Systems and methods for patient fall detection
A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.
1. A method comprising:
obtaining, from a motion sensor of a wearable wireless device, motion data indicative of motion of a user over a time period when the wearable wireless device is worn by the user, wherein said motion sensor comprises an accelerometer and a gyroscope, and wherein said motion data comprises movement data and orientation data of the user;
normalizing the motion data with training data comprising a plurality of fall and non-fall scenarios;
determining, with the wearable wireless device and based on the motion data, an impact experienced by the user during the time period;
determining, with the wearable wireless device and based on the motion data, one or more first activity scenarios representative of the user's motion during the time period and prior to the impact experienced by the user;
determining, with the wearable wireless device and based on the motion data, an amount of rotation of the user during the time period and comparing said amount of rotation to a first threshold;
determining, with the wearable wireless device and based on the motion data, one or more second activity scenarios representative of the user's motion during the time period and after the impact experienced by the user;
determining, with the wearable wireless device, that the user has fallen based on the impact experienced by the user, the one or more first activity scenarios representative of the user's motion during the time period and prior to the impact, said amount of rotation exceeding said first threshold, and the one or more second activity scenarios representative of the user's motion during the time period and after the impact; and
responsive to determining that the user has fallen, generating, with the wearable wireless device, a notification indicating that the user has fallen.
2. The method of claim 1 , wherein said determining said one or more first activity scenarios representative of the user's motion during the time period and prior to the impact experienced by the user comprises determining a starting point of a fall of the user.
3. The method of claim 1 , wherein said determining said one or more first activity scenarios representative of the user's motion during the time period and prior to the impact experienced by the user comprises determining a magnitude of an acceleration of the user.
4. The method of claim 1 , wherein said determining said one or more first activity scenarios representative of the user's motion during the time period and prior to the impact experienced by the user comprises determining a magnitude of an angular velocity of the user.
5. The method of claim 1 , wherein said determining said one or more first activity scenarios representative of the user's motion during the time period and prior to the impact experienced by the user comprises determining a magnitude of a rate of change of acceleration of the user.
6. The method of claim 1 , further comprising determining a heart rate of the user during at least a portion of the time period and, responsive to said heart rate, determining that the user is experiencing at least one of respiratory distress or dysfunction.
7. The method of claim 1 , further comprising determining that the user has remained in a first position for a first amount of time after said determination that the user has fallen, comparing said first amount of time to a second threshold, and wirelessly transmitting an alert when said first amount of time exceeds said second threshold.
8. The method of claim 1 , wherein the wearable wireless device further comprises an optical sensor, and wherein the method further comprises determining at least one of an oxygen saturation and a pulse rate of the user.
9. The method of claim 1 , wherein the wearable wireless device further comprises an electrocardiogram (ECG) sensor, and wherein the method further comprises generating one or more signals responsive to electrical activity of a heart of the user.
10. A method comprising:
obtaining, from a motion sensor of a wearable device, motion data indicative of motion of a user over a time period when the wearable device is worn by the user;
normalizing the motion data with training data comprising a plurality of fall and non-fall scenarios;
determining, with the wearable device and based on the motion data, an impact experienced by the user during the time period;
determining, with the wearable device and based on the motion data, one or more first activity characteristics associated with the user's motion during the time period and prior to the impact experienced by the user;
determining, with the wearable device and based on the motion data, an amount of rotation of the user during the time period and comparing said amount of rotation to a first threshold;
determining, with the wearable device and based on the motion data, one or more second activity characteristics associated with the user's motion during the time period and after the impact experienced by the user;
determining, with the wearable device, that the user has fallen based on the impact experienced by the user, the one or more first activity characteristics associated with the user's motion during the time period and prior to the impact, said amount of rotation exceeding said first threshold, and the one or more second activity characteristics associated with the user's motion during the time period and after the impact; and
responsive to determining that the user has fallen, generating, with the wearable device, a notification indicating that the user has fallen.
11. The method of claim 10 , wherein said determining said one or more first activity characteristics associated with the user's motion during the time period and prior to the impact experienced by the user comprises determining a starting point of a fall of the user.
12. The method of claim 10 , wherein said determining said one or more first activity characteristics associated with the user's motion during the time period and prior to the impact experienced by the user comprises determining a magnitude of an acceleration of the user.
13. The method of claim 10 , wherein said determining said one or more first activity characteristics associated with the user's motion during the time period and prior to the impact experienced by the user comprises determining a magnitude of an angular velocity of the user.
14. The method of claim 10 , wherein said determining said one or more first activity characteristics associated with the user's motion during the time period and prior to the impact experienced by the user comprises determining a magnitude of a rate of change of acceleration of the user.
15. The method of claim 10 , further comprising determining a heart rate of the user during at least a portion of the time period and, responsive to said heart rate, determining that the user is experiencing at least one of respiratory distress or dysfunction.
16. The method of claim 10 , further comprising determining that the user has remained in a first position for a first amount of time after said determination that the user has fallen, comparing said first amount of time to a second threshold, and wirelessly transmitting an alert when said first amount of time exceeds said second threshold.
17. The method of claim 10 , wherein the wearable device further comprises an optical sensor, and wherein the method further comprises determining at least one of an oxygen saturation and a pulse rate of the user.
18. The method of claim 10 , wherein the wearable device further comprises an electrocardiogram (ECG) sensor, and wherein the method further comprises generating one or more signals responsive to electrical activity of a heart of the user.
19. A wearable device comprising:
one or more processors;
a non-transitory computer readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
obtaining, from a motion sensor of the wearable device, motion data indicative of motion of a user;
normalizing the motion data with training data comprising a plurality of fall and non-fall scenarios;
determining based on the motion data, an impact experienced by the user;
determining, based on the motion data, one or more first activity characteristics associated with the user's motion prior to the impact experienced by the user;
determining, based on the motion data, an amount of rotation of the user and comparing said amount of rotation to a first threshold;
determining, based on the motion data, one or more second activity characteristics associated with the user's motion after the impact experienced by the user;
determining that the user has fallen based on the impact experienced by the user, the one or more first activity characteristics, said amount of rotation exceeding said first threshold, and the one or more second activity characteristics; and
responsive to determining that the user has fallen, generating a notification indicating that the user has fallen.
20. The wearable device of claim 19 , wherein said determining said one or more first activity characteristics comprises determining a starting point of a fall of the user.
21. The wearable device of claim 19 , wherein said determining said one or more first activity characteristics comprises determining at least one of:
a magnitude of an acceleration of the user;
a magnitude of an angular velocity of the user; and
a magnitude of a rate of change of acceleration of the user.
22. The wearable device of claim 19 , further comprising determining a heart rate of the user and, responsive to said heart rate, determining that the user is experiencing at least one of respiratory distress or dysfunction.
23. The wearable device of claim 19 , wherein said operations further comprise determining that the user has remained in a first position for a first amount of time after said determination that the user has fallen, comparing said first amount of time to a second threshold, and wirelessly transmitting an alert when said first amount of time exceeds said second threshold.
24. The wearable device of claim 19 , wherein said operations further comprise determining at least one of an oxygen saturation and a pulse rate of the user with an optical sensor of the wearable device.
25. The wearable device of claim 19 , wherein said operations further comprise generating one or more signals responsive to electrical activity of a heart of the user with an electrocardiogram (ECG) sensor of the wearable device.