Prosecution Insights
Last updated: July 17, 2026
Application No. 18/383,587

LOWER LIMB SLEEVE FOR DETECTING AND OVERCOMING FREEZE OF GAIT

Final Rejection §103
Filed
Oct 25, 2023
Priority
Oct 25, 2022 — provisional 63/419,168
Examiner
KUO, JONATHAN T
Art Unit
3792
Tech Center
3700 — Mechanical Engineering & Manufacturing
Assignee
Battelle Memorial Institute
OA Round
2 (Final)
72%
Grant Probability
Favorable
3-4
OA Rounds
2m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 72% — above average
72%
Career Allowance Rate
342 granted / 474 resolved
+2.2% vs TC avg
Strong +28% interview lift
Without
With
+28.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
37 currently pending
Career history
507
Total Applications
across all art units

Statute-Specific Performance

§101
1.1%
-38.9% vs TC avg
§103
87.4%
+47.4% vs TC avg
§102
5.5%
-34.5% vs TC avg
§112
3.0%
-37.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 474 resolved cases

Office Action

§103
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 Amendment This office action is responsive to the amendment filed on 5/8/2026. As directed by the amendment, the status of the claim(s) are: Claim(s) 1, 11, 16 has/have been amended; Claim(s) 1-20 is/are presently pending. Response to Arguments Applicant argues on p. 7 that the prior art of record does not teach “triggering subset of the array of electrodes” as recited in independent claim 1. After review this is not persuasive. Robinson teaches trigger energization of a subset of the array of electrodes comprising one or more targeted electrodes in response to identification of the onset of the FoG episode to mitigate against the FoG episode (Fig. 4; Fig. 10 “Determine actuation signals…Apply the actuation signals to one or more…”; [0012]; [0040] “actuators 12 may have varying types including electric”; [0043] “The actuators 122 may implement templated sequencing, applying actuation signals based on templates associated with particular movements… the templates include a sequence of mappings between specific events in a movement that corresponds to the beginning of ending of a specific muscle firing. The sequence of mappings are organized chronologically in the order in which the events occur in a movement. For example, a template for a gait can include events associated with a foot leaving the ground followed by events associated with a leg lift, swing, and finally, the heel of the foot striking the ground to complete the gait.”; [0058] “The user-specific modifications may include adjustments to actuation strategies with predefined actuation parameters such…actuators used (i.e., in an arrayed actuation configuration where an array of actuators is used to augment movement)”; [0071] “An actuation strategy…for an arrayed orientation of multiple actuators coupled to the mobility augmentation system 130, which actuators are used to apply the signals.”; [0113] “the system 130 uses the actuators 122 to apply the determined 1003 actuation signals to target locations on the user's body.”; [0091]; [0123] “four-channel FES array that activates different muscles. The location and duration of the FES can be customized to the patient's needs.”). Applicant argues on p. 8 that the prior art of record does not teach processor carried by the sleeve as recited in independent claim 11. After review, this is not persuasive. Robinson and Nazari teaches at least one processor carried by the sleeve and which executes computer program code from at least one memory, wherein the at least one memory and the computer program code are configured, with the at least one processor (Robison Fig. 1; [0034] “For example, the devices 120a and 120b may include additional components such as one or more processors (e.g., a general purpose processor and digital signal processor)… the mobility augmentation system 130 may perform the functionality of the controller 121 (i.e., the controller 121 is encompassed within the system 130).”; [0035] “The mobility augmentation devices 120a and 120b may have various, wearable form factors such as… leggings… any wearable form factor suitable for targeting a particular muscle group on a user's body, or a combination thereof.”; Nazari [0065] “wearable device 16 may further comprise a microcontroller…microcontroller can be a processor”). Claim Rejections - 35 USC § 103 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 (i.e., changing from AIA to pre-AIA ) 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 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) 1-11, 13-15, 18-20 is/are rejected under 35 U.S.C. 103 as being unpatentable over Robison (US 20220175555 A1; 6/9/2022; cited in previous office action) in view of Nazari (US 20160106344 A1; 4/21/2016; cited in previous office action). Regarding claim 1, Robison teaches a device for overcoming freezing of gait (FoG) ([0123]), the device comprising: sized and shaped to be worn on a leg of a human subject (Fig. 7A-8B; [0106] “leggings”; [0107] “stretch material”). Robison does not teach a sleeve sized and shaped to be worn on a leg of a human subject. Note that Robison teaches stretch material over legs (Fig. 7A-8B; [0106] “leggings”; [0107] “stretch material”). However, for the sake of clarity and to avoid doubt, Nazari teaches in the same field of endeavor (Abstract; [0054] “Parkinson’s disease”) a sleeve sized and shaped to be worn on a leg of a human subject (Fig. 14; [0065] “stretchable fabric”; [0066]). Thus it would have been obvious to a person of ordinary skill in the art before the effective filing date of the invention to modify the teaching of Robison to include this feature as taught by Nazari because this is a suitable shape for treating movement disorders (Fig. 11; Fig. 14; [0054]; [0065]-[0066]), furthermore, this would be an obvious change in shape; MPEP 2144.04. In the combination of Robison and Nazari, Robison teaches an array of electrodes carried by the sleeve and positioned to make surface contact with skin of the leg when the sleeve is worn on by the human subject (Fig. 7A-7B; [0106]); and a controller in communication with the array of electrodes (Fig. 1; [0034]), said controller being operative to: receive muscle activity data from the array of electrodes indicative of muscle activity in the leg (Fig. 1; Fig. 3; [0062]-[0063]; [0106]; [0123]); identify an onset of a FoG episode based on the received muscle activity data ([0123]); and trigger energization of a subset of the array of electrodes comprising one or more targeted electrodes in response to identification of the onset of the FoG episode to mitigate against the FoG episode (Fig. 4; Fig. 10 “Determine actuation signals…Apply the actuation signals to one or more…”; [0012]; [0040] “actuators 12 may have varying types including electric”; [0043] “The actuators 122 may implement templated sequencing, applying actuation signals based on templates associated with particular movements… the templates include a sequence of mappings between specific events in a movement that corresponds to the beginning of ending of a specific muscle firing. The sequence of mappings are organized chronologically in the order in which the events occur in a movement. For example, a template for a gait can include events associated with a foot leaving the ground followed by events associated with a leg lift, swing, and finally, the heel of the foot striking the ground to complete the gait.”; [0058] “The user-specific modifications may include adjustments to actuation strategies with predefined actuation parameters such…actuators used (i.e., in an arrayed actuation configuration where an array of actuators is used to augment movement)”; [0071] “An actuation strategy…for an arrayed orientation of multiple actuators coupled to the mobility augmentation system 130, which actuators are used to apply the signals.”; [0113] “the system 130 uses the actuators 122 to apply the determined 1003 actuation signals to target locations on the user's body.”; [0091]; [0123] “four-channel FES array that activates different muscles. The location and duration of the FES can be customized to the patient's needs.”). Regarding claim 2, in the combination of Robison and Nazari, Robison teaches wherein the muscle activity data comprises electromyography (EMG) measurements obtained via the array of electrodes (Fig. 1; Fig. 3; [0062]-[0063]; [0106]; [0123]). Regarding claim 3, in the combination of Robison and Nazari, Robison teaches wherein the sleeve further includes an inertial measurement unit (IMU) that is responsive to movement of the leg (Fig. 3; [0004]; [0062]; [0091]-[0092]). Regarding claim 4, in the combination of Robison and Nazari, Robison teaches wherein the controller is further operative to: obtain motion data from the IMU indicative of movement of the leg (Fig. 3; [0004]; [0062]; [0091]-[0092]); determine a phase of a gait cycle the subject is in based on the obtained motion data (Fig. 4-5; Fig. 14; [0063]-[0062]; [0123]); and select one or more of the array of electrodes as the one or more target electrodes that are energized based on the determined phase of the gait cycle the subject is in ([0091]-[0092]; [0123]). Regarding claim 5, in the combination of Robison and Nazari, Robison teaches wherein the controller comprises: a decoder that processes the muscle activity data received from the electrodes to identify the onset of the FoG episode (Fig. 2-3; Fig. 10-11; Fig. 12-13; [0062]-[0063]; [0123]); and a stimulator that provides an electrical signal to the one or more target electrodes to thereby energize the one or more target electrodes (Fig. 2-3; Fig. 10-11; Fig. 12-13; [0062]-[0063]; [0091]-[0092]; [0123]). Regarding claim 6, in the combination of Robison and Nazari, Robison teaches wherein the FoG episode is identified by detecting a deviation in the muscle activity data received from the electrodes from muscle activity