EP4258927A1 - A computer implemented method for selecting a shape of a rocker outsole - Google Patents

A computer implemented method for selecting a shape of a rocker outsole

Info

Publication number
EP4258927A1
EP4258927A1 EP21836377.8A EP21836377A EP4258927A1 EP 4258927 A1 EP4258927 A1 EP 4258927A1 EP 21836377 A EP21836377 A EP 21836377A EP 4258927 A1 EP4258927 A1 EP 4258927A1
Authority
EP
European Patent Office
Prior art keywords
rocker
outsole
simulated
shape
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP21836377.8A
Other languages
German (de)
French (fr)
Inventor
Juha Markus Hijmans
Laurens VAN KOUWENHOVE
Gijsbertus Jacob Verkerke
Klaas POSTEMA
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Rijksuniversiteit Groningen
Academisch Ziekenhuis Groningen
Original Assignee
Rijksuniversiteit Groningen
Academisch Ziekenhuis Groningen
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Rijksuniversiteit Groningen, Academisch Ziekenhuis Groningen filed Critical Rijksuniversiteit Groningen
Publication of EP4258927A1 publication Critical patent/EP4258927A1/en
Withdrawn legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A43—FOOTWEAR
    • A43B—CHARACTERISTIC FEATURES OF FOOTWEAR; PARTS OF FOOTWEAR
    • A43B13/00—Soles; Sole-and-heel integral units
    • A43B13/14—Soles; Sole-and-heel integral units characterised by the constructive form
    • A43B13/143—Soles; Sole-and-heel integral units characterised by the constructive form provided with wedged, concave or convex end portions, e.g. for improving roll-off of the foot
    • A43B13/145—Convex portions, e.g. with a bump or projection, e.g. 'Masai' type shoes
    • A—HUMAN NECESSITIES
    • A43—FOOTWEAR
    • A43D—MACHINES, TOOLS, EQUIPMENT OR METHODS FOR MANUFACTURING OR REPAIRING FOOTWEAR
    • A43D1/00—Foot or last measuring devices; Measuring devices for shoe parts
    • A43D1/02—Foot-measuring devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1036—Measuring load distribution, e.g. podologic studies
    • A61B5/1038—Measuring plantar pressure during gait
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y50/00—Data acquisition or data processing for additive manufacturing
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y80/00—Products made by additive manufacturing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • A—HUMAN NECESSITIES
    • A43—FOOTWEAR
    • A43D—MACHINES, TOOLS, EQUIPMENT OR METHODS FOR MANUFACTURING OR REPAIRING FOOTWEAR
    • A43D2200/00—Machines or methods characterised by special features
    • A43D2200/10—Fully automated machines, i.e. machines working without human intervention
    • A—HUMAN NECESSITIES
    • A43—FOOTWEAR
    • A43D—MACHINES, TOOLS, EQUIPMENT OR METHODS FOR MANUFACTURING OR REPAIRING FOOTWEAR
    • A43D2200/00—Machines or methods characterised by special features
    • A43D2200/60—Computer aided manufacture of footwear, e.g. CAD or CAM
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/18—Manufacturability analysis or optimisation for manufacturability
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning

Definitions

  • the invention is related to a computer implemented method of selecting an individualized rocker outsole for manufacturing the rocker outsole by a rocker outsole manufacturing device, wherein data representing the selected rocker outsole is outputted which is suitable for manufacturing the rocker outsole by a rocker outsole manufacturing device, wherein the shape of the rocker outsole is determined by a set of rocker outsole shape parameters.
  • the invention is further related to a method for manufacturing a rocker outsole with a shape determined by the computer implemented method of the invention.
  • the invention is further related to a rocker outsole with a shape determined by the computer implemented method of the invention.
  • the invention is further related to a rocker shoe having a rocker outsole having a rocker outsole shape determined by the computer implemented invention.
  • the invention is further related to a computer for performing the computer implemented invention.
  • rocker outsoles Shoe outsoles with added thickness and curvatures at both the heel and forefoot region are called rocker outsoles.
  • Rocker outsoles may be used to influence a gait of a person wearing them.
  • Rocker outsoles may have a number of advantageous properties.
  • Rocker outsoles may influence the gait of the user by offloading some of the pressure on certain areas of the foot during a gait of the user.
  • US 2018/0343981 A1 discloses a computer implemented system and methods for design, evaluation, and/or manufacture of protective footwear, such as shoes, braces, boots, casts, corrective footwear, and orthoses.
  • the system includes suitable hardware, software, and related peripherals, which function to acquire data related to the patient’s particular footwear needs, such as by image capture, including three-dimensional scanning.
  • WO 2016/176351 discloses a rocker shoe with a lower rocker surface extending across the plantar surface of the shoe sole from the heel and terminating short of the toe.
  • the document discloses a rocker shoe construction kit for converting a normal shoe into a rocker shoe.
  • the shape of the rocker sole may be such that no motion is produced at the ankle during the single-limb support phase of walking.
  • a construction kit may comprise outsoles with different profiles so that the medical professional may design the outsole which has the appropriate rocker profile for a specific user.
  • a sole may be selected based on height and desired rocker motion.
  • rocker shoe and/or the rocker outsole of the art are selected based on a trial and error procedure wherein many rocker outsoles have to be tried by the user before the correct rocker outsole is selected.
  • the user of the shoe may not receive an effective rocker shoe because the user receives the rocker outsole based on the knowledge of the professional supplying the shoe and the available rocker outsole shapes.
  • the selection of the rocker shoe for the user is prone to errors.
  • a shape of an individualized rocker outsole made by a craftsman may also not always be selected optimally.
  • the invention seeks to provide a computer implemented method of selecting an rocker outsole shape.
  • the invention provides a computer implemented method of selecting an individualized rocker outsole according to claim 1 .
  • the computer implemented method of claim 1 selects a rocker outsole shape for a user and outputs data representing this rocker outsole shape for manufacturing the rocker outsole by a rocker outsole manufacturing device.
  • the computer implemented method is a repeatable method for selecting a rocker outsole without the need to provide a number of trial rocker outsoles for the user to try. The method further does not rely on craftsmanship or expertise of a professional in selecting the rocker outsole shape.
  • An effect of a rocker shoe having a selected rocker outsole shape on the gait cycle of the user is predicted by the simulation of the gait cycle by the computer.
  • the shape of the rocker outsole is determined by a set of rocker outsole shape parameters which set of rocker outsole shape parameters comprises at least one of: o a rocker outsole thickness; o a rocker outsole stiffness, e.g. a longitudinal bending stiffness; o a front apex position; o a front apex angle; o a front rocker radius; o a back apex position; o a back apex angle; and o a back rocker radius.
  • These shape parameters determine the thickness of the rocker outsole, the longitudinal bending stiffness of the rocker outsole, the front and back apex positions, the front and back apex angles, and the front and back rocker radius.
  • the rocker outsole thickness is related to the difference between the smallest part of the rocker outsole, e.g. near the toe, and the thickest part of the rocker outsole, e.g. near the middle of the outsole.
  • the rocker outsole stiffness e.g. the longitudinal bending stiffness of the rocker outsole, is related to how bendable the rocker outsole is in the longitudinal direction at the location of the forefoot. For example a rocker outsole with a higher stiffness is more difficult to bend than a rocker outsole with a lower stiffness.
  • the rocker outsole stiffness may depend on the location on the rocker outsole. For example the rocker outsole may be stiffer near the heel and toe and less stiff near the forefoot. This allows the rocker outsole to distribute pressure differently in different parts of the foot.
  • the apex position is the location on the outsole, e.g. a location along a longitudinal direction of the outsole, where the outsole starts to curve.
  • the outsole may be substantially flat between the front and back apex positions. In front of the front apex position and behind the back apex positions the outsole is curved. For example, the front apex position gives the position near the front of the outsole where the outsole starts curving.
  • the front and back apex angles are related to the front and back apex positions.
  • the outsole may start curving along a line tilted relative to the longitudinal of the outsole. This tilt is the apex angle.
  • the front and back rocker radius are related to the curvature of the rocker outsole from the apex position. A greater rocker radius implies a smaller curvature of the rocker outsole.
  • the computer implemented method of the invention selects a shape of the rocker outsole by determining distinct sets of rocker outsole shape parameters which comprises at least one of the rocker sole shape parameters. In examples, it is possible that additional parameters are needed to fully determine the shape of the outsole, such as shoe size. In examples, another set of shape parameters may be used to determine the shape of the rocker outsole.
  • the invention is not limited to the eight shape parameters shown in claim 1 . The invention also extends to other, possibly equivalent, sets of shape parameters used to determine a shape of the rocker outsole. Depending on the situation various biomechanical parameters may be measured, however at least a plantar pressure and/or kinetics and kinematics of the gait cycle of the user are measured according to the computer implemented method of the invention.
  • the method makes use of a computer comprising a processor and a database, wherein the processor is configured to run a gait cycle simulation model for simulating a gait cycle of the user based on biomechanical parameters of the user and rocker outsole shape parameters, wherein the processor is configured to access the database for retrieving data stored therein and wherein the processor is configured to access the database for storing data therein.
  • the method further makes use of one or more measuring devices for measuring the one or more biomechanical parameters.
  • the measuring device may be a standardized measuring shoe.
  • One of the measuring devices may further be a system for analyzing the gait of the user, e.g. based on a video input and/or based on markers placed on a foot and/or a leg of the user. Other measuring devices are also possible.
  • biomechanical parameters examples include: a pressure on the foot during a gait cycle, static and dynamic balance, a center of pressure trajectory during a gait cycle of the user, an ankle angle of a user during a gait cycle, a foot-to-horizontal angle of a user during a gait cycle, a shank-to-vertical angle during the gait cycle of the user, a ground reaction force during a gait cycle of the user, an ankle moment during the gait cycle of the user, and an ankle moment arm during the gait cycle of the user.
  • some of these biomechanical parameters may be measured, while others may be inferred from the measured biomechanical parameters, e.g. by the gait cycle simulation model run on the computer.
  • the method comprises the following steps: measuring one or more biomechanical parameters of the user by using a measuring device, e.g. a standardized measuring shoe, wherein the measured biomechanical parameters comprise a plantar pressure of a foot of the user during a gait cycle of the user and/or kinetics and kinematics of the gait cycle of the user; inputting the measured biomechanical parameters into the computer, e.g.
  • the measuring device determines critical values of one or more of the measured biomechanical parameters of the user and storing the critical values in the database; determining various distinct rocker outsole shapes by choosing distinct sets of rocker outsole shape parameters, wherein the rocker outsole shape parameters are chosen between shape parameter limit values and storing the distinct rocker outsole shapes in the database; simulating on the computer by the gait cycle simulation model, for each of the distinct rocker outsole shapes, a gait cycle of the user wearing a rocker shoe comprising a rocker outsole according to the corresponding distinct rocker outsole shape, wherein the gait cycle simulation model simulates the simulated gait cycle based on the distinct rocker outsole shapes and on the measured biomechanical parameters of the gait cycle of the user stored in the database; determining, for each of the simulated gait cycles, corresponding simulated biomechanical parameters of the user and corresponding simulated critical values based on the corresponding simulated gait cycle and storing the simulated biomechanical parameters and the simulated critical
  • the distinct rocker outsole shape may also be determined by comparing the corresponding simulated biomechanical parameters to the corresponding measured biomechanical parameters.
  • the biomechanical parameters are measured with a measuring device, e.g. a standardized measuring shoe, e.g. for measuring pressure.
  • a measuring device e.g. a standardized measuring shoe, e.g. for measuring pressure.
  • the shoe may have an instrumented insole in the shoe which measures pressure during a gait cycle of the user. In this way pressure at multiple points, e.g. 99 points per foot, of the foot may be measured.
  • the kinematics of the user may be measured through motion capture and the kinetics of the gait may be measured by force plates or in shoe pressure, for example by a pressure measuring insole. Additional methods of measuring may be employed.
  • the plantar pressure on a foot of the user during a gait cycle may be a pressure at a single point or multiple pressures at multiple points of the foot.
  • Other ways to measure the biomechanical parameters are also possible.
