Patent classifications
A61B5/4809
Information processing system, information processing device, storage medium storing information processing program, and information processing method
An example information processing system executes a game application. The information processing system obtains user information for calculating information relating to sleep of a user, and calculates health information relating to sleep and/or fatigue of the user based on the obtained user information. The information processing system controls a game progress of the game application based on the health information.
Fitness activity related messaging
In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.
SLEEP DETECTION FOR SLEEP DISORDERED BREATHING (SDB) CARE
A device and/or method to determine a sleep-wake status, such as in association with sleep disordered breathing (SDB) care.
SLEEP STATUS DETECTION FOR APNEA-HYPOPNEA INDEX CALCULATION
Devices, systems, and methods are disclosed. The devices, systems, and methods detect one or more parameters with respect to movement of a user, cardiac activity of the user, audio associated with the user, or a combination thereof during a sleep session of the user; process the one or more parameters to determine a sleep status of the user, the sleep status being at least one of awake, asleep, or a sleep stage; and calculate an apnea-hypopnea index for the user during the sleep session based, at least in part, on the sleep status.
Method for providing alert of potential thyroid abnormality
Provided are a system and a computer program for managing and predicting thyrotoxicosis using a wearable device. The system for predicting thyrotoxicosis is a system for predicting thyrotoxicosis using a resting heart rate, the system including a wearable device for measuring the heart rate of a patient at regular intervals, and a bio-signal computing device for receiving heart rate information from the wearable device, the bio-signal computing device outputting a warning alarm when a resting heart rate is greater than a reference heart rate when the patient is in a normal state.
Bed having rollover identifying feature
A mattress has a first support portion configure to receive and support a first user and a second support portion configured to receive and support a second user. The first support portion and the second support portion are adjacent to each other such that the first user is capable of rolling over from the first support portion to the second support portion while sleeping on the first support portion. A sensor is configured to sense first pressure in the first support portion and sense second pressure in the second support portion. The sensor is further configured to transmit data of the first pressure and the second pressure. The controller is configured to receive the data and from the data of the first pressure and the second pressure, determine if the first user has rolled over from the first support portion to the second support portion.
Controlling medical device operation and features based on detected patient sleeping status
A system includes a medical device that regulates delivery of medication to a user, a sleep detection system configured to generate user status data that indicates sleeping status of the user, and configured to communicate the user status data, and at least one controller that controls alerts associated with operation of the medical device. The at least one controller receives the user status data generated by the sleep detection system, determines, from the user status data, that the user is sleeping, activates a sleep mode alerting scheme of the medical device when it determines that the user is sleeping, and, after activating the sleep mode alerting scheme, controls generation and outputting of alerts associated with operation of the medical device in accordance with the sleep mode alerting scheme.
ELECTRONIC INK DISPLAY FOR SMART RING
A system for displaying information indicative of driving conditions, to a driver, using a smart ring are disclosed. An exemplary system includes a smart ring with a ring band having a plurality of surfaces including an inner surface, an outer surface, a first side surface, and a second side surface. The system further includes a processor, configured to obtain data from a communication module within the ring band, or from one or more sensors disposed within the ring band. The obtained data are representative of information indicative of one or more driving conditions to be displayed to the driver. The smart ring also includes an electronic ink (e-ink) display disposed on at least one of the plurality of surfaces, and configured to present information indicative of the one or more driving conditions.
METHOD AND APPARATUS FOR BIOLOGICAL EVALUATION
A medical device for monitoring biological parameters through an Abreu Brain Thermal Tunnel (ABTT) is provided. By monitoring and analyzing the temperature of the ABTT, it is possible to diagnosis changes in a patient or subject under a variety of conditions, including predicting the course of medical conditions. Furthermore, since the ABTT is predictive, analysis of the ABTT may be used to control mechanisms for safety when an impending medical condition makes such operation hazardous.
SYSTEMS AND METHODS FOR INSOMNIA SCREENING AND MANAGEMENT
A method includes receiving physiological data associated with a user during a sleep session. The method also includes determining a sleep-wake signal for the user during the sleep session based at least in part on the received physiological data. The method also includes determining one or more sleep-related parameters for the user during the sleep session based at least in part on the sleep-wake signal. The method also includes determining that the user experienced insomnia during the sleep session based at least in part on at least one of the one or more sleep-related parameters. The method also includes identifying a type for the insomnia experienced by the user based at least in part on the one or more sleep-related parameters.