`
`
`Gopalakrishnan
`In re Patent of:
`10,595,731 Attorney Docket No.: 50095-0033IP1
`U.S. Patent No.:
`March 24, 2020
`
`Issue Date:
`Appl. Serial No.: 16/588,201
`
`Filing Date:
`September 30, 2019
`
`Title:
`METHODS AND SYSTEMS FOR ARRHYTHMIA TRACKING
`AND SCORING
`
`
`Mail Stop Patent Board
`Patent Trial and Appeal Board
`U.S. Patent and Trademark Office
`P.O. Box 1450
`Alexandria, VA 22313-1450
`
`
`PETITION FOR INTER PARTES REVIEW OF UNITED STATES PATENT
`NO. 10,595,731 PURSUANT TO 35 U.S.C. §§ 311–319, 37 C.F.R. § 42
`
`
`
`
`
`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`TABLE OF CONTENTS
`
`
`
`
`
`REQUIREMENTS .......................................................................................... 1
`A. Grounds for Standing ................................................................................ 1
`B. Challenge and Relief Requested ............................................................... 1
`C. Priority Date .............................................................................................. 2
`TECHNOLOGY OVERVIEW AND THE ’731 PATENT ............................ 6
`A. ’731 Patent ................................................................................................ 6
`B. Prosecution History ................................................................................... 7
`C. Level of Ordinary Skill ............................................................................. 7
` THE CHALLENGED CLAIMS ARE UNPATENTABLE ............................ 8
`A. [GROUND 1] – Shmueli Makes Claims 1, 7, 12, 13, 16, 17, 23-26 and
`30 Obvious ................................................................................................ 8
`1.
`Shmueli Overview ........................................................................... 8
`2.
`Claim 1 .......................................................................................... 13
`3.
`Claim 7 .......................................................................................... 28
`4.
`Claim 12 ........................................................................................ 30
`5.
`Claim 13 ........................................................................................ 32
`6.
`Claim 16 ........................................................................................ 33
`7.
`Claim 17 ........................................................................................ 35
`8.
`Claim 23 ........................................................................................ 36
`9.
`Claim 24 ........................................................................................ 36
`10. Claim 25 ........................................................................................ 36
`11. Claim 26 ........................................................................................ 39
`12. Claim 30 ........................................................................................ 39
`B. [GROUND 2] – Shmueli and Osorio Make Claims 1, 2, 4, 7, 12-14, 16-
`18, 20, 23-26 and 30 Obvious ................................................................. 39
`1. Osorio Overview ........................................................................... 39
`2.
`The Shmueli-Osorio Combination ................................................ 43
`3.
`Claim 1 .......................................................................................... 54
`4.
`Claim 2 .......................................................................................... 57
`5.
`Claim 4 .......................................................................................... 59
`6.
`Claim 7 .......................................................................................... 59
`7.
`Claim 12 ........................................................................................ 60
`8.
`Claim 13 ........................................................................................ 62
`9.
`Claim 14 ........................................................................................ 63
`10. Claim 16 ........................................................................................ 64
`11. Claim 17 ........................................................................................ 64
`12. Claim 18 ........................................................................................ 65
`
`i
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`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`13. Claim 20 ........................................................................................ 65
`14. Claim 23 ........................................................................................ 65
`15. Claim 24 ........................................................................................ 65
`16. Claim 25 ........................................................................................ 66
`17. Claim 26 ........................................................................................ 66
`18. Claim 30 ........................................................................................ 67
`C. [GROUND 3] – Shmueli in View of Osorio and Li-2012 Render Claims
`3, 5, 6, 19, 21 and 22 Obvious ................................................................ 67
`1.
`Li-2012 Overview ......................................................................... 67
`2.
`The Shmueli-Osorio-Li-2012 Combination .................................. 67
`3.
`Claim 3 .......................................................................................... 70
`4.
`Claim 5 .......................................................................................... 71
`5.
`Claim 6 .......................................................................................... 72
`6.
`Claim 19 ........................................................................................ 73
`7.
`Claim 21 ........................................................................................ 73
`8.
