Abstract: A video monitoring system captures image frames of a patient in various positions. The captured image frames are analyzed by the system for changes in a patient's position or movement, frames in which the system detects one or both of patient movement and repositioning are retained. The system analyzes an area of interest within each image frame that corresponds to an area in the camera's view field with the patient. Sequential image frames are compared for motion, only frames without motion, where the patient is still, are analyzed.

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: An electronic sitter management system coupled to patient surveillance network having a plurality of video cameras, each camera transmitting a stream of surveillance video of a respective patient room. The sitter management system includes at least one sitter management device and a plurality of sitter devices. Each device being assigned a plurality of patient rooms and capable of receiving a plurality of streams of surveillance video for the corresponding plurality of patient rooms and simultaneously displaying a plurality of video images of the corresponding plurality of patient rooms. Each device is also capable of transmitting sitter device availability information to the sitter management device. The sitter management device being capable of recognizing a sitter device being unavailable and reassigning the plurality of patient rooms previously assigned to the unavailable device to other of the plurality of sitter devices that are available.

Abstract: A method and system for patient monitoring, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient in a bed is being monitored, and a computer system comprising memory and logic circuitry configured to determine bed rails positions of the bed, identify a position of the patient, and generate signals that control the bed rails of a bed based on the bed rails positions and the position of the patient.

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: An electronic sitter management system coupled to patient surveillance network having a plurality of video cameras, each camera transmitting a stream of surveillance video of a respective patient room. The sitter management system includes at least one sitter management device and a plurality of sitter devices. Each device being assigned a plurality of patient rooms and capable of receiving a plurality of streams of surveillance video for the corresponding plurality of patient rooms and simultaneously displaying a plurality of video images of the corresponding plurality of patient rooms. Each device is also capable of transmitting sitter device availability information to the sitter management device. The sitter management device being capable of recognizing a sitter device being unavailable and reassigning the plurality of patient rooms previously assigned to the unavailable device to other of the plurality of sitter devices that are available.

Abstract: A method and system for calibrating cameras of a monitoring system, the method comprises receiving a plurality of video frames including a wide area view of a patient area from a primary camera of a monitoring subsystem and a view of a region of interest within the patient area from a secondary camera of the monitoring subsystem, detecting a patient event based on an analysis of given ones of the plurality of video frames corresponding to the wide area view, transmitting the given ones of the plurality of video frames and an identification of the patient event to a viewer client device, generating detection-based calibration instructions based on the patient event, wherein the detection-based calibration instructions including control information that controls operation of the secondary camera based on a location of the patient event, and transmitting the detection-based calibration instructions to the monitoring subsystem, wherein the monitoring subsystem configures the secondary camera based on the control

Abstract: A smart monitoring system comprising a plurality of sensor devices within a home or facility, at least one of the plurality of sensor devices comprising sensor elements configured to detect activity of an individual in the home or facility, and a computing device configured to receive activity signals from the plurality of sensor devices associated with the individual from the home or facility, parse the activity signals into scoring components by correlating the plurality of sensor devices to the scoring components, the scoring components including a sleep score, a motion score, and an event score, compute a current scoring of the individual based on the scoring components, compare the current scoring of the individual to historic scoring and peer scoring, generate a quality of life score for the individual based on the based on the comparison, and process a clinical analysis of the individual based on the quality of life score, the clinical analysis including graphical representations of the quality of life

Abstract: The local surveillance sub-system recognizes that a patient medical procedure has or will soon commence by sensing the presence of a healthcare professional in or near the surveillance area, and in response, creates a separate patient medical procedure A/V file for the surveillance data that will be captured. A dedicated procedure remote may be provided for receiving manual interactions from HC professionals present for a procedure or, alternatively, the local surveillance sub-system may autonomously interact with a personal security token device possessed by the HC professional. A procedure data file is also created that holds all of the pertinent information concerning the procedure that is known by the local surveillance sub-system. The patient procedure surveillance A/V file is given a higher priority than ordinary surveillance data captured by the local surveillance sub-system and is then copied to a nonvolatile memory.

Abstract: A smart monitoring system comprising a plurality of sensor devices within a home or facility, at least one of the plurality of sensor devices comprising sensor elements configured to detect activity of an individual in the home or facility, and a computing device configured to receive activity signals from the plurality of sensor devices associated with the individual, parse the activity signals into scoring components including a sleep score, a motion score, and an event score, compute a current scoring of the individual based on the scoring components, compare the current scoring of the individual to historic scoring and peer scoring, generate a quality of life score for the individual based on the based on the comparison, and process a clinical analysis of the individual based on the quality of life score, the clinical analysis including graphical representations of the quality of life score and the scoring components.

Abstract: The local surveillance sub-system recognizes that a patient medical procedure has or will soon commence by sensing the presence of a healthcare professional in or near the surveillance area, and in response, creates a separate patient medical procedure A/V file for the surveillance data that will be captured. A dedicated procedure remote may be provided for receiving manual interactions from HC professionals present for a procedure or, alternatively, the local surveillance sub-system may autonomously interact with a personal security token device possessed by the HC professional. A procedure data file is also created that holds all of the pertinent information concerning the procedure that is known by the local surveillance sub-system. The patient procedure surveillance A/V file is given a higher priority than ordinary surveillance data captured by the local surveillance sub-system and is then copied to a nonvolatile memory.

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: An electronic sitter management system coupled to patient surveillance network having a plurality of video cameras, each camera transmitting a stream of surveillance video of a respective patient room. The sitter management system includes at least one sitter management device and a plurality of sitter devices. Each device being assigned a plurality of patient rooms and capable of receiving a plurality of streams of surveillance video for the corresponding plurality of patient rooms and simultaneously displaying a plurality of video images of the corresponding plurality of patient rooms. Each device is also capable of transmitting sitter device availability information to the sitter management device. The sitter management device being capable of recognizing a sitter device being unavailable and reassigning the plurality of patient rooms previously assigned to the unavailable device to other of the plurality of sitter devices that are available.

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 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 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.