A motion-sensing floor mat, an assembly of such floor mats, and a monitoring system with such floor mats are provided; wherein the floor mat can be joined with another such floor mat and electrically connected to a monitoring device to form the monitoring system; the monitoring device stores a queue list and a topology matrix and uses a topological algorithm to store the identification tag of each such floor mat detected into the queue list in order, to gradually establish the topology matrix for the floor mats detected; and to thereby obtain the relative positions of the floor mats detected. When any of the floor mats is subjected to pressure (e.g., when someone falls on the floor mat accidentally) and generates a sensing signal, the monitoring device can pinpoint the position of that floor mat (i.e., the location of the fall) rapidly according to the topology matrix.

A system for detecting and discriminating the severity of a fall includes a mobile device configured to communicate a network, a notification module, and a wearable device configured to communicate with the mobile device, the wearable device including a fall monitor and an activity log resident on the wearable device, where the fall monitor is configured to record detected movement on the activity log. The notification module is configured to effect a selectable setting of a rate of communication between the mobile device and the wearable device based on at least part of a predetermined pattern of a fall discriminator within the activity log, where the selectable setting defines a predetermined period of communication between the mobile device and the wearable device. The fall discriminator is configured to determine when the activity log includes a notable fall event based on the predetermined pattern.

Methods and systems for delaying alarms that include detecting an analyte level using an analyte sensor; and delaying the annunciation of an analyte alarm after the analyte level crosses an analyte threshold, wherein the delay is based on one or both of (1) a magnitude of difference between the analyte level and the analyte threshold and (2) a duration of time in which the analyte level has crossed the analyte threshold.

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.

An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information.

A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a thermal camera that is configured to generate a thermal image of the property. The monitoring system further includes a monitor control unit that is configured to receive, from the thermal camera, the thermal image. The monitor control unit is further configured to, based on the thermal image, determine a temperature of a portion of the property depicted in the thermal image. The monitor control unit is further configured to determine that the temperature of the portion of the property depicted in the thermal image satisfies a temperature threshold. The monitor control unit is further configured to, based on determining that the temperature of the portion of the property depicted in the thermal image satisfies the temperature threshold, select and perform a monitoring system action.

A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a first subset of pixels within a field of view of a camera as representing a bed. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed. The method also includes determining an orientation of the object within the bed.

A system and a method are described for monitoring a medical care environment. In one or more implementations, a method includes identifying a first subset of pixels within a field of view of a camera as representing a bed. The method also includes identifying a second subset of pixels within the field of view of the camera as representing an object (e.g., a subject, such as a patient, medical personnel; bed; chair; patient tray; medical equipment; etc.) proximal to the bed. The method also includes determining an orientation of the object within the bed.

Emotional loneliness is referred as the absence of an attachment figure in one’s life and someone to turn to. The existing methods use installation of sensors for tracking the movement, behaviour and activity of the person, but most of the efforts are obtrusive in nature. A non-obtrusive method and system for detection of emotional loneliness of a person have been provided. The disclosure is utilizing multiple varied techniques to understand the emotional loneliness. The multiple techniques comprise room change movement anomalies, living room stay anomalies, correlating the living room stay with the bedroom stay and outdoor movement anomalies. The methodology also ensures reduced variance and false positives, as emotional loneliness is finally determined based on more than two positives of above methods. The detection of person’s movement is done using a featured engineered dataset based on collection of raw time series data collected from a plurality of motion sensors.