  • the foot and lower leg of the user may be provided with reflective markers. The user may then be filmed during a gait cycle, such that the markers show the location of e.g. joints during the gait cycle. This may provide information, e.g., on the shank-to-vertical angle during the gait cycle.
  • the measured biomechanical parameters are inputted into the computer. This may be done automatically by the measuring device, e.g. when the measuring device is connected to the database. The measured biomechanical parameters may also be inputted into the computer manually.
  • the critical values of the biomechanical parameters of the user may be measured. For example, dorsiflexion of the ankle may be measured by pivoting the angle until a maximal angle is achieved. Limitations of peak ankle dorsiflexion has influence on multiple biomechanical parameters, such as the center of pressure trajectory.
  • the critical values may also be determined from examination of the user. The critical values are stored in the database for future reference.
  • the simulated critical values of the simulated biomechanical parameters of the user are determined based on the corresponding simulated gait cycle.
  • the simulated gait cycle may include ankle pivoting such that a simulated critical value related to dorsiflexion may be determined from the simulated maximal ankle angle.
  • rocker outsole shapes are determined by choosing distinct sets of rocker outsole shape parameters, wherein the rocker outsole shape parameters are chosen between shape parameter limit values.
  • the front apex position may be chosen between 50% and 70% of the outsole length along a longitudinal axis of the outsole.
  • the shape parameter limit values in this example are the 50% and 70% of the outsole length. These limit values may be determined based on the measured biomechanical parameters and/or the critical values. By setting limit values for one or more shape parameters and choosing values between these parameters several rocker outsole shapes are determined by the sets of rocker outsole shape parameters.
  • an apex position and angle of the rocker outsole may be determined based on the pressure measurements.
  • the front apex position of the rocker outsole may be inferred from an ankle dorsiflexion instant and a center of pressure trajectory.
  • the ankle dorsiflexion instant is the point-in-time along the gait cycle of the user where the ankle has maximal dorsiflexion.
  • by fixing one or more of the rocker outsole shape parameters and varying other ones of the rocker outsole shape parameters distinct rocker outsole shapes are determined. For example, when the pressure and center of pressure trajectory are known, an apex position may be determined. Afterwards a outsole thickness may be varied. For example, from 10 mm to 30 mm in thickness.
  • the longitudinal bending stiffness of the outsole may be known and apex angles may be changed, for example, from 80 degrees to 100 degrees.
  • an apex position may be known and a apex angle, outsole thickness and outsole longitudinal bending stiffness may be varied (rigid vs. flexible).
  • a gait cycle of the user wearing a rocker shoe comprising a rocker outsole according to the corresponding distinct rocker outsole shape is simulated.
  • the simulation is performed by running the gait cycle simulation model on the computer.
  • the gait cycle simulation model uses the distinct rocker outsole shapes and the biomechanical parameters that are stored in the database for simulating the gait cycle of the user.
  • the gait cycle simulation model may determine an effect of the rocker outsole shapes on the gait cycle of the user through measured biomechanical parameters.
  • the gait cycle simulation model may determine a simulated gait cycle by determining the effect of a distinct rocker outsole shape on the gait cycle of the user by comparing the distinct rocker outsole shape to a footwear, e.g. a standardized shoe, such as a standardized measuring shoe, that the user was wearing when measuring the biomechanical parameters and, e.g., determining the effect of this difference on the gait cycle.
  • the gait cycle simulation model may be configured to relate a change in outsole shape to a change in gait cycle.
  • the gait cycle simulation model may determine relate a measured biomechanical parameter to one or more shape parameters and determine an effect of, e.g. a change of, the shape parameters on the biomechanical parameter.
  • the method makes use of the gait cycle simulation model for simulating a gait cycle of the user based on biomechanical parameters of the user and rocker outsole shape parameters.
  • a simulated biomechanical parameter may be the pressure on the foot of the user.
  • ankle moment and ankle moment arm during a gait of the user are simulated for each of the distinct rocker outsole shapes.
  • One of the distinct rocker outsole shapes is selected by comparing the corresponding simulated biomechanical parameters of the distinct rocker outsole shapes to the critical values, wherein at least one simulated critical value of the simulated biomechanical parameters is lower than the corresponding critical value of the measured biomechanical parameters.
  • the rocker outsole shape with the lowest peak pressure on the foot of the user is selected.
  • the selection process may be based on a critical value related to the ankle moment or ankle moment arm.
  • rocker outsole shape has a simulated critical value lower than the corresponding critical value
  • all rocker outsole shapes and corresponding biomechanical parameters and critical values may be presented to an operator for selecting one of the outsole shapes.
  • one distinct rocker outsole shape is selected based on secondary requirements, e.g. multiple simulated critical value lower than corresponding critical value or a lowest simulated critical value.
  • Data representing the selected rocker outsole shape for manufacturing the individualized rocker outsole is outputted by the computer. This data may be used to manufacture a rocker outsole or a rocker shoe, e.g. by 3D printing.
  • a family of rocker outsole shapes is determined by the computer implemented method. This family of rocker outsole shapes is suitable for the user because they are based on the biomechanical parameters measured from the user.
  • the method allows to select the appropriate rocker outsole shape for the user by comparing the simulated biomechanical parameter, e.g. a simulated corresponding critical value of the biomechanical parameter, with critical values stored in the database. This allows the shape of the rocker outsole to have a noticeable and desired effect on the gait cycle of the user without the user having to try a number of rocker shoes and without having to use expertise of a professional in selecting the shape.
  • the method may use stored data in the database to select similar shapes for users with similar biomechanical parameters.
  • the system may potentially use information from past measurements and related rocker outsole shapes to determine optimal rocker outsole shapes for new users. This may be based for example on machine learning principles. It also allows the system to potentially spot errors when a rocker outsole shape deviates from previously obtained rocker outsole shapes.
  • the gait cycle simulation model uses the determined critical values of the measured biomechanical parameters that are stored in the database when simulating, for each rocker outsole shape, the gait cycle of the user wearing the rocker shoe comprising a rocker outsole according to the corresponding rocker outsole shape.
  • the gait cycle simulation model may use generic models to determine a gait cycle of the user.
  • use is made of the measured biomechanical parameters.
  • the gait cycle simulation model may simulate the gait of the user based on, possible additionally, the critical values, the shape parameter limit values and/or manual input. This may allow the gait cycle simulation model to provide a more accurate simulation of the gait cycle of the user wearing a rocker shoe.
  • the method further comprises: manufacturing the rocker outsole having the selected rocker outsole shape by the rocker outsole manufacturing device based on the outputted data.
  • the rocker outsole is manufactured. This may be done by the manufacturing device, e.g. a 3D printer, near where the biomechanical parameters were measured.
  • the rocker outsole may also be manufactured in a central location away from the location of the measurements and shipped to the user.
  • the rocker outsole manufacturing device may be a rocker shoe manufacturing device.
  • the distinct rocker outsole shapes are determined iteratively, e.g. wherein a next rocker outsole shape parameter set is chosen based on a previous rocker outsole shape parameter set, e.g. based on simulated biomechanical parameters corresponding to the previous rocker outsole shape parameter set. This may allow less simulation because an optimal shape of the outsole may be approximated in each iteration. This reduces computing time and increases efficiency.
  • the next rocker outsole shape parameter set is determined after simulated biomechanical parameters of a previous rocker outsole shape parameter set are determined. This may allow the method to terminate before simulating biomechanical parameters for each distinct rocker outsole shape, e.g. when a rocker outsole shape is found which has a suitable shape.
  • one of the critical values of the measured biomechanical parameters corresponds to the plantar pressure and wherein the simulated critical value of the plantar pressure of the selected rocker outsole shape is lower than the measured critical value of the plantar pressure.
  • the simulated critical value of the planter pressure of the selected rocker outsole shape is lower than 200kPa. It is found that this value is advantage for reducing load on the user and reducing wear of the outsole.
  • the distinct rocker outsole shapes have a distinct rocker outsole stiffness.
  • the longitudinal bending stiffness may be more rigid or more flexible depending on the biomechanical parameters. This embodiment may be particularly advantageous for users with a higher pressure on the foot. By determining the longitudinal bending stiffness, peak pressure may be offloaded.
  • the computer is adapted to perform machine learning and wherein the computer implemented method makes use of machine learning to determine the shape of the individualized rocker outsole.
  • the simulation process may become more efficient as the gait cycle simulation model gains more experience in running the simulation, e.g. based on previous simulations of gait cycles.
  • the simulated biomechanical parameters comprise a center of pressure trajectory of the foot of the user.
  • the center of pressure trajectory of the foot of the user during the gait cycle is the point under the foot as a function of normalized time where the center of pressure is located.
  • the center of pressure trajectory may be used to simulate the foot-to- horizontal angle and the ankle moment arm for a rocker profile.
  • the front apex position of the selected rocker outsole shape is selected based on the simulated center of pressure trajectory, e.g. by comparing the simulated center of pressure trajectory to a critical value based on a measured center of pressure trajectory.
  • load on the user e.g. on the ankle of the user
