A human gait replication apparatus can include a scalable mechanical mechanism configured to replicate different gaits. The scalable mechanical mechanism can include, for example, a four-bar linkage (e.g., with adjustable link lengths), a pantograph 100 (e.g., coupled with a Cardan gear), a cam/Scotch-yoke mechanism (e.g., with a beam oscillated by a cam), and so forth. In some embodiments, the mechanical mechanism includes a beam rotating about an axis passing proximate to its center, with a foot pedal slidably coupled with the beam, and a timing chain/belt or cable-pulley pair coupled with the foot pedal and looped about the beam (e.g., where the timing chain/belt or cable-pulley pair is coupled with a rocker arm of a four-bar linkage).
A method can include decomposing a foot path defined by Cartesian coordinates into polar coordinates, and providing a mechanical support for a foot, where a first mechanism controls an angular position of the mechanical support with respect to a reference frame, and a second mechanism controls a radial distance of the mechanical support from the reference frame (e.g., where the second mechanism can be adjusted independently of the first mechanism to scale the gait).
This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
The Detailed Description is described with reference to the accompanying figures. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
Referring generally to
As described herein, a foot guidance linkage device can replicate biomechanically correct walking. The device can be used for gait rehabilitation, exercise, and/or cardiovascular fitness. The device can also scale motion for use by children and adults with varying step length. The device may use a decomposition of a foot path into polar coordinates (e.g., as opposed to Cartesian coordinates) so that scaling can be accomplished by controlling a single degree of freedom. Further, in some embodiments, the device can be bilaterally adjustable, facilitating independent step size/length adjustment for a foot on either side (right or left) of a user. In other embodiments, step size/length adjustment can be coupled together on both sides (right and left).
Gait (walking) impairments can be detrimental to health and mobility as they may contribute to trips and falls and limit access to community and social activities. In 2013, approximately 20.6 million Americans (7.1% of the population) had an ambulatory disability, of whom approximately 330,000 (1.6%) were children. To improve or sustain walking capacity, many individuals partake in physical rehabilitation programs that include intensive practice of gait-like activities. Clinicians and/or technology help guide the patient through repetitive gait cycles to strengthen not only the muscles important for walking, but also the neural connections that help control gait. One challenge is that sophisticated technology that has been developed for adults does not always scale well to meet the needs of those with smaller bodies (e.g., young, pre-pubescent children). As a result, clinics and school settings providing rehabilitation services for children may need to purchase separate equipment to address the needs of smaller versus larger stature children. This need for additional equipment can be difficult, particularly in light of budget and space constraints faced by many institutions. An affordable and scalable gait guidance system is described that can be used to address the walking needs of adults and children.
Children as young as two (2) years old demonstrate a kinematic gait profile that is very similar to that of adults. In some embodiments, normalization methods are used to compare pediatric data to standard adult gait. For example, children's gait data between ages five (5) and twelve (12) may be very consistent following normalization. Regardless of the velocity at which a child is travelling, there may be only minor differences in step length, cadence, and other factors. In some embodiments, normalized parameters may show no correlation between age and gait parameters after the age of about seven (7). Apparatus 122 and techniques described herein may be used with individuals ranging in age from about two (2) to about twelve (12) and upwards (e.g., depending, in some instances, upon the cognitive abilities of a particular child). For example, in some embodiments, gait-replication is provided for adults and children (e.g., where the children range in age from about four (4) years old to about twelve (12) years old, adults over sixty five (65) years old, etc.).
The foot is composed of a complex set of articulations across twenty-six (26) bones that are controlled by a myriad of muscles often spanning multiple joints. Due to the similarity of normalized paths, a single foot trajectory can be chosen and scaled to match the gait path of various leg lengths. However, unique points on the foot traverse different trajectories during gait. To simplify observational and biomechanical analysis of gait, the foot's trajectory can be simplified to include an analysis of the forefoot and rearfoot. Using this approach, the foot can be modeled as two hinged, rigid bodies. With the toes affixed to a solid surface, the metatarsal heads serve as the juncture between the two rigid bodies. A heel marker can provide a biomechanical reference for the proximal aspect of the rearfoot.
