`
`
`
`UNITED STATES DEPARTMENT OF COMMERCE
`United States Patent and Trademark Office
`Address: COMMISSIONER FOR PATENTS
`PO. Box 1450
`Alexandria, Virginia 2231371450
`www.uspto.gov
`
`16/068,117
`
`07/04/2018
`
`Takashi NISHIYAMA
`
`NIIPPOZZSWOUS
`
`1004
`
`MARK D. SARALINO (PAN)
`RENNER, OTTO, BOISSELLE & SKLAR, LLP
`1621 EUCLID AVENUE
`19TH FLOOR
`CLEVELAND, OH 44115
`
`MORALES JON ERIC C
`
`ART UNIT
`3792
`
`PAPER NUMBER
`
`NOTIFICATION DATE
`
`DELIVERY MODE
`
`05/ 1 9/2020
`
`ELECTRONIC
`
`Please find below and/or attached an Office communication concerning this application or proceeding.
`
`The time period for reply, if any, is set in the attached communication.
`
`Notice of the Office communication was sent electronically on above—indicated "Notification Date" to the
`
`following e—mail address(es):
`
`ipdoeket@rennerotto.eom
`
`PTOL-90A (Rev. 04/07)
`
`
`
`0/7709 A0170” Summary
`
`Application No.
`16/068,117
`Examiner
`JON ERIC 0 MORALES
`
`Applicant(s)
`NISHIYAMA etal.
`Art Unit
`AIA (FITF) Status
`3792
`Yes
`
`- The MAILING DA TE of this communication appears on the cover sheet wit/7 the correspondence address -
`Period for Reply
`
`A SHORTENED STATUTORY PERIOD FOR REPLY IS SET TO EXPIRE g MONTHS FROM THE MAILING
`DATE OF THIS COMMUNICATION.
`Extensions of time may be available under the provisions of 37 CFR 1.136(a). In no event, however, may a reply be timely filed after SIX (6) MONTHS from the mailing
`date of this communication.
`|f NO period for reply is specified above, the maximum statutory period will apply and will expire SIX (6) MONTHS from the mailing date of this communication.
`-
`- Failure to reply within the set or extended period for reply will, by statute, cause the application to become ABANDONED (35 U.S.C. § 133).
`Any reply received by the Office later than three months after the mailing date of this communication, even if timely filed, may reduce any earned patent term
`adjustment. See 37 CFR 1.704(b).
`
`Status
`
`1). Responsive to communication(s) filed on 3/3/2020.
`CI A declaration(s)/affidavit(s) under 37 CFR 1.130(b) was/were filed on
`
`2a). This action is FINAL.
`
`2b) D This action is non-final.
`
`3)[:] An election was made by the applicant in response to a restriction requirement set forth during the interview
`on
`; the restriction requirement and election have been incorporated into this action.
`
`4):] Since this application is in condition for allowance except for formal matters, prosecution as to the merits is
`closed in accordance with the practice under Expade Quay/e, 1935 CD. 11, 453 O.G. 213.
`
`Disposition of Claims*
`
`5)
`
`Claim(s) fl is/are pending in the application.
`
`5a) Of the above Claim(s)
`
`is/are withdrawn from consideration.
`
`
`
`[:1 Claim(ss)
`
`is/are allowed.
`
`8)
`Claim(s 112Is/are rejected
`
`D Claim(ss_) is/are objected to.
`
`) ) ) )
`
`S)
`are subject to restriction and/or election requirement
`[:1 Claim(s
`* If any claims have been determined aflowable. you may be eligible to benefit from the Patent Prosecution Highway program at a
`
`participating intellectual property office for the corresponding application. For more information, please see
`
`http://www.uspto.gov/patents/init events/pph/index.jsp or send an inquiry to PPeredback@uspto.gov.
`
`Application Papers
`
`10)|:I The specification is objected to by the Examiner.
`
`is/are: a)[] accepted or b)l:] objected to by the Examiner.
`11)[:] The drawing(s) filed on
`Applicant may not request that any objection to the drawing(s) be held in abeyance. See 37 CFR 1.85(a).
