Patent Application 17337584 - LOCAL NOISE IDENTIFICATION USING COHERENT - Rejection

Patent Application 17337584 - LOCAL NOISE IDENTIFICATION USING COHERENT

Title: LOCAL NOISE IDENTIFICATION USING COHERENT ALGORITHM

Application Information

• Invention Title: LOCAL NOISE IDENTIFICATION USING COHERENT ALGORITHM
• Application Number: 17337584
• Submission Date: 2025-05-21T00:00:00.000Z
• Effective Filing Date: 2021-06-03T00:00:00.000Z
• Filing Date: 2021-06-03T00:00:00.000Z
• National Class: 703
• National Sub-Class: 011000
• Examiner Employee Number: 70013
• Art Unit: 3792
• Tech Center: 3700

Rejection Summary

• 102 Rejections: 1
• 103 Rejections: 1

Cited Patents

No patents were cited in this rejection.

Office Action Text

    DETAILED ACTION
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 .

Claim Rejections - 35 USC § 101
35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.


Section 33(a) of the America Invents Act reads as follows:  
Notwithstanding any other provision of law, no patent may issue on a claim directed to or encompassing a human organism.  

Claim 4 is rejected under 35 U.S.C. 101 and section 33(a) of the America Invents Act as being directed to or encompassing a human organism.  See also Animals - Patentability, 1077 Off. Gaz. Pat. Office 24 (April 21, 1987) (indicating that human organisms are excluded from the scope of patentable subject matter under 35 U.S.C. 101).  Claim 1 recites a system. Claim 4 recites a catheter and a human by claiming that the ablation catheter is located at the new arrhythmia location. Claiming the human body is impermissible under 35 USC 101. 

Claim Rejections - 35 USC § 102
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –

(a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention.

(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.

Claim(s) 1-6 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Yang et al. US 2019/090774.
A system for automatically detecting arrhythmia locations, comprising: a plurality of body surface electrodes configured to sense electrocardiogram (ECG) data (paragraph [0062)): a display (paragraph [0062)); and a processor comprising a neural network (paragraph [0062]; figure 7) and configured to: receive a plurality of historical ECG data and corresponding arrhythmia locations determined based on each of the plurality of historical ECG data: train a learning system based on the plurality of historical EGG data (paragraphs [0060] and [0044]: "patient-specific lead field") and corresponding arrhythmia locations (paragraph [O060], "PVC"; where the PVC is a premature ventricular contraction; i.e. a ventricular arrhythmia: paragraph [0005], See also paragraph [O033); generate a model based on the learning system (paragraph [0063]); receive new ECG data from the plurality of body surface electrodes (paragraph [O063]); provide a new arrhythmia location based on the new ECG data and the model (paragraph [0063]); and render the new arrhythmia location on the display (paragraph [O063]). 
For claims 2,6: See paragraph [0044]
For Claim 3: See paragraph [0006].
For Claim 4: the catheter of Yang et al., paragraph [0006] is configured and capable of being used at such a location.
Claim 5: see paragraph [0029].

Claim Rejections - 35 USC § 103
The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action:
A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made.

Claim(s) 1, 7-10 is/are rejected under 35 U.S.C. 103 as being unpatentable over GYAWALI PRASHNNA K ET AL: "Automatic coordinate prediction of the exit of ventricular tachycardia from 12-lead electrocardiogram’, 2017 COMPUTING IN CARDIOLOGY (CINC), CCAL, 24 September 2017 (2017-09-24), pages 1-4.
A system for automatically detecting arrhythmia locations, comprising: a plurality of body surface electrodes configured to sense electrocardiogram (ECG) data: a display; and a processor comprising a neural network receiving a plurality of historical ECG data and corresponding arrhythmia locations determined based on each of the plurality of historical ECG data (section 2. "Methods"}; training a learning system based on a first set of historical ECG data (“training set") from the plurality of historical ECG data and corresponding arrhythmia locations such that combinations of ECG attributes from the EGG are correlated with a first set of the corresponding arrhythmia locations (section 2. “Methods”; section 3.2 “Model training"); Updating the learning system based on a second set (“clean training set") of historical ECG data from the plurality of historical ECG data and corresponding arrhythmia locations such that the combinations of ECG attributes from the ECG are correlated with a second set of corresponding arrhythmia locations (section 3.2 "Model training"); and generating a model based on the first set of the corresponding arrhythmia locations and the second set of corresponding arrhythmia locations {section 3.2 “Model training”; "Abstract”).
GYAWALI fails to disclose the step to "render the new arrhythmia location on the display”. Such visualization methods, however, are considered common practice for the skilled person.
For claim 7: see section 2. "Methods"
For claims 8 - 10: See section 3.2 “Model training”.
 
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/MARK W. BOCKELMAN/           Primary Examiner, Art Unit 3792