each of the point clouds being three-dimensional coordinates of moving points, frame by frame, through a data capturing session, determining centroids of the point clouds, determining momentary walking velocities using estimates based on vectors connecting the centroids for adjacent frames captured during walking of the user, determining gait speed for the user based on the momentary walking velocities, determining at least one distribution of gait speeds for the user, and detecting gait abnormalities based on deviation of the gait speed from the at least one distribution of gait speeds. Detecting a plurality of point clouds may include using a tracking device to capture movements of the user. The tracking device may use radar and/or lidar. The system may determine a gait pattern of the user corresponding to routines of the user.
Force measurement system
A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject thereon, and one or more data processing devices operatively coupled to the force measurement assembly. In one or more embodiments, the one or more data processing devices are configured to generate a first image portion comprising a primary screen image for viewing by the subject and display the first image portion using the at least one visual display device, and the one or more data processing devices are further configured to generate a second image portion comprising a virtual screen surround and display the second image portion using the at least one visual display device. The virtual screen surround of the second image portion is configured to at least partially circumscribe three sides of a torso of the subject and to substantially encompass a peripheral vision of the subject.
Detecting periods of inactivity
Techniques are described herein for monitoring activities of organisms, including sleep. In various embodiments, logic (116) may receive, from a first sensor (106) adapted to detect activity in a first area (104), signal(s) indicating activity of an organism. Based on these signal(s), the logic may identify (504) a first time at which the organism transitions into a first state. The logic may later receive (508), from a second sensor (110, 114) adapted to detect activity in a second area (108, 112), signal(s) indicative of activity in the second area. Based on these subsequent signal(s), the logic may identify (510) a second time that is after the first time, determine (512) whether the first sensor provided signal(s) indicative of activity in the first area within another time interval preceding the second time, and selectively store (514) an indication of transition of the organism into a second state based on the determination.
MANUFACTURING METHOD FOR INCONTINENCE DETECTION PADS HAVING WIRELESS COMMUNICATION CAPABILITY
A method of manufacturing incontinence detection pads that have wireless communication capability includes readying an RFID tag applicator to place RFID tags on backsheet material fed between a pair of nip rollers. The backsheet material has a series of electrode traces thereon. The method also includes operating a nip roller motor to feed the backsheet material between the pair of nip rollers and toward the RFID tag applicator, operating the RFID tag applicator to place each RFID tag across regions of a respective electrode trace of the series of electrode traces, and operating RFID tag test equipment to energize each RFID tag a first time and a second time using wireless emissions and receiving return signals from each RFID tag in response to the wireless emissions.
Information processing device, information processing method, program, and watching system
The present disclosure relates to an information processing device, an information processing method, a program, and a watching system that enable determination of a specific region, such as the region occupied by a bed, in accordance with a captured image. An information processing device as an aspect of the present disclosure includes: a moving object detection unit that detects a moving object in a captured image; a stay area information holding unit that holds stay area information indicating the position of the moving object detected in the captured image; a stay frequency map generation unit that extracts the stay area information corresponding to a predetermined time period from time-series stay area information being held, and generates a stay frequency map by combining the extracted stay area information; and a specific region determination unit that determines a specific region having a high stay frequency regarding the moving object, in accordance with the generated stay frequency map. The present disclosure can be applied to watching systems installed in elderly care facilities and the like, for example.
Oxygen Consumption and Energy Expenditure Monitoring
A patient ventilation system and a computing device-implemented method determine oxygen consumption in a mechanically ventilated subject includes receiving a signal representing a total flow at an inspiratory outlet of a ventilator, calculating a transport delay time between inspiratory and expiratory gas sample points in a patient ventilation circuitry, transmitting a signal to an inlet selector valve to selectively open a fluid path between the inspiratory gas sample point and an oxygen sensor or between the expiratory gas sample point and the oxygen sensor, receiving data representing oxygen content and carbon dioxide content over a period of time, calculating oxygen consumption data over the period of time from the data representing the total flow, oxygen content and carbon dioxide content and from the transport delay time, and displaying the oxygen consumption data over the period of time.
SYSTEM, APPARATUS, AND METHODS FOR REMOTE HEALTH MONITORING
The present disclosure relates to remote health monitoring of subjects, such as the elderly, senior citizens, individuals having chronic health issues, and/or individuals requiring assistance in managing their health or physiological condition.
Personal monitoring and response system
A system is disclosed herein. The system includes a server, a software-application and a wearable-device. The system includes virtual groups to allows guardians or caretakers to identify/be alerted of any issues with a monitored subject. Events are triggered by various sensed parameters including heart rate, location, medication, etc. Notifications and alerts are sent through the software-application to the guardians and may be viewed by first responders via a First Response Portal. The system is useful for utilizing social grouping to enable family members or close friends to provide caregiver ability to a subject remotely.
Wristband locking mechanism, wristband, wearable electronic device and method of securing an article to a person
A wristband locking mechanism for a wearable electronic device, a wristband, a wearable electronic device and a method of securing an article to a person. The wristband locking mechanism includes a clasp assembly with independently-operable spring-biased actuators such that the wristband locking mechanism cannot be unlocked using one hand. The use of sensors, processors, communication equipment and associated components within the wearable electronic device allows a caregiver to monitor one or more of location, environmental, physiological and activity data of a wearer of the device, while the requirement for two-handed operation for unlocking of the wristband locking mechanism provides a deterrent against intentional or unintentional removal of the attached article or wearable electronic device by the wearer.
ELDERLY MORTALITY AFTER TRAUMA PREDICTION SYSTEM WITH MULTI-STAGE MODELLING AND REPORTING
An elderly-mortality prediction system includes a computing system configured to apply a first analytical model to a subset of a set of patient data parameters for computing a quick elderly mortality after trauma (qEMAT) score indicative of a likelihood of mortality of the patient, wherein the subset of the data parameters includes patient data available at admission of the patient, and further configured to apply a second analytical model to compute a full elderly mortality after trauma (fEMAT) score as an updated score indicative of a likelihood of mortality of the patient, using a full set of patient demographic data parameters including the subset of the data parameters available at admission of the patient and additional data parameters based upon diagnostic results and medical history of the patient.