`Replacement drawing sheet(s) including the correction is required if the drawing(s) is objected to. See 37 CFR 1.121 (d).
`
`Priority under 35 U.S.C. § 119
`
`12)D Acknowledgment is made of a claim for foreign priority under 35 U.S.C. § 119(a)-(d) or (f).
`Certified copies:
`
`a)I:l All
`
`b)|:] Some**
`
`c)l:I None of the:
`
`1C] Certified copies of the priority documents have been received.
`
`2C] Certified copies of the priority documents have been received in Application No.
`
`3D Copies of the certified copies of the priority documents have been received in this National Stage
`application from the International Bureau (PCT Rule 17.2(a)).
`
`** See the attached detailed Office action for a list of the certified copies not received.
`
`Attachment(s)
`
`1) [3 Notice of References Cited (PTO-892)
`
`2) C] Information Disclosure Statement(s) (PTO/SB/08a and/or PTO/SB/08b)
`Paper No(s)/Mail Date_
`U.S. Patent and Trademark Office
`
`3) E] Interview Summary (PTO-413)
`Paper No(s)/Mail Date
`4) CI Other-
`
`PTOL-326 (Rev. 11-13)
`
`Office Action Summary
`
`Part of Paper No./Mai| Date 20200513
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 2
`
`DETAILED ACTION
`
`Notice of Pre-AIA or AIA Status
`
`1.
`
`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 § 102
`
`2.
`
`In the event the determination of the status of the application as subject to AIA 35
`
`U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any
`
`correction of the statutory basis for the rejection will not be considered a new ground of
`
`rejection if the prior art relied upon, and the rationale supporting the rejection, would be
`
`the same under either status.
`
`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.
`
`3.
`
`Claim(s) 1-10 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by
`
`Hayes et al. (US 9192333), cited previously.
`
`Regarding claim 1, Hayes discloses an obtainer which obtains, on a per unit
`
`period basis, a result of measuring body motion of a user in a sleep time period (column
`
`3 lines 4-11, column 14 lines 15-19, system and methods are also provided for
`
`detecting brain injury secondary to other medical conditions such as neurotoxicity or
`
`ischemic stroke, or other neurological conditions, such as, for example, Alzheimer's or
`
`schizophrenia, associated with brain injuries which may be similarly difficult to detect
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 3
`
`using current technologies, such as, magnetic resonance imaging or computer assisted
`
`tomography. Once SM parameters are identified from the sensor signals, the
`
`parameters are attributed a value and compared to the SM of populations unaffected by
`
`brain injury. Patients having statistically significant dampened sleep movements are
`
`assigned a determination of present brain injury); a determiner which determines, by
`
`comparing, on a per unit time basis, reference data on body motion of a healthy subject
`
`in a sleep time period and the result of measuring obtained by the obtainer, an
`
`occurrence frequency of a unit period in which a magnitude of a difference between the
`
`reference data and the result of the measuring obtained by the obtainer exceeds a
`
`predetermined threshold value (column 3 lines 31 -34, Column 10 lines 20-29, column
`
`14 lines 15-24, The present invention uniquely detects brain injury by comparing Sleep
`
`Movement, SM, normative features of sleep quality related to Sleep Movement
`
`abnormalities characteristic of brain injury, Once SM parameters are identified from the
`
`sensor signals, the parameters are attributed a value and compared to the SM of
`
`populations unaffected by brain injury. Patients having statistically significant dampened
`
`sleep movements are assigned a determination of present brain injury. Comparisons
`
`between the patient sleep parameters are performed using statistical methods.
