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. 2019:7:109840-109855.
doi: 10.1109/ACCESS.2019.2933614. Epub 2019 Aug 6.

A Phase Variable Approach for Improved Rhythmic and Non-Rhythmic Control of a Powered Knee-Ankle Prosthesis

Affiliations

A Phase Variable Approach for Improved Rhythmic and Non-Rhythmic Control of a Powered Knee-Ankle Prosthesis

Siavash Rezazadeh et al. IEEE Access. 2019.

Abstract

Although there has been recent progress in control of multi-joint prosthetic legs for rhythmic tasks such as walking, control of these systems for non-rhythmic motions and general real-world maneuvers is still an open problem. In this article, we develop a new controller that is capable of both rhythmic (constant-speed) walking, transitions between speeds and/or tasks, and some common volitional leg motions. We introduce a new piecewise holonomic phase variable, which, through a finite state machine, forms the basis of our controller. The phase variable is constructed by measuring the thigh angle, and the transitions in the finite state machine are formulated through sensing foot contact along with attributes of a nominal reference gait trajectory. The controller was implemented on a powered knee-ankle prosthesis and tested with a transfemoral amputee subject, who successfully performed a wide range of rhythmic and non-rhythmic tasks, including slow and fast walking, quick start and stop, backward walking, walking over obstacles, and kicking a soccer ball. Use of the powered leg resulted in clinically significant reductions in amputee compensations for rhythmic tasks (including vaulting and hip circumduction) when compared to use of the take-home passive leg. In addition, considerable improvements were also observed in the performance for non-rhythmic tasks. The proposed approach is expected to provide a better understanding of rhythmic and non-rhythmic motions in a unified framework, which in turn can lead to more reliable control of multi-joint prostheses for a wider range of real-world tasks.

Keywords: Powered prostheses; rehabilitation robotics; transfemoral amputees.

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Figures

FIGURE 1.
FIGURE 1.
(a) Human leg’s joint angle trajectories during one stride of walking with normal speed and stride period T [8]. (b) Definition of the joint angles.
FIGURE 2.
FIGURE 2.
(a) The preliminary finite state machine based on forward walking. The phase variable, s, in the yellow circle states is obtained from (2), and in the blue rectangle states from (3). (b) The complete finite state machine for computing the phase variable for control of the prosthetic leg for forward and backward walking and general non-rhythmic tasks. Again, the yellow circles correspond to (2), and the blue rectangles to (3).
FIGURE 3.
FIGURE 3.
(a) Block diagram of the proposed controller for the knee-ankle prosthesis. qk and qa represent knee and ankle joint angles, respectively, and qkd and qad are their desired values. (b) The powered knee-ankle prosthetic leg worn by the transfemoral amputee participant.
FIGURE 4.
FIGURE 4.
Phase variable and joint angle plots for (a) a forward walking trial between handrails, and (b) a backward walking trial.
FIGURE 5.
FIGURE 5.
Comparison of joint ankle powers during stance phase for overground trials with powered and passive legs. A significantly higher pushoff power is observed for the powered leg compared to the passive leg.
FIGURE 6.
FIGURE 6.
Illustration of obstacle crossing using toe marker trajectory. A high clearance can be seen using the powered leg, whereas much lower clearances are seen using the passive leg. For better illustration, different scales for horizontal and vertical axes have been applied.
FIGURE 7.
FIGURE 7.
Thigh and knee angles during kicking a soccer ball with the powered prosthesis. After the shot, the leg retracts and then is put on the ground (rest).
FIGURE 8.
FIGURE 8.
Mean ± std of the joint angles of the passive leg as a function of normalized time for the treadmill tests with the amputee subject; (a) a 60-second trial with slow speed (0.7 m/s); (b) a 60-second trial with normal speed (1.0 m/s); and (c) a 45-second trial with fast speed (1.3 m/s). The able-bodied reference data for the three speeds are from [8].
FIGURE 9.
FIGURE 9.
Mean ± std for phase variable, and commanded and measured joint angles vs. normalized time for the treadmill tests with the amputee subject; (a) a 60-second trial with slow speed (0.7 m/s); (b) a 60-second trial with normal speed (1.0 m/s); and (c) a 30-second trial with maximum speed (1.6 m/s). Reference trajectories are normal-speed in all cases.
FIGURE 10.
FIGURE 10.
Mean ± std for phase variable, and commanded and measured joint angles vs. normalized time for treadmill test with the able-bodied subject; (a) a 30-second trial with slow speed (0.7 m/s); (b) a 30-second trial with normal speed (0.9 m/s); and (c) a 30-second trial with fast speed (1.1 m/s). Reference trajectories are normal-speed in all cases.
FIGURE 11.
FIGURE 11.
(a) Mean foot angles of the amputee subject’s sound leg while wearing the powered (blue line) and passive (black dashed line) legs during fast treadmill walking. Also shown is the mean global foot angle of able-bodied reference data at fast cadence (green dottedline) [8]. Red circles show peak global foot angle during single support period, i.e., vaulting angle. (b) Mean ankle marker trajectories during fast treadmill walking representing differences in hip circumduction while using the powered and passive legs. Left: Prosthetic leg side. Right: Sound leg side.

References

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