`Claim 22 ........................................................................................ 73
`D. [GROUND 4] – Shmueli in View of Osorio and Kleiger-2005 Render
`Claims 8-11 and 27-29 Obvious ............................................................. 73
`1. Kleiger-2005 Overview ................................................................. 73
`2.
`The Shmueli-Osorio-Kleiger-2005 Combination ......................... 74
`3.
`Claim 8 .......................................................................................... 74
`4.
`Claim 9 .......................................................................................... 75
`5.
`Claim 10 ........................................................................................ 76
`6.
`Claim 11 ........................................................................................ 76
`7.
`Claim 27 ........................................................................................ 77
`8.
`Claim 28 ........................................................................................ 77
`9.
`Claim 29 ........................................................................................ 77
`E. [GROUND 5] – Shmueli (or Shmueli and Osorio) in View of Chan
`Render Claim 15 Obvious....................................................................... 77
`1.
`Chan Overview .............................................................................. 77
`2.
`The Shmueli-Chan Combination ................................................... 79
`3.
`Claim 15 ........................................................................................ 81
`FEES .............................................................................................................. 87
` CONCLUSION .............................................................................................. 87
` MANDATORY NOTICES UNDER 37 C.F.R § 42.8(a)(1) ......................... 88
`A. Real Party-In-Interest Under 37 C.F.R. § 42.8(b)(1) .............................. 88
`B. Related Matters Under 37 C.F.R. § 42.8(b)(2) ....................................... 88
`C. Lead And Back-Up Counsel Under 37 C.F.R. § 42.8(b)(3) ................... 88
`D. Service Information ................................................................................ 88
`
`
`
`ii
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`
`
`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`
`
`
`
`APPLE-1001
`
`APPLE-1002
`
`EXHIBITS
`
`U.S. Pat. No. 10,595,731 to Gopalakrishnan (“the ’731 patent”)
`
`Excerpts from the Prosecution History of the ’731 patent (“the
`Prosecution History”)
`
`APPLE-1003
`
`Declaration of Dr. Bernard A. Chaitman
`
`APPLE-1004
`
` PCT Patent Publication WO2012/140559 (“Shmueli”)
`
`APPLE-1005
`
` U.S. Patent Publication 2014/0275840 (“Osorio”)
`
`APPLE-1006
`
` Li Q, Clifford GD, “Signal quality and data fusion for false
`alarm reduction in the intensive care unit,” J Electrocardiol.
`2012 Nov-Dec; 45(6):596-603 (“Li-2012”)
`
`APPLE-1007
`
` U.S. Patent Publication 2008/0004904 (“Tran”)
`
`APPLE-1008
`
` U.S. Patent Publication 2014/0107493 (“Yuen”)
`
`APPLE-1009
`
` U.S. Patent Publication 2015/0119725 (“Martin”)
`
`APPLE-1010
`
` U.S. Provisional Application No. 61/794,540 (“OP”)
`
`APPLE-1011
`
` Lee J, Reyes BA, McManus DD, Mathias O, Chon KH. Atrial
`fibrillation detection using a smart phone. International Journal
`of Bioelectromagnetism, Vol. 15, No. 1, pp. 26 - 29, 2013
`(“Lee 2013”)
`
`APPLE-1012
`
` Tsipouras MG, Fotiadis DI. Automatic arrhythmia detection
`based on time and time-frequency analysis of heart rate
`variability. Comput Methods Programs Biomed. 2004 May;
`74(2):95-108 (“Tsipouras 2004”)
`
`APPLE-1013
`
` Lu S, Zhao H, Ju K, Shin K, Lee M, Shelley K, Chon KH. Can
`photoplethysmography variability serve as an alternative
`
`iii
`
`
`
`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`approach to obtain heart rate variability information? J Clin
`Monit Comput. 2008 Feb; 22(1):23-9 (“Lu 2008”)
`
`APPLE-1014
`
` Selvaraj N, Jaryal A, Santhosh J, Deepak KK, Anand S.