`
`Preferably, the determination of a threshold value for detection of clinically significant
`
`brain injury is performed by receiver operating characteristic plot analysis, What
`
`constitutes a "sleep period" can be defined based on video or a caregiver sleep diary
`
`with infants, or with adults, a patient sleep diary. FIG. 3 uses a midnight to 5:00 AM
`
`(2400-0500 hours) time period for illustration, but the whole or a part of a sleep period
`
`can be examined provided there is sufficient data) and an outputter which outputs
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 4
`
`dementia information indicating a likelihood that the user is developing a mild cognitive
`
`disorder, the likelihood being based on a determination result of the determiner (column
`
`3 lines 4-11, column 14 lines 15-24, Comparisons between the patient sleep parameters
`
`are performed using statistical methods. Preferably, the determination of a threshold
`
`value for detection of clinically significant brain injury is performed by receiver operating
`
`characteristic plot analysis, system and methods are also provided for detecting brain
`
`injury secondary to other medical conditions such as neurotoxicity or ischemic stroke, or
`
`other neurological conditions, such as, for example, Alzheimer's or schizophrenia,
`
`associated with brain injuries which may be similarly difficult to detect using current
`
`technologies, such as, magnetic resonance imaging or computer assisted tomography.
`
`Once SM parameters are identified from the sensor signals, the parameters are
`
`attributed a value and compared to the SM of populations unaffected by brain injury.
`
`Patients having statistically significant dampened sleep movements are assigned a
`
`determination of present brain injury).
`
`Concerning claim 2, Hayes discloses the reference data is a result of measuring
`
`body motion of the user in the sleep time period at a time when the user is the healthy
`
`subject (column 5 lines 61 -63, polysomnography PSG were compared, patients with
`
`severe TBI had more sleep disturbances than matched healthy "good sleepers).
`
`With respect to claim 3, Hayes discloses wherein the unit period is 24 hours in
`
`length, when the occurrence frequency of the unit period in which the magnitude of
`
`the difference between the reference data and the result of measuring obtained by
`
`the obtainer exceeds the predetermined threshold value exceeds a
`
`predetermined reference frequency, the determiner determines that the user is
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 5
`
`developing the mild cognitive disorder, and when the determiner determines that the
`
`user is developing the mild cognitive disorder, the outputter outputs the dementia
`
`information indicating that the user is developing the mild cognitive disorder (column 3
`
`lines 4-11, column 14 lines 15-19, system and methods are also provided for detecting
`
`brain injury secondary to other medical conditions such as neurotoxicity or ischemic
`
`stroke, or other neurological conditions, such as, for example, Alzheimer's or
`
`schizophrenia, associated with brain injuries which may be similarly difficult to detect
`
`using current technologies, such as, magnetic resonance imaging or computer assisted
`
`tomography. Once SM parameters are identified from the sensor signals, the
`
`parameters are attributed a value and compared to the SM of populations unaffected by
`
`brain injury. Patients having statistically significant dampened sleep movements are
`
`assigned a determination of present brain injury).
`
`With respect to claim 4, Hayes discloses an updater which updates the reference
`
`data to reflect the result of measuring in a unit period in which the magnitude of the
`
`difference between the reference data and the result of measuring obtained by the
`
`obtainer does not exceed the predetermined threshold value, wherein when an
`
`occurrence frequency of a unit period in which a magnitude of a difference between the
`
`reference data updated by the updater and the result of measuring obtained by the
`
`obtainer after the update exceeds the predetermined threshold value exceeds the
`
`predetermined reference frequency, the determiner determines that the user is
`
`developing the mild cognitive disorder (column 5 lines 61-63, column 14 lines 19-24,
`
`polysomnography PSG were compared, patients with severe TBI had more sleep
`
`disturbances than matched healthy "good sleepers. Comparisons between the patient
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 6
`
`sleep parameters are performed using statistical methods. Preferably, the determination
`
`of a threshold value for detection of clinically significant brain injury is performed by
`
`receiver operating characteristic plot analysis).
`
`Regarding claim 5, Hayes discloses a meter which measures body motion of the
`
`user, wherein the obtainer specifies a sleep time period of the user based on a result of
`
`measuring the body motion of the user by the meter, and obtains the result
`
`of measuring in the sleep time period that has been specified (column 10 lines 20-29, a
`
`"sleep period" can be defined based on video or a caregiver sleep diary with infants, or
`
`with adults, a patient sleep diary. FIG. 3 uses a midnight to 5:00 AM (2400-0500 hours)
`
`time period for illustration, but the whole or a part of a sleep period can be examined
`
`provided there is sufficient data. In addition to analysis of sleep periods, algorithms may
`
`be used to identify more idiosyncratic parameters of sleep such as sleep movement
`
`level or intensity. To analyze such parameters a central tendency measure, e.g., a
`
`mean, can be computed as a reference).
