• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.2155-2156
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• 2006

The purpose of this work is to investigate the fundamental properties of the gradual muscle force potentiation for the prediction of muscle force and body movement from the stimulation input with musculo-skeletal model. We investigated the dependence of force potentiation on both the pulse-amplitude and the pulse-duration. The experimental result showed that the force increment ratio during electrical stimulation decreased with pulse-amplitude. The force increment ratio decreased with short pulse-duration and was maintained to be constant with pulse-duration longer than $500{\mu}s$. A new model of the muscle potentiation based on these results is desired in the future.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.3
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• pp.632-640
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• 2007

The low force estimation method of skeletal muscle was proposed by using ICA(independent component analysis) and neuro-transmission model. An EMG decomposition is the procedure by which the signal is classified into its constituent MUAP(motor unit action potential). The force index of electromyography was due to the generation of MUAP. To estimate low force, current analysis technique, such as RMS(root mean square) and MAV(mean absolute value), have not been shown to provide direct measures of the number and timing of motoneurons firing or their firing frequencies, but are used due to lack of other options. In this paper, the method based on ICA and chemical signal transmission mechanism from neuron to muscle was proposed. The force generation model consists of two linear, first-order low pass filters separated by a static non-linearity. The model takes a modulated IPI(inter pulse interval) as input and produces isometric force as output. Both the step and random train were applied to the neuro-transmission model. As a results, the ICA has shown remarkable enhancement by finding a hidden MAUP from the original superimposed EMG signal and estimating accurate IPI. And the proposed estimation technique shows good agreements with the low force measured comparing with RMS and MAV method to the input patterns.

• The Journal of Korean Physical Therapy
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• v.18 no.3
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• pp.59-70
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• 2006

Purpose: This study is intended to examine the aquatic exercise on the improvement of muscle atrophy and motor function in an ischemic stroke model induced by middle cerebral artery occlusion. Methods: We used 60 Sprague-Dawely rats which were divided into 4 groups; the subjects were divided into group of 5 rats. Group I was a group of high dose aquatic exercise after inducing ischemic stroke; Group II was a group of low dose aquatic exercise after inducing ischemic stroke; Group III was a control group, Group IV was a sham group without ischemic stroke. Results: Muscle weight of gastrocnemius muscle was significantly difference in Group II compared to Group III on 8 weeks(p<0.05). For the changes in relative muscle weight of gastrocnemius muscle, there was significant increase in Group II compared to Group III on 8 weeks(p<0.05). For neurologic exercise behavior test, Group II generally had the highest score, compared to other groups. The results of behavior test that Group II improved in degeneration and inflammation of muscle fiber and decreased in destruction of nerve cells and cerebral infarction, indicating a similar state of muscle fiber and brain to Group III. Conclusion: Based on these results, aquatic exercise may improve muscle atrophy and contribute to the improvement of motor function.

• Smart Structures and Systems
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• v.16 no.3
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• pp.479-496
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• 2015

In this work, a novel artificial circular muscle based on shape memory alloy (S.M.A.) is proposed. The design is inspired from the natural circular muscles found in certain organs of the human body such as the small intestine. The heating of the prestrained SMA artificial muscle will induce its contraction. In order to measure the mechanical work provided in this case, the muscle will be mounted on a silicone rubber cylindrical tube prior to heating. After cooling, the reaction of the rubber tube will involve the return of the muscle to its prestrained state. A finite element model of the new SMA artificial muscle was built using the software "ABAQUS". The SMA thermomechanical behavior law was implemented using the user subroutine "UMAT". The numerical results of the finite element analysis of the SMA muscle are presented to shown that the proposed design is able to mimic the behavior of a natural circular muscle.

• Journal of the Ergonomics Society of Korea
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• v.11 no.1
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• pp.81-92
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• 1992

A two-dimensional static biochemical model of lower extremity in the seated posture was developed to assess muscular activities of lower extremity required for a variety of foot pedal operations. We found that the double linear optimization method that has been used for modelling articulated body segments does no predict the forces generated by biarticular muscles reasonably, so the revised double linear optimization scheme was used to consider the synergistic effects of biarticular muscles in our model, assuming that the muscle forces are distributed proportionally based on their physiological cross sectional area. The model incorporated three rigid body se- gments with six muscles to represnet lower extremity. For the model validation, three male subjects performed the experiments in which EMG activities of six lower extremity muscles were measured. Predicted muscle forces were compare with the corresponding EMG amplitudes and it showed no statistical difference. The model being developed can be used to design and assess pedal and foot-related tool design.