A normalized sample path of a child's third metatarsal and heel trajectory are shown in
Currently, gait training methods may be expensive and/or labor-intensive, placing notable demands on the clinician's body to deliver the intervention. Treadmill and elliptical training are less expensive, but often require significant effort from a therapist and may require that the patient have significant strength to support themselves. To address this problem, gait rehabilitation techniques have been developed by researchers using treadmills with body weight support and robotic-assisted driven-gait orthoses. Gait training methods are usually specialized for different body sizes, meaning that different gait training devices are required for pediatric and adult gait therapy. Robotic gait-training devices can be extremely expensive, and readjusting link lengths to match leg parameters may be cumbersome. In addition, some potential gait training equipment options do not propel the foot through a gait-like trajectory, thus reducing task-specific training thought to be beneficial for strengthening not only the muscles, but also the neural pathways responsible for controlling movements.
Gait replication apparatus 122 are described herein that can be used by adults and children alike, accommodating a broad range of step lengths. Further, the apparatus 122 can be used in rehabilitation clinics, for in-home therapy, in hospitals, in schools and community centers, and so on. In some embodiments, the apparatus 122 can provide gait-like trajectory, where the mechanism constrains the feet to a trajectory similar to normal gait motion. Further, the apparatus 122 can be scalable to accommodate individuals with a step length between at least approximately twenty centimeters (20 cm) and at least approximately one hundred and two centimeters (102 cm) while producing a linearly-scaled gait trajectory, such that the size of the foot path is variable, but not its shape. Also, the entire scaling process may be performed by one actuator, eliminating the possibility of accidental misalignment or inaccurate mechanism trajectory.
In some embodiments, the apparatus 122 can be adjustable to accommodate specific impairments, such as different step lengths for each foot and/or reduced step heights. In some embodiments, the apparatus 122 can be cost-effective so that smaller rehabilitation centers and in-home users can afford to purchase the device. The apparatus 122 may also have a small footprint (e.g., not requiring excessive space to store or operate). In some embodiments, the apparatus 122 can be motorized. For example, a motor and/or other actuator can be used to propel a patient's foot through a gait-like trajectory. The motor component can be used to assist patients with low muscular strength. In some embodiments, the apparatus 122 can be back-drivable. For instance, a gait replication apparatus 122 can be manually driven without requiring significant effort, which can make it usable as an exercise device. In some embodiments, the apparatus 122 can also be ergonomic (e.g., not impairing the normal gait motion of the user, and avoiding uncomfortable interferences that may prevent effective rehabilitation). For example, the mechanism can mimic the trajectory of the foot during normal gait and create a comfortable, enjoyable exercise/rehabilitation experience.
A gait-like trajectory may be difficult to replicate mechanically. Without the use of multiple motors, a mechanical device that traces a highly nonlinear path may prove difficult to synthesize. Scaling and back-drivability may further complicate the mechanism. Example approaches for addressing these difficulties include replicating the path using a single, scalable, path-generating mechanism, and parametrizing the path and using multiple systems in tandem to produce the desired output. When using path-tracing mechanisms, one mechanism to drive the motion of the foot can make it far easier to provide back-drivability. Also, the simplicity of such mechanisms can make them more affordable and easier to construct.
In some embodiments, a four-bar (4-bar) linkage 144 can be used to produce a variety of paths. Several methods can be employed to fit the trajectory to a four-bar linkage 144, including nonlinear optimization, consulting a four-bar linkage coupler curve atlas, classical linkage synthesis for rigid-body guidance, and experimenting in simulation software. In some embodiments, best-fit methods for the long, flat shape of the metatarsal trajectory may result in an elliptical shape without a desired flatness. Thus, in order to scale the four-bar linkage 144 according to design requirements, each individual link may be scaled proportionately. For example, links with changing lengths can be provided using multiple motors. Other closed-loop mechanisms, such as six-bar (6-bar) and/or eight-bar (8-bar) linkages may also be used, allowing higher-order paths closer to a natural gait.