`
`Concerning claim 6, Hayes discloses a meter 12 which measures body motion of
`
`the user, wherein the obtainer specifies a sleep time period of the user based on a
`
`result of measuring the body motion of the user by the meter, and obtains the result
`
`of measuring in the sleep time period that has been specified (column 6 lines 59-67,
`
`systems for detecting brain injury may comprise actigraphic device sensors which are
`
`accelerometers (not shown). The accelerometers may be attached to the patient's limbs
`
`or other anatomy expected to be repositioned during sleep, or the accelerometer
`
`sensors may be attached to the sleeping surface in a manner similar to the placement
`
`of pressure sensors), the dementia information output system further comprises a
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 7
`
`discerner which discerns whether or not an electrical device used by the user is in a
`
`power-on state (column 6 lines 28-30, The sensor is powered by a battery or other DC
`
`power source and is wired to an oscilloscope for detection of changes to the sensor's
`
`output) ; and a determiner which determines whether or not the user is developing the
`
`mild cognitive disorder based on whether or not the discerner discerns that the
`
`electrical device is in the power-on state in the sleep time period of the user that has
`
`been specified by the obtainer, and the occurrence frequency of the unit period in which
`
`the magnitude of the difference between the reference data and the result of measuring
`
`obtained by the obtainer exceeds the predetermined threshold value (column 10 lines
`
`20-29, a "sleep period" can be defined based on video or a caregiver sleep diary with
`
`infants, or with adults, a patient sleep diary. FIG. 3 uses a midnight to 5:00 AM time
`
`period for illustration, but the whole or a part of a sleep period can be examined
`
`provided there is sufficient data. In addition to analysis of sleep periods, algorithms may
`
`be used to identify more idiosyncratic parameters of sleep such as sleep movement
`
`level or intensity. To analyze such parameters a central tendency measure, e.g., a
`
`mean, can be computed as a reference), and when the determiner determines that the
`
`user is developing the mild cognitive disorder, the outputter outputs the dementia
`
`information indicating that the user is developing the mild cognitive disorder (column 3
`
`lines 4-11, column 14 lines 15-19, system and methods are also provided for detecting
`
`brain injury secondary to other medical conditions such as neurotoxicity or ischemic
`
`stroke, or other neurological conditions, such as, for example, Alzheimer's or
`
`schizophrenia, associated with brain injuries which may be similarly difficult to detect
`
`using current technologies, such as, magnetic resonance imaging or computer assisted
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 8
`
`tomography. Once SM parameters are identified from the sensor signals, the
`
`parameters are attributed a value and compared to the SM of populations unaffected by
`
`brain injury. Patients having statistically significant dampened sleep movements are
`
`assigned a determination of present brain injury).
`
`With respect to claim 7, Hayes discloses wherein when the occurrence frequency
`
`of the unit period in which the magnitude of the difference exceeds the predetermined
`
`threshold value exceeds the predetermined reference frequency and when a frequency
`
`in which the discerner discerns that the electrical device is in the power-on state in the
`
`sleep time period of the user exceeds a prescribed frequency, the determiner
`
`determines that the user is developing the mild cognitive disorder ((column 3 lines 4-11,
`
`column 14 lines 15-19, system and methods are also provided for detecting brain injury
`
`secondary to other medical conditions such as neurotoxicity or ischemic stroke, or other
`
`neurological conditions, such as, for example, Alzheimer's or schizophrenia, associated
`
`with brain injuries which may be similarly difficult to detect using current technologies,
`
`such as, magnetic resonance imaging or computer assisted tomography. Once SM
`
`parameters are identified from the sensor signals, the parameters are attributed a value
`
`and compared to the SM of populations unaffected by brain injury. Patients having
`
`statistically significant dampened sleep movements are assigned a determination of
`
`present brain injury).
