Prosecution Insights
Last updated: April 19, 2026
Application No. 18/562,735

DYNAMIC AND MODULAR CARDIAC EVENT DETECTION

Non-Final OA §101
Filed
Nov 20, 2023
Examiner
GETZOW, SCOTT M
Art Unit
3792
Tech Center
3700 — Mechanical Engineering & Manufacturing
Assignee
Medtronic, Inc.
OA Round
2 (Non-Final)
80%
Grant Probability
Favorable
2-3
OA Rounds
3y 0m
To Grant
81%
With Interview

Examiner Intelligence

Grants 80% — above average
80%
Career Allow Rate
864 granted / 1073 resolved
+10.5% vs TC avg
Minimal +0% lift
Without
With
+0.2%
Interview Lift
resolved cases with interview
Typical timeline
3y 0m
Avg Prosecution
41 currently pending
Career history
1114
Total Applications
across all art units

Statute-Specific Performance

§101
2.6%
-37.4% vs TC avg
§103
49.9%
+9.9% vs TC avg
§102
14.6%
-25.4% vs TC avg
§112
14.2%
-25.8% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1073 resolved cases

Office Action

§101
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Response to Arguments The claims are considered to overcome the applied prior art. Haddad (2020/0357517), as mentioned in the office action, teaches all of the subject matter including training machine learning models. However, Haddad is silent as to masked component models for at least one cardiac event type other than a detected cardiac event type. Since a new rejection has been made, this office action is not made final. Claim Rejections - 35 USC § 101 Claims 1-20 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. Step 1 Claims 1-17 are for a system, and claims 18-20 are for a computer readable medium. Thus, the claims are for statutory subject matter. Step 2a, prong 1 Claims 1,13,18 include a modular machine learning architecture. This is considered to be an abstract idea in the form of mathematical algorithms. That is, the machine learning architecture is a series of mathematical steps performed by a processor. Step 2a, prong 2 Claim 1 also includes sensors and sensing circuitry, as well as a processor that generates a display output. These elements are considered to be either for data gathering, for use with the abstract idea, or extra solution activity. Thus, they don’t integrate the abstract idea into a practical application since they do not apply the abstract idea to affect a particular treatment, or improve the functioning of a technology. Claim 2 includes various IMDs. However, they merely are used to apply the abstract idea. Claims 3 includes further recitation of sensors and processing circuitry which merely are used to practice the abstract idea. Claims 4-7 merely provide further redtails of the modular machine learning architecture, but do not add structure that integrate the abstract idea into a practical application. Claims 8-11 merely give further details re the processing circuitry, and as such do not add a limitation that integrates the abstract idea into a practical application. Claim 12 includes communication circuitry and a processor. Both of which are merely used to facilitate the abstract idea. Claims 13-17 include further details of the processing circuitry, modular machine learning architecture. However, there is no limitation that integrate the abstract idea into a practical application. Claim 18 includes processing circuitry for implementing the abstract idea, and generating an output. As such, these elements do not integrate the abstract idea into a practical application. Claims 19,20 merely provide further details of the workings of the abstract idea, and as such do not add limitations that integrate the abstract idea into a practical application. Step 2b The claims include sensors, sensing circuitry, processor, display and communication circuitry. These elements are all considered to be well understood, routine and conventional in the art either by themselves of when considered as a whole with the abstract idea. For example, Cheng et al (2022/0398470), submitted by applicants, teaches sensing circuitry, processor, sensors and display; see at least figures 2,4. Also, Musgrove et al (2020/0357518), submitted by applicant, teaches communication circuitry, sensors, sensing circuitry, processor, see figure 3, and figure 4 shows a user interface display. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Scott M. Getzow whose telephone number is (571)272-4946. The examiner can normally be reached M-F 9-5. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Benjamin Klein can be reached at 571-270-5213. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /Scott M. Getzow/ Primary Examiner, Art Unit 3792
Read full office action

Prosecution Timeline

Nov 20, 2023
Application Filed
Oct 03, 2025
Non-Final Rejection — §101
Dec 23, 2025
Applicant Interview (Telephonic)
Dec 23, 2025
Examiner Interview Summary
Jan 06, 2026
Response Filed
Apr 02, 2026
Non-Final Rejection — §101 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

2-3
Expected OA Rounds
80%
Grant Probability
81%
With Interview (+0.2%)
3y 0m
Median Time to Grant
Moderate
PTA Risk
Based on 1073 resolved cases by this examiner. Grant probability derived from career allow rate.

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