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Electromyography-Based Quantitative Representation Method for Upper-Limb Elbow Joint Angle in Sagittal Plane.

Pang M, Guo S, Huang Q, Ishihara H, Hirata H - J Med Biol Eng (2015)

Bottom Line: The results were calculated in real-time and used as control reference to drive an exoskeleton device bilaterally.The experimental results indicate that the proposed method can provide suitable prediction results with root-mean-square (RMS) errors of below 10° in continuous motion and RMS errors of below 10° in stepping motion with 20° and 30° increments.It is also easier to calibrate and implement.

View Article: PubMed Central - PubMed

