1. Introduction
One of the tasks during single-limb stance is to support the bodyweight by preventing a “collapse” (hip flexion, knee flexion, and ankle dorsiflexion) of the lower extremity. The principle of motor abundance [
1] suggests that this can be accomplished in many ways. Both Sutherland [
2] and Murray et al. [
3] have suggested, over 50 years ago, that the plantar flexors could stabilize the knee during single-limb stance if the knee extensors were weak. This idea was extended by Winter’s concept of a support moment [
4], which is the algebraic sum of the ankle, knee and hip torque (moment). He proposed that, as long as the overall support torque was sufficiently large, the lower limb would not collapse, despite decreased torque at any one individual joint. However, he never determined exactly how large “sufficiently large” had to be, nor what (if any) “side effects” may result from increasing torque at one joint while decreasing torque at another. Despite these shortcomings, textbooks still describe the ability of the plantar flexors and hip extensors to extend the knee [
5].
However, for any given state of the musculoskeletal system, there is one unique solution for each net joint torque (NJT) that satisfies the equations of motion. This would suggest that if one or more joint torques compensated for insufficient torque at another joint in the chain, then either the posture or the forces acting on the system would have to be different. This paper is concerned with the latter.
Simple models have been used in biomechanics research to elucidate important principles of human movement. Hof [
6] demonstrated, through simple models, that each net joint torque about a medial–lateral axis will produce both vertical and horizontal forces in the sagittal plane. A hip NJT will produce a force into the ground that has an orientation parallel to a vector from the knee-joint center to the ankle-joint center. Similarly, a knee NJT will produce a force into the ground that is parallel to a vector from the hip-joint center to the ankle-joint center, and an ankle NJT will produce a force into the ground that is parallel to a vector from the hip-joint center to the knee-joint center [
6]. This suggests that, for a given posture, any increase in one NJT to compensate for a deficiency in another NJT will create a net horizontal ground reaction force (GRF). However, this idea has not been thoroughly explored.
There is some experimental evidence to support this assertion, however. In a study of hopping, variance in ankle, knee, and hip NJT minimized vertical ground reaction force variance, but increased horizontal ground reaction force variance [
7]. However, that study did not link specific ground reaction forces to specific NJTs, nor did it examine how these links are affected by posture. Both are important to further our understanding of compensations and their consequences.
The primary purpose of this computer simulation study was to examine a model’s responses to a decrease in NJT at the knee while a particular posture is maintained and collapse of the leg (operationally defined as creating a vertical ground reaction force equal to the model’s body weight) is prevented. I hypothesized that a decrease in knee NJT would be compensated for by increases in ankle and hip NJT, and that these compensations would create a nonzero horizontal ground reaction force. A secondary purpose of this study was to test the model’s performance when ankle and hip NJTs were reduced.
2. Materials and Methods
The model consisted of 4 rigid bodies representing a foot, shank, thigh, and HAT (head, arms, and trunk). The rigid bodies were connected together by frictionless revolute joints. The generalized coordinates were sagittal-plane angles for the ankle, knee, and hip (q
A, q
K, and q
H, respectively). There was a torque actuator about each joint, representing the net joint torque at the ankle (T
A), knee (T
K), and hip (T
H). Segmental lengths and masses were based on published data as a function of height and body mass [
8,
9,
10] for a man who is 1.8 m tall, with a body mass of 85 kg. See
Figure 1.
For a given static posture, initial T
A, T
K, and T
H were solved for using Kane’s Method in the MotionGenesis Kane 6.3 software environment (MotionGenesis LLC, Portola Valley, CA, USA). I verified that these joint torques were identical to those obtained using standard inverse dynamics equations [
10]. The contributions of each NJT to the horizontal and vertical GRFs in the sagittal plane were calculated using Jacobian matrices, as outlined by Valero-Cuevas [
11]. I compared the sum of these contributions to the original GRF values to validate the calculations. Each NJTs’ resultant ground reaction force vector was calculated using the square root of the sum of the squares, and the angle between it and positive horizontal was calculated using trigonometric functions. The location of the center of pressure (COP) was calculated as described in [
12] and the location of the system’s center of mass in the Y- and Z-direction was calculated as the weighted average of the position of each segment in each direction. I confirmed that the COP location was directly under the system’s center of mass. Additionally, I calculated the orientation of the position vectors from joint center to joint center relative to the positive Y-axis (horizontal), and compared them to the orientation of the ground reaction force created by each NJT. See
Figure 2 for an example.