data recognized as corresponding to a normal gait (Fig. 3; Fig. 10-11; [0063]-[0064]; [0123]). Regarding claim 7, in the combination of Robison and Nazari, Robison teaches wherein the onset of the FoG episode is identified within less than or equal to 1 second from a time that the FoG episode begins to be onset (Fig. 3; Fig. 10; Fig. 12-13; [0123]; [0127]-[0128]; [0129]; the reference teaches especially in Fig. 12-13 that the system responds within the claimed time frame). Regarding claim 8, in the combination of Robison and Nazari, Robison teaches wherein the energization of the one or more target electrodes occurs within less than or equal to one second from a time that the onset of the FoG episode is identified (Fig. 3; Fig. 10; Fig. 12-13; [0123]; [0127]-[0128]; [0129]; the reference teaches especially in Fig. 12-13 that the system responds within the claimed time frame). Regarding claim 9, in the combination of Robison and Nazari, Robison teaches wherein the energization of the one or more target electrodes provides one of functional electrical stimulation (FES) (Fig. 3) and neuromuscular electrical stimulation (NMES) to one or more muscles of the leg corresponding to positions of the one or more target electrodes (Fig. 7A-8B), such that the one or more muscles of the leg are induced to contract accordingly (Fig. 10; [0091]; [0106]; [0123]). Regarding claim 10, the combination of Robison and Nazari teaches wherein the sleeve is stretchable and constricts about the leg when worn by the subject so that the array of electrodes are pressed against the skin of the leg (Robison Fig. 7A-8B; [0106] “leggings”; [0107] “stretch material”; Nazari Fig. 14; [0065] “stretchable fabric”; [0066]). Regarding claim 11, Robison teaches an apparatus providing walking assistance for a subject with a neurological impairment ([0123]), the apparatus comprising: device arranged to be fitted on a leg of the subject (Fig. 7A-8B; [0106] “leggings”; [0107] “stretch material”). Robison does not teach a sleeve arranged to be fitted on a leg of the subject. Note that Robison teaches stretch material over legs (Fig. 7A-8B; [0106] “leggings”; [0107] “stretch material”). However, for the sake of clarity and to avoid doubt, Nazari teaches in the same field of endeavor (Abstract; [0054] “Parkinson’s disease”) a sleeve arranged to be fitted on a leg of the subject (Fig. 14; [0065] “stretchable fabric”; [0066]). Thus it would have been obvious to a person of ordinary skill in the art before the effective filing date of the invention to modify the teaching of Robison to include this feature as taught by Nazari because this is a suitable shape for treating movement disorders (Fig. 11; Fig. 14; [0054]; [0065]-[0066]), furthermore, this would be an obvious change in shape; MPEP 2144.04. The combination of Robison and Nazari teaches an array of electrodes carried by the sleeve and positioned to make contact with a skin of the leg when the sleeve is fitted to the subject (Robison Fig. 7A-7B; [0106]; Nazari claims 13-14); and at least one processor carried by the sleeve and which executes computer program code from at least one memory, wherein the at least one memory and the computer program code are configured, with the at least one processor (Robison Fig. 1; [0034] “For example, the devices 120a and 120b may include additional components such as one or more processors (e.g., a general purpose processor and digital signal processor)… the mobility augmentation system 130 may perform the functionality of the controller 121 (i.e., the controller 121 is encompassed within the system 130).”; [0035] “The mobility augmentation devices 120a and 120b may have various, wearable form factors such as… leggings… any wearable form factor suitable for targeting a particular muscle group on a user's body, or a combination thereof.”; Nazari [0065] “wearable device 16 may further comprise a microcontroller…microcontroller can be a processor”), to cause the apparatus at least to: collect electromyography (EMG) data from the array of electrodes, the EMG data being indicative of muscle activity in the leg (Robinson Fig. 1; Fig. 3; [0062]-[0063]; [0106]; [0123]); model the EMG data to determine assistive neuromuscular electrical stimulation (NMES) for improving a gait of the subject (Robinson Fig. 2-3; Fig. 10-11; [0007]; [0062]-[0064]; [0091]; [0123]); and trigger energization of one or more targeted electrodes in accordance with the determined assistive NMES (Robinson Fig. 2-3; Fig. 10-11; [0007]; [0062]-[0064]; [0091]; [0123]). Regarding claim 13, in the combination of Robison and Nazari, Robison teaches wherein the sleeve further includes an inertial measurement unit (IMU) that is responsive to movement of the leg (Fig. 3; [0004]; [0062]; [0091]-[0092]) and wherein the at least one memory and the computer program code are configured, with the at least one processor (Fig. 1; Fig. 3; [0034]), to further cause the apparatus