  • the measured biomechanical parameters and simulated biomechanical parameters further comprise a foot-to-horizontal angle during the gait cycle. It is possible that the foot-to-horizontal angle is determined in a way independent of the center of pressure trajectory, e.g. by foot markers. The foot-to-horizontal angle may be used to determine e.g. ankle moment arm and may help find values for the apex positions, apex angles and rocker outsole curvature.
  • the measured biomechanical parameters and simulated biomechanical parameters further comprise a shank-to-vertical angle during the gait cycle of the user.
  • the shank-to-vertical angle may be used to determine an ankle angle, and may help find values for the apex positions and rocker radius.
  • measured biomechanical parameters and simulated biomechanical parameters further comprise a ground reaction force during a gait cycle of the user.
  • the simulated biomechanical parameters comprise an ankle moment during the gait of the user, e.g. based on the measured center of pressure trajectory, measured foot-to-horizontal angle, and measured ground reaction force, e.g. a magnitude and/or direction of the ground reaction force.
  • the method further comprises:
  • the gait cycle simulation model may collect data of the first user from the database for selecting a shape of a rocker outsole of a second user.
  • this allows the method to make use of data obtained during a previous application of the method for the user. For example, this allows the method to look at differences that have occurred over time.
  • this embodiment allows to compare data obtained by the method between the different users.
  • the invention is further related to a rocker outsole having a rocker outsole shape determined by the method of the invention.
  • the invention is further related to a method for manufacturing the rocker outsole, wherein the rocker outsole shape is determined by the method of the invention.
  • the rocker outsole is manufactured using a 3D printer.
  • the invention is further related to a rocker shoe having a rocker outsole having a rocker outsole shape determined by the method according to the invention.
  • the invention is further related to a computer for performing the computer implemented method according to the invention.
  • the invention was shown to work in a number of studies.
  • the effect of the use of an individualized rocker sole according to the invention was studied on 17 people with Achilles tendinopathy.
  • the gait cycle of the 17 people was observed while walking on a standard shoe and on an individualized rocker shoe according to the invention by letting the people walk on a treadmill.
  • DF peak dorsiflexion
  • PFM peak plantar flexion moment
  • peak ankle power generation when using the individualized rocker shoe compared to the standard shoe.
  • a full gait analysis showed a significant decrease in DF and PFM during terminal stance and pre-swing.
  • figure 1 depicts a top view of a rocker outsole
  • figure 2 depicts a side view of the rocker outsole of figure 1
  • figure 3 depicts a second side view of the rocker outsole of figure 1
  • figure 4 depicts a side view of several rocker outsoles with different front rocker radii
  • figure 5 depicts a schematic side view of two rocker outsoles with different apex positions
  • figure 6 depicts a graph of an ankle angle during a gait cycle of a user wearing a measuring shoe and of a simulated ankle angle during a gait cycle
  • figure 7 depicts a flow chart of the method steps of the computer implemented invention
  • figure 8 depicts a schematic view of a computer for use in the computer implemented method.
  • Figure 1 depicts a top view of a rocker outsole 1 .
  • the front apex position 4 is shown as a distance from the heel of the rocker outsole 1 .
  • the front apex position 4 is determined in the figure by the point where the longitudinal axis 15 crosses the front rocker axis 11 .
  • the front rocker axis 11 is the line along which the rocker outsole 1 curves away from the floor 14 when the rocker outsole 1 is placed on the floor 14 as can be seen in figure 2.
  • Figure 1 further shows the front apex angle 5 which is the angle the front rocker axis 11 makes with the longitudinal axis 15.
  • the front apex angle 5 and the front apex position 4 determine the front rocker axis 11 , thus mathematically the front rocker axis 11 may be redundant when the front apex angle 5 and the front apex position 4 are known.
  • Figure 1 similarly shows the back apex position 7 as a distance from the heel of the rocker outsole 1 along the longitudinal axis 15.
  • the back rocker axis 13 makes is angled with respect to the longitudinal axis 15 by the back apex angle 8.
  • Figure 2 depicts a side view of the rocker outsole 1 of figure 1 .
  • the rocker outsole 1 is placed on the floor 14 such that the rocker outsole curves away from the floor along the front rocker axis 11 .
  • the angle with which the rocker outsole 1 curves away from the floor 14 is given by the front rocker angle 12, which alternatively is given by the front rocker radius 6 as shown in figure 3.
  • Figure 2 further shows the rocker outsole thickness 2 and the back apex position 7.
  • Figure 3 shows a second side view of the rocker outsole 1 of figures 1 and 2.
  • the front rocker radius 6 is shown.
  • the rocker outsole 1 curves away from the floor 14 near the front side at least approximately along a circle.
  • the radius of this circle is the front rocker radius 6.
  • the front rocker radius may also determine the front rocker angle 12.
  • the rocker outsole 1 also determines a back rocker radius 9 which is not explicitly shown in the figure. More in general, for the shape parameters associated with the front of the rocker outsole 1 , e.g. the front rocker radius 6, there exists a similar shape parameter associated with the back of the rocker outsole 1 , e.g. the back rocker radius 9.
  • Figure 4 depicts a side view of several rocker outsoles 1 with different front rocker radii 6.
  • the gait cycle of a user wearing these rocker outsoles 1 may be simulated by the gait cycle simulation model. Subsequently, for each of the rocker outsoles 1 , simulated biomechanical parameters of the user are determined.
  • Figure 5 depicts a schematic side view of two rocker outsoles 1 with different front apex positions 4.
  • the gait cycle simulation model simulates the gait cycle of the user wearing the different rocker outsoles 1 depicted in figure 5 and consequently determine for each of the two rocker outsoles 1 simulated biomechanical parameters, in this case the internal moment arm 15 and the external moment arm 16.
  • the optimal of the two shapes is determined.
  • a load on the user may be reduced.
  • the front apex position 4 determines the external moment arm 15 during the gait of the user, which in turn determines a load on the user.
  • the load is reduced.
  • Figure 6 depicts a graph of an ankle angle 18 during a gait cycle of a user wearing a measuring shoe and of a simulated ankle angle 17 during a gait cycle as simulated by the gait cycle simulation model.
  • the simulated ankle angle which is the biomechanical parameter in this example, is lower throughout the gait cycle compared to the measured ankle angle.
  • a critical value of the ankle angle is indicated by the dashed horizontal line, indicated by dorsiflexion boundary.
  • the simulated angle never reaches this dashed line.
  • the simulated outsole shape may be selected based on this graph.
  • the position of the apex position for the rocker outsole shape used for simulating the gait cycle is indicated as a percentage of the gait cycle by the vertical line.
  • the gait cycle simulation model may be used to determine, based on the simulated gait cycle, several biomechanical parameters such as depicted here.
  • FIG. 7 depicts a flow chart of the method steps of the computer implemented invention.
  • One or more biomechanical parameters of the user are measured 101 using a measuring device 22, e.g. by using a standardized measuring shoe 10, wherein the measured biomechanical parameters comprise a plantar pressure of a foot of the user during a gait cycle 17 of the user and/or kinetics and kinematics of the gait cycle 17 of the user.
  • the measured biomechanical parameters are inputted 102 into the computer 19, e.g. by the measuring device 22, and the measured biomechanical parameters are stored in the database 21.
  • Critical values of one or more of the measured biomechanical parameters of the user are determined 103 and the critical values are stored in the database.
  • the critical values are determined after measuring the biomechanical parameters.
  • the critical values are determined beforehand or independent of the measurement 101 . This may for example be the case when a rocker outsole shape is desired that has a maximal plantar pressure lower than 200kPA.
  • rocker outsole shapes are determined 104 by choosing distinct sets of rocker outsole shape parameters 4, 5, 6, 7, 8, wherein the rocker outsole shape parameters 4, 5, 6, 7, 8 are chosen between shape parameter limit values.
  • the distinct rocker outsole shapes are stored in the database 21 .
  • the shape parameter limit values may be chosen based on previous experience or based on the measurements of the biomechanical parameters.
  • the gait cycle simulation model is used to simulate 105, for each of the distinct rocker outsole shapes, a gait cycle 18 of the user wearing a rocker shoe 1 comprising a rocker outsole according to the corresponding shape.
  • the gait cycle simulation model uses the distinct rocker outsole shapes stored in the database 21 .
  • corresponding simulated biomechanical parameters of the user are determined 106. These simulated biomechanical parameters are determined based on the simulated gait cycle 18. The simulated biomechanical parameters are stored in the database.
  • One of the distinct rocker outsole shapes is selected 107 by comparing the corresponding simulated biomechanical parameters of the distinct rocker outsole shapes to the critical values, wherein at least one simulated critical value of the simulated biomechanical parameters is lower than the corresponding critical value of the measured biomechanical parameters.
  • data representing the selected rocker outsole shape is outputted 108 by the computer 19 for manufacturing the individualized rocker outsole by the rocker outsole manufacturing device.
  • the data may be used to manufacture, e.g. 3D print the rocker outsole 1 .
  • the method further comprises the step of manufacturing 109 the rocker outsole having the selected rocker outsole shape by the rocker outsole manufacturing device based on the outputted data.
  • Figure 8 depicts a schematic view of a computer 19 for use in the computer implemented method.
  • the computer 19 comprises a processor 20 and a database 21 , wherein the processor 20 is configured to run the gait cycle simulation model for simulating the gait cycle of the user.
  • the processor 20 is further configured to access the database 21 for retrieving data stored therein and for storing data in the database 21 .
  • Figure 8 further depicts a measuring device 22 connected to the computer 19.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Chemical & Material Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Materials Engineering (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Pathology (AREA)
  • Geometry (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computer Hardware Design (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Footwear And Its Accessory, Manufacturing Method And Apparatuses (AREA)