`
`Regarding claim 8, Hayes discloses wherein the outputter outputs the dementia
`
`information by presenting the dementia information (column 3 lines 4-11, column 14
`
`lines 15-19, system and methods are also provided for detecting brain injury secondary
`
`to other medical conditions such as neurotoxicity or ischemic stroke, or other
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 9
`
`neurological conditions, such as, for example, Alzheimer's or schizophrenia, associated
`
`with brain injuries which may be similarly difficult to detect using current technologies,
`
`such as, magnetic resonance imaging or computer assisted tomography. Once SM
`
`parameters are identified from the sensor signals, the parameters are attributed a value
`
`and compared to the SM of populations unaffected by brain injury. Patients having
`
`statistically significant dampened sleep movements are assigned a determination of
`
`present brain injury).
`
`Concerning claim 9, Hayes discloses the outputter outputs the dementia
`
`information by transmitting the dementia information to a notification device (column 9
`
`lines 58-63, the data storage device 40 and a display 42 also store and display
`
`processed and analyzed data).
`
`With respect to claim 10, Hayes discloses obtaining, on a per unit period basis, a
`
`result of measuring body motion of a user in a sleep time period (column 3 lines 4-11,
`
`column 14 lines 15-19, system and methods are also provided for detecting brain injury
`
`secondary to other medical conditions such as neurotoxicity or ischemic stroke, or other
`
`neurological conditions, such as, for example, Alzheimer's or schizophrenia, associated
`
`with brain injuries which may be similarly difficult to detect using current technologies,
`
`such as, magnetic resonance imaging or computer assisted tomography. Once SM
`
`parameters are identified from the sensor signals, the parameters are attributed a value
`
`and compared to the SM of populations unaffected by brain injury. Patients having
`
`statistically significant dampened sleep movements are assigned a determination of
`
`present brain injury); determining, by comparing, on a per unit time basis, reference
`
`data on body motion of a healthy subject in a sleep time period and the result of
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 10
`
`measuring obtained by the obtainer, an occurrence frequency of a unit period in which a
`
`magnitude of a difference between the reference data and the result of the measuring
`
`obtained by the obtainer exceeds a predetermined threshold value (column 3 lines 31 -
`
`34, Column 10 lines 20-29, column 14 lines 15-24, The present invention uniquely
`
`detects brain injury by comparing Sleep Movement, SM, normative features of sleep
`
`quality related to Sleep Movement abnormalities characteristic of brain injury, Once SM
`
`parameters are identified from the sensor signals, the parameters are attributed a value
`
`and compared to the SM of populations unaffected by brain injury. Patients having
`
`statistically significant dampened sleep movements are assigned a determination of
`
`present brain injury. Comparisons between the patient sleep parameters are performed
`
`using statistical methods. Preferably, the determination of a threshold value for
`
`detection of clinically significant brain injury is performed by receiver operating
`
`characteristic plot analysis, What constitutes a "sleep period" can be defined based on
`
`video or a caregiver sleep diary with infants, or with adults, a patient sleep diary. FIG. 3
`
`uses a midnight to 5:00 AM (2400-0500 hours) time period for illustration, but the whole
`
`or a part of a sleep period can be examined provided there is sufficient data) and
`
`outputting dementia information indicating a likelihood that the user is developing a mild
`
`cognitive disorder based on a determination result of determining the occurrence
`
`(column 3 lines 4-11, column 14 lines 15-24, Comparisons between the patient sleep
`
`parameters are performed using statistical methods. Preferably, the determination of a
`
`threshold value for detection of clinically significant brain injury is performed by receiver
`
`operating characteristic plot analysis, system and methods are also provided for
`
`detecting brain injury secondary to other medical conditions such as neurotoxicity or
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 11
`
`ischemic stroke, or other neurological conditions, such as, for example, Alzheimer's or
`
`schizophrenia, associated with brain injuries which may be similarly difficult to detect
`
`using current technologies, such as, magnetic resonance imaging or computer assisted
`
`tomography. Once SM parameters are identified from the sensor signals, the
`
`parameters are attributed a value and compared to the SM of populations unaffected by
`
`brain injury. Patients having statistically significant dampened sleep movements are
`
`assigned a determination of present brain injury).