Pantograph 100s rely on geometrical constraints of similar triangles or parallelograms to produce similar motions at different points on a linkage. A pantograph 100 design can be generated by tracing the trajectory of the foot (e.g., from a template) and then mapping out an identical (or substantially identical), scaled path for the foot. In one design, two long beams 102 connect with two shorter beams 104 to create a scaling mechanism, as shown in
However, this pantograph 100 design is provided by way of example and is not meant to limit the present disclosure. In other embodiments, different pantograph 100 implementations can be used to generate a gait path. In this manner, accurate gait trajectory tracing can be provided. To obtain scaling, a motor can be used to change link lengths so that the geometric similarities of the triangles can be preserved. In some embodiments, a telescoping pantograph 108 extends outward, as shown in
In some embodiments, gait path can be separated into Cartesian coordinates, where each coordinate is a function of time. For example, the X-position and Y-position coordinates of the metatarsal trajectory are separated, and the graphs of these variables are shown in
In some embodiments, a definition in terms of radial and angular coordinates allows for a parametrically defined, scalable mechanism. As shown in
The strengths of the cam/Scotch-yoke mechanism are also used in the implementation described next. In the previous cam/Scotch-yoke mechanism, the offset included in link C was used because the origin of the polar coordinate system defining the angular and radial positions was set on the ground away from the trajectory. If the polar coordinate origin is placed on the trajectory, then no offset is necessarily used. However, if the origin is placed anywhere on the system, it may encounter angles exceeding 90 degrees (90°), where the mechanism would flip orientations. It is possible to place the polar coordinate origin on the gait path if the gait path intersects the origin. In the previous mechanisms described, the gait path is assumed to be the metatarsal trajectory. Both the metatarsal trajectory and the heel trajectory shown in
{circumflex over (X)}O=(1−p){circumflex over (X)}metatarsal+p{circumflex over (X)}heel
where X is the vector defining the horizontal and vertical position of the trajectory at any time and p is the percent distance from the metatarsal to the heel where the desired point is located on the foot.
Using the above equation, it is apparent that when p=−0.25, the path is tangent to itself at the origin, as shown in
In some embodiments, a gait replication apparatus 122 includes a beam 112 rotating about an axis passing proximate to (e.g., through or near) its center 128 (e.g., Point A), as shown in
To scale the radial distance that the foot pedal 118 travels, the vertical position of the rack 146 and pinion 148 can be shifted. Moving the rack 146 along the rocker bar means that angular rotations of the rocker may result in larger or smaller horizontal displacement of the rack. Because the arc distance and radial distance are correlated, changing the position of the rack's connection to the rocker arm 142 can linearly scale the motion. The crank 150 of the four-bar linkage 144 can be connected through gearing to a cam 114 that defines the beam's 112 angular position. The angular position of the beam 112 (e.g., a first beam), combined with the radial position defined by the chain movement, can create the trajectory seen in
Additionally, different embodiments of a foot pedal 118 are illustrated in
In the embodiment illustrated in
In the embodiment illustrated in
The four-bar linkage 144 may be designed to replicate the radial position with respect to time, mimicking normal gait. The radial trajectory of a foot pedal 118 is shown in
x=r*sin(θ)
y=r*cos(θ)=constant
where x is the radial distance of the rack, y is the vertical position of the rack, r is the distance from the rotation point of the rocker arm 142 to the connection point to the rack, and θ is the angular displacement of the rocker arm 142 from the neutral position. The y-position is constant here during operation of the machine. Vertical motion of the rack 146 causes the rack trajectory to scale. Thus, the rack 146 can be held at a constant height, and the distance r can be variable, dependent on θ. Rearrangement and combination of the equations solves for θ in terms of x and y:
In some embodiments, to limit size while increasing power transmission, the maximum range of x can be chosen to be at least approximately [−25 cm, 25 cm], which may occur at a length of at least approximately fifty-one centimeters (51 cm) from the rocker arm 142 pivot point. This can be the position of the system when outputting the step length of at least approximately one hundred and two centimeters (102 cm). To synthesize a four-bar (4-bar) linkage 144 to produce the above output curve, Freudenstein's equation can be used as follows:
R1 cos(θ)−R2 cos(φ)+R3=cos(θ−φ)
where
and where a is the length of the crank 150; b is the length of the coupler; c is the length of the rocker arm 142; d is the length of the ground link, which is the distance between the fixed pivot on the crank 150 and the fixed pivot on the rocker; θ is the angle between the crank 150 and the ground link; and φ is the angle between the rocker arm 142 and the ground link. Using the trigonometric difference identities, Freudenstein's equation can be rewritten as follows:
Assuming θ to be constant, the φ term can be isolated by combining the sine and cosine terms using linear summation:
R1 cos(θ)+R3=A cos(θ−α)
where
A=√{square root over ([cos(θ)+R2]2+sin2(θ))}
α=a tan [(cos(θ)+R2)/sin(θ)]
Thus, the equation for the rocker arm angle in terms of the crank angle is given as follows:
This equation can be least-squares curve fit to the phi angle calculated from the observed radial displacement of the foot. Constraints can be applied to meet the Grashof conditions for a crank-rocker. Also, to maximize backdrivability and power transmission, the crank 150 may not be less than at least approximately fifteen centimeters (15 cm) long in some embodiments. As a result, the crank length may be at least approximately fifteen and two-tenths centimeters (15.2 cm), the coupler may be at least approximately thirty-six and five-tenths centimeters (36.5 cm), the rocker arm may be at least approximately twenty-three and two-tenths centimeters (23.2 cm), and the ground link may be at least approximately forty-three and four-tenths centimeters (43.4 cm). The ground link can make at least approximately a minus forty-seven and eight-tenths degrees (−47.8°) angle with the horizontal. Example rocker angles are shown in
The timing for the four-bar linkage rocker angle can be similar to the desired timing of the radial motion of the foot pedal 118. In this manner, the crank rotation speed may be changed without use of a controller, and the crank 150 can rotate at a uniform angular velocity. Further, cams defining the angular position of the beam 112 and the vertical position of a secondary beam can be configured directly from displacement requirements (e.g., without consideration for cam rotation speed changes). In some embodiments, to use a roller follower with a cam, no point on the cam pitch curve may have a curvature smaller than the follower radius. With the cams 114 located halfway between the pivot point of the beam 112 and the end of the beam 112 (e.g., at least approximately twenty-five centimeters (25 cm) away), the cams may provide a maximum vertical movement of at least approximately four and four-tenths centimeters (4.4 cm). Example beam angle and cam profiles are shown in
In some embodiments, a foot orientation rail can be used to define the angle of the foot by rotating the foot pedal 118 relative to the foot position beam. Foot orientation angle is shown in
As described herein, apparatus 122 that mimic the foot trajectory of normal gait are described. In some embodiments, the apparatus 122 provides back-drivability, can be powered by a single motor (reducing weight and size), has linear scaling that is easy to adjust, and does not hinder children in a gait training scenario. In some embodiments, the chains 136 and/or cams can be enclosed (e.g., in a housing) to prevent or minimize contact with patients. In some embodiments, a gait replication apparatus 122 provides a gait-like trajectory that is adjustable for pediatric or adult users and adjustable for users with different gait lengths for each foot or increased/reduced step height. The apparatus 122 can be motorized and back drivable so users with poor muscle tone can benefit from the therapy and those with good muscle tone can use it as an exercise or therapy device.
As described herein, a four-bar linkage 144 can be attached to a rack 146 and pinion 148. Changing the location of the rack 146 and rocker bar connection effectively changes the gait length of the system. The rack 146 and pinion 148 is then attached via a chain 136 to the foot pedal 118, which travels along a beam 112, to advance the foot. Cams can be attached to the beam 112 to add vertical motion in the stride to accurately mimic a gait pattern. A motor can be used to move the foot pedals 118 by moving the crank arm (e.g., crank 150) of the four bar linkage, or the machine can be back driven if the motor is off. In the latter case, the motion of the foot pedal 118 drives the chain 136 attached to the rack 146 and pinion 148 to move the four bar linkage.
