Determining a time period a person is in bed
A method and wireless sensor device for determining a time period a person is in bed. In one aspect, a method includes utilizing a wireless sensor device to obtain a plurality of acceleration samples in relation to at least one axis associated with a person's body over a predetermined time window. The method also includes calculating a polar angle for each acceleration sample within the predetermined time window. The method also includes calculating a fraction of an amount of time within the predetermined time window that the polar angle is greater than an angle threshold that indicates that the person is lying down, where if the fraction is greater than a predetermined threshold, the predetermined time window is marked as a period the person is lying down.
1. A computer-implemented method for determining a time period a person is in bed, the method comprising:
utilizing a wireless sensor device to obtain a plurality of acceleration samples in relation to at least one axis associated with a person's body over a predetermined time window;
calculating a polar angle for each acceleration sample within the predetermined time window; and
calculating a fraction of an amount of time within the predetermined time window that the polar angle is greater than an angle threshold that indicates that the person is lying down, wherein if the fraction is greater than a predetermined angle threshold, the predetermined time window is marked as a period the person is lying down.
2. The method of claim 1 , wherein the plurality of acceleration samples are calibrated.
3. The method of claim 1 , the obtaining of the plurality of acceleration samples comprises:
obtaining raw acceleration samples in relation to the at least one axis; and
determining the plurality acceleration samples based on calibrated raw acceleration samples.
4. The method of claim 1 , wherein the at least one axis includes a plurality of axes in relation to the person's body.
5. The method of claim 1 , wherein the at least one axis includes one or more of an X-axis, a Y-axis, and a Z-axis in relation to the person's body.
6. The method of claim 1 , wherein the at least one axis includes an X-axis, a Y-axis, and a Z-axis.
7. The method of claim 1 , wherein the at least one axis includes a mediolateral axis, a vertical axis, and an anteroposterior axis.
8. The method of claim 1 , wherein the wireless sensor device is at least one of a triaxial accelerometer, a uni-axial accelerometers, a bi-axial accelerometers, a gyroscope, and a pressure sensor.
9. The method of claim 1 , wherein the predetermined time window is a bed period having a bed entry time and a bed exit time.
10. The method of claim 1 , wherein the predetermined time window is a first bed period, wherein the method further comprises combining the first bed period with a second bed period if an out-of-bed period between the first bed period and second bed period meets a combine threshold.
11. A wireless sensor device for determining a time period a person is in bed, comprising:
a processor; and
a memory device coupled to the processor, wherein the wireless sensor device includes an application that, when executed by the processor, causes the processor to perform operations comprising:
obtaining a plurality of acceleration samples in relation to at least one axis associated with a person's body over a predetermined time window utilizing a wireless sensor device to obtain the plurality of acceleration samples;
calculating a polar angle for each acceleration sample within the predetermined time window; and
calculating a fraction of an amount of time within the predetermined time window that the polar angle is greater than an angle threshold that indicates that the person is lying down, and wherein if the fraction is greater than a predetermined angle threshold, the predetermined time window is marked as a period the person is lying down.
12. The wireless sensor device of claim 11 , wherein the plurality of acceleration samples are calibrated.
13. The wireless sensor device of claim 11 , the obtaining of the plurality of acceleration samples comprises:
obtaining raw acceleration samples in relation to the at least one axis; and
determining the plurality acceleration samples based on calibrated raw acceleration samples.
14. The wireless sensor device of claim 11 , wherein the at least one axis includes a plurality of axes in relation to the person's body.
15. The wireless sensor device of claim 11 , wherein the at least one axis includes one or more of an X-axis, a Y-axis, and a Z-axis in relation to the person's body.
16. The wireless sensor device of claim 11 , wherein the at least one axis includes an X-axis, a Y-axis, and a Z-axis.
17. The wireless sensor device of claim 11 , wherein the at least one axis includes a mediolateral axis, a vertical axis, and an anteroposterior axis.
18. The wireless sensor device of claim 11 , wherein the wireless sensor device is at least one of a triaxial accelerometer, a uni-axial accelerometers, a bi-axial accelerometers, a gyroscope, and a pressure sensor.
19. The wireless sensor device of claim 11 , wherein the predetermined time window is a bed period having a bed entry time and a bed exit time.
20. The wireless sensor device of claim 11 , wherein the predetermined time window is a first bed period, wherein the method further comprises combining the first bed period with a second bed period if an out-of-bed period between the first bed period and second bed period meets a combine threshold.