Predictive fall event management system and method of using same
Various embodiments of a predictive fall event management system and a method of using such system are disclosed. The system includes a body-worn device and a controller operatively connected to the body-worn device. The controller is adapted to receive physiological data representative of a physiological characteristic of a wearer of the body-worn device over a monitoring time period; receive contextual data representative of context information of the wearer over the monitoring time period; and determine one or more future physiological states or contextual states based at least in part on one or more of the physiological data and the contextual data. The controller is further adapted to determine, for a future time, whether a fall condition is satisfied based upon the one or more future physiological states or contextual states and generate a fall prevention output responsive to satisfaction of the fall condition.
1. A predictive fall event management system, comprising:
a body-worn device; and
a controller operatively connected to the body-worn device, wherein the controller is adapted to:
receive one or more of
physiological data representative of a physiological characteristic of a wearer of the body-worn device over a monitoring time period; and
contextual data representative of context information of the wearer over the monitoring time period;
determine a first future physiological state or a first contextual state based at least in part on one or more of the physiological data and the contextual data at a first future time, wherein the first future time is between five seconds and five minutes in the future;
determine a second future physiological state or a second contextual state based at least in part on one or more of the physiological data and the contextual data at a second future time wherein the second future time is at least ten minutes in the future;
determine, for the first future time, whether a fall condition is satisfied based upon the first future physiological state or the first contextual state;
determine, for the second future time, whether the fall condition is satisfied based upon the second future physiological state or the second contextual state;
generate a fall prevention output responsive to satisfaction of the fall condition for the first future time and the second future time.
2. The system of claim 1 , further comprising a sensor operatively connected to the body-worn device and adapted to detect the physiological characteristic of the wearer of the body-worn device and generate the physiological data representative of the physiological characteristic, wherein the controller is adapted to receive the physiological data from the sensor.
3. The system of claim 1 , wherein the controller is further adapted to determine, for the first future time and the second future time, whether an anticipated fall condition is satisfied based upon a combination of the physiological data and the contextual data.
4. The system of claim 1 , wherein the controller is further adapted to determine, for the first future time and the second future time, whether the fall condition is satisfied by determining one or more of a future fall risk value and statistics based upon the one or more future physiological states or contextual states.
5. The system of claim 4 , wherein determining whether the fall condition is satisfied includes applying one or more of the fall risk value and statistics to a fall risk model.
6. The system of claim 5 , wherein the controller is further adapted to:
receive balance data representative of a balance event; and
update the fall risk model based upon one or more of the physiological data, contextual data, and the balance data.
7. The system of claim 1 , wherein physiological data comprises at least one of a determined fall risk, inertial sensor data, heart rate information, blood pressure information, drug concentration information, blood sugar level, body hydration information, neuropathy information, blood oximetry information, hematocrit information, body temperature, cortisol levels, age, sex, gait or postural stability attribute, vision, eye movement, or head movement.
8. The system of claim 1 , wherein physiological data comprises one or more inputs provided by the wearer in response to one or more queries.
9. The system of claim 1 , wherein contextual data comprises at least one of weather condition, environmental condition, sensed condition, location, velocity, acceleration, direction, hazard beacon, type of establishment occupied by the wearer, camera information, or presence of stairs.
10. The system of claim 1 , wherein the fall prevention output comprises one or more of
an alert provided to the wearer;
electrical stimulation; and
thermal stimulation;
wherein the alert comprises one or more of an audible alert, a visual alert, or a tactile alert.
11. The system of claim 1 , wherein the fall prevention output comprises a modification of an environmental context of the wearer.
12. The system of claim 1 , wherein the fall prevention output comprises transmission of one or more of the physiological data and the contextual data to one or more of a caregiver, a medical professional, a database, or the wearer.
13. The system of claim 1 , wherein the controller is further adapted to detect disruption to the wearer's postural stability.
14. The system of claim 1 , wherein the second future time is at least 72 hours in the future.
15. A method comprising:
receiving one or more of
physiological data representative of a physiological characteristic of a wearer of the body-worn device over a monitoring time period; and
contextual data representative of context information of the wearer over the monitoring time period;
determining a first future physiological state or a first contextual state based at least in part on one or more of the physiological data and the contextual data at a first future time, wherein the first future time is between five seconds and five minutes in the future;
determining a second future physiological state or a second contextual state based at least in part on one or more of the physiological data and the contextual data at a second future time wherein the second future time is at least ten minutes in the future;
determining, for the first future time, whether a fall condition is satisfied based upon the first future physiological state or the first contextual state;
determining, for the second future time, whether the fall condition is satisfied based upon the second future physiological state or the second contextual state;
generating a fall prevention output responsive to satisfaction of the fall condition for the first future time and the second future time.
16. The method of claim 15 , further comprising determining, for the first future time and the second future time, whether an anticipated fall condition is satisfied based upon a combination of the physiological data and the contextual data.
17. The method of claim 15 , further comprising:
receiving balance data representative of a balance event; and
updating the fall risk model based upon one or more of the physiological data, contextual data, and the balance data.
18. The method of claim 15 , wherein determining whether a fall condition is satisfied includes applying one or more of the fall risk value and statistics to a fall risk model.
19. The method of claim 18 , wherein determining whether a fall condition is satisfied includes determining one or more of a future fall risk value and statistics based upon the one or more future physiological states or contextual states.
20. The method of claim 15 , wherein the second future time is at least 72 hours in the future.