• Proceedings of the ESK Conference
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• 1994.04a
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• pp.124-135
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• 1994

A biomechanical model of lower extremity in seated postures was developed to assess muscular activities of lower extremity involved in a variety of foot pedal operations. It is found that nonlinear optimization method which has been used for modeling the articulated body segments does not predict the forces generated from biarticular muscles reasonably, so the revised nonlinear optimization scheme was employed to consider the synergistic effects of biarticular muscles in the model, assuming that the muscle forces are distributed proportionally based on their physiological cross sectional area and moment arm. The model incorporated four rigid body segments with the nine muscles to represent lower extreimity. For the model valida- tion, three male subjects performed the experiments in which EMG activities of the nine lower extremity muscles were measured. Predicted muscle forces were compared with the corresponding EMG amplitudes and it showed no statistical difference. The developed model can be used to design and to assess the pedals and foot-related equipments design.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.6 s.171
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• pp.207-212
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• 2005

The purpose of this work is to develop the FES controller that can cope with the muscle fatigue which is one of the most important problems of current FES (Functional Electrical Stimulation). The feasibility of the proposed FES controller was evaluated by simulation. We used a fitness function to describe the effect of muscle fatigue and recovery process. The FES control system was developed based on the biological neuronal system. Specifically, we used PD (Proportional and Derivative) and GC (Gravity Compensation) control, which was described by the neuronal feedback structure. It was possible to control of multiple joints and muscles by using the phase-based PD and GC control method and the static optimization. As a result, the proposed FES control system could maintain the cycling motion in spite of the muscle fatigue. It is expected that the proposed FES controller will play an important role in the rehabilitation of SCI patient.

• Journal of muscle and joint health
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• v.30 no.2
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• pp.70-82
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• 2023

Purpose: This study aims to systematically clarify and enhance the understanding of osteoporosis prevention interventions based on Health Belief Model (HBM). The analysis includes HBM constructs, intervention characteristics, and outcomes from prior studies. Methods: We extensively searched eight electronic databases to identify peer-reviewed studies that implemented HBM-based interventions for osteoporosis prevention until June 2023. Results: Initially, 638 articles were identified, and after a rigorous evaluation process, 11 articles were included in the evidence synthesis. The analysis revealed that HBM-based interventions significantly improved likelihood of taking action including knowledge, HBM constructs and adopting preventive behaviors such as calcium intake and exercise. However, most interventions included in this study did not fully encompass all five HBM constructs or specify the particular components adopted. Conclusion: There is a need for additional research and intervention refinement for a more comprehensive understanding of osteoporosis preventive interventions. This should involve a concerted effort to incorporate all HBM constructs into the context of osteoporosis prevention. Thus, more effective interventions promoting optimal preventive behaviors and reducing the burden of osteoporosis can be developed.

• Korean Journal of Computational Design and Engineering
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• v.17 no.6
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• pp.443-455
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• 2012

The configuration of a musculoskeletal (MS) system is closely related to the individual motions of the human body. Many researches have been focused on evaluating the associations between the MS configuration and the individual motion using patient-specific MS models, but it still remains a challenging issue to accurately predict the motion by differed configurations of the MS system. The main objective of this paper is to predict the changes of a patient-specific gait by altering the geometric parameters of the hip joint using function-based morphing method (FBM). FBM is suitable for motion analysis since this method provide a robust way to morph a MS model while preserving the biomechanical functions of the bones. Computed-muscle control technique is used to calculate the muscle excitations to reproduce the targeted motion within a digital MS model without the motion-captured data. We applied this approach to a patient who has an abnormal gait pattern. Results showed that the femoral neck length and the angle significantly affect to the motion especially for the hip abduction angle during gait, and that this approach is suitable for gait prediction.

• International Journal of Control, Automation, and Systems
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• v.6 no.6
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• pp.894-903
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• 2008

In this paper, we present an artificial muscle actuator producing rectilinear motion, called the Tube-Spring-Actuator(TSA). The TSA is supposed to be a prospective substitute in areas requiring macro forces such as robotics. It is simply configured from a synthetic elastomer tube with an inserted spring. The design of the TSA is described in detail and its analysis is conducted to investigate the characteristics of the actuator based on the derived model. In addition, the performance of the proposed actuator is tested via experiments.