The gait replication apparatus 122 can be scalable to accommodate individuals with a wide range of step lengths, pediatric to adult. The gait replication apparatus 122 can be adjustable, with custom adjustment for those with uneven or unusual gait, different lengths for each foot, increased and/or reduced step heights, and so forth. Further, anatomically correct motion that accurately mimics natural gait motion can be provided. The gait replication apparatus 122 can also be used for assistive/resistive applications, where the equipment can be powered by a motor to varying degrees to fully or partially assist patients and/or can be powered by the user directly.
In some embodiments, gait replication apparatus 122 can be used for physical therapy and rehabilitation applications, where gait therapy is provided for victims of stroke, nervous system damage, Parkinson's disease, the elderly, or users with generally poor muscle tone, in settings including, but not necessarily limited to: rehabilitation hospitals (e.g., those serving pediatric and adult patients), nursing homes, and so on. Further, the gait replication apparatus 122 can be used in cardiovascular and exercise equipment applications, e.g., as a general physical fitness and/or cardiovascular exercise device. Similar applications can include elliptical exercise machines, treadmills, and so forth. Further, such apparatus 122 can be adjustable for use by an entire family.
Although the subject matter has been described in language specific to structural features and/or process operations, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
The present application claims the benefit under 35 U.S.C. § 119(e) of U.S. Provisional Patent Application No. 62/243,995, filed Oct. 20, 2015, and titled “BIOMECHANICAL FOOT GUIDANCE LINKAGE.” U.S. Provisional Patent Application No. 62/243,995 is incorporated herein by reference in its entirety.
This invention was made with government support under Grant Number HD074820 awarded by the National Institutes of Health (NIH). The government has certain rights in the invention.
Number | Name | Date | Kind |
---|---|---|---|
5195935 | Fencel | Mar 1993 | A |
5279529 | Eschenbach | Jan 1994 | A |
5899833 | Ryan | May 1999 | A |
5947872 | Ryan | Sep 1999 | A |
5989163 | Rodgers, Jr. | Nov 1999 | A |
6099439 | Ryan | Aug 2000 | A |
6176814 | Ryan | Jan 2001 | B1 |
6302830 | Stearns | Oct 2001 | B1 |
6923745 | Stearns | Aug 2005 | B2 |
7022049 | Ryan | Apr 2006 | B2 |
7104929 | Eschenbach | Sep 2006 | B1 |
7887465 | Ufelman | Feb 2011 | B2 |
8608675 | Cardile | Dec 2013 | B2 |
20030022763 | Ryan | Jan 2003 | A1 |
Number | Date | Country |
---|---|---|
WO 2008114291 | Sep 2008 | WO |
Entry |
---|
http://www.disneyresearch.com/project/mechanical-characters/, Jul. 22, 2013. |
Schmidt, Henning; Werner, Cordula; Berhnardt, Rolf; Hesse, Stefan; Kruger, Jorg: “Gait Rehabilitation Machines Based on Programmable Footplates”, Journal of NeuroEngineering and Rehabilitation, Feb. 9, 2007. |
Hesse, Stefan; Uhlenbrock, Dietmar; “A Mechanized Gait Trainer for Restoration of Gait”, Journal of Rehabilitation Research and Development, vol. 37, No. 6, Nov./Dec. 2000, pp. 701-708. |
“Argentine Father Helps Paralysed Son Walk”, Aljazeera News, May 7, 2012. |
Dusing, Stacey C.; Thorpe, Deborah E.: “A normative sample of temporal and spatial gait parameters in children using the GAITRite electronic walkway”, ScienceDirect, Gait & Posture, 25(1), pp. 135-139, 2007. |
