Collecting posture and activity information to evaluate therapy
A medical device, programmer, or other computing device may determine values of one or more activity and, in some embodiments, posture metrics for each therapy parameter set used by the medical device to deliver therapy. The metric values for a parameter set are determined based on signals generated by the sensors when that therapy parameter set was in use. Activity metric values may be associated with a postural category in addition to a therapy parameter set, and may indicate the duration and intensity of activity within one or more postural categories resulting from delivery of therapy according to a therapy parameter set. A posture metric for a therapy parameter set may indicate the fraction of time spent by the patient in various postures when the medical device used a therapy parameter set. The metric values may be used to evaluate the efficacy of the therapy parameter sets.
1. A method comprising:
monitoring a plurality of signals, each of the signals generated by a sensor as a function of at least one of activity or posture of a patient;
periodically identifying a posture of the patient based on at least one of the signals;
associating each of the identified postures with a therapy parameter set currently used by a medical device to deliver at least one of a movement disorder therapy, psychological disorder therapy, or deep brain stimulation to the patient when the posture is identified;
periodically determining an activity level of the patient based on at least one of the signals;
associating each of the determined activity levels with a therapy parameter set currently used by a medical device to deliver the at least one of the movement disorder therapy, psychological disorder therapy, or deep brain stimulation to the patient when the activity level is determined and a current one of the periodically identified postures; and
for each of a plurality of therapy parameter sets used by the medical device to deliver the at least one of the movement disorder therapy, psychological disorder therapy, or deep brain stimulation to the patient to the patient, determining a value of an activity metric for each of the periodically identified postures associated with the therapy parameter set based on the activity levels associated with the posture and the therapy parameter set.
2. The method of claim 1 , wherein periodically determining values of an activity metric comprises:
periodically determining at least one of a gait asymmetry value, a gait arrhytmicity value, a gait variability value, or a stride length based on the signal; and
associating each of the determined values or lengths with a therapy parameter set currently used by the medical device.
3. The method of claim 1 , wherein periodically determining values of an activity metric comprises:
identifying a gait freeze event based on the signal;
associating the gait freeze event with a current one of the therapy parameter sets; and
determining a value of an activity metric for the current therapy parameter set based on the gait freeze event.
4. The method of claim 1 , further comprising presenting a list of the therapy parameter sets, postures associated with the therapy parameter sets, and activity metric values associated with the postures and therapy parameter sets to a user.
5. The method of claim 4 , further comprising:
determining a value of a posture metric for each of the therapy parameter sets based on the identified postures associated with the therapy parameter sets; and
presenting the posture metric values to the user within the list.
6. The method of claim 1 , further comprising:
conducting a sensitivity analysis of the activity metric for each of the plurality of therapy parameter sets; and
determining a baseline therapy parameter set based on the sensitivity analysis.
7. The method of claim 1 , further comprising:
determining a value of a posture metric for each of the therapy parameter sets based on the identified postures associated with the therapy parameter sets;
conducting a sensitivity analysis of the posture metric for each of the plurality of therapy parameter sets; and
determining a baseline therapy parameter set based on the sensitivity analysis.
8. A medical system comprising:
a plurality of sensors, each of the sensors generating a signal as a function of at least one of activity or posture of a patient;
a medical device that delivers at least one of a movement disorder therapy, psychological disorder therapy, or deep brain stimulation to the patient; and
a processor that monitors the signals generated by the sensors, periodically identifies a posture of the patient based on at least one of the signals, associates each of the identified postures with a therapy parameter set currently used by a medical device when the posture is identified, periodically determines an activity level of the patient based on at least one of the signals, associates each of the determined activity levels with a therapy parameter set currently used by a medical device when the activity level is determined and a current one of the periodically identified postures, and, for each of a plurality of therapy parameter sets used by the medical device to deliver therapy to the patient, determines a value of an activity metric for each of the periodically identified postures associated with the therapy parameter set based on the activity levels associated with the posture and the therapy parameter set.
9. The medical system of claim 8 , wherein the processor:
periodically determines at least one of a gait asymmetry value, a gait arrhytmicity value, a gait variability value, or a stride length based on the signal; and
associates each of the determined values or lengths with a therapy parameter set currently used by the medical device.
