Abstract: Systems, methods and media for detecting a seizure use one or more 3D cameras to monitor an individual. The 3D cameras may movements associated with the tonic or clonic phases of a seizure. A detection zone is used to monitor the individual via the one or more 3D cameras. As the individual moves, the detection zone is automatically adjusted such that zone remains around the person. Detected body position and/or movements, including rate of movement and duration of movement, consistent with a seizure may cause the system or media to alert the individual, a central monitoring system, caregivers, and/or others.

Abstract: A system and method that allows caregivers, central monitoring companies and other persons to monitor whether individuals entering patients' rooms take appropriate steps to mitigate the spread of healthcare associated infections to the patients receiving healthcare services. In one non-limiting example the system and method determine whether an individual who has entered the room of a patient has washed his or her hands prior to approaching the patient. A live video feed from the monitored rooms can be displayed on a centralized monitoring primary display which can be located remote to the monitored rooms. When it is determined that an individual in a specific room from the monitored rooms is approaching a patient and has not washed his or her hands an alert, notification and/or a live video feed for the specific room can be displayed on a centralized monitoring alert display which can also be preferably located remote to the monitored rooms.

Abstract: Systems and methods allow caregivers, central monitoring, and/or other persons to monitor whether a patient or another person has generated a call, such as an audio call. The systems and methods work by detecting audio within one or more audio detection zones, which are predefined areas surrounding the patient or other person to be monitored. The systems and methods detect when a command/keyword is spoken in the audio detection zone and generate an appropriate alert to an appropriate role.

Abstract: An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

Abstract: Systems, methods and media for detecting a seizure use one or more 3D cameras to monitor an individual. The 3D cameras may movements associated with the tonic or clonic phases of a seizure. A detection zone is used to monitor the individual via the one or more 3D cameras. As the individual moves, the detection zone is automatically adjusted such that zone remains around the person. Detected body position and/or movements, including rate of movement and duration of movement, consistent with a seizure may cause the system or media to alert the individual, a central monitoring system, caregivers, and/or others.

Abstract: Systems and methods allow caregivers, central monitoring, and/or other persons to monitor whether a patient or another person has generated a call, such as an audio call. The systems and methods work by detecting audio within one or more audio detection zones, which are predefined areas surrounding the patient or other person to be monitored. The systems and methods detect when a command/keyword is spoken in the audio detection zone and generate an appropriate alert to an appropriate role.

Abstract: An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

Abstract: Systems and methods for reducing the chance that a patient will develop a bedsore may determine whether a caregiver physically approaches a patient and remains in close physical proximity to a patient for a time sufficient to perform a bedsore prevention action. If a planned bedsore prevention action does not appear to be performed, the systems and methods may alert the patient, the caregiver, or others. A determination may be made as to whether the patient's position has changed in a manner consistent with a bedsore prevention action.

Abstract: A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required.

Abstract: Systems, methods and media for detecting a seizure use one or more 3D cameras to monitor an individual. The 3D cameras may movements associated with the tonic or clonic phases of a seizure. A detection zone is used to monitor the individual via the one or more 3D cameras. As the individual moves, the detection zone is automatically adjusted such that zone remains around the person. Detected body position and/or movements, including rate of movement and duration of movement, consistent with a seizure may cause the system or media to alert the individual, a central monitoring system, caregivers, and/or others.

Abstract: A system and method that allows caregivers, central monitoring companies and other persons to monitor whether individuals entering patients' rooms take appropriate steps to mitigate the spread of healthcare associated infections to the patients receiving healthcare services. In one non-limiting example the system and method determine whether an individual who has entered the room of a patient has washed his or her hands prior to approaching the patient. A live video feed from the monitored rooms can be displayed on a centralized monitoring primary display which can be located remote to the monitored rooms. When it is determined that an individual in a specific room from the monitored rooms is approaching a patient and has not washed his or her hands an alert, notification and/or a live video feed for the specific room can be displayed on a centralized monitoring alert display which can also be preferably located remote to the monitored rooms.

Abstract: A system and method that allows caregivers, central monitoring companies and other persons to monitor whether individuals entering patients' rooms take appropriate steps to mitigate the spread of healthcare associated infections to the patients receiving healthcare services. In one non-limiting example the system and method determine whether an individual who has entered the room of a patient has washed his or her hands prior to approaching the patient. A live video feed from the monitored rooms can be displayed on a centralized monitoring primary display which can be located remote to the monitored rooms. When it is determined that an individual in a specific room from the monitored rooms is approaching a patient and has not washed his or her hands an alert, notification and/or a live video feed for the specific room can be displayed on a centralized monitoring alert display which can also be preferably located remote to the monitored rooms.

Abstract: Systems and methods for reducing the chance that a patient will develop a bedsore may determine whether a caregiver physically approaches a patient and remains in close physical proximity to a patient for a time sufficient to perform a bedsore prevention action. If a planned bedsore prevention action does not appear to be performed, the systems and methods may alert the patient, the caregiver, or others. A determination may be made as to whether the patient's position has changed in a manner consistent with a bedsore prevention action.

Abstract: A prohibited object detection system detects prohibited objects in a patient room. An image of an object detected in a room of a patient is initially collected. The system identifies reference points on the object, for example, points along the contours of the object. The system may compare the reference points to reference points of images associated with prohibited objects. The system then determines, based on the comparison, if the object is a prohibited object. One or more designated recipients may be alerted if the object is a prohibited object. The system may also register the object in a database of prohibited objects.

Abstract: An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

Abstract: A system and method that allows caregivers, central monitoring companies, and other persons to monitor disabled, elderly, or other high-risk individuals and obtain automatic notification of falls by such an individual, including, but not limited to, falls that require assistance. One or more 3D motion and sound sensors can be placed in the monitored individual's room and provide continuous data which is analyzed to determine when the individual has fallen.

Abstract: A system and method that caregivers, central monitoring companies and other persons to monitor whether individuals entering patients' rooms take appropriate steps to mitigate the spread of healthcare associated infections to the patients receiving healthcare services. In one non-limiting the system and method determine whether an individual who has entered the room of a patient has wash his or her hands prior to approaching the patient. A live video feed from the monitored rooms can be displayed on a centralized monitoring primary display which can be located remote to the monitored rooms. When it is determined that an individual in a specific room from the monitored rooms is approaching a patient and has not washed his or her hands an alert, notification and/or a live video feed for the specific room can be displayed on a centralized monitoring alert display which can also be preferably located remote to the monitored rooms.

Abstract: A method for monitoring an individual in a dwelling so as to know when such individual falls or indicates the need of assistance. A plurality of 3D motion and sound sensors are located in the dwelling and provide data to a computerized monitoring system. The sensors are configured to recognize one or more biometric identifiers of the individual being monitored, which are used to track the individual's movement. When the monitoring system detects that the individual has fallen or gestured for assistance, a computerized communication system alerts the individual, a caregiver, or other designated person.

Abstract: A method and system that allows healthcare providers to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual. Two systems are used to identify patients—a skeletal tracking system that identifies patients by biometric indicators and a virtual blob detection system. In the virtual blob system, the monitored individual is virtually represented as a blob object of at least a specific size by a computerized monitoring system, and such system detects and alerts when the blob object enters or crosses into a virtually defined or designated blob detection zone and remains in the zone for at least a predetermined period of time. These systems may be used concurrently and conflicts between the systems may be resolved.

Abstract: A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required. The monitored individual is virtually represented as a blob object of at least a specific size by a computerized monitoring system and such system detects and alerts when the blob object enters or crosses into a virtually defined or designated blob detection zone and remains in the zone for at least a predetermined period of time.