Erdman, A.G. and Sandor, G.N., “Mechanism Design: Analysis and Synthesis”, Engelwood Cliffs, NJ, 1984, pp. 427-429. |
Corbridge, Laura M.; Goldman, Amy J.; Shu, Yu; Buster, Thad W.; Burnfield, Judith M.: “Clinician's Muscle Effort During Partial Body Weight Support Treadmill Training: Is It Hard Work?”, APTA Annual Conference Abstracts; PT 2009: The Annual Conference and Exposition of the APTA, Jun. 10-13, 2009. |
Burnfield, Judith M.; Irons, Sonya L.; Buster, Thad W.; Taylor, Adam P.; Hildner, Gretchen A.; Shu, Yu: “Comparative analysis of speed's impact on muscle demands during partial body weight support motor-assisted elliptical training”; Gait & Posture, pp. 314-320, 2014. |
Hillman, Susan J.; Stansfield, Benedict W.; Richardson, Alison M.; Robb, James E.: “Development of temporal and distance parameters of gait in normal children”, Gait & Posture, pp. 81-85, 2009. |
A Meyer-Heim MD et al.: “Feasability of robotic-assisted locomotor training in children with central gait impairment”, Developmental Medicine & Child Neurology, 49, pp. 900-906, 2007. |
Ganley, Kathleen J.; Powers, Christopher M.: “Gait kinematics and kinetics of 7-year-old children: a comparison to adults using age-specific anthropometric data”, Gait & Posture, pp. 141-145, 2005. |
Nelson, Carl A.; Burnfield, Judith M.: “Improved Elliptical Trainer Biomechanics Using a Modified Cardan Gear”, IDETC, DETC2012-70439, Aug. 2012. |
Nelson, Carl A.; Burnfield, Judith M.; Shu, Yu; Buster, Thad W.; Taylor, Adam P.; Graham, Andrew: “Modified Elliptical Machine Motor-Drive Design for Assistive Gait Rehabilitation”, J. Med. Devices, 2011. |
Fasoli, Susan E.; Ladenheim, Barbara; Mast, Joelle; Krebs, Hermano Igo: “New Horizons for Robot-Assisted Therapy in Pediatrics”, American Journal of Physical Medicine & Rehabilitation, Nov. 2012. |
Stansfield, B.W.; Hillman, S.J.; Hazlewood, M.E.; Lawson, A.M.; Mann, A.M.; Loudon, I.R.; Robb, J.E.: “Normalisation of gait data in children”, Gait & Posture, pp. 81-87, 2003. |
Stansfield, B.W.; Hillman, S.J.; Hazlewood, M.E.; Robb, J.E.: “Regression analysis of gait parameters with speed in normal children walking at self-selected speeds”, Gait & Posture, pp. 288-294, 2006. |
Shyu, Jenq-Huey; Chen, Ching-Kong; Yu, Chen-Chi; Luo, Yi-Jhong: “Research and Development of an Adjustable Elliptical Exerciser”, 13th World Congress in Mechanism and Machine Science, 2011. |
At L. Hof: “Scaling Gait Data to Body Size”, Gait & Posture, pp. 222-223, 1996. |
American Community Survey, “Sex by Age by Ambulatory Difficulty”, US Census Bureau, 2013. |
Burnfield, Judith M.; Shu, Yu; Buster, Thad; Taylor, Adam: “Similarity of Joint Kinematics and Muscle Demands Between Elliptical Training and Walking: Implications for Practice”, Physical Therapy, pp. 289-305, 2010. |
Perry, Jacquelin, “Gait Analysis—Normal and Pathological Function”, Slack Inc., Chapters 1-3, 2010. |
Burnfield, Judith et al., “Impact of Elliptical Trainer Ergonomic Modifications on Perceptions of Safety, Comfort, Workout, and Usability for People With Physical Disabilities and Chronic Conditions”, Physical Therapy, 2011. |
Nelson et al., “Synthesis of a Rehabilitation Mechanism Replicating Normal Gait,” 14th World Congress in Mechanism and Machine Science, pp. 1-8 (Oct. 2015). |
Number | Date | Country | |
---|---|---|---|
62243995 | Oct 2015 | US |