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.
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/Scott M. Getzow/ Primary Examiner, Art Unit 3792
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