The effect of modifying foot progression angle on the knee loading parameters in healthy participants with different static foot postures

Qiu, Rongmei; Xu, Rui; Wang, Deqiang; Ming, Dong

doi:10.1016/j.gaitpost.2020.06.027

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…As changes in COP position are closely related to muscle activity 14) , the alteration of FPA could result in unfavorable biomechanical changes in the ankle joint but did not preclude the practice of gait modification to alteration of FPA, given the results. Furthermore, we predicted that the difference in arch height would have different effects on both COP 15) and KAM 16) , but no significant differences were observed between the three FPA conditions among the participants of this study.…”

Section: Discussionmentioning

confidence: 72%

Effect of foot progression angle alteration on medial–lateral center of pressure position during single-leg standing

Haba

Iwatsuki

2023

J Phys Ther Sci

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[Purpose] This study aimed to investigate the effect of altering the foot progression angle (FPA) on the center of pressure (COP) position during single-leg standing. [Participants and Methods] Fifteen healthy adult males participated. The participants performed single-leg standing on the left leg in three different FPA conditions, namely toe-in, neutral, and toe-out, in which the FPA was set to 0°, 10°, and 20°, respectively. The COP positions and pelvis angles were measured using a 3D motion analysis system, and each measurement value among the three conditions was compared. [Results] The medial–lateral COP position differed among conditions in the coordinate system based on the laboratory condition but did not differ in the coordinate system based on the longitudinal axis of the foot segment. Moreover, no changes were observed in pelvis angles that would affect COP position. [Conclusion] Altering the FPA does not change the medial–lateral position of the COP during single-leg standing. Here we show that COP displacement based on the laboratory coordinate system is involved in the mechanism-linking alteration of FPA and changes in knee adduction moment.

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Section: Discussionmentioning

confidence: 72%

Effect of foot progression angle alteration on medial–lateral center of pressure position during single-leg standing

Haba

Iwatsuki

2023

J Phys Ther Sci

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“…The CIRRIS database was recorded on two participants during normal walking (N) and while subjects were simulating 3 different gait strategies related to knee osteoarthritis [ 37 , 38 , 39 ]: right toe with an external angle (TA), flat strike of the right foot (rFF) and right trunk leaning (rTL). For each randomized condition, both participants walked for 2 min at 5 different speeds (0.8, 1, 1.2, 1.4, 1.6 m/s).…”

Section: Methodsmentioning

confidence: 99%

Detecting Gait Events from Accelerations Using Reservoir Computing

Chiasson-Poirier

Younesian²,

Turcot³

et al. 2022

Sensors

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Segmenting the gait cycle into multiple phases using gait event detection (GED) is a well-researched subject with many accurate algorithms. However, the algorithms that are able to perform accurate and robust GED for real-life environments and physical diseases tend to be too complex for their implementation on simple hardware systems limited in computing power and memory, such as those used in wearable devices. This study focuses on a numerical implementation of a reservoir computing (RC) algorithm called the echo state network (ESN) that is based on simple computational steps that are easy to implement on portable hardware systems for real-time detection. RC is a neural network method that is widely used for signal processing applications and uses a fast-training method based on a ridge regression adapted to the large quantity and variety of IMU data needed to use RC in various real-life environment GED. In this study, an ESN was used to perform offline GED with gait data from IMU and ground force sensors retrieved from three databases for a total of 28 healthy adults and 15 walking conditions. Our main finding is that despite its low complexity, ESN is robust for GED, with performance comparable to other state-of-the-art algorithms. Our results show the ESN is robust enough to obtain good detection results in all conditions if the algorithm is trained with variable data that match those conditions. The distribution of the mean absolute errors (MAE) between the detection times from the ESN and the force sensors were between 40 and 120 ms for 6 defined gait events (95th percentile). We compared our ESN with four different state-of-the-art algorithms from the literature. The ESN obtained a MAE not more than 10 ms above three other reference algorithms for normal walking indoor and outdoor conditions and yielded the 2nd lowest MAE and the 2nd highest true positive rate and specificity when applied to outdoor walking and running conditions. Our work opens the door to using the ESN as a GED for applications in wearable sensors for long-term patient monitoring.

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“…FPA gait modification has been suggested to modify foot pressure in children with neuromuscular diseases [6], and FPA modifications and physical therapy may be required for children with abnormal toe-in or toe-out angles [7]. FPA has further been linked to cerebral palsy, Perthes disease, gastrocnemius inflexibility, and distal tibial physeal fractures [8]- [11], and FPA gait modification can lead to changes in foot pressure loading [12], [13], ankle eversion moment [14], knee adduction moment [14]- [16], and hip joint moments [17]. While the vast majority of FPA gait modification studies require tethered, laboratorybased equipment and utilize either visual biofeedback or verbal gait modification cues [18], [19], wearable haptic biofeedback could enable FPA gait modification for more widespread use in clinics and natural environments [20]- [22].…”

Section: Introductionmentioning

confidence: 99%

Wearable Real-Time Haptic Biofeedback Foot Progression Angle Gait Modification to Assess Short-Term Retention and Cognitive Demand

Shull¹,

Xia

Charlton

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Foot progression angle gait (FPA) modification is an important part of rehabilitation for a variety of neuromuscular and musculoskeletal diseases. While wearable haptic biofeedback could enable FPA gait modification for more widespread use than traditional tethered, laboratory-based approaches, retention, and cognitive demand in FPA gait modification via wearable haptic biofeedback are currently unknown and may be important to reallife implementation. Thus, the purpose of this study was to assess the feasibility of wearable haptic biofeedback to assess short-term retention and cognitive demand during FPA gait modification. Ten healthy participants performed toe-in (target 10 degrees change in internal rotation) and toe-out (target 10 degrees change in external rotation) haptic gait training trials followed by shortterm retention trials, and cognitive multitasking trials. Results showed that participants were able to initially respond to the wearable haptic feedback to modify their FPA to adopt the new toe-in (9.7±0.8 degree change in internal rotation) and toe-out (8.9±1.0 degree change in external rotation) gait patterns. Participants retained the modified gait pattern on average within 3.9±3.6 deg of the final haptic gait training FPA values. Furthermore, cognitive multitasking did not influence short-term retention in that there were no differences in gait performance during retention trials with or without cognitive multitasking. These results demonstrate that wearable haptic biofeedback can be used to assess short-term retention and cognitive demand during FPA gait modification without the need for traditional, tethered systems.

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The effect of modifying foot progression angle on the knee loading parameters in healthy participants with different static foot postures

Cited by 5 publications

References 39 publications

Effect of foot progression angle alteration on medial–lateral center of pressure position during single-leg standing

Effect of foot progression angle alteration on medial–lateral center of pressure position during single-leg standing

Detecting Gait Events from Accelerations Using Reservoir Computing

Wearable Real-Time Haptic Biofeedback Foot Progression Angle Gait Modification to Assess Short-Term Retention and Cognitive Demand

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