Systems and methods for selecting accelerometer data to store on computer-readable media
Systems and methods select accelerometer data to store on computer-readable media. Systems may comprise an accelerometer, a processor, and a computer-readable medium storing instructions executed by the processor. Accelerometer data from a critical time period are stored on a computer readable medium if an activity ratio for the critical time period exceeds an activity threshold. The numerator of the activity ratio comprises a count of data windows in the critical time period that satisfy one or more count criteria and the denominator comprises the total number of data windows in the critical time period.
1. A system comprising:
an accelerometer;
a processor communicatively coupled to the accelerometer; and
a non-transitory computer readable medium communicatively coupled to the processor, the non-transitory computer readable medium storing instructions controlling the processor to:
receive readings from the accelerometer;
determine a subset of the readings from the accelerometer to store on the non-transitory computer-readable medium based on instructions controlling the processor to:
group readings of the accelerometer into data windows, each of the data windows corresponding to a window time period, the readings of each of the data windows generated during the respective window time period, each window time period corresponding to a different time period;
count a number of data windows overlapping with a first time period and comprising a reading exceeding a count threshold;
determine an activity ratio, a numerator of the activity ratio comprising the number of counted data windows overlapping with the first time period and a denominator of the activity ratio comprising a count of each of the data windows overlapping with the first time period; and
if the activity ratio exceeds an activity threshold:
generate the subset of the readings using the readings generated during the first time period; and
store the subset of the readings on the non-transitory computer readable medium.
2. The system of claim 1 in which the window time period has a duration greater than or equal to one quarter (0.25) second and less than or equal to one and a half (1.5) seconds.
3. The system of claim 1 in which the count threshold is greater than or equal to 0.2 g and less than or equal to 0.8 g.
4. The system of claim 1 , wherein the first time period overlaps with a critical time period, and wherein the critical time period is greater than or equal to 10 seconds and less than or equal to five minutes.
5. The system of claim 1 in which the activity threshold is greater than or equal to 0.2 and less than or equal to 1.
6. The system of claim 4 in which a first window time period overlapping with the critical time period overlaps a second window time period occurring during the critical time period.
7. The system of claim 1 in which the processor analyzes the readings generated during the first time period to determine one or more gait parameters.
8. The system of claim 7 in which the one or more gait parameters comprise at least one of: step duration, stride duration, step length, stride length, step width, stride width, lateral sway, single limb support time, or double limb support time.
9. A system comprising:
an accelerometer;
a processor communicatively coupled to the accelerometer; and
a non-transitory computer readable medium communicatively coupled to the processor, the non-transitory computer readable medium storing instructions controlling the processor to:
receive readings from the accelerometer;
determine a subset of the readings from the accelerometer to store on the non-transitory computer-readable medium based on instructions controlling the processor to:
group readings of the accelerometer into data windows, each of the data windows corresponding to a window time period, the readings of each of the data windows generated during the respective window time period;
determine a window value for each of the data windows overlapping with a first time period, the window value comprising a measure of central tendency of the readings of the each of the data windows;
identify one or more local maxima in the window values of windows overlapping with the first time period, each of the one or more local maxima called a peak;
count a number of peaks exceeding a count threshold and occurring during the first time period, each of the peaks exceeding the count threshold called a counted peak;
determine an activity ratio, a numerator of the activity ratio comprising a number of counted peaks occurring during the first time period and a denominator of the activity ratio comprising a number of all peaks occurring during the first time period; and
generate the subset of the readings using the readings generated during the first time period; and
store the subset of the readings on the non-transitory computer readable medium if the activity ratio exceeds an activity threshold.
10. The system of claim 9 in which the window time period has a duration greater than or equal to one quarter (0.25) second and less than or equal to one and a half (1.5) seconds.
11. The system of claim 9 in which the count threshold is greater than or equal to 0.2 g and less than or equal to 0.8 g.
12. The system of claim 9 , wherein the first time period overlaps with a critical time period, and wherein the critical time period is greater than or equal to 10 seconds and less than or equal to five minutes.