To simulate knee extensor weakness, T
K was decreased by 30% in 1% increments, while keeping the vertical GRF equal to body weight. Kane’s Method in the MotionGenesis Kane 6.3 software environment (MotionGenesis LLC, Portola Valley, CA, USA) was used to solve for T
A, T
H, the horizontal GRF, and the location of the COP. I discarded any trial in which the COP was outside the base of support (length of the foot). For each decrement in T
K, the contributions of each NJT to the horizontal and vertical GRF were once again calculated using the methods outlined by Valero-Cuevas [
11] and the orientation of the vectors as described above. The sum of the contributions equaled the vertical and horizontal ground reaction forces, validating the calculations.
Only conditions that required a knee extensor NJT were considered. Conditions that were not considered either required no knee NJT (qA = qK; qH = 0) or required a knee flexor NJT (qA = qK; qH > 0 and qA > qK). The following conditions were modeled:
Hip-Joint Center Anterior to Ankle-Joint Center: To meet this condition while still requiring a knee extensor NJT, qK had to be greater than qA but less than 2 × qA, and qH had to be less than qK. I chose to model these conditions as qA = qH and qK = 1.5 × qA.
Hip-Joint Center Vertically Aligned with the Ankle-Joint Center: For this condition, q
K ≈ 2 × q
A. I chose to model these conditions with q
H ≈ q
A and with q
H ≈ q
K. Because the shank and thigh are not the same length [
8], the exact angles inputted into the model for q
K were 20.04124° and 40.08514° when the q
A values were 10° and 20°, respectively.
Hip-Joint Center Posterior to Ankle-Joint Center: For this condition, qK had to be greater than 2 × qA, and qH had to be larger than qK. I chose to model these conditions as qK = 3 × qA and qH = 4 × qA.
Each condition was simulated in an initial configuration (less flexed) and then with all of the angles doubled (more flexed). A complete list of all joint angles is listed in
Table 1 and the angles are represented with stick figures in
Figure 3. To test the model’s performance, the process was repeated for each of these conditions with decreases in ankle NJT and then decreases in hip NJT.
3. Results
The same linear relationship existed between changes in TK and changes in TA, whether TK was decreased or TA was decreased. Similarly, the same linear relationship existed between changes in TK and changes in TH, regardless of which of these two values was decreased. In other words, decreases in TA or TH could be modeled as an increase in TK. The results testing the model’s performance will therefore be presented as increases in TK from 100% to 130%. For all simulations that decreased TK, the COP remained within the base of support; this was not the case for all conditions in which TK was increased.
A decrease in T
K led to linear increases in T
A (
Figure 4) and T
H (
Figure 5), although the slopes of the lines differed between postures. Increases in T
K led to linear decreases in T
A and T
H. For each posture, the slope was the same for increases and decreases in T
K. Similarly, a change in T
K led to a linear increase in the horizontal GRF (
Figure 6), with the slopes also being dependent upon the posture. In all cases, a decrease in T
K resulted in a horizontal GRF—one oriented in the negative (posterior) direction, and one oriented in the positive (anterior) direction was seen with an increase in T
K.
Each torque created vertical and horizontal components of the GRF. The sum of all the components met the task objective of creating a vertical GRF equal to body weight (833.85 N). The sum of the horizontal components of the GRF only equaled zero when the T
K was 100% (
Figure 7,
Figure 8 and
Figure 9). The resultant angles from the positive horizontal axis are presented in
Table 2. This angle was equal to the angle created by the position vector from the respective joint centers, except for the knee. A complete description of the results for each condition is presented below.
3.1. Hip-Joint Center Anterior to Ankle-Joint Center (A and B)
TA produced a GRF vector that had an orientation parallel to the position vector from the KJC to the HJC, and TH produced a GRF vector that had an orientation parallel to the position vector from the AJC to the KJC. The difference in orientations between the vector TK-produced GRF and the position vector from the AJC to the HJC was less than 1° for the less-flexed position and less than 2° for the more-flexed position. Increased flexion increased the angle for the GRF produced by TA and decreased the angle produced by TH and TK. TA produced a posteriorly-directed GRF, while TK and TH produced an anteriorly-directed GRF for both the less-flexed and more-flexed conditions. Because TA had a greater increase in response to a decrease in TK than did TH, there is a net negative horizontal GRF that increased from the less-flexed to the more-flexed position.