Abstract

The invention is related to computer implemented method of selecting an individualized rocker outsole (1) for manufacturing the rocker outsole by a rocker outsole manufacturing device, wherein the shape of the rocker outsole is determined by a set of rocker outsole shape parameters. The invention is further related to a method for manufacturing a rocker outsole with a shape determined by the computer implemented method. The invention is further related to a computer configured to run the gait cycle simulation model for simulating a gait cycle of the computer implemented method.

Description

Title: A COMPUTER IMPLEMENTED METHOD FOR SELECTING A SHAPE OF A
ROCKER OUTSOLE
The invention is related to a computer implemented method of selecting an individualized rocker outsole for manufacturing the rocker outsole by a rocker outsole manufacturing device, wherein data representing the selected rocker outsole is outputted which is suitable for manufacturing the rocker outsole by a rocker outsole manufacturing device, wherein the shape of the rocker outsole is determined by a set of rocker outsole shape parameters. The invention is further related to a method for manufacturing a rocker outsole with a shape determined by the computer implemented method of the invention. The invention is further related to a rocker outsole with a shape determined by the computer implemented method of the invention. The invention is further related to a rocker shoe having a rocker outsole having a rocker outsole shape determined by the computer implemented invention. The invention is further related to a computer for performing the computer implemented invention.
Shoe outsoles with added thickness and curvatures at both the heel and forefoot region are called rocker outsoles. Rocker outsoles may be used to influence a gait of a person wearing them. Rocker outsoles may have a number of advantageous properties. Rocker outsoles may influence the gait of the user by offloading some of the pressure on certain areas of the foot during a gait of the user.
US 2018/0343981 A1 discloses a computer implemented system and methods for design, evaluation, and/or manufacture of protective footwear, such as shoes, braces, boots, casts, corrective footwear, and orthoses. The system includes suitable hardware, software, and related peripherals, which function to acquire data related to the patient’s particular footwear needs, such as by image capture, including three-dimensional scanning.
WO 2016/176351 discloses a rocker shoe with a lower rocker surface extending across the plantar surface of the shoe sole from the heel and terminating short of the toe. The document discloses a rocker shoe construction kit for converting a normal shoe into a rocker shoe. The shape of the rocker sole may be such that no motion is produced at the ankle during the single-limb support phase of walking. A construction kit may comprise outsoles with different profiles so that the medical professional may design the outsole which has the appropriate rocker profile for a specific user. A sole may be selected based on height and desired rocker motion. A downside of this approach is that the rocker shoe and/or the rocker outsole of the art are selected based on a trial and error procedure wherein many rocker outsoles have to be tried by the user before the correct rocker outsole is selected. Additionally, the user of the shoe may not receive an effective rocker shoe because the user receives the rocker outsole based on the knowledge of the professional supplying the shoe and the available rocker outsole shapes. As a result the selection of the rocker shoe for the user is prone to errors. A shape of an individualized rocker outsole made by a craftsman may also not always be selected optimally.
The invention seeks to provide a computer implemented method of selecting an rocker outsole shape.
The invention provides a computer implemented method of selecting an individualized rocker outsole according to claim 1 .
The computer implemented method of claim 1 selects a rocker outsole shape for a user and outputs data representing this rocker outsole shape for manufacturing the rocker outsole by a rocker outsole manufacturing device. The computer implemented method is a repeatable method for selecting a rocker outsole without the need to provide a number of trial rocker outsoles for the user to try. The method further does not rely on craftsmanship or expertise of a professional in selecting the rocker outsole shape. An effect of a rocker shoe having a selected rocker outsole shape on the gait cycle of the user is predicted by the simulation of the gait cycle by the computer.
The shape of the rocker outsole is determined by a set of rocker outsole shape parameters which set of rocker outsole shape parameters comprises at least one of: o a rocker outsole thickness; o a rocker outsole stiffness, e.g. a longitudinal bending stiffness; o a front apex position; o a front apex angle; o a front rocker radius; o a back apex position; o a back apex angle; and o a back rocker radius. These shape parameters determine the thickness of the rocker outsole, the longitudinal bending stiffness of the rocker outsole, the front and back apex positions, the front and back apex angles, and the front and back rocker radius.
The rocker outsole thickness is related to the difference between the smallest part of the rocker outsole, e.g. near the toe, and the thickest part of the rocker outsole, e.g. near the middle of the outsole.
The rocker outsole stiffness, e.g. the longitudinal bending stiffness of the rocker outsole, is related to how bendable the rocker outsole is in the longitudinal direction at the location of the forefoot. For example a rocker outsole with a higher stiffness is more difficult to bend than a rocker outsole with a lower stiffness. The rocker outsole stiffness may depend on the location on the rocker outsole. For example the rocker outsole may be stiffer near the heel and toe and less stiff near the forefoot. This allows the rocker outsole to distribute pressure differently in different parts of the foot.
The apex position is the location on the outsole, e.g. a location along a longitudinal direction of the outsole, where the outsole starts to curve. The outsole may be substantially flat between the front and back apex positions. In front of the front apex position and behind the back apex positions the outsole is curved. For example, the front apex position gives the position near the front of the outsole where the outsole starts curving.
The front and back apex angles are related to the front and back apex positions. As seen from a cross-sectional view of the outsole, e.g. from a top side of the outsole, the outsole may start curving along a line tilted relative to the longitudinal of the outsole. This tilt is the apex angle. The front and back rocker radius are related to the curvature of the rocker outsole from the apex position. A greater rocker radius implies a smaller curvature of the rocker outsole.
The computer implemented method of the invention selects a shape of the rocker outsole by determining distinct sets of rocker outsole shape parameters which comprises at least one of the rocker sole shape parameters. In examples, it is possible that additional parameters are needed to fully determine the shape of the outsole, such as shoe size. In examples, another set of shape parameters may be used to determine the shape of the rocker outsole. The invention is not limited to the eight shape parameters shown in claim 1 . The invention also extends to other, possibly equivalent, sets of shape parameters used to determine a shape of the rocker outsole. Depending on the situation various biomechanical parameters may be measured, however at least a plantar pressure and/or kinetics and kinematics of the gait cycle of the user are measured according to the computer implemented method of the invention.
The method makes use of a computer comprising a processor and a database, wherein the processor is configured to run a gait cycle simulation model for simulating a gait cycle of the user based on biomechanical parameters of the user and rocker outsole shape parameters, wherein the processor is configured to access the database for retrieving data stored therein and wherein the processor is configured to access the database for storing data therein.
The method further makes use of one or more measuring devices for measuring the one or more biomechanical parameters. The measuring device may be a standardized measuring shoe. One of the measuring devices may further be a system for analyzing the gait of the user, e.g. based on a video input and/or based on markers placed on a foot and/or a leg of the user. Other measuring devices are also possible.
Examples of biomechanical parameters that may be measured include: a pressure on the foot during a gait cycle, static and dynamic balance, a center of pressure trajectory during a gait cycle of the user, an ankle angle of a user during a gait cycle, a foot-to-horizontal angle of a user during a gait cycle, a shank-to-vertical angle during the gait cycle of the user, a ground reaction force during a gait cycle of the user, an ankle moment during the gait cycle of the user, and an ankle moment arm during the gait cycle of the user. In embodiments of the invention some of these biomechanical parameters may be measured, while others may be inferred from the measured biomechanical parameters, e.g. by the gait cycle simulation model run on the computer.
The method comprises the following steps: measuring one or more biomechanical parameters of the user by using a measuring device, e.g. a standardized measuring shoe, wherein the measured biomechanical parameters comprise a plantar pressure of a foot of the user during a gait cycle of the user and/or kinetics and kinematics of the gait cycle of the user; inputting the measured biomechanical parameters into the computer, e.g. by the measuring device, and storing the measured biomechanical parameters in the database; determining critical values of one or more of the measured biomechanical parameters of the user and storing the critical values in the database; determining various distinct rocker outsole shapes by choosing distinct sets of rocker outsole shape parameters, wherein the rocker outsole shape parameters are chosen between shape parameter limit values and storing the distinct rocker outsole shapes in the database; simulating on the computer by the gait cycle simulation model, for each of the distinct rocker outsole shapes, a gait cycle of the user wearing a rocker shoe comprising a rocker outsole according to the corresponding distinct rocker outsole shape, wherein the gait cycle simulation model simulates the simulated gait cycle based on the distinct rocker outsole shapes and on the measured biomechanical parameters of the gait cycle of the user stored in the database; determining, for each of the simulated gait cycles, corresponding simulated biomechanical parameters of the user and corresponding simulated critical values based on the corresponding simulated gait cycle and storing the simulated biomechanical parameters and the simulated critical values in the database; selecting one of the distinct rocker outsole shapes by comparing the corresponding simulated critical values of the distinct rocker outsole shapes to the critical values, wherein at least one simulated critical value of the simulated biomechanical parameters is lower than the corresponding critical value of the measured biomechanical parameters; and outputting data representing the selected rocker outsole shape for manufacturing the individualized rocker outsole by the rocker outsole manufacturing device.
In embodiments the distinct rocker outsole shape may also be determined by comparing the corresponding simulated biomechanical parameters to the corresponding measured biomechanical parameters.
The biomechanical parameters are measured with a measuring device, e.g. a standardized measuring shoe, e.g. for measuring pressure. For example, the shoe may have an instrumented insole in the shoe which measures pressure during a gait cycle of the user. In this way pressure at multiple points, e.g. 99 points per foot, of the foot may be measured.
The kinematics of the user may be measured through motion capture and the kinetics of the gait may be measured by force plates or in shoe pressure, for example by a pressure measuring insole. Additional methods of measuring may be employed.
Thus, the plantar pressure on a foot of the user during a gait cycle may be a pressure at a single point or multiple pressures at multiple points of the foot. Other ways to measure the biomechanical parameters are also possible. For example, the foot and lower leg of the user may be provided with reflective markers. The user may then be filmed during a gait cycle, such that the markers show the location of e.g. joints during the gait cycle. This may provide information, e.g., on the shank-to-vertical angle during the gait cycle.
