Abstract: This disclosure relates generally to patient monitoring, and more particularly to a method and system for diagnosing a medical event. In one embodiment, a method of diagnosing a medical event is disclosed. The method comprises: monitoring at least one clinical parameter associated with a patient; detecting an occurrence of a medical event based on one or more of the at least one clinical parameter deviating from one or more predefined thresholds; identifying a region of interest around the medical event, wherein the region of interest comprises one or more values of the at least one clinical parameters along a time series within a predefined time window and having a predefined pattern; and diagnosing the medical event by looking up the one or more values of the region of interest in a database including a predefined mapping between values of one or more clinical parameters and one or more potential medical conditions.
CLIAMS:We claim:
1. A method of diagnosing a medical event, the method comprising:
monitoring at least one clinical parameter associated with a patient;
detecting an occurrence of the medical event based on one or more of the at least one clinical parameter deviating from one or more predefined thresholds;
identifying a region of interest around the medical event, wherein the region of interest comprises one or more values of the at least one clinical parameters along a time series within a predefined time window and a predefined pattern; and
diagnosing the medical event by looking up the one or more values of the region of interest in a database comprising a predefined mapping between values of one or more clinical parameters and one or more potential medical conditions.
2. The method of claim 1, wherein the at least one clinical parameter associated with the patient comprises at least one of an electrocardiogram (ECG), blood pressure, heart rate, heart rate variability, respiration rate, temperature, position of the patient, activity of the patient, or infusion rate.
3. The method of claim 1 further comprising displaying at least one of the at least one clinical parameter, the medical event, the region of interest, or the one or more potential medical conditions on a display.
4. The method of claim 1, wherein the predefined time window is defined based on historic medical condition of the patient.
5. The method of claim 1, wherein the predefined time window is defined by at least one of a caregiver or a doctor.
6. An apparatus for diagnosing a medical event, comprising:
a processor; and
a memory disposed in communication with the processor and storing processor-executable instructions, the instructions comprising instructions to:
monitor at least one clinical parameter associated with a patient;
detect an occurrence of the medical event based on one or more of the at least one clinical parameter deviating from one or more predefined thresholds;
identify a region of interest around the medical event, wherein the region of interest comprises one or more values of the at least one clinical parameters along a time series within a predefined time window and a predefined pattern; and
diagnose the medical event by looking up the one or more values of the region of interest in a database comprising a predefined mapping between values of one or more clinical parameters and one or more potential medical conditions.
7. The apparatus of claim 6, wherein the at least one clinical parameter associated with the patient comprises at least one of an electrocardiogram (ECG), blood pressure, heart rate, respiration rate, temperature, position of the patient, or activity of the patient.
8. The apparatus of claim 6 further comprising a display for displaying at least one of the at least one clinical parameter, the medical event, the region of interest, or the one or more potential medical conditions.
9. The apparatus of claim 6, wherein the predefined time window is defined based on historic medical condition of the patient.
10. The apparatus of claim 6, wherein the predefined time window is defined by at least one of a caregiver or a doctor.
11. A non-transitory computer-readable storage medium storing instructions which when executed by a processor enable the processor to implement a method of diagnosing a medical event, the method comprising:
monitoring at least one clinical parameter associated with a patient;
detecting an occurrence of the medical event based on one or more of the at least one clinical parameter deviating from one or more predefined thresholds;
identifying a region of interest around the medical event, wherein the region of interest comprises one or more values of the at least one clinical parameters along a time series within a predefined time window and a predefined pattern; and
diagnosing the medical event by looking up the one or more values of the region of interest in a database comprising a mapping between values of one or more clinical parameters and one or more potential medical conditions.
12. The non-transitory computer-readable storage medium of claim 11, wherein the at least one clinical parameter associated with the patient comprises at least one of an electrocardiogram (ECG), blood pressure, heart rate, respiration rate, temperature, position of the patient, or activity of the patient.
13. The non-transitory computer-readable storage medium of claim 11, further comprising instructions to display at least one of the at least one clinical parameter, the medical event, the region of interest, or the one or more potential medical conditions on a patient monitoring system.
14. The non-transitory computer-readable storage medium of claim 11, wherein the predefined time window is defined based on historic medical condition of the patient
15. The non-transitory computer-readable storage medium of claim 11, wherein the predefined time window is defined by at least one of a caregiver or a doctor.
Dated this 27th day of January, 2014
R Ramya Rao
Of K&S Partners
Agent for the Applicant
,TagSPECI:TECHNICAL FIELD
This disclosure relates generally to patient monitoring, and more particularly to a method and system for diagnosing a medical event.
| # | Name | Date |
|---|---|---|
| 1 | Form 1_As Filed_27-01-2014.pdf | 2014-01-27 |
| 2 | Form 18_Normal Request_27-01-2014.pdf | 2014-01-27 |
| 3 | IP26173-spec.pdf | 2014-01-31 |
| 4 | IP26173-drawings.pdf | 2014-01-31 |
| 5 | FORM 5.pdf | 2014-01-31 |
| 6 | FORM 3.pdf | 2014-01-31 |
| 7 | Form-9(Online).pdf | 2014-02-03 |
| 8 | 322-CHE-2014-FER.pdf | 2019-10-10 |
| 9 | 322-CHE-2014-OTHERS [06-04-2020(online)].pdf | 2020-04-06 |
| 10 | 322-CHE-2014-FER_SER_REPLY [06-04-2020(online)].pdf | 2020-04-06 |
| 11 | 322-CHE-2014-DRAWING [06-04-2020(online)].pdf | 2020-04-06 |
| 12 | 322-CHE-2014-CORRESPONDENCE [06-04-2020(online)].pdf | 2020-04-06 |
| 13 | 322-CHE-2014-COMPLETE SPECIFICATION [06-04-2020(online)].pdf | 2020-04-06 |
| 14 | 322-CHE-2014-CLAIMS [06-04-2020(online)].pdf | 2020-04-06 |
| 15 | 322-CHE-2014-ABSTRACT [06-04-2020(online)].pdf | 2020-04-06 |
| 16 | 322-CHE-2014-US(14)-HearingNotice-(HearingDate-07-03-2022).pdf | 2022-02-11 |
| 17 | 322-CHE-2014-POA [28-02-2022(online)].pdf | 2022-02-28 |
| 18 | 322-CHE-2014-FORM 13 [28-02-2022(online)].pdf | 2022-02-28 |
| 19 | 322-CHE-2014-Correspondence to notify the Controller [28-02-2022(online)].pdf | 2022-02-28 |
| 20 | 322-CHE-2014-AMENDED DOCUMENTS [28-02-2022(online)].pdf | 2022-02-28 |
| 21 | 322-CHE-2014-Written submissions and relevant documents [22-03-2022(online)].pdf | 2022-03-22 |
| 22 | 322-CHE-2014-FORM-26 [22-03-2022(online)].pdf | 2022-03-22 |
| 23 | 322-CHE-2014-PatentCertificate27-06-2022.pdf | 2022-06-27 |
| 24 | 322-CHE-2014-IntimationOfGrant27-06-2022.pdf | 2022-06-27 |
| 1 | searchstrategy_04-10-2019.pdf |