IP Library › Granted Patent US 12,736,370
Granted Patent B2
US 12,736,370 · App. 18/144,550 · Granted Sep 15, 2026

Device and method for detecting a step taken with a walking aid

Inventors: Illia Popov (Dnipro, UA); Vitalii Bilyi (Kyiv, UA)
G01C22/006A61H3/02A45B2200/05A61H2201/5061A61H2201/5084G16H40/40
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Quick Facts
Patent No.
US 12,736,370
App. No.
18/144,550
Granted
Sep 15, 2026
Kind
B2
Abstract

In one aspect, a method of detecting a step taken by a patient with a walking aid is disclosed. At least one load sensor detects a transitory positive load upon the walking aid having a maximum load value that exceeds a positive load threshold. A duration of the transitory positive load is measured. A verification is made that the measured duration of the transitory positive load upon falls within a range. The load sensor(s) and a motion sensor further detect an unweighted movement of the walking aid exceeding a movement threshold. A duration of the unweighted movement is measured. A further verification is made that the duration of the unweighted movement of the walking aid exceeds a minimum recovery phase duration threshold. Conditionally upon the detecting, the verifying, the further detecting, and the further verifying, an indicator of the step is stored in a non-transitory memory.

Claims (36)

1 . An electronic device for detecting a step taken by a patient with a walking aid, the device comprising:

at least one load sensor configured to measure a load on the walking aid;

a motion sensor;

a non-transitory memory; and

a processor, communicatively coupled to the at least one load sensor, to the motion sensor, and to the non-transitory memory, the processor operable to:

detect, using the at least one load sensor, a transitory positive load upon the walking aid having a maximum load value that exceeds a positive load threshold;

measure a duration of the transitory positive load upon the walking aid;

verify that the measured duration of the transitory positive load upon the walking aid falls within a range defined by a lower positive duration threshold and an upper positive duration threshold;

further detect, using the at least one load sensor and the motion sensor, an unweighted movement of the walking aid exceeding a movement threshold;

measure a duration of the unweighted movement of the walking aid;

further verify that the duration of the unweighted movement of the walking aid exceeds a minimum recovery phase duration threshold; and

conditionally upon the detecting, the verifying, the further detecting, and the further verifying, store an indicator of the step in the non-transitory memory.

2 . The electronic device of claim 1 wherein the motion sensor comprises an accelerometer and wherein the movement threshold is a minimum acceleration threshold.

3 . The electronic device of claim 1 wherein the positive load threshold is dynamically configurable.

4 . The electronic device of claim 1 wherein the positive load threshold is based, at least in part, on a weight of the patient.

5 . The electronic device of claim 1 wherein the positive load threshold is based, at least in part, on a type of the walking aid.

6 . The electronic device of claim 5 wherein the processor is operable to:

receive user input indicative of the type of the walking aid; and

dynamically configure the positive load threshold based on the received user input indicative of the type of the walking aid.

7 . The electronic device of claim 1 wherein the further detecting detects the unweighted movement of the walking aid occurring after and contiguously with the detected transitory positive load upon the walking aid.

8 . A computer-implemented method of detecting a step taken by a patient with a walking aid, the method comprising:

detecting, by at least one load sensor, a transitory positive load upon the walking aid having a maximum load value that exceeds a positive load threshold;

measuring a duration of the transitory positive load upon the walking aid;

verifying that the measured duration of the transitory positive load upon the walking aid falls within a range defined by a lower positive duration threshold and an upper positive duration threshold;

further detecting, by the at least one load sensor and a motion sensor, an unweighted movement of the walking aid exceeding a movement threshold;

measuring a duration of the unweighted movement of the walking aid;

further verifying that the duration of the unweighted movement of the walking aid exceeds a minimum recovery phase duration threshold; and

conditionally upon the detecting, the verifying, the further detecting, and the further verifying, storing an indicator of the step in a non-transitory memory.

9 . The computer-implemented method of claim 8 wherein the motion sensor comprises an accelerometer and wherein the movement threshold is a minimum acceleration threshold.

10 . The computer-implemented method of claim 8 wherein the positive load threshold is dynamically configurable.

11 . The computer-implemented method of claim 8 wherein the positive load threshold is based, at least in part, on a weight of the patient.

12 . The computer-implemented method of claim 8 wherein the positive load threshold is based, at least in part, on a type of the walking aid.

13 . The computer-implemented method of claim 12 further comprising:

receiving user input indicative of the type of the walking aid; and

dynamically configuring the positive load threshold based on the received user input indicative of the type of the walking aid.