`Assessment of heart rate variability derived from finger-tip
`photoplethysmography as compared to electrocardiography. J
`Med Eng Technol. 2008 Nov-Dec; 32(6):479-84 (“Selvaraj
`2008”)
`
`APPLE-1015
`
` Lu G, Yang F, Taylor JA, Stein JF. A comparison of
`photoplethysmography and ECG recording to analyse heart rate
`variability in healthy subjects. J Med Eng Technol. 2009;
`33(8):634-41 (“Lu 2009”)
`
`APPLE-1016
`
` Suzuki T, Kameyama K, Tamura T. Development of the
`irregular pulse detection method in daily life using wearable
`photoplethysmographic sensor. Annu Int Conf IEEE Eng Med
`Biol Soc. 2009; 2009:6080-3 (“Suzuki 2009”)
`
`APPLE-1017
`
` Reed MJ, Robertson CE, Addison PS. Heart rate variability
`measurements and the prediction of ventricular arrhythmias.
`QJM. 2005 Feb; 98(2):87-95 (“Reed 2005”)
`
`APPLE-1018
`
` Schäfer A, Vagedes J. How accurate is pulse rate variability as
`an estimate of heart rate variability? A review on studies
`comparing photoplethysmographic technology with an
`electrocardiogram. Int J Cardiol. 2013 Jun 5; 166(1):15-29
`(“Schafer 2013”)
`
`APPLE-1019
`
` K. Douglas Wilkinson, “The Clinical Use of the
`Sphygmomanometer,” The British Medical Journal, 1189-90
`(Dec. 27, 1924) (“Wilkinson”)
`
`APPLE-1020
`
` U.S. Pat. No. 6,095,984 (“Amano”)
`
`APPLE-1021
`
` B.K. Bootsma et. al, “Analysis of R-R intervals in patients with
`atrial fibrillation at rest and during exercise.” Circulation 1970;
`41:783-794
`
`iv
`
`
`
`APPLE-1022
`
`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
` Frits L. Meijler and Fred H. M. Wittkampf, “Role of the
`Atrioventricular Node in Atrial Fibrillation” Atrial Fibrillation:
`Mechanisms and Management, 2nd ed. 1997 (“Meijler”)
`
`APPLE-1023
`
` Heart Diseases _ Definition of Heart Diseases by Merriam-
`Webster
`
`APPLE-1024
`
` Acharya UR, Joseph KP, Kannathal N, Lim CM, Suri JS. Heart
`rate variability: a review. Med Biol Eng Comput. 2006 Dec;
`44(12):1031-51 (“Acharya 2006”)
`
`APPLE-1025
`
` Saime Akdemir Akar, Sadık Kara, Fatma Latifoğlu, Vedat
`Bilgiç. Spectral analysis of photoplethysmographic signals: The
`importance of preprocessing. Biomedical Signal Processing and
`Control, 2013; 8(1):16-22 (Akar 2013)
`
`APPLE-1026
`
` U.S. Provisional Application No. 61/915,113
`
`APPLE-1027
`
` U.S. Provisional Application No. 61/953,616
`
`APPLE-1028
`
` U.S. Provisional Application No. 61/969,019
`
`APPLE-1029
`
` U.S. Provisional Application No. 61/970,551
`
`APPLE-1030
`
` U.S. Provisional Application No. 62/014516
`
`APPLE-1031
`
` U.S. Patent Publication No. 2012/0203491 (“Sun”)
`
`APPLE-1032
`
` U.S. Patent No. 9,808,206 (“Zhao”)
`
`APPLE-1033
`
` Kleiger RE, Stein PK, Bigger JT Jr. Heart rate variability:
`measurement and clinical utility. Ann Noninvasive
`Electrocardiol. 2005 Jan; 10(1):88-101 (“Kleiger-2005”)
`
`APPLE-1034
`
` Chen Z, Brown EN, Barbieri R. Characterizing nonlinear
`heartbeat dynamics within a point process framework. IEEE
`Trans Biomed Eng. 2010 Jun; 57(6):1335-47 (“Chen 2010”)
`
`v
`
`
`
`APPLE-1035
`
`APPLE-1036
`
`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
` Karvonen, J., Vuorimaa, T. Heart Rate and Exercise Intensity
`During Sports Activities. Sports Medicine 5, 303–311 (1988)
`(“Karvonen 1988”)
`
` Yu C, Liu Z, McKenna T, Reisner AT, Reifman J. A method
`for automatic identification of reliable heart rates calculated
`from ECG and PPG waveforms. J Am Med Inform Assoc. 2006
`May-Jun; 13(3):309-20 (“Yu 2006”)
`
`APPLE-1037
`
` AliveCor v Apple ITC Complaint Exhibit 11 (731 Infringement
`Chart)
`
`APPLE-1038
`
` Tavassoli, M, Ebadzadeh, MM, Malek H. (2012). Classification