at least to: obtain motion data from the IMU indicative of movement of the leg (Fig. 3; [0004]; [0062]; [0091]-[0092]); wherein the assistive NMES is further determined based on the motion data from the IMU (Fig. 3; Fig. 10; [0091]-[0092]; [0123]). Regarding claim 14, in the combination of Robison and Nazari, Robison teaches wherein the assistive NMES is further determined by estimating a phase of a gait cycle of the subject based on the EMG data and/or motion data from an inertial measurement unit (IMU) that is indicative of movement of the leg (Fig. 4-5; Fig. 14; [0063]-[0062]; [0123]). Regarding claim 15, the combination of Robison and Nazari teaches wherein the at least one processor executing the computer program code from the at least one memory further provides a user interface via which a clinician can adjust the modeling of the EMG data to determine the assistive NMES (Robison Fig. 1; [0034] “input interface”; [0038]; [0048]; [0074]; Nazari [0088]). Regarding claim 18, Robison teaches a method for detecting and overcoming freezing of gait (FoG) ([0123]), the method comprising: monitoring muscle activity of a leg of a subject with an array of electrodes positioned in contact with a skin of the leg (Fig. 7A-8B; [0106] “leggings”; [0107] “stretch material”). Robison does not teach the array of electrodes being carried by a sleeve worn on the leg. Note that Robison teaches stretch material over legs (Fig. 7A-8B; [0106] “leggings”; [0107] “stretch material”). However, for the sake of clarity and to avoid doubt, Nazari teaches in the same field of endeavor (Abstract; [0054] “Parkinson’s disease”) the array of electrodes being carried by a sleeve worn on the leg (Fig. 14; [0065] “stretchable fabric”; [0066]). Thus it would have been obvious to a person of ordinary skill in the art before the effective filing date of the invention to modify the teaching of Robison to include this feature as taught by Nazari because this is a suitable shape for treating movement disorders (Fig. 11; Fig. 14; [0054]; [0065]-[0066]), furthermore, this would be an obvious change in shape; MPEP 2144.04. In the combination of Robison and Nazari, Robison teaches identifying an onset of a FoG episode based on the monitored muscle activity ([0123]); and selectively energizing of a subset comprising one or more targeted electrodes of the array of electrodes in response to identification of the onset of the FoG episode to remediate the FoG episode (Fig. 4; Fig. 10 “Determine actuation signals…Apply the actuation signals to one or more…”; [0012]; [0040] “actuators 12 may have varying types including electric”; [0043] “The actuators 122 may implement templated sequencing, applying actuation signals based on templates associated with particular movements… the templates include a sequence of mappings between specific events in a movement that corresponds to the beginning of ending of a specific muscle firing. The sequence of mappings are organized chronologically in the order in which the events occur in a movement. For example, a template for a gait can include events associated with a foot leaving the ground followed by events associated with a leg lift, swing, and finally, the heel of the foot striking the ground to complete the gait.”; [0058] “The user-specific modifications may include adjustments to actuation strategies with predefined actuation parameters such…actuators used (i.e., in an arrayed actuation configuration where an array of actuators is used to augment movement)”; [0071] “An actuation strategy…for an arrayed orientation of multiple actuators coupled to the mobility augmentation system 130, which actuators are used to apply the signals.”; [0113] “the system 130 uses the actuators 122 to apply the determined 1003 actuation signals to target locations on the user's body.”; [0091]; [0123] “four-channel FES array that activates different muscles. The location and duration of the FES can be customized to the patient's needs.”). Regarding claim 19, in the combination of Robison and Nazari, Robison teaches monitoring motion of the leg (Fig. 3; [0004]; [0062]; [0091]-[0092]); and determining a phase of the subject's gait within a gait cycle base at least in part on the monitored motion (Fig. 4-5; Fig. 14; [0063]-[0062]; [0123]). Regarding claim 20, in the combination of Robison and Nazari, Robison teaches selecting one or more of the array of electrodes as the one or more target electrodes that are selectively energized based on the determined phase of the subject's gait (Fig. 4; Fig. 10 “Determine actuation signals…Apply the actuation signals to one or more…”; [0012]; [0040] “actuators 12 may have varying types including electric”; [0043] “The actuators 122 may implement templated sequencing, applying actuation signals based on templates associated with particular movements… the templates include a sequence of mappings between specific events in a movement that corresponds to the