The measured biomechanical parameters are inputted into the computer. This may be done automatically by the measuring device, e.g. when the measuring device is connected to the database. The measured biomechanical parameters may also be inputted into the computer manually.
The critical values of the biomechanical parameters of the user may be measured. For example, dorsiflexion of the ankle may be measured by pivoting the angle until a maximal angle is achieved. Limitations of peak ankle dorsiflexion has influence on multiple biomechanical parameters, such as the center of pressure trajectory. The critical values may also be determined from examination of the user. The critical values are stored in the database for future reference.
The simulated critical values of the simulated biomechanical parameters of the user are determined based on the corresponding simulated gait cycle. For example, the simulated gait cycle may include ankle pivoting such that a simulated critical value related to dorsiflexion may be determined from the simulated maximal ankle angle.
Various distinct rocker outsole shapes are determined by choosing distinct sets of rocker outsole shape parameters, wherein the rocker outsole shape parameters are chosen between shape parameter limit values. For example, the front apex position may be chosen between 50% and 70% of the outsole length along a longitudinal axis of the outsole. The shape parameter limit values in this example are the 50% and 70% of the outsole length. These limit values may be determined based on the measured biomechanical parameters and/or the critical values. By setting limit values for one or more shape parameters and choosing values between these parameters several rocker outsole shapes are determined by the sets of rocker outsole shape parameters.
For example, an apex position and angle of the rocker outsole may be determined based on the pressure measurements.
In another example the front apex position of the rocker outsole may be inferred from an ankle dorsiflexion instant and a center of pressure trajectory. The ankle dorsiflexion instant is the point-in-time along the gait cycle of the user where the ankle has maximal dorsiflexion. In this example, by fixing one or more of the rocker outsole shape parameters and varying other ones of the rocker outsole shape parameters distinct rocker outsole shapes are determined. For example, when the pressure and center of pressure trajectory are known, an apex position may be determined. Afterwards a outsole thickness may be varied. For example, from 10 mm to 30 mm in thickness.
In another example, the longitudinal bending stiffness of the outsole may be known and apex angles may be changed, for example, from 80 degrees to 100 degrees. In another example, an apex position may be known and a apex angle, outsole thickness and outsole longitudinal bending stiffness may be varied (rigid vs. flexible).
These variations lead to distinct rocker outsole shapes each determined by the rocker outsole shape parameters.
For each of the determined distinct rocker outsole shapes, a gait cycle of the user wearing a rocker shoe comprising a rocker outsole according to the corresponding distinct rocker outsole shape is simulated. The simulation is performed by running the gait cycle simulation model on the computer. The gait cycle simulation model uses the distinct rocker outsole shapes and the biomechanical parameters that are stored in the database for simulating the gait cycle of the user. For example, the gait cycle simulation model may determine an effect of the rocker outsole shapes on the gait cycle of the user through measured biomechanical parameters. For example, the gait cycle simulation model may determine a simulated gait cycle by determining the effect of a distinct rocker outsole shape on the gait cycle of the user by comparing the distinct rocker outsole shape to a footwear, e.g. a standardized shoe, such as a standardized measuring shoe, that the user was wearing when measuring the biomechanical parameters and, e.g., determining the effect of this difference on the gait cycle. For example, the gait cycle simulation model may be configured to relate a change in outsole shape to a change in gait cycle. For example, the gait cycle simulation model may determine relate a measured biomechanical parameter to one or more shape parameters and determine an effect of, e.g. a change of, the shape parameters on the biomechanical parameter.
The method makes use of the gait cycle simulation model for simulating a gait cycle of the user based on biomechanical parameters of the user and rocker outsole shape parameters.
By simulation the gait cycle simulated biomechanical parameters and simulated corresponding critical values are determined. For example, a simulated biomechanical parameter may be the pressure on the foot of the user. In another example, ankle moment and ankle moment arm during a gait of the user are simulated for each of the distinct rocker outsole shapes.
One of the distinct rocker outsole shapes is selected by comparing the corresponding simulated biomechanical parameters of the distinct rocker outsole shapes to the critical values, wherein at least one simulated critical value of the simulated biomechanical parameters is lower than the corresponding critical value of the measured biomechanical parameters.
For example, the rocker outsole shape with the lowest peak pressure on the foot of the user is selected. The selection process may be based on a critical value related to the ankle moment or ankle moment arm.
For example, in case more than one distinct rocker outsole shape has a simulated critical value lower than the corresponding critical value, all rocker outsole shapes and corresponding biomechanical parameters and critical values may be presented to an operator for selecting one of the outsole shapes. Alternatively, one distinct rocker outsole shape is selected based on secondary requirements, e.g. multiple simulated critical value lower than corresponding critical value or a lowest simulated critical value.
Data representing the selected rocker outsole shape for manufacturing the individualized rocker outsole is outputted by the computer. This data may be used to manufacture a rocker outsole or a rocker shoe, e.g. by 3D printing.
A family of rocker outsole shapes is determined by the computer implemented method. This family of rocker outsole shapes is suitable for the user because they are based on the biomechanical parameters measured from the user. The method allows to select the appropriate rocker outsole shape for the user by comparing the simulated biomechanical parameter, e.g. a simulated corresponding critical value of the biomechanical parameter, with critical values stored in the database. This allows the shape of the rocker outsole to have a noticeable and desired effect on the gait cycle of the user without the user having to try a number of rocker shoes and without having to use expertise of a professional in selecting the shape.
Additionally, the method may use stored data in the database to select similar shapes for users with similar biomechanical parameters. The system may potentially use information from past measurements and related rocker outsole shapes to determine optimal rocker outsole shapes for new users. This may be based for example on machine learning principles. It also allows the system to potentially spot errors when a rocker outsole shape deviates from previously obtained rocker outsole shapes.
In an embodiment of the method, the gait cycle simulation model uses the determined critical values of the measured biomechanical parameters that are stored in the database when simulating, for each rocker outsole shape, the gait cycle of the user wearing the rocker shoe comprising a rocker outsole according to the corresponding rocker outsole shape. The gait cycle simulation model may use generic models to determine a gait cycle of the user. Advantageously, use is made of the measured biomechanical parameters. In a further embodiment the gait cycle simulation model may simulate the gait of the user based on, possible additionally, the critical values, the shape parameter limit values and/or manual input. This may allow the gait cycle simulation model to provide a more accurate simulation of the gait cycle of the user wearing a rocker shoe.
In an embodiment, the method further comprises: manufacturing the rocker outsole having the selected rocker outsole shape by the rocker outsole manufacturing device based on the outputted data.
In this embodiment the rocker outsole is manufactured. This may be done by the manufacturing device, e.g. a 3D printer, near where the biomechanical parameters were measured. The rocker outsole may also be manufactured in a central location away from the location of the measurements and shipped to the user. The rocker outsole manufacturing device may be a rocker shoe manufacturing device.
In an embodiment the distinct rocker outsole shapes are determined iteratively, e.g. wherein a next rocker outsole shape parameter set is chosen based on a previous rocker outsole shape parameter set, e.g. based on simulated biomechanical parameters corresponding to the previous rocker outsole shape parameter set. This may allow less simulation because an optimal shape of the outsole may be approximated in each iteration. This reduces computing time and increases efficiency.
In an embodiment wherein the rocker outsole shapes are determined iteratively, the next rocker outsole shape parameter set is determined after simulated biomechanical parameters of a previous rocker outsole shape parameter set are determined. This may allow the method to terminate before simulating biomechanical parameters for each distinct rocker outsole shape, e.g. when a rocker outsole shape is found which has a suitable shape. In an embodiment one of the critical values of the measured biomechanical parameters corresponds to the plantar pressure and wherein the simulated critical value of the plantar pressure of the selected rocker outsole shape is lower than the measured critical value of the plantar pressure.
In an additional embodiment the simulated critical value of the planter pressure of the selected rocker outsole shape is lower than 200kPa. It is found that this value is advantage for reducing load on the user and reducing wear of the outsole.
In an embodiment, preferably an embodiment wherein the plantar pressure is reduced compared to a measured value, the distinct rocker outsole shapes have a distinct rocker outsole stiffness. By varying the stiffness the pressure may be redistributed. The longitudinal bending stiffness may be more rigid or more flexible depending on the biomechanical parameters. This embodiment may be particularly advantageous for users with a higher pressure on the foot. By determining the longitudinal bending stiffness, peak pressure may be offloaded.
In an embodiment the computer is adapted to perform machine learning and wherein the computer implemented method makes use of machine learning to determine the shape of the individualized rocker outsole. E.g. by machine learning the simulation process may become more efficient as the gait cycle simulation model gains more experience in running the simulation, e.g. based on previous simulations of gait cycles.
In an embodiment the simulated biomechanical parameters comprise a center of pressure trajectory of the foot of the user. The center of pressure trajectory of the foot of the user during the gait cycle is the point under the foot as a function of normalized time where the center of pressure is located. The center of pressure trajectory may be used to simulate the foot-to- horizontal angle and the ankle moment arm for a rocker profile.
In a further embodiment the front apex position of the selected rocker outsole shape is selected based on the simulated center of pressure trajectory, e.g. by comparing the simulated center of pressure trajectory to a critical value based on a measured center of pressure trajectory. By selecting the front apex position based on the center of pressure trajectory, load on the user, e.g. on the ankle of the user, is reduced during the gait cycle. In an embodiment the measured biomechanical parameters and simulated biomechanical parameters further comprise a foot-to-horizontal angle during the gait cycle. It is possible that the foot-to-horizontal angle is determined in a way independent of the center of pressure trajectory, e.g. by foot markers. The foot-to-horizontal angle may be used to determine e.g. ankle moment arm and may help find values for the apex positions, apex angles and rocker outsole curvature.