`of cardiac arrhythmia with respect to ECG and HRV signal by
`genetic programming. Canadian Journal on Artificial
`Intelligence, Machine Learning and Pattern Recognition. 3. 1-
`13 (“TavassoLi-2012”)
`
`APPLE-1039
`
` Asl BM, Setarehdan SK, Mohebbi M. Support vector machine-
`based arrhythmia classification using reduced features of heart
`rate variability signal. Artif Intell Med. 2008 Sep; 44(1):51-64
`(“Asl 2008”)
`
`APPLE-1040
`
` Yaghouby F., Ayatollahi A. (2009) An Arrhythmia
`Classification Method Based on Selected Features of Heart
`Rate Variability Signal and Support Vector Machine-Based
`Classifier. In: Dössel O., Schlegel W.C. (eds) World Congress
`on Medical Physics and Biomedical Engineering, September 7 -
`12, 2009, Munich, Germany. IFMBE Proceedings, vol 25/4.
`Springer, Berlin, Heidelberg (“Yaghouby 2009”)
`
`APPLE-1041
`
` Dallali, A, Kachouri, A, Samet, M. (2011). Integration of HRV,
`WT and neural networks for ECG arrhythmias classification.
`ARPN Journal of Engineering and Applied Sciences. VOL. 6.
`74-82 (“Dallali 2011”)
`
`APPLE-1042
`
` Sajda P. Machine learning for detection and diagnosis of
`disease. Annu Rev Biomed Eng. 2006; 8:537-65 (“Sajda 2006”)
`
`vi
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`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`
`
`
`APPLE-1043
`
` Aaron Smith. Smartphone Ownership – 2013 Update. Pew
`Research Center. June 5, 2013 (“Smith 2013”)
`
`APPLE-1044
`
` C. Narayanaswami and M. T. Raghunath, “Application design
`for a smart watch with a high resolution display,” Digest of
`Papers. Fourth International Symposium on Wearable
`Computers, 2000, pp. 7-14 (“Narayanaswami 2000”)
`
`APPLE-1045
`
` Thong, YK, Woolfson, M, Crowe, JA, Hayes-Gill, B, Challis,
`R. (2002). Dependence of inertial measurements of distance on
`accelerometer noise, Meas. Measurement Science and
`Technology. 13. 1163 (“Thong 2002”)
`
`APPLE-1046
`
` AliveCor’s ITC Complaint filed on April 20, 2021 in “Certain
`Wearable Electronic Devices With ECG Capability and
`Components Thereof” ITC-337-3545-20210420 (“ITC
`Complaint”)
`
`
`APPLE-1047
`
` Excerpts from Marcovitch, Harvey. Black’s Medical
`Dictionary. London: A. & C. Black, 2005
`
`APPLE-1048
`
` U.S. Pat. No. 7,894,888 (“Chan”)
`
`APPLE-1049
`
` Hu YH, Palreddy S, Tompkins WJ. A patient-adaptable ECG
`beat classifier using a mixture of experts approach. IEEE
`Transactions on Bio-medical Engineering. 1997 Sep;
`44(9):891-900 (“Hu 1997”)
`
`APPLE-1050
`
` Strath SJ, Swartz AM, Bassett DR Jr, et al. Evaluation of heart
`rate as a method for assessing moderate intensity physical
`activity. Medicine and Science in Sports and Exercise. 2000
`Sep; 32(9 Suppl):S465-70 (“Strath 2000”)
`
`APPLE-1051
`
`Letter from Michael Amon re Conditional Stipulation dated
`June 4, 2021
`
`APPLE-1052
`
`Declaration of Mr. Jacob Munford
`
`i
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`
`
`APPLE-1053
`
`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
` Order Staying Case Pending Institution of And/Or Final
`Determination in Parallel ITC Matter (AliveCor Inc. v. Apple
`Inc., 6:20-cv-01112-26 (W.D.Tex. May 6, 2021)
`
`APPLE-1054
`
` U.S. Provisional Application No. 61/895,995 (“Martin
`Provisional”)
`
`APPLE-1055
`
` AliveCor’s District Court Complaint filed on May 25, 2021 in
`AliveCor, Inc. v. Apple Inc., 3:21-cv-03958 (N.D.Cal. May 25,
`2021) (“Antitrust Complaint”)
`
`ii
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`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`Petitioner (“Apple”) petitions for Inter Partes Review of claims 1-30
`
`(“Challenged Claims”) of U.S. Patent No. 10,595,731 (“’731 patent”).
