Abstract: Systems and methods for identifying someone intending to leave a bed or chair generally before or shortly after the bed or chair is exited. These can allow intervention where necessary to prevent some falls before they occur. The systems and methods typically collect and aggregate real-time patient data to detect “attempted bed exits”—attempts made by a patient which indicate that the patient may be attempting to leave the bed or chair and, determine their risk for falling. Where done in real time, a patient making an “attempt” to exit can be stopped before or shortly after an actual exit is made, permitting staff to assist with, or prevent, the exit as necessary.

Abstract: Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

Abstract: Systems and methods for using depth camera imagery to identify someone intending to leave a bed or chair before the bed or chair is exited allowing intervention where necessary to prevent falls before they occur. Such systems can also be used to detect falls in other specific situations such as those which involve falls partially obscured by furniture, doorways, or other objects in the room.

Abstract: Systems and methods for identifying someone intending to leave a bed or chair generally before or shortly after the bed or chair is exited. These can allow intervention where necessary to prevent some falls before they occur. The systems and methods typically collect and aggregate real-time patient data to detect “attempted bed exits”—attempts made by a patient which indicate that the patient may be attempting to leave the bed or chair and, determine their risk for falling. Where done in real time, a patient making an “attempt” to exit can be stopped before or shortly after an actual exit is made, permitting staff to assist with, or prevent, the exit as necessary.

Abstract: Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

Abstract: Systems and methods designed to detect a human being falling as opposed to an inanimate object. Generally, the systems and methods will utilize a depth camera, which will often image in the NIR spectrum to detect a falling object. The portion detected as a falling object will often be detected as separating from a point cloud indicative of one object in contact with another. Should such a separation be detected, the systems and methods will utilize a thermal sensor, often a camera imaging in the LWIR spectrum, to determine if the falling portion has a heat signature indicative of a human being.

Abstract: A sensor which is generally included as part of a bed or chair or is attached to or placed on or under a mattress for the physical detection of respiration and cardiac function and particularly alteration in respiration or cardiac function. The sensor may be a portion of a system which is designed to monitor respiration and cardiac function over time.

Abstract: Systems and methods for the physical detection of respiration and cardiac function and particularly alteration in respiration which can be used to detect potential damage to the lungs, mucus accretion, or other symptoms which can be indicative of respiratory infection. This physical detection is typically performed using specialized simple sensors which are included as part of a bed or are attached to or placed on or under a mattress or, in an embodiment, using physical sensors in mobile devices such as smart phones allowing for much broader data collection, monitoring, and identification of those afflicted.

Abstract: Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

Abstract: Systems and methods for identifying someone intending to leave a bed or chair generally before or shortly after the bed or chair is exited. These can allow intervention where necessary to prevent some falls before they occur. The systems and methods typically collect and aggregate real-time patient data to detect “attempted bed exits”—attempts made by a patient which indicate that the patient may be attempting to leave the bed or chair and, determine their risk for falling. Where done in real time, a patient making an “attempt” to exit can be stopped before or shortly after an actual exit is made, permitting staff to assist with, or prevent, the exit as necessary.

Abstract: Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

Abstract: Systems and methods designed to detect a human being falling as opposed to an inanimate object. Generally, the systems and methods will utilize a depth camera, which will often image in the NIR spectrum to detect a falling object. The portion detected as a falling object will often be detected as separating from a point cloud indicative of one object in contact with another. Should such a separation be detected, the systems and methods will utilize a thermal sensor, often a camera imaging in the LWIR spectrum, to determine if the falling portion has a heat signature indicative of a human being.

Abstract: Systems and methods designed to detect a human being falling as opposed to an inanimate object. Generally, the systems and methods will utilize a depth camera, which will often image in the NIR spectrum to detect a falling object. The portion detected as a falling object will often be detected as separating from a point cloud indicative of one object in contact with another. Should such a separation be detected, the systems and methods will utilize a thermal sensor, often a camera imaging in the LWIR spectrum, to determine if the falling portion has a heat signature indicative of a human being.

Abstract: Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

Abstract: Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

Abstract: Systems and methods for assisting in getting additional information to a triage nurse, or other healthcare individual who needs to triage or otherwise assess a patient, quickly. This information is generally obtained by performing automatic computer assessments of patients as they arrive at the emergency admission area and may be performed without the patient's knowledge such evaluation is occurring. This analysis can then be used to both directly provide additional information to a decision maker or can be used to provide specific gateways which, if passed, provide additional information.

Abstract: Systems and methods designed to detect a human being falling as opposed to an inanimate object. Generally, the systems and methods will utilize a depth camera, which will often image in the NIR spectrum to detect a falling object. The portion detected as a falling object will often be detected as separating from a point cloud indicative of one object in contact with another. Should such a separation be detected, the systems and methods will utilize a thermal sensor, often a camera imaging in the LWIR spectrum, to determine if the falling portion has a heat signature indicative of a human being.

Abstract: Systems and methods for the automatic assessment of a persons fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.