13. The system of claim 9 in which the activity threshold is greater than or equal to 0.2 and less than or equal to 1.
14. The system of claim 12 in which a first window time period overlapping with the critical time period overlaps a second window time period occurring during the critical time period.
15. The system of claim 9 in which the processor analyzes the readings generated during the first time period to determine one or more gait parameters.
16. The system of claim 15 in which the one or more gait parameters comprise at least one of: step duration, stride duration, step length, stride length, step width, stride width, lateral sway, single limb support time, or double limb support time.
17. A processor-implemented method for selecting readings of an accelerometer to store on a non-transitory computer-readable medium, the method comprising:
receiving readings from the accelerometer;
determining a subset of the readings from the accelerometer to store on a non-transitory computer-readable medium comprising:
grouping readings into data windows, each of the data windows corresponding to a window time period, the readings of each of the data windows generated during the respective window time period;
determining a window value for each of the data windows overlapping with a first time period, the window value comprising a measure of central tendency of the readings of the each of the data windows;
identifying one or more local maxima in the window values of windows overlapping with the first time period, each of the one or more local maxima called a peak;
counting a number of peaks exceeding a count threshold and occurring during the first time period, each of the peaks exceeding the count threshold called a counted peak;
determining an activity ratio, a numerator of the activity ratio comprising the number of counted peaks occurring during the first time period and a denominator of the activity ratio comprising a count of each peak occurring during the first time period; and
generating the subset of the readings using the readings generated during the first time period; and
storing the subset of the readings on the non-transitory computer readable medium if the activity ratio exceeds an activity threshold.
18. The method of claim 17 in which the measure of central tendency is a weighted average.
19. The method of claim 17 comprising analyzing the readings generated during the first time period to determine one or more gait parameters.
20. A method comprising:
receiving accelerometer readings from an accelerometer;
iteratively, over a first duration, determining subsets of accelerometer readings to store in a non-transitory computer-readable medium comprising and storing the determined subsets comprising:
grouping accelerometer readings into data windows, each of the data windows corresponding to a window time period, the readings of each of the data windows generated during the respective window time period, each window time period corresponding to a different time period;
defining successive time periods having at least one data window;
for each time period:
counting numbers of data windows of the respective time period having accelerometer readings exceeding a count threshold;
determining an activity ratio for the respective time period, a numerator of the activity ratio comprising the number of counted data windows within the respective time period and a denominator of the activity ratio comprising a count of each of the data windows within the respective time period;
if the activity ratio exceeds an activity threshold:
generating a subset of accelerometer readings for the respective time period comprising accelerometer readings within the data windows of the respective time period;
storing the subset of accelerometer readings to the non-transitory computer-readable medium;
otherwise, advancing to the next time period.
21. The method of claim 20 further comprising, for each time period, determining one or more gait parameters based on the accelerometer readings during the respective time period.
22. The system of claim 1 , wherein the non-transitory computer readable medium storing instructions further controlling the processor to:
determine one or more gait parameters based on the subset of the readings;
receive second readings from the accelerometer;
determine a second subset of the second readings from the accelerometer to store on the non-transitory computer-readable medium based on instructions controlling the processor to:
group seconds readings of the accelerometer into second data windows, each of the second data windows corresponding to a window time period, the readings of each of the second data windows generated during the respective window time period, each window time period corresponding to a different time period;
count a number of second data windows overlapping with a second time period and comprising a reading exceeding a count threshold;
determine a second activity ratio, a numerator of the second activity ratio comprising the number of counted second data windows overlapping with the second time period and a denominator of the second activity ratio comprising a count of each of the second data windows overlapping with the second time period; and
if the second activity ratio exceeds the activity threshold:
generate the second subset of the second readings using the second readings generated during the second time period; and
store the second subset of the second readings on the non-transitory computer readable medium; and
determine one or more second gait parameters based on the second subset of the second readings; and
determine a characteristic of a movement of a person based on the first and second gait parameters.