`
`
`
`REQUIREMENTS
`A. Grounds for Standing
`Apple certifies that the ’731 patent is available for IPR. This petition is
`
`being filed within one year of service of a complaint against Apple by the Patent
`
`Owner (“AliveCor”). Apple is not barred or estopped from requesting this review
`
`of the Challenged Claims.
`
`B. Challenge and Relief Requested
`Apple requests IPR and cancellation of the Challenged Claims on the
`
`grounds below.
`
`Ground
`1
`
`2
`
`3
`
`4
`
`5
`
`Claims
`1, 7, 12, 13, 16, 17, 23-26,
`and 30
`1, 2, 4, 7, 12-14, 16-18, 20,
`23-26, and 30
`3, 5, 6, 19, 21, and 22
`
`8-11 and 27-29
`
`15
`
`Basis
`
`§103: Shmueli
`
`§103: Shmueli in view of Osorio
`
`§103: Shmueli in view of Osorio and
`Li-2012
`§103: Shmueli in view of Osorio and
`Kleiger-2005
`§103: Shmueli in view of Chan or
`Shmueli in view of Osorio and Chan
`
`Applied references are prior art on the bases below:
`
`Reference
`Shmueli
`
`Date(s)
`10/18/2012
`
`Basis
`§102(a)(1)
`
`1
`
`
`
`Reference
`Osorio
`
`Li-2012
`Kleiger-2005
`
`Chan
`
`
`
`Date(s)
`3/13/2014
`3/15/2013
`3/30/20121
`January
`20052
`2/22/2011
`
`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`Basis
`§102(a)(2)
`
`§102(a)(1)
`§102(a)(1)
`
`§102(a)(1)
`
`C.
`Priority Date
`The ’731 patent claims priority to Provisional Application No. 62/014,516,
`
`filed on June 19, 2014, Provisional Application No. 61/970,551, filed on March 26,
`
`2014, Provisional Application No. 61/969,019, filed March 21, 2014, Provisional
`
`Application No. 61/953,616, filed on March 14, 2014, and Provisional Application
`
`No. 61/915,113,3 filed on December 12, 2013. The claims of the ’731 patent are
`
`not entitled to the priority date of Provisional Application No. 61/915,113, which
`
`fails to disclose the following limitations of the independent claims 1, 17, and 25:
`
`(1) receive PPG data from a PPG sensor of a smartwatch; (2) detecting arrhythmia
`
`using PPG data, and (3) confirming the presence of the arrhythmia using ECG
`
`
`1 APPLE-1052, ¶¶7-11(authenticating public availability date).
`
`2 APPLE-1052, ¶¶27-31 (authenticating public availability date).
`
`3 The cover of the ’731 patent incorrectly lists provisional application No.
`
`61/915,113 as “provisional application No. 61/915,115”.
`
`2
`
`
`
`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`data. Thus, the earliest priority date to which the ’731 patent is entitled is March
`
`14, 2014 (“Critical Date”).
`
`Each prior art reference applied in this petition predates the Critical Date of
`
`the ’731 patent. Specifically, Shmueli was published on October 18, 2012, Li-
`
`2012 was published on March 30, 2012, Kleiger-2005 was published in January
`
`2005, and Chan was published on February 22, 2011.
`
`Osorio is a published US patent application that was filed on March 13,
`
`2014, which is prior to the March 14, 2014 priority date of the ’731 patent. Thus,
`
`Osorio qualifies as prior art under 35 U.S.C. §102(a)(2).
