Estimation of muscle and joint forces in the human lower extremity during rising motion from a seated position

Jo, Young Nam; Kang, Moon Jeong; Yoo, Hong Hee

doi:10.1007/s12206-013-1111-x

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Figure 4 shows the steps required to estimate muscle forces from the SEMG signal (Buchanan & Lloyd, 2004; Buchanan & Wang, 2002; Dhindsa & Agarwal, 2017; Gordon & Huxtey, 1966; Jo & Kang, 2014; Lloyd, 2003; Olney, 1985). The SEMG signal was recorded for various knee muscles, namely: VM, VL, RF, BF, GMED, STEM during squatting movement.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of 3D design lower limb exoskeleton on human musculoskeletal with various loads

Sohane

Agarwal

2021

Expert Systems

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The surface electromyography (SEMG) based exoskeleton presents a new opportunity for human augmentation and rehabilitation. Developing an efficient exoskeleton in real‐time is challenging as each individual's muscles and joint forces are unique. The aim of this research article is to analyze and evaluate the design of the lower limb exoskeleton during the squatting movement in a simulated environment to address problems concerning the development of a functional exoskeleton for an individual. An exoskeleton was designed in SolidWorks CAD software and imported into AnyBody Modelling Software (AMS). Thereafter, the performance of 3D designed exoskeleton was evaluated by placing various loads (0:5:25 kg) on both the shoulders of the human musculoskeletal. The results show the force in the knee muscles with the assistance of the exoskeleton were reduced significantly by 65.18–97.20% in the biceps femoris, 50.01–33.16% in the rectus femoris, 41.87–28.31% in the vastus lateralis, 42.25–28.78% in the vastus medialis, 7.28–22.91% in gluteus medius, and 22.54–13.13% in semitendinosus. The force in the knee joint was reduced by 44.04–31.43% as the load increases. Individual muscle force estimated from the SEMG signal and AMS during squatting was also compared for validation. The developed model helps in understanding the load effects on different muscles and provides useful information for the construction of an individual's optimized exoskeleton.

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Section: Methodsmentioning

confidence: 99%

Evaluation of 3D design lower limb exoskeleton on human musculoskeletal with various loads

Sohane

Agarwal

2021

Expert Systems

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“…We can get the values of a, b, and c by solving (5). Putting the value of a, b, and c in (3), we can get the equation of the parabola for best fit as well as non linear relationship between work done and EMG results for lower limb muscles.…”

Section: B Formulation To Relate Between Work Done and Emg Potentialsmentioning

confidence: 99%

“…Force and moment estimation of lower limb joints is studied in [4]. The survey of muscle and joint forces in the human lower extremity during rising motion is performed in [5]. Authors in [6]- [7], investigated EMG activity of the lower limb muscles such as medial gastrocnemius, lateral gastrocnemius muscle, etc.…”

Section: Introductionmentioning

confidence: 99%

Estimation of work done in lower limb using EMG

Khanam

Ahmad

2015

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)

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Estimation of human lower limb motions is elementary to enable power-assist robotic systems used for lower limb disabled persons. These robotic systems are based on lower limb muscles electromyographic (EMG) signals. EMG allows for the measurement of the change in the membrane as voltage from our muscles relates to work done. Apparently, there is no particular technique to estimate the mathematical relation between work done and surface EMG (sEMG) value of lower limb muscles. This study aims to propose a numerical model to estimate the muscle work done in the human lower extremity. This paper investigates the activity of the Biceps Femoris (BF) and Medial Gastrocnemius (MG) muscles of healthy subjects during lifting different known weight to a defined height and corresponding sEMG voltage is measured. It is observed that EMG voltage maintain almost non linear parabolic relationship with work done. We have also shown the accuracy of our proposed mathematical model considering all facts of errors numerically. A significant findings is that incrementing weight over 2 kg undergoes in saturated EMG potential, which means muscle fatigue creates in lower limb muscles in that situation.

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Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robots

Jephil

Acharaya

et al. 2019

Series in BioEngineering

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Estimation of muscle and joint forces in the human lower extremity during rising motion from a seated position

Cited by 4 publications

References 15 publications

Evaluation of 3D design lower limb exoskeleton on human musculoskeletal with various loads

Evaluation of 3D design lower limb exoskeleton on human musculoskeletal with various loads

Estimation of work done in lower limb using EMG

Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robots

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