3.2. Hip-Joint Center Vertically Aligned with the Ankle-Joint Center (C, D, E, and F)
Two different trunk inclination angles were simulated in this position. The first was when qH ≈ qA (Conditions C and D). Initially, TH was zero. TA produced a GRF vector that was parallel to the position vector from the KJC to the HJC, and TH (when present) produced a GRF vector that was parallel to the position vector from the AJC to the HJC. The difference in orientation between the vector TK-produced GRF and the position vector from the AJC to the HJC was less than 1° for the less-flexed position and approximately 2° for the more-flexed position. Increased flexion increased the angle for the GRF produced by TA and decreased the angle produced by TH and TK. TA produced a posteriorly-directed GRF, while TK and TH produced an anteriorly-directed GRF for both the less-flexed and more-flexed conditions. Because TA had a greater increase in response to a decrease in TK than did TH, there is a net negative horizontal GRF that increased from the less-flexed to the more-flexed position. For the second condition, qH = qK (Conditions E and F). This increased TH. The directions of the force vectors were the same (qH does not affect the direction of the force vectors) as when qH ≈ qA, but the greater TH meant that there was less of a negative horizontal ground reaction force.
3.3. Hip-Joint Center Posterior to Ankle-Joint Center (G and H)
TA produced a GRF vector that was parallel to the position vector from the KJC to the HJC, and TH produced a GRF vector that was parallel to the position vector from the AJC to the HJC. The difference in orientation between the vector TK-produced GRF and the position vector from the AJC to the HJC was less than 2° for the less-flexed position and approximately 3° for the more-flexed position. Increased flexion increased the angle for the GRF produced by TA and TK and decreased the angle for the GRF produced by TH. TA and TK produced a posteriorly-directed GRF, while TH produced an anteriorly-directed GRF for both the less-flexed and more-flexed conditions. Because TA had a greater increase in response to a decrease in TK than did TH, there was a net negative horizontal GRF that increased from the less-flexed to the more-flexed position.
3.4. Model Performance
Increasing TK had the opposite effect on the model, compared to decreasing TK. Whereas decreasing TK below 100% led to increases in both TA and TH, increases in TK led to decreases in both TA and TH. In four conditions (C, D, G, and H), increasing TK above 100% gradually led TA to a dorsiflexor torque, and in two conditions (C and D) TH gradually became a flexor torque. In all cases, increasing TK above 100% led to a net positive (anterior) horizontal GRF.
4. Discussion
This computer simulation study examined the effects of decreased knee NJT on a planar, multi-joint model emulating a single-limb stance. The findings support the initial hypotheses, in that (1) decreased torque about the knee could be compensated for by increased torque and the hip and ankle, preventing collapse, and (2) the compensatory torques created a net-posteriorly-directed ground reaction force. These findings were consistent across all eight conditions simulated in this study and could be attributed to a greater increase in compensatory torque about the ankle compared to the compensatory torque created about the hip. An increased flexed posture led to greater torques and, thus, greater horizontal ground reaction forces.
The ability of the ankle and hip NJT to compensate for a decrease in knee NJT was originally proposed over 50 years ago [
2,
3]
, and was demonstrated more recently during hopping tasks [
13]. While Fox and colleagues [
14] demonstrated how each NJT can contribute to the vertical force on a barbell during isometric squats, they did not examine the effects of the NJTs on the horizontal forces. Yen et al. [
7] studied NJT fluctuations during in-place hopping. They found that the variances in ankle, knee, and hip NJT minimized the variance in the vertical GRF, but also that these NJT variances caused the horizontal GRF to vary from hop to hop. Subjects alternated between forward and backward hops, which kept them in the same horizontal position only when averaged over the 160 hops analyzed for the study. However, the above-cited studies did not explain why NJT variances led to the horizontal GRFs. These computer simulations help to do just that.
Two factors explain these findings. First, posture determines the direction of the ground reaction force produced by each net joint torque [
6]. Interestingly, the ankle angle determines the orientation of the AJC to the KJC and is thus responsible for the direction of the GRF produced by the hip NJT. The ankle and knee angles combined determine the orientation of the GRF produced by both the knee and ankle NJT. While the hip angle will influence the amount of torque necessary about the hip, knee, and ankle [
15], it does not influence the direction of the ground reaction force produced by each individual NJT. Second, while decreasing the amount of knee NJT led to compensatory increases in both the ankle and hip NJT, the increase in NJT was greater at the ankle in all postures simulated. In all postures studied, the ankle NJT produced a posteriorly-directed GRF while the hip NJT produced an anteriorly-directed GRF. Together, these factors explain why the net effect was a posteriorly-directed GRF for the postures studied.
The results are consistent with inverse dynamics calculations, in which an increase in ankle NJT will lead to a decrease in knee NJT and a subsequent increase in hip NJT as the NJTs propagate up the limb [
10]. Experimentally, this propagation has been demonstrated in sit-to-stand [
16] and landing tasks [
17]. Another study found fatigue of the thigh musculature also decreased the NJT about the knee and increased NJT about the ankle during a single-leg hop [
13], but also that this led to an increased knee flexion angle as well. In addition to not being able to control for landing posture, that study also used a step-up exercise to fatigue the knee muscles, which has been shown to put a large demand on the hip as well as the knee extensors [
18]. These simulations were able to overcome these limitations by keeping the posture the same and only decreasing the NJT about the knee.