`
`As discussed below, even assuming the ’731 patent is entitled to the
`
`December 12, 2013 filing date of its Earliest Provisional Application (it is not as
`
`discussed above), Osorio remains prior art under 35 U.S.C. §102(a)(2) based on
`
`the filing date of its own provisional application.
`
`a. Dynamic Drinkware Analysis
`Osorio claims priority to Provisional Application No. 61/794,540 (“Osorio
`
`Provisional”), filed on March 15, 2013. APPLE-1005, Cover. Osorio Provisional is
`
`incorporated in its entirety in Osorio. APPLE-1005, [0001]. Osorio and Osorio
`
`Provisional share a similar specification and similar claims. Osorio is entitled to
`
`Osorio Provisional’s March 15, 2013 filing date because the Osorio Provisional in-
`
`cludes the relevant prior art disclosure and supports at least one of Osorio’s claims
`
`3
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`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`(claim 1) as shown below. See Dynamic Drinkware v. National Graphics, 800 F.3d
`
`1375 (Fed. Cir. 2015). Claim 1 of Osorio recites:
`
`(a) A method for detecting a pathological body
`state of a patient, comprising:
`Osorio Provisional discloses “a method of detecting an occurrence of a
`
`pathological state of a patient from body data of said patient, comprising.” APPLE-
`
`1010, claim 1, [0002]-[0004]; [0042]-[0054].
`
`receiving a first body signal of the patient;
`(b)
`Osorio Provisional discloses “receiving a body signal of said patient.” AP-
`
`PLE-1010, claim 1, [0002]-[0004]; [0043].
`
`(c)
`
`determining a first body data variability (BDV)
`from said first body signal;
`Osorio Provisional discloses “determining a current body data variability
`
`(BDV) value based upon said body signal.” APPLE-1010, claim 1, [0002]-[0004];
`
`[0044]; [0053].
`
`determining an activity level of said patient;
`(d)
`Osorio Provisional discloses “determining an activity level of said patient.”
`
`APPLE-1010, claim 1, [0002]-[0003]; [0045]; [0025].
`
`(e)
`
`determining a non-pathological range for said
`first BDV, based at least in part on said activity
`level;
`Osorio Provisional discloses “determining a non-pathological BDV range
`
`4
`
`
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`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`based at least in part on said activity level.” APPLE-1010, claim 1, [0002]-[0003];
`
`[0046].
`
`(f)
`
`comparing said first BDV to said non-pathologi-
`cal range for said first BDV;
`Osorio Provisional discloses “comparing said current BDV value to said
`
`non-pathological BDV range.” APPLE-1010, claim 1, [0002]-[0004]; [0049].
`
`(g)
`
`detecting a pathological body state when said
`first BDV is outside said non-pathological
`range; and
`Osorio Provisional discloses “detecting the occurrence of a pathological
`
`state in response to said current BDV value being outside said non-pathological
`
`BDV range.” APPLE-1010, claim 1, [0002]-[0004]; [0049].
`
`(h)
`
`performing, in response to detecting said patho-
`logical state, at least one further action selected
`from issuing a notice of said detecting, deliver-
`ing a therapy, issuing a warning, determining a
`severity of said pathological state, logging a
`time of occurrence of said detecting, logging a
`response to a therapy, and logging said severity
`of said pathological state.
`Osorio Provisional discloses “performing a further action in response to said
`
`detecting, wherein said further action is selected from confirming said detection of
`
`the occurrence of said pathological state; issuing a warning, delivering a therapy,
`
`determining a severity of said pathological state, or logging to memory one of the
`
`date and time of occurrence of said pathological state, a severity of the pathologi-
`
`5
`
`
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`Attorney Docket No. 50095-0033IP1
`IPR of U.S. Patent No. 10,595,731
`cal state, and an effect of a therapy delivered to treat the pathological state.” AP-
`
`PLE-1010, claim 2, [0051].
`
` TECHNOLOGY OVERVIEW AND THE ’731 PATENT
`In his declaration, Dr. Chaitman provides an overview of cardiac monitoring
`
`technology relevant to the ’731 patent. APPLE-1003, ¶¶26-38.
`
`A.