In an embodiment the measured biomechanical parameters and simulated biomechanical parameters further comprise a shank-to-vertical angle during the gait cycle of the user. The shank-to-vertical angle may be used to determine an ankle angle, and may help find values for the apex positions and rocker radius.
An embodiment the measured biomechanical parameters and simulated biomechanical parameters further comprise a ground reaction force during a gait cycle of the user.
In an embodiment the simulated biomechanical parameters comprise an ankle moment during the gait of the user, e.g. based on the measured center of pressure trajectory, measured foot-to-horizontal angle, and measured ground reaction force, e.g. a magnitude and/or direction of the ground reaction force.
In an embodiment, the method further comprises:
- storing the measured biomechanical parameters, the simulated biomechanical parameters, the outputted data and/or the selected rocker outsole shape of a first user in the database, wherein the gait cycle simulation model may collect data of the first user from the database for selecting a shape of a rocker outsole of a second user. In an example wherein the first and second user are the same user, this allows the method to make use of data obtained during a previous application of the method for the user. For example, this allows the method to look at differences that have occurred over time. In examples wherein the first user and second user are different users, this embodiment allows to compare data obtained by the method between the different users.
The invention is further related to a rocker outsole having a rocker outsole shape determined by the method of the invention.
The invention is further related to a method for manufacturing the rocker outsole, wherein the rocker outsole shape is determined by the method of the invention. In an embodiment, the rocker outsole is manufactured using a 3D printer.
The invention is further related to a rocker shoe having a rocker outsole having a rocker outsole shape determined by the method according to the invention. The invention is further related to a computer for performing the computer implemented method according to the invention.
The invention was shown to work in a number of studies. In the first study, the effect of the use of an individualized rocker sole according to the invention was studied on 17 people with Achilles tendinopathy. The gait cycle of the 17 people was observed while walking on a standard shoe and on an individualized rocker shoe according to the invention by letting the people walk on a treadmill. There was a significant decrease in peak dorsiflexion (DF), peak plantar flexion moment (PFM) and peak ankle power generation when using the individualized rocker shoe compared to the standard shoe. A full gait analysis showed a significant decrease in DF and PFM during terminal stance and pre-swing. These results suggest that the method produces individual rocker profile shoes that reduce DF and PFM compared to standard shoes.
In a second study, the effect of the individualized rocker sole according to the invention was studied on 15 people with Plantar Fasciitis. The gait cycle of the 15 people was observed while walking on a standard shoe and on an individualized rocker shoe. Also in this study DF and PFM where significantly reduced while wearing the rocker shoes compared to the standard shoe. The average measured ICC between the measured PFM and the predicted PFM from the method of the invention was 0.862. These results suggest that the method produces individual rocker profile shoes that reduce DF and PFM compared to standard shoes also in this case.
A third ongoing study seems to suggest the effectiveness of rocker shoes based on the algorithm. Targeted offloading appears to bring pathological forefoot pressure in people with loss of protective sensation as a result of diabetes back under the safe threshold of 200kPa in the majority of cases.
The invention will now be described in a non-limiting way by reference to the accompanying drawings in which like parts are indicated by like reference symbols and in which: figure 1 depicts a top view of a rocker outsole; figure 2 depicts a side view of the rocker outsole of figure 1 ; figure 3 depicts a second side view of the rocker outsole of figure 1 ; figure 4 depicts a side view of several rocker outsoles with different front rocker radii; figure 5 depicts a schematic side view of two rocker outsoles with different apex positions; figure 6 depicts a graph of an ankle angle during a gait cycle of a user wearing a measuring shoe and of a simulated ankle angle during a gait cycle; figure 7 depicts a flow chart of the method steps of the computer implemented invention; and figure 8 depicts a schematic view of a computer for use in the computer implemented method.
Figure 1 depicts a top view of a rocker outsole 1 . The front apex position 4 is shown as a distance from the heel of the rocker outsole 1 . The front apex position 4 is determined in the figure by the point where the longitudinal axis 15 crosses the front rocker axis 11 . The front rocker axis 11 is the line along which the rocker outsole 1 curves away from the floor 14 when the rocker outsole 1 is placed on the floor 14 as can be seen in figure 2.
Figure 1 further shows the front apex angle 5 which is the angle the front rocker axis 11 makes with the longitudinal axis 15. The front apex angle 5 and the front apex position 4 determine the front rocker axis 11 , thus mathematically the front rocker axis 11 may be redundant when the front apex angle 5 and the front apex position 4 are known.
Figure 1 similarly shows the back apex position 7 as a distance from the heel of the rocker outsole 1 along the longitudinal axis 15. The back rocker axis 13 makes is angled with respect to the longitudinal axis 15 by the back apex angle 8.
Figure 2 depicts a side view of the rocker outsole 1 of figure 1 . The rocker outsole 1 is placed on the floor 14 such that the rocker outsole curves away from the floor along the front rocker axis 11 . The angle with which the rocker outsole 1 curves away from the floor 14 is given by the front rocker angle 12, which alternatively is given by the front rocker radius 6 as shown in figure 3.
Figure 2 further shows the rocker outsole thickness 2 and the back apex position 7.
Figure 3 shows a second side view of the rocker outsole 1 of figures 1 and 2. In figure 3 the front rocker radius 6 is shown. The rocker outsole 1 curves away from the floor 14 near the front side at least approximately along a circle. The radius of this circle is the front rocker radius 6. The front rocker radius may also determine the front rocker angle 12.
Similarly to the front rocker radius 6, the rocker outsole 1 also determines a back rocker radius 9 which is not explicitly shown in the figure. More in general, for the shape parameters associated with the front of the rocker outsole 1 , e.g. the front rocker radius 6, there exists a similar shape parameter associated with the back of the rocker outsole 1 , e.g. the back rocker radius 9. Figure 4 depicts a side view of several rocker outsoles 1 with different front rocker radii 6. In an example of the method of the invention the gait cycle of a user wearing these rocker outsoles 1 may be simulated by the gait cycle simulation model. Subsequently, for each of the rocker outsoles 1 , simulated biomechanical parameters of the user are determined.
Figure 5 depicts a schematic side view of two rocker outsoles 1 with different front apex positions 4. The gait cycle simulation model simulates the gait cycle of the user wearing the different rocker outsoles 1 depicted in figure 5 and consequently determine for each of the two rocker outsoles 1 simulated biomechanical parameters, in this case the internal moment arm 15 and the external moment arm 16.
By calculating the internal moment arm 15 and the external moment arm 16 during the gait of the user for each of the rocker outsoles 1 , the optimal of the two shapes is determined. By reducing the external moment arm 16 a load on the user may be reduced. Thus, in this example, the front apex position 4 determines the external moment arm 15 during the gait of the user, which in turn determines a load on the user. By finding an optimal front apex position 4 the load is reduced.
Figure 6 depicts a graph of an ankle angle 18 during a gait cycle of a user wearing a measuring shoe and of a simulated ankle angle 17 during a gait cycle as simulated by the gait cycle simulation model. As can be seen from the figure, the simulated ankle angle, which is the biomechanical parameter in this example, is lower throughout the gait cycle compared to the measured ankle angle.
In the gait cycle a critical value of the ankle angle is indicated by the dashed horizontal line, indicated by dorsiflexion boundary. As can be seen, the simulated angle never reaches this dashed line. Thus the simulated outsole shape may be selected based on this graph. Further, the position of the apex position for the rocker outsole shape used for simulating the gait cycle is indicated as a percentage of the gait cycle by the vertical line.
The gait cycle simulation model may be used to determine, based on the simulated gait cycle, several biomechanical parameters such as depicted here.
Figure 7 depicts a flow chart of the method steps of the computer implemented invention. One or more biomechanical parameters of the user are measured 101 using a measuring device 22, e.g. by using a standardized measuring shoe 10, wherein the measured biomechanical parameters comprise a plantar pressure of a foot of the user during a gait cycle 17 of the user and/or kinetics and kinematics of the gait cycle 17 of the user.
The measured biomechanical parameters are inputted 102 into the computer 19, e.g. by the measuring device 22, and the measured biomechanical parameters are stored in the database 21.
Critical values of one or more of the measured biomechanical parameters of the user are determined 103 and the critical values are stored in the database. In embodiments the critical values are determined after measuring the biomechanical parameters. However it is also possible that the critical values are determined beforehand or independent of the measurement 101 . This may for example be the case when a rocker outsole shape is desired that has a maximal plantar pressure lower than 200kPA.
Various distinct rocker outsole shapes are determined 104 by choosing distinct sets of rocker outsole shape parameters 4, 5, 6, 7, 8, wherein the rocker outsole shape parameters 4, 5, 6, 7, 8 are chosen between shape parameter limit values. The distinct rocker outsole shapes are stored in the database 21 . The shape parameter limit values may be chosen based on previous experience or based on the measurements of the biomechanical parameters.
When the various distinct rocker outsole shapes are determined 104, the gait cycle simulation model is used to simulate 105, for each of the distinct rocker outsole shapes, a gait cycle 18 of the user wearing a rocker shoe 1 comprising a rocker outsole according to the corresponding shape. The gait cycle simulation model uses the distinct rocker outsole shapes stored in the database 21 .
For each of the simulated gait cycles, corresponding simulated biomechanical parameters of the user are determined 106. These simulated biomechanical parameters are determined based on the simulated gait cycle 18. The simulated biomechanical parameters are stored in the database.
One of the distinct rocker outsole shapes is selected 107 by comparing the corresponding simulated biomechanical parameters of the distinct rocker outsole shapes to the critical values, wherein at least one simulated critical value of the simulated biomechanical parameters is lower than the corresponding critical value of the measured biomechanical parameters. Finally, data representing the selected rocker outsole shape is outputted 108 by the computer 19 for manufacturing the individualized rocker outsole by the rocker outsole manufacturing device. The data may be used to manufacture, e.g. 3D print the rocker outsole 1 . In embodiments the method further comprises the step of manufacturing 109 the rocker outsole having the selected rocker outsole shape by the rocker outsole manufacturing device based on the outputted data.
Figure 8 depicts a schematic view of a computer 19 for use in the computer implemented method. The computer 19 comprises a processor 20 and a database 21 , wherein the processor 20 is configured to run the gait cycle simulation model for simulating the gait cycle of the user. The processor 20 is further configured to access the database 21 for retrieving data stored therein and for storing data in the database 21 . Figure 8 further depicts a measuring device 22 connected to the computer 19.

