Systems and associated methods for use of patterns in processing on mobile monitoring device
An arrangement may include a first system provided by a mobile device for processing physiological data representative of a beating heart. The mobile device may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the mobile device, and for sending the at least one new pattern to the mobile device. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.
1. A system comprising:
circuitry to receive information from a mobile device including physiological data related to a patient;
circuitry to analyze the physiological data using at least one pattern, defined as a detected pattern, to detect a notable finding in the physiological data, wherein the detected pattern comprises a rule that has a set of conditions and an action to perform if the set of conditions is met;
circuitry to determine at least one pattern to send to the mobile device, defined as a determined pattern, based on the analysis of the physiological data; and
circuitry to send the determined pattern to the mobile device.
2. The system of claim 1 wherein the determined pattern includes the parameters of a mathematical model.
3. The system of claim 1 wherein the determined pattern includes a template derived from historical physiological data.
4. The system of claim 1 wherein the circuitry to analyze the physiological data includes circuitry to compare the analyzed physiological data to templates from categories of physiological events in order to classify the physiological data.
5. The system of claim 1 wherein sending the determined pattern includes sending software.
6. The system of claim 1 wherein the detected pattern comprises a first QRST template representative of a supine subject.
7. The system of claim 1 wherein the detected pattern comprises a second QRST template representative of an upright subject.
8. The system of claim 1 wherein the determined pattern is further based on the analysis of patient characteristics selected from the group consisting of clinical information for the patient and demographic information for the patient; and wherein the determined pattern is sent to initialize the mobile device.
9. The system of claim 1 wherein the determined pattern comprises software for execution by the mobile device.
10. The system of claim 1 wherein the rule is selected from the group consisting of a classification rule, a processing rule, and a set of rules generated for a specific condition.
11. An arrangement comprising:
a first system provided by a mobile device for processing physiological data related to a patient, the mobile device adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system;
wherein the second system is adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the mobile device, and for sending the at least one new pattern to the mobile device; and
wherein the at least one new pattern comprises a rule that includes a set of conditions and an action to perform if the set of conditions is met.
12. The arrangement according to claim 11 wherein the at least one new pattern includes parameters of a mathematical model.
13. The arrangement according to claim 11 wherein the process for determining the at least one new pattern includes deriving a template from historical physiological data.
14. The arrangement according to claim 11 wherein the process to send the at least one new pattern includes sending software to the mobile device.
15. The arrangement according to claim 11 wherein the process for determining the at least one new pattern includes selecting user characteristics from at least one of clinical information for the patient and demographic information for the patient; and wherein the process to send the at least one new pattern includes sending the user characteristics to initialize the mobile device.
16. A method comprising:
receiving a first notable finding from a mobile device, wherein the mobile device is configured to analyze physiological data related to a patient;
analyzing the first notable finding using a first pattern to detect a second notable finding;
determining a second pattern to send to the mobile device based on the second notable finding; and
sending the second pattern to the mobile device.
17. The method according to claim 16 wherein the second pattern includes parameters of a mathematical model.
18. The method according to claim 16 further comprising:
comparing the analyzed physiological data to templates from categories of physiological events in order to determine the first notable finding.
19. The method according to claim 16 wherein the second pattern comprises a rule, the method further comprising generating the rule for at least one of a specific condition and the patient.
20. The method according to claim 16 wherein the second pattern includes a template derived from historical physiological data.
21. The method according to claim 16 wherein the second pattern includes software.
22. The method according to claim 16 wherein the second pattern includes user characteristics selected from the group consisting of clinical information for the patient and demographic information for the patient, and wherein sending the second pattern further comprises sending the user characteristics to initialize the mobile device.