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: 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. Two systems are used to identify patients, a skeletal tracking system, which 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, or one system may be used primarily, with the other system acting as a failsafe.

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 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 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. When the monitoring system detects that the individual has fallen or gestured, a computerized communication system contacts the individual to determine the need to send assistance to help the individual. Where assistance is required the system automatics contacts the previously designated caregiver for the individual and can also contact emergency personnel.

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: 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: A stroke detection system analyzes images of a person's face over time to detect asymmetric changes in the position of certain reference points that are consistent with sagging or drooping that may be symptomatic of a stroke or TIA. On detecting possible symptoms of a stroke or TIA, the system may alert caregivers or others, and log the event in a database. Identifying stroke symptoms automatically may enable more rapid intervention, and identifying TIA symptoms may enable diagnostic and preventative care to reduce the risk of a future stroke.

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 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: 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. When the monitoring system detects that the individual has fallen or gestured, a computerized communication system contacts the individual to determine the need to send assistance to help the individual. Where assistance is required the system automatics contacts the previously designated caregiver for the individual and can also contact emergency personnel.

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.

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: A system and 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. When the monitoring system detects that the individual has fallen or gestured, a computerized communication system contacts the individual to determine the need to send assistance to help the individual. Where assistance is required the system automatics contacts the previously designated caregiver for the individual and can also contact emergency personnel.

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.

Abstract: A system and 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. When the monitoring system detects that the individual has fallen or gestured, a computerized communication system contacts the individual to determine the need to send assistance to help the individual. Where assistance is required the system automatics contacts the previously designated caregiver for the individual and can also contact emergency personnel.

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: A computerized system for preventing bedsores may use a 3D motion sensor and computerized monitoring system to detect changes in patient position consistent a bedsore prevention plan. A communication subsystem may be used to issue alerts to patients and/or caregivers if a predetermined time period elapses without detectable bedsore prevention actions.

Abstract: Systems and methods allow caregivers, central monitoring, and/or other persons to monitor whether a patient has moved or changed positions sufficient to prevent the patient from developing bedsores or at least reduce the chance of bedsores from developing. The systems and methods work by detecting when a caregiver has entered within a predefined patient or bed zone. The systems and methods detect whether the caregiver remained within the zone for a predetermined time period. If the caregiver fails to remain within the zone for the predetermined time period, an alert is generated as this could indicate that the caregiver was not present long enough with the patient for the patient to sufficiently move or change positions.