`
`Concerning claim 11, Hayes discloses wherein the unit period represents at least
`
`one day, and the unit time represents a plurality of consecutive days (Column 10 lines
`
`20-29, What constitutes a "sleep period" can be defined based on video or a caregiver
`
`sleep diary with infants, or with adults, a patient sleep diary. FIG. 3 uses a midnight to
`
`5:00 AM (2400-0500 hours) time period for illustration, but the whole or a part of a sleep
`
`period can be examined provided there is sufficient data).
`
`Regarding claim 12, Hayes discloses wherein the unit period represents at least
`
`one day, and the unit time represents a plurality of consecutive days (Column 10 lines
`
`20-29, What constitutes a "sleep period" can be defined based on video or a caregiver
`
`sleep diary with infants, or with adults, a patient sleep diary. FIG. 3 uses a midnight to
`
`5:00 AM (2400-0500 hours) time period for illustration, but the whole or a part of a sleep
`
`period can be examined provided there is sufficient data).
`
`Response to Arguments
`
`4.
`
`Applicant's arguments filed 3/3/2020 have been fully considered but they are not
`
`persuasive. Examiner finds that determining, by comparing, on a per unit time basis,
`
`reference data on body motion of a healthy subject in a sleep time period and the result
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 12
`
`of measuring obtained by the obtainer, an occurrence frequency of a unit period in
`
`which a magnitude of a difference between the reference data and the result of the
`
`measuring obtained by the obtainer exceeds a predetermined threshold value (column 3
`
`lines 31-34, Column 10 lines 20-29, column 14 lines 15-24, The present invention
`
`uniquely detects brain injury by comparing Sleep Movement, SM, normative features of
`
`sleep quality related to Sleep Movement abnormalities characteristic of brain injury,
`
`Once SM parameters are identified from the sensor signals, the parameters are
`
`attributed a value and compared to the SM of populations unaffected by brain injury.
`
`Patients having statistically significant dampened sleep movements are assigned a
`
`determination of present brain injury. Comparisons between the patient sleep
`
`parameters are performed using statistical methods. Preferably, the determination of a
`
`threshold value for detection of clinically significant brain injury is performed by receiver
`
`operating characteristic plot analysis, What constitutes a "sleep period" can be defined
`
`based on video or a caregiver sleep diary with infants, or with adults, a patient sleep
`
`diary. FIG. 3 uses a midnight to 5:00 AM (2400-0500 hours) time period for illustration,
`
`but the whole or a part of a sleep period can be examined provided there is sufficient
`
`data).
`
`Conclusion
`
`5.
`
`THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time
`
`policy as set forth in 37 CFR 1.136(a).
`
`A shortened statutory period for reply to this final action is set to expire THREE
`
`MONTHS from the mailing date of this action.
`
`In the event a first reply is filed within
`
`TWO MONTHS of the mailing date of this final action and the advisory action is not
`
`
`
`Application/Control Number: 16/068,117
`Art Unit: 3792
`
`Page 13
`
`mailed until after the end of the THREE-MONTH shortened statutory period, then the
`
`shortened statutory period will expire on the date the advisory action is mailed, and any
`
`extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of
`
`the advisory action.
`
`In no event, however, will the statutory period for reply expire later
`
`than SIX MONTHS from the mailing date of this final action.
`
`6.
`
`Any inquiry concerning this communication or earlier communications from the
`
`examiner should be directed to JON ERIC C MORALES whose telephone number is
`
`(571)272—3107. The examiner can normally be reached on Monday-Friday 830AM-
`
`530PM CST.
`
`Examiner interviews are available via telephone, in-person, and video
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`If attempts to reach the examiner by telephone are unsuccessful, the examiner’s
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`supervisor, Carl Layno can be reached on 571-272—4949. The fax phone number for
`
`the organization where this application or proceeding is assigned is 571-273-8300.
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`
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`Application/Control Number: 16/068,117
`Art Unit: 3792
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`Page 14
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`USPTO Customer Service Representative or access to the automated information
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`system, call 800-786-9199 (IN USA OR CANADA) or 571 -272-1 000.
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`——Examiner, Art Unit 3792
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`/J.C.M/
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`Examiner, Art Unit 3792
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