Claims

1 . A computer implemented method of selecting an individualized rocker outsole (1) for manufacturing the rocker outsole (1 ) by a rocker outsole manufacturing device, wherein the shape of the rocker outsole (1) is determined by a set of rocker outsole shape parameters, which set of rocker outsole shape parameters comprises at least one of: o a rocker outsole thickness (2); o a rocker outsole stiffness (3), e.g. a longitudinal bending stiffness; o a front apex position (4); o a front apex angle (5); o a front rocker radius (6); o a back apex position (7); o a back apex angle (8); and o a back rocker radius (9), wherein the method makes use of a computer (19) comprising a processor (21) and a database (20), wherein the processor (21) is configured to run a gait cycle simulation model for simulating a gait cycle (17, 18) of the user based on biomechanical parameters of the user and rocker outsole shape parameters, wherein the processor (21) is configured to access the database (20) for retrieving data stored therein and wherein the processor (21 ) is configured to access the database (20) for storing data therein, wherein the method comprises: measuring (101 ) one or more biomechanical parameters of the user by using a measuring device (22), e.g. a standardized measuring shoe (10), wherein the measured biomechanical parameters comprise a plantar pressure of a foot of the user during a gait cycle (17, 18) of the user and/or kinetics and kinematics of the gait cycle of the user; inputting (102) the measured biomechanical parameters into the computer (19), e.g. by the measuring device (22), and storing the measured biomechanical parameters in the database (20); determining (103) critical values of one or more of the measured biomechanical parameters of the user and storing the critical values in the database (20); determining (104) various distinct rocker outsole shapes by choosing distinct sets of rocker outsole shape parameters, wherein the rocker outsole shape parameters are chosen between shape parameter limit values based on the measured biomechanical parameters and/or the critical values and storing the distinct rocker outsole shapes in the database (20); simulating (105) on the computer (19) by the gait cycle simulation model, for each of the distinct rocker outsole shapes, a simulated gait cycle (18) of the user wearing a rocker shoe comprising a rocker outsole (1) according to the corresponding distinct rocker outsole shape, wherein the gait cycle simulation model simulates the simulated gait cycle based on the distinct rocker outsole shapes and on the measured biomechanical parameters of the gait cycle of the user stored in the database (20); determining (106), for each of the simulated gait cycles (19), corresponding simulated biomechanical parameters of the user and corresponding simulated critical values based on the corresponding simulated gait cycle (19) and storing the simulated biomechanical parameters and the simulated critical values in the database (20); selecting (107) one of the distinct rocker outsole shapes by comparing the corresponding simulated critical values of the distinct rocker outsole shapes to the determined critical values, wherein at least one simulated critical value of the simulated biomechanical parameters is lower than the corresponding determined critical value of the measured biomechanical parameters; and outputting (108) data by the computer (19) representing the selected rocker outsole shape for manufacturing the individualized rocker outsole (1) by the rocker outsole manufacturing device.
2. A computer implemented method according to claim 1 , wherein the gait cycle simulation model uses the determined critical values of the measured biomechanical parameters that are stored in the database (20) when simulating, for each rocker outsole shape, the gait cycle (19) of the user wearing the rocker shoe comprising a rocker outsole (1) according to the corresponding rocker outsole shape.
3. A computer implemented method according to one or more of the preceding claims, wherein the method further comprises: manufacturing (109) the rocker outsole (1) having the selected rocker outsole shape by the rocker outsole manufacturing device based on the outputted data.
4. A computer implemented method according to one or more of the preceding claims, wherein the distinct rocker outsole shapes are determined iteratively wherein a next rocker outsole shape parameter set is chosen based on a previous rocker outsole shape parameter set, e.g. based on simulated biomechanical parameters corresponding to the previous rocker outsole shape parameter set.
5. A computer implemented method according to claim 4, wherein the next rocker outsole shape parameter set is determined after simulated biomechanical parameters of a previous rocker outsole shape parameter set are determined.
6. A computer implemented method according to one or more of the preceding claims, wherein one of the critical values of the measured biomechanical parameters corresponds to the plantar pressure and wherein the simulated critical value of the plantar pressure of the selected rocker outsole shape is lower than the measured critical value of the plantar pressure.
7. A computer implemented method according to claim 5, wherein the simulated critical value of the planter pressure of the selected rocker outsole shape is lower than 200kPa.
8. A computer implemented method according to one or more of the claims 6-7, wherein the distinct rocker outsole shapes have a distinct rocker outsole stiffness (3).
9. A computer implemented method according to one or more of the preceding claims, wherein the computer (19) is adapted to perform machine learning and wherein the computer implemented method makes use of machine learning to determine the shape of the individualized rocker outsole (1 ).
10. A computer implemented method according to one or more of the previous claims, wherein the simulated biomechanical parameters comprise a center of pressure trajectory of the foot of the user.
11 . A computer implemented method according to claims 10, wherein the front apex position (4) of the selected rocker outsole shape is selected based on the simulated center of pressure trajectory, e.g. by comparing the simulated center of pressure trajectory to a critical value based on a measured center of pressure trajectory.
12. A computer implemented method according to one or more of the preceding claims, wherein the measured biomechanical parameters and simulated biomechanical parameters further comprise a foot-to-horizontal angle during the gait cycle (17, 18).
13. A computer implemented method according to one or more of the preceding claims, wherein the measured biomechanical parameters and simulated biomechanical parameters further comprise a shank-to-vertical angle during the gait cycle of the user (17, 18).
14. A computer implemented method according to one or more of the preceding claims, wherein the measured biomechanical parameters and simulated biomechanical parameters further comprise a ground reaction force during the gait cycle (17, 18) of the user.
15. A computer implemented method according to one or more of the preceding claims, wherein the simulated biomechanical parameters comprise an ankle moment during the gait cycle (17, 18) of the user, e.g. based on the measured center of pressure trajectory, measured foot-to-horizontal angle, and measured ground reaction force, e.g. a magnitude and/or direction of the ground reaction force.
16. A computer implemented method according to one or more of the preceding claims, wherein the method further comprises:
- storing the measured biomechanical parameters, the simulated biomechanical parameters, the outputted data and/or the selected rocker outsole shape of a first user in the database (20), wherein the gait cycle simulation model may collect data of the first user from the database
(20) for selecting a shape of a rocker outsole (1) of a second user.
17. Method for manufacturing a rocker outsole (1), wherein the rocker outsole shape is determined by the computer implemented method according to one or more of the claims 1 - 16.
18. Method according to claim 17, wherein the rocker outsole (1 ) is manufactured using a 3D printer.
19. Computer (19) comprising a processor (21) and a database (20), wherein the processor
(21 ) is configured to run the gait cycle simulation model for simulating a gait cycle (17, 18) of the computer implemented method according to one or more of the claims 1 -16.
EP21836377.8A 2020-12-08 2021-12-07 A computer implemented method for selecting a shape of a rocker outsole Withdrawn EP4258927A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
NL2027067A NL2027067B1 (en) 2020-12-08 2020-12-08 A computer implemented method for selecting a shape of a rocker outsole
PCT/EP2021/084574 WO2022122724A1 (en) 2020-12-08 2021-12-07 A computer implemented method for selecting a shape of a rocker outsole

Publications (1)

Publication Number Publication Date
EP4258927A1 true EP4258927A1 (en) 2023-10-18

Family

ID=74183492

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21836377.8A Withdrawn EP4258927A1 (en) 2020-12-08 2021-12-07 A computer implemented method for selecting a shape of a rocker outsole

Country Status (3)

Country Link
EP (1) EP4258927A1 (en)
NL (1) NL2027067B1 (en)
WO (1) WO2022122724A1 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100263233A1 (en) * 2009-04-06 2010-10-21 Northwestern University Rocker shoes for prescribed ankle motion
US20150351493A1 (en) * 2012-12-19 2015-12-10 New Balance Athletic Shoe, Inc. Footwear with traction elements
WO2016176351A1 (en) * 2015-04-27 2016-11-03 United States Government As Represented By The Department Of Veterans Affairs Rocker shoes, rocker shoe development kit and method
US20190261735A1 (en) * 2012-12-19 2019-08-29 New Balance Athletics, Inc. Customized footwear, and systems and methods for designing and manufacturing same
US20200146397A1 (en) * 2018-11-09 2020-05-14 Adidas Ag Individual traction profiles for footwear

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10575596B2 (en) * 2013-03-14 2020-03-03 Modern Protective Footwear, Llc Protective patient footwear system and methods
US10482214B2 (en) * 2014-05-09 2019-11-19 Rsprint Nv Methods and apparatuses for designing footwear
DE102016201151B4 (en) * 2016-01-27 2020-11-19 Adidas Ag Production of an individually adapted piece of sportswear based on sensor data
US10299722B1 (en) * 2016-02-03 2019-05-28 Bao Tran Systems and methods for mass customization

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100263233A1 (en) * 2009-04-06 2010-10-21 Northwestern University Rocker shoes for prescribed ankle motion
US20150351493A1 (en) * 2012-12-19 2015-12-10 New Balance Athletic Shoe, Inc. Footwear with traction elements
US20190261735A1 (en) * 2012-12-19 2019-08-29 New Balance Athletics, Inc. Customized footwear, and systems and methods for designing and manufacturing same
WO2016176351A1 (en) * 2015-04-27 2016-11-03 United States Government As Represented By The Department Of Veterans Affairs Rocker shoes, rocker shoe development kit and method
US20200146397A1 (en) * 2018-11-09 2020-05-14 Adidas Ag Individual traction profiles for footwear

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of WO2022122724A1 *

Also Published As

Publication number Publication date
NL2027067B1 (en) 2022-07-07
WO2022122724A1 (en) 2022-06-16

Similar Documents

Publication Publication Date Title
CN109068796B (en) Footwear with tapered heel, support plate and method of measuring impact point
CN109820281B (en) Personalized insole optimization design method based on mechanical characteristics of foot tissue level of diabetic patient
US10306948B2 (en) Footwear with tapered heel and methods of manufacture and measurement
US7581454B2 (en) Method of measuring the performance of a prosthetic foot
DK2723280T3 (en) FODORTOPEDIC DESIGN SYSTEM
KR102072718B1 (en) System and method for providing customized lasts
JP2003526435A (en) Method of producing an insert for interpolation by computer
US8192375B2 (en) Apparatus and method for dynamically fitting insoles to a patient
JP2007526028A (en) System and method for making orthotics
KR102755255B1 (en) Apparatus and method for making user customized insole
Mey et al. How foot morphology changes influence shoe comfort and plantar pressure before and after long distance running?
KR102309534B1 (en) 3d insole modeling method and server for foot-fit
AU2008285126A1 (en) A system and a method for selecting a type of a curve sole out of a limited group of types of curved sole, to match a person
EP4258927A1 (en) A computer implemented method for selecting a shape of a rocker outsole
US20250064169A1 (en) Methods and apparatuses for designing footwear
EP2501251B1 (en) Functional insole
GB2370487A (en) Method of selecting orthotics elements to correct pathological foot movements
KR20160132367A (en) Proper posture high-heeled shoes
CN106455746B (en) High-heeled shoes with correct posture
CN115444649A (en) Method for producing a foot orthotic and foot orthotic
JP7306592B2 (en) DATA PROVISION DEVICE, FOOT CARE PRODUCT PROVISION METHOD AND FOOT CARE PRODUCT
De Melo Lopes Martinho Ma et al. A Combined Multibody and Plantar Pressure Approach to Estimate and Predict Foot Kinematics Applied to 3D-printed Insoles
KR101150053B1 (en) Shoes with stimulating sole proprioceptor
CN120162992A (en) Personalized orthopedic insole manufacturing method, device, equipment and storage medium
CN117122306A (en) Calculation method for calculating correction area and strength of lower limb abnormal force line

Legal Events

Date Code Title Description
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: UNKNOWN

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE

PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE

17P Request for examination filed

Effective date: 20230706

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

DAV Request for validation of the european patent (deleted)
DAX Request for extension of the european patent (deleted)
GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: GRANT OF PATENT IS INTENDED

RIC1 Information provided on ipc code assigned before grant

Ipc: G06F 119/18 20200101ALI20240617BHEP

Ipc: G06F 30/27 20200101ALI20240617BHEP

Ipc: B33Y 80/00 20150101ALI20240617BHEP

Ipc: B33Y 50/00 20150101ALI20240617BHEP

Ipc: B29C 64/00 20170101ALI20240617BHEP

Ipc: A61B 5/103 20060101ALI20240617BHEP

Ipc: A61B 5/11 20060101ALI20240617BHEP

Ipc: A43D 1/02 20060101ALI20240617BHEP

Ipc: A43B 13/14 20060101AFI20240617BHEP

INTG Intention to grant announced

Effective date: 20240716

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20241119