Abstract:
Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.
Abstract:
A system for monitoring a patient in a patient area having one or more detection zones, the system comprising one or more cameras, a user interface, and a computing system configured to receive a chronological series of frames from the one or more cameras, identify liquid candidates by comparing a current frame with a plurality of previous frames of the chronological series, determine locations of the liquid candidates, identify thermal signatures of the liquid candidates, determine types of liquids of the liquid candidates based on the locations and thermal signatures of the liquid candidates, and generate an alert with the user interface corresponding to the determined types of liquids.
Abstract:
A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.
Abstract:
A system for monitoring a patient in a patient area having one or more detection zones, the system comprising one or more cameras, a user interface, and a computing system configured to receive a chronological series of frames from the one or more cameras, identify liquid candidates by comparing a current frame with a plurality of previous frames of the chronological series, determine locations of the liquid candidates, identify thermal signatures of the liquid candidates, determine types of liquids of the liquid candidates based on the locations and thermal signatures of the liquid candidates, and generate an alert with the user interface corresponding to the determined types of liquids.
Abstract:
A smart monitoring system comprising a plurality of sensor devices coupled to appliances and fixtures within a dwelling environment, where at least one of the plurality of sensor devices comprises sensor elements including an accelerometer. The system further comprising a computing device operative to receive event signals from the plurality of sensor devices, identify a possible fall event from one or more of the plurality of sensor devices based on the event signals, sample sensor data from one or more of the plurality of sensor devices wherein the sensor data includes measurements of movement. The computer device is further operative to determine a fall has occurred based on the sampled sensor data, sample additional sensor data from the one or more of the plurality of sensor devices for additional motion at a period of time subsequent to the possible fall event, and determine a recovery from the fall based on the additional sensor data.
Abstract:
A smart monitoring system comprising a plurality of sensor devices coupled to appliances and fixtures within a dwelling environment, at least one of the plurality of sensor devices comprising sensor elements including an accelerometer configured to detect a usage associated with the appliances and fixtures, and a computing device operative to receive event signals from the plurality of sensor devices, generate a collection of data with the event signals, analyze the collection of data, generate analytics and pattern data based on the analysis, and generate notifications based on abnormalities in the analytics and pattern data.
Abstract:
A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.
Abstract:
A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.
Abstract:
Various patient monitoring systems can include a sensor configured to collect three dimensional information. The systems can identify a location of a patient support surface based on the three dimensional information. The systems can set a two dimensional planar threshold based on the patient support surface. The systems can identify a patient location above the patient support surface based on the three dimensional information and compare the patient location to the two dimensional planar threshold. Exceeding the threshold can be indicative of a high risk of a patient fall. An alert can be generated based on the threshold being exceeded. The systems can repeat the identification of the patient support surface location and the setting of the threshold to account for changes in the patient area.
Abstract:
A smart monitoring system comprising a plurality of sensor devices coupled to appliances and fixtures within a dwelling environment, where at least one of the plurality of sensor devices comprises sensor elements including an accelerometer. The system further comprising a computing device operative to receive event signals from the plurality of sensor devices, identify a possible fall event from one or more of the plurality of sensor devices based on the event signals, sample sensor data from one or more of the plurality of sensor devices wherein the sensor data includes measurements of movement. The computer device is further operative to determine a fall has occurred based on the sampled sensor data, sample additional sensor data from the one or more of the plurality of sensor devices for additional motion at a period of time subsequent to the possible fall event, and determine a recovery from the fall based on the additional sensor data.