Estimation of ankle joint angle from peroneal and tibial electroneurograms based on muscle spindle model

Author(s):  
Chou-Ching K Lin ◽  
Ming-Shaung Ju ◽  
Ching-Chao Chan
2012 ◽  
Vol 12 (04) ◽  
pp. 1250080 ◽  
Author(s):  
CHING-CHAO CHAN ◽  
CHOU-CHING K. LIN ◽  
MING-SHAUNG JU

This study develops a method for estimating the angle of a passively stretched ankle joint from electroneurograms (ENGs) based on structural muscle spindle models of the tibial and peroneal nerves. Passive ramp-and-hold and alternating stretches of the ankle joint are performed on an anesthetized rabbit. Two cuff electrodes are employed to measure the ENGs of peroneal and tibial nerves simultaneously. From the two ENG signals and the joint angle trajectory, two intrafusal muscle fiber models are constructed and their inverse models are derived. The results of the two models are combined to generate the final angle estimate. An optimization method, called sequential quadratic programming, is employed to find the model parameters that minimize the squared errors between the ankle angles predicted by the model and the measured ankle angles. The performance of the proposed approach is compared with those of an adaptive neuro-fuzzy inference system and an artificial neural network model. The results reveal that the proposed model has the best performance in estimating the ankle joint angle in large-range movements and the smallest tracing error. The proposed method effectively estimates the passive ankle joint angle using the inverse physiological model of an intrafusal muscle fiber.


2007 ◽  
Vol 45 (4) ◽  
pp. 375-385 ◽  
Author(s):  
Chou-Ching K. Lin ◽  
Ming-Shaung Ju ◽  
Hang-Shing Cheng

2019 ◽  
Vol 54 ◽  
pp. 101614 ◽  
Author(s):  
Saaveethya Sivakumar ◽  
Alpha Agape Gopalai ◽  
King Hann Lim ◽  
Darwin Gouwanda

1993 ◽  
Vol 74 (10) ◽  
pp. 1100-1106 ◽  
Author(s):  
G.Robert Colborne ◽  
Sandra J. Olney ◽  
Malcolm P. Griffin

1986 ◽  
Vol 370 (1) ◽  
pp. 108-118 ◽  
Author(s):  
Jen Yu Wei ◽  
Jose Simon ◽  
Mirjana Randic´ ◽  
P.R. Burgess
Keyword(s):  

Author(s):  
Alastair B. During ◽  
Sudesh Sivarasu ◽  
George Vicatos

A-priori research show that trans-tibial (TT) amputees display poor gait parameters when walking with passive mechanical ankle-foot prosthetics (AFP’s). This has large implications for the amputee populations in the developing world, who have limited access to advanced prosthetic technologies and instead rely on baseline AFP’s. Analysis of such baseline AFP’s in literature indicates that the predominant issue with these devices are their inability to adequately replicate the mechanics of a normal ankle during the stance phase of a walking gait cycle. This has shown to be a contributory cause of increased energy expenditure, as well as secondary complications such as osteoarthritis and joint deterioration. This paper presents the design and analysis of a modular low-cost ankle-joint prosthetic (AJP) that serves as an attachment to existing prosthetic feet, with the intention to improve the ankle mechanics thereof. The AJP is modelled to reproduce ankle joint mechanisms, specifically controlled relative angular flexion in the sagittal plane, using only simple mechanical elements (i.e. compression springs instead of electronics). Initial results were positive, indicating that the AJP improves the stance phase mechanics of the baseline AFP in a simulated TT amputee gait cycle. During forefoot dorsiflexion rollover, an 80%–132% (p < 0.001) increase in joint angle and a 42–56% decrease in ankle stiffness (p < 0.001 for all but one participant) is observed. Following heelstrike a 22%–77% (p < 0.001) increase in joint angle is observed. However equipment and methodology errors left the moment response of this phase unverifiable. The overall conclusion of this paper is that the introduction of the AJP to baseline AFP’s supplies evidence of improved rollover shapes, easier phase transitions, and the facilitation of footflat during mid-stance.


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