beginning of ending of a specific muscle firing. The sequence of mappings are organized chronologically in the order in which the events occur in a movement. For example, a template for a gait can include events associated with a foot leaving the ground followed by events associated with a leg lift, swing, and finally, the heel of the foot striking the ground to complete the gait.”; [0058] “The user-specific modifications may include adjustments to actuation strategies with predefined actuation parameters such…actuators used (i.e., in an arrayed actuation configuration where an array of actuators is used to augment movement)”; [0071] “An actuation strategy…for an arrayed orientation of multiple actuators coupled to the mobility augmentation system 130, which actuators are used to apply the signals.”; [0113] “the system 130 uses the actuators 122 to apply the determined 1003 actuation signals to target locations on the user's body.”; [0091]-[0092]; [0123] “four-channel FES array that activates different muscles. The location and duration of the FES can be customized to the patient's needs.”). Claim(s) 12 is/are rejected under 35 U.S.C. 103 as being unpatentable over Robison and Nazari as applied to claim 11 above, and further in view of Sharma (US 20200406035 A1; 12/31/2020; cited in previous office action). Regarding claim 12, the combination of Robison and Nazari does not teach wherein the EMG data is modeled to determine the assistive NMES by operations including performing muscle unit (MU) decomposition of the EMG data. However, Sharma teaches in the same field of endeavor (Abstract; Fig. 1) wherein the EMG data is modeled to determine the assistive NMES by operations including performing muscle unit (MU) decomposition of the EMG data (Fig. 2; [0017]; [0030]; [0041]). Thus it would have been obvious to a person of ordinary skill in the art before the effective filing date of the invention to modify the teaching of Robison and Nazari to include this feature as taught by Sharma because this enables increased accuracy in EMG signal processing (Fig. 2; [0017]; [0030]). Claim(s) 16-17 is/are rejected under 35 U.S.C. 103 as being unpatentable over Robison and Nazari as applied to claim 11 above, and further in view of Herr (US 20130310979 A1; 11/21/2013; cited in previous office action). Regarding claim 16, the combination of Robison and Nazari does not teach wherein the modeling of the EMG data to determine the assistive NMES for improving the gait of the subject includes modeling the EMG data to determine a joint torque for improving the gait. However, Herr teaches in the same field of endeavor (Abstract; Fig. 1) wherein the modeling of the EMG data to determine the assistive NMES for improving the gait of the subject includes modeling the EMG data to determine a joint torque for improving the gait ([0084] “model…joint torques”; [0339]). Thus it would have been obvious to a person of ordinary skill in the art before the effective filing date of the invention to modify the teaching of Robison and Nazari to include this feature as taught by Herr because this can improve the intended movement derived from EMG via biomimetic approach ([0084]; [0339]). Regarding claim 17, the combination of Robison, Nazari, and Herr teaches wherein the modeling of the EMG data to determine the joint torque for improving the gait comprises modeling using a reinforcement learning (RL) model (Robison [0060] “EMG…reinforcement learning”; [0077]; Nazari [0084]; [0339]). Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Brokaw (US 9974478 B1; 5/22/2018) teaches electrical stimulation to muscle groups for improving gait (Abstract; Fig. 7; Fig. 21) in which there are up to four channels of stimulation where each channel can deliver electrical impulses to a different target muscle (Col. 28 lines 54-60). 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 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 nonprovisional extension fee (37 CFR 1.17(a)) 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. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Jonathan T Kuo whose telephone number is (408)918-7534. The examiner can normally be reached M-F 10 a.m. - 6 p.m. PT. 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, Niketa Patel can be reached at 571-272-4156. 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. /JONATHAN T KUO/ Primary Examiner, Art Unit 3792
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Prosecution Timeline

Oct 25, 2023
Application Filed
Dec 12, 2025
Non-Final Rejection (signed) — §103
Jan 13, 2026
Non-Final Rejection mailed — §103
May 08, 2026
Response Filed
May 28, 2026
Final Rejection mailed — §103 (current)

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Prosecution Projections

3-4
Expected OA Rounds
72%
Grant Probability
99%
With Interview (+28.0%)
2y 11m (~2m remaining)
Median Time to Grant
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