`’731 Patent
`The ’731 patent relates to determining arrhythmia based on PPG and ECG
`
`sensors. APPLE-1001, Abstract, claim 1; APPLE-1003, ¶¶39-40. Arrhythmia
`
`detection in the ’731 patent involves: (1) receiving PPG data from a PPG sensor;
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`(2) detecting arrhythmia based on the PPG data; (3) receiving ECG data from an
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`ECG sensor, and (4) confirming arrhythmia based on the ECG data. Id., claim 1.
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`As shown below, Figure 10 depicts an example where the heart rate is
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`detected using a heart rate monitor 1010 (e.g., PPG sensor), an irregularity is
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`detected, and an alert is provided for the user to record an ECG. APPLE-1001,
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`23:22-34.
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`APPLE-1001, Figure 10 (annotated)
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`B.
`Prosecution History
`During prosecution of the ’731 patent, the Examiner only issued a double-
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`patenting rejection, which was overcome by filing a terminal disclaimer. APPLE-
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`1002, 73-78; 51-72. During prosecution, the examiner did not consider Shmueli,
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`Osorio, Li-2012, Kleiger-2005, or Chan.
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`C. Level of Ordinary Skill
`A person of ordinary skill in the art (“POSITA”) in this matter would have
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`had at least a combination of Bachelor’s Degree (or a similar Master’s Degree, or
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`higher degree) in an academic area emphasizing health science, or a related field,
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`and two or more years of work experience with cardiac monitoring technologies
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`(e.g., as a cardiologist). Additional education or industry experience may
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`compensate for a deficit in one of the other aspects of the requirements stated
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`above.
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` THE CHALLENGED CLAIMS ARE UNPATENTABLE
`A.
`[GROUND 1] – Shmueli Makes Claims 1, 7, 12, 13, 16, 17,
`23-26 and 30 Obvious
`1.
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`Shmueli Overview
`(a) Monitoring Device
`Shmueli is titled “Pulse oximetry measurement triggering ECG
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`measurement.” APPLE-1004, Cover. Shmueli’s heart monitoring device includes
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`an “oximetry measuring unit” for measuring oxygen saturation (SpO2), which
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`Shmueli describes as being the same as PPG. APPLE-1004, 7:25-27. The heart
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`monitoring device also includes an “ECG measuring unit” with electrical contacts
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`for measuring ECG, and a “processor” to control both types of measurements.
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`APPLE-1004, 4:1-9, 9:8-16, 11:10-21; APPLE-1003, ¶44.
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`Shmueli’s heart monitoring device has a wrist-mounted form factor. See
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`APPLE-1004, FIGS. 1A, 1B, 2-5; APPLE-1003, ¶45.
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`APPLE-1004, Figs. 1A, 1B (annotated)
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`Figure 3 shows an example of a user using Shmueli’s heart monitoring
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`device on his/her wrist to collect an ECG measurement. APPLE-1003, ¶46.
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`APPLE-1004, Fig. 3 (annotated)
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`(b) Monitoring Technique
`Shmueli’s heart monitoring device performs a monitoring technique that
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`involves “continuously measuring [oxygen saturation (SpO2)] at the wrist of the
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`user, detecting an irregular heart condition from the SpO2 measurement,
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`notifying the user to perform an ECG measurement, and initiating the ECG
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`measurement at least partially at the wrist.” APPLE-1004, Abstract (emphasis
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`added).
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`As Dr. Chaitman explains, a POSITA would have understood that the term
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`“irregular heart condition” refers to arrhythmia for several reasons. APPLE-1003,
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`¶48. First, Shmueli’s disclosure supports this understanding since Shmueli
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`discloses both detecting the “irregular heart condition” based on PPG data and
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`confirming the diagnosis with an ECG measurement. APPLE-1004, Abstract, FIG.
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`8; 8:23-28; APPLE-1003, ¶48. Although “irregular heart condition” is not a
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`standard term in medicine, a POSITA would have understood that this term refers
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`to arrhythmia, which is one of the most obvious (if not the most obvious) types of
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`“irregular heart condition[s]” that can be determined using PPG and ECG data.
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`APPLE-1016, p.6081; APPLE-1020, Abstract, 44:29-32; APPLE-1011, Abstract;
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`APPLE-1003, ¶48. Indeed, the Merriam-Webster Dictionary defines “heart
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`disease” as “an abnormal condition of the heart or of the heart and circulation
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`(such as coronary heart disease, arrhythmia, or heart-valve defect).” APPLE-
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`1023, 2. Similarly, the Black Medical Dictionary lists “arrhythmia” as the first
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`condition under the heading “Heart, Disease of.” APPLE-1047, 320-321.
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`Likewise, the ’731 patent describes arrhythmia as “a cardiac condition in which
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`the electrical activity of the heart is irregular...” APPLE-1001, 1:31-33. Shmueli
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`also recognizes that “[d]eriving heart rate from oximetry” was known in the art and
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`was commonly understood to be used in detection of arrhythmias. APPLE-1004,
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`8:11-13; APPLE-1003, ¶48. Shmueli also offers an expansive definition of the
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`term “irregular heart condition.” APPLE-1004, 15:3-5.
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`Like the ’731 patent, Shmueli’s heart monitoring device detects arrhythmia
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`using PPG. APPLE-1004, Abstract, APPLE-1003, ¶49. Shmueli’s Figure 7
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`provides an example of its cardiac monitoring technique.
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`APPLE-1004, Fig. 7 (annotated)
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`As shown above, Shmueli’s heart monitoring device uses PPG data to detect
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`an irregular heart condition (arrhythmia) at elements 37-38. APPLE-1004, 12:9-
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`22. If arrhythmia is detected at element 40, the heart monitoring device triggers an
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`ECG measurement at element 41 by providing a notification to the user to take the
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`ECG measurement at element 42. Id., 12:23-32; APPLE-1003, ¶50.
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`A POSITA would have understood and/or found obvious that the monitoring
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`technique shown in Shmueli’s Figure 7 contemplates using ECG data to confirm
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`the initial detection of an irregular heart condition using PPG data. APPLE-1004,
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`8:24-29; APPLE-1003, ¶51. This is because Shmueli criticizes other heart
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`monitoring devices for “not consider[ing] a requirement to enable a patient to
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`perform ECG measurement as soon as an irregular heart activity develops and
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`without requiring the ECG to be constantly wired to the patient.” APPLE-1004,
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`8:21-24. A POSITA would have recognized that Shmueli’s focus on enabling
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`ECG measurements “as soon as” an irregular heart condition is detected enables
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`ECG data to be used to confirm the detection of the irregular heart condition using
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`PPG data, thereby improving detection accuracy compared to prior art heart
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`monitoring devices. See APPLE-1004, 13:16-21 (describing that developing
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`correlations between PPG data and ECG data provides the ability to “produce new
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`detection parameters, or modify existing detection parameters, so as to enhance the
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`detection algorithms of the irregular heart conditions”); APPLE-1003, ¶51.
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`2.
`Claim 1
`[1.0] A smart watch to detect the presence of an arrhythmia of a user,
`comprising:
`To the extent the preamble is limiting, Shmueli renders it obvious. APPLE-
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`1003, ¶¶71-77. Shmueli teaches “detecting an irregular heart condition from the
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`SpO2 measurement.” APPLE-1004, Abstract. As discussed in Section III.A.1 and
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`explained by Dr. Chaitman, a POSITA would have understood and found obvious
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`that the term “irregular heart condition” refers to arrhythmia. APPLE-1003, ¶¶72-
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`73. Figs. 1A and 1B illustrate an example of Shmueli’s device.
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`APPLE-1004, Figs. 1A and 1B (annotated).
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`As shown in Fig. 6, Shmueli’s device includes “a power supply unit such as
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`a battery 27, a memory unit 28, a processor 29, an oximetry measuring unit 30 with
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`the oximetry sensor 13, an ECG measuring unit 31 with three ECG contact sensors
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`14, a user interface unit 32 preferably containing output devices.” APPLE-1004,
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`11:10-15.
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`APPLE-1004, Fig. 6 (annotated).
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`This is highly similar to the ’731 patent’s smartwatch that includes a heart
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`rate monitor 1402, an activity monitor 1404, a processor coupled to a memory, and
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`an output device 1408. APPLE-1001, 24:66-25:6; APPLE-1003, ¶76. Thus, a
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`POSITA would have understood that Shmueli’s mobile computing device is a
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