These findings mostly agree with the calculations of Hof [
6] in that the ankle NJT produced a GRF vector with the same orientation as a position vector from the KJC to the HJC, and the hip NJT produced a GRF vector with the same orientation as a position vector from the AJC to the KJC. The GRF vector produced by the knee NJT did not have the same orientation as the position vector from the AJC to the HJC. Disagreement between the two vectors ranged from less than 1° to a little over 3°. While it may be tempting to attribute these differences to rounding errors, the differences may be important. An intriguing case occurred when the HJC was directly over the AJC and the hip angle was approximately equal to the ankle angle. In the initial condition, when knee NJT was equal to 100%, the hip NJT was zero. In both the more-flexed and less-flexed positions, the angle between the positive horizontal axis and the position vector from the AJC to HJC was 90°. This would indicate that the knee NJT would create only a vertical GRF. But in this position, the ankle NJT produced a negative horizontal GRF. Since the hip NJT was zero, the only other torque able to counteract the effects of the ankle and create a horizontal GRF equal to zero is the knee. This would not be possible if the knee NJT’s force vector was 90° from the horizontal. The slight angle away from the vertical (89° in the less flexed and 88° in the more flexed conditions) was necessary to maintain the condition of static equilibrium and may be attributed to the calculation of the force vectors relative to the center of mass rather than the “endpoint” (i.e., acromion), as was performed in a previous study [
14].
The model performed as expected when ankle and hip weaknesses were simulated. First, the same linear relationships existed between the ankle and knee NJT and between the knee and hip NJT, regardless of whether the hip or ankle NJT were decreased, or the knee NJT was increased. Second, as stated previously and consistent with inverse dynamics calculations, the NJTs propagate up the chain: a decrease in ankle NJT would lead to an increase in knee NJT and a decrease in hip NJT [
10]. Third, the effect of increasing knee NJT was the creation of an anteriorly-directed horizontal ground reaction force, which is in the opposite direction of decreases in the knee NJT. Taken together, these results suggest that the model performs well, irrespective of which joint weakness it simulates. One limitation of this study was that the lower extremity was modeled as a single leg. The position of the non-stance leg has been shown to affect both the body’s center-of-mass location during gait [
19] and the kinetics of the stance limb during single-leg squats [
20,
21]. Future studies should include a non-stance limb to determine how that may affect the results.
Another limitation of this study is that it was limited to the sagittal plane. The ability of frontal and transverse plane NJTs to prevent lower extremity collapse is not well understood. However, in previous work, most of the three-dimensional support moment was produced by NJTs about an axis perpendicular to the leg plane during both pirouette turns [
22] and golf swings [
23]. While it was reasonable for this study to only include sagittal-plane NJTs, further work should evaluate the contributions of frontal and transverse plane NJTs to the vertical and horizontal ground reaction forces.
This study was also limited to a static analysis of eight different postures. While these results appear robust across the different postures representing the hip-joint center as anterior to the ankle-joint center, vertically aligned with the ankle-joint center, and posterior to the ankle-joint center, other postures should also be simulated. For example, the hip and knee NJT torque may demonstrate increased contributions with more-flexed postures [
14]. Additionally, the Jacobian matrix has been used to evaluate NJTs’ contribution to endpoint forces, primarily during static tasks [
11]. Other methods (with their own set of assumptions and limitations), such as induced acceleration [
24] or induced power analysis [
25], may need to be employed during dynamic tasks. Finally, the effects of the posteriorly-directed GRF will be different for different tasks. For example, a posteriorly-directed GRF may cause one to lose balance when standing on a single leg, but may slow the horizontal velocity of the center of mass during gait, and may actually be necessary to initiate a stop [
26].
Validating the model on human subjects would be problematic. First, it could be difficult to find a sufficient number of subjects who have isolated knee-extensor weakness in varying degrees without any other impairment. Second, those subjects may not be able to hold all of the same postures as the model. Third, each subject may compensate for their knee weakness in different ways. However, this simple model does provide insights into the ability of the ankle plantar flexors and hip extensors to prevent collapse of the leg in the presence of knee extensor weakness, and the “side effects” of doing so. One benefit of this study is that it tests the isolated effects of diminished knee torque to varying degrees with different postures, providing a mechanical rationale to explain experimental findings and to generate hypotheses for further testing.