10. The medical system of claim 8 , wherein the processor:
identifies a gait freeze event based on the signal;
associates the gait freeze event with a current one of the therapy parameter sets; and
determines a value of an activity metric for the current therapy parameter set based on the gait freeze event.
11. The medical system of claim 8 , further comprising a user interface that presents a list of the therapy parameter sets, postures associated with the therapy parameter sets, and activity metric values associated with the postures and therapy parameter sets to a user.
12. The medical system of claim 11 , wherein:
the processor determines a value of a posture metric for each of the therapy parameter sets based on the identified postures associated with the therapy parameter sets; and
the user interface presents the posture metric values to the user within the list.
13. The medical system of claim 8 , wherein the processor:
conducts a sensitivity analysis of the activity metric for each of the plurality of therapy parameter sets; and
determines a baseline therapy parameter set based on the sensitivity analysis.
14. The medical system of claim 8 , wherein the processor:
determines a value of a posture metric for each of the therapy parameter sets based on the identified postures associated with the therapy parameter sets;
conducts a sensitivity analysis of the posture metric for each of the plurality of therapy parameter sets; and
determines a baseline therapy parameter set based on the sensitivity analysis.
15. A non-transitory computer-readable medium comprising instructions that cause a processor to:
monitor a plurality of signals, each of the signals generated by a sensor as a function of at least one of activity or posture of a patient;
periodically identify a posture of the patient based on at least one of the signals;
associate each of the identified postures with a therapy parameter set currently used by a medical device to deliver at least one of a movement disorder therapy, psychological disorder therapy, or deep brain stimulation to the patient when the posture is identified;
periodically determine an activity level of the patient based on at least one of the signals;
associate each of the determined activity levels with a therapy parameter set currently used by a medical device to deliver the at least one of the movement disorder therapy, psychological disorder therapy, or deep brain stimulation to the patient when the activity level is determined and a current one of the periodically identified postures; and
for each of a plurality of therapy parameter sets used by the medical device to deliver the at least one of the movement disorder therapy, psychological disorder therapy, or deep brain stimulation to the patient to the patient, determine a value of an activity metric for each of the periodically identified postures associated with the therapy parameter set based on the activity levels associated with the posture and the therapy parameter set.
16. The non-transitory computer-readable medium of claim 15 , wherein the instructions that cause the processor to periodically determine values of an activity metric further comprise instructions that cause the processor to:
periodically determine at least one of a gait asymmetry value, a gait arrhytmicity value, a gait variability value, or a stride length based on the signal; and
associate each of the determined values or lengths with a therapy parameter set currently used by the medical device.
17. The non-transitory computer-readable medium of claim 15 , wherein the instructions that cause the processor to periodically determine values of an activity metric further comprise instructions that cause the processor to:
identify a gait freeze event based on the signal;
associate the gait freeze event with a current one of the therapy parameter sets; and
determine a value of an activity metric for the current therapy parameter set based on the gait freeze event.
18. The non-transitory computer-readable medium of claim 15 , further comprising instructions that cause the processor to present a list of the therapy parameter sets, postures associated with the therapy parameter sets, and activity metric values associated with the postures and therapy parameter sets to a user.
19. The non-transitory computer-readable medium of claim 18 , further comprising instructions that cause the processor to:
determine a value of a posture metric for each of the therapy parameter sets based on the identified postures associated with the therapy parameter sets; and
present the posture metric values to the user within the list.
20. The non-transitory computer-readable medium of claim 15 , further comprising instructions that cause the processor to:
conduct a sensitivity analysis of the activity metric for each of the plurality of therapy parameter sets; and
determine a baseline therapy parameter set based on the sensitivity analysis.
21. The non-transitory computer-readable medium of claim 15 , further comprising instructions that cause the processor to:
determine a value of a posture metric for each of the therapy parameter sets based on the identified postures associated with the therapy parameter sets;
conduct a sensitivity analysis of the posture metric for each of the plurality of therapy parameter sets; and
determine a baseline therapy parameter set based on the sensitivity analysis.