14 . The computer-implemented method of claim 8 wherein the further detecting detects the unweighted movement of the walking aid occurring after and contiguously with the detected transitory positive load upon the walking aid.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 8, 2023
From: BILYI, VITALII
To: POPOV, ILLIA
Reel/Frame 063567/0711 →
Continuity (1)
Related Publication 20240377224A1 · Nov 14, 2024
References Cited (45)
US 3915132A · Thornburgh · 1975 [cited by applicant]
US 5511571A · Adrezin et al. · 1996 [cited by applicant]
US 7610802B2 · Clar et al. · 2009 [cited by applicant]
US 8758272B2 · Kubiak et al. · 2014 [cited by applicant]
US 9360343B2 · Stevens et al. · 2016 [cited by applicant]
US 9826806B2 · Challa · 2017 [cited by applicant]
US 10722144B2 · Nakao · 2020 [cited by applicant]
US 10733866B2 · Rabinowitz et al. · 2020 [cited by applicant]
US 10799154B2 · Sarkar et al. · 2020 [cited by applicant]
US 10849395B2 · Aubin et al. · 2020 [cited by applicant]
US 11207003B2 · Fukushi · 2021 [cited by examiner]
US 20060273913A1 · Clar et al. · 2006 [cited by applicant]
US 20170224573A1 · Challa · 2017 [cited by examiner]
US 20180296426A1 · Kappel · 2018 [cited by applicant]
US 20190231631A1 · Campilii · 2019 [cited by applicant]
US 20190240103A1 · Hepler et al. · 2019 [cited by applicant]
CN 103340735B · 2015 [cited by applicant]
CN 111956226 · 2020 [cited by applicant]
DE 2704520A1 · 1978 [cited by applicant]
DE 10214745A1 · 2003 [cited by applicant]
DE 102009057424B4 · 2012 [cited by applicant]
DE 102013001192A1 · 2014 [cited by applicant]
EP 1519701B1 · 2009 [cited by applicant]
EP 2729096A1 · 2014 [cited by applicant]
EP 2688472B1 · 2016 [cited by applicant]
EP 3838143A1 · 2021 [cited by applicant]
ES 1249804U · 2020 [cited by applicant]
FR 3088533A1 · 2020 [cited by applicant]
UA 144685U · 2021 [cited by applicant]
WO 200136051 · 2001 [cited by applicant]
WO 2013134330 · 2013 [cited by applicant]
WO 2021234208A1 · 2021 [cited by applicant]
WO 2022013678A1 · 2022 [cited by applicant]
WO 2022074540 · 2022 [cited by applicant]
WO 2022079564A1 · 2022 [cited by applicant]
Narvaez, Marien et al., Gait Patterns Monitoring Using Instrumented Forearm Crutches, International Conference on Computers Helping People with Special Needs (ICCHP 2020), LNCS 12377, pp. 402-410. Sep. 4, 2020, Departme… [cited by applicant]
Sesar, Inigo et al., Instrumented Crutch Tip for Monitoring Force and Crutch Pitch Angle, Multidisciplinary Digital Publishing Institute (MDPI) Sensors, 2019, 19, 2944, Published Jul. 4, 2019, https://www.mdpi.com/1424-… [cited by applicant]
Sardini, Emilio et al., Wireless Instrumented Crutches for Force and Movement Measurements for Gait Monitoring, IEEE Transactions on Instrumentation and Measurement, 2015, vol. 64, Issue 12. [cited by applicant]
Chen, Yongqi Felix et al., Smart Crutches: Towards Instrumented Crutches for Rehabilitation and Exoskeletons-Assisted Walking, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) E… [cited by applicant]
Merrett, Geoff V. et al., Augmenting forearm crutches with wireless sensors for lower imb rehabilitation, Measurement Science and Technology , vol. 21 (12): 10—Dec. 1, 2010. [cited by applicant]
Seylan, Caglar, Estimation of ground reaction forces using forearm crutches instrumented with pressure sensors and accelerometers, Thesis—Middle East Technical University, Feb. 2016. [cited by applicant]
Popov, Illia, Ukrainian transcript of YouTube Video ComeBack Mobility [cited by applicant]
Popov, Illia, transcript of YouTube Video ComeBack Mobility [cited by applicant]
International Search Report and Written Opinion for International PCT patent application No. PCT/IB2022/060731 dated Jan. 31, 2023. [cited by applicant]
Megalingam Rajesh Kannan et al., “Design and Implementation of Intelligent Crutches for Medical Applications,” 2019 International Conference on Communication and Signal Processing (ICCSP), IEEE, Apr. 4, 2019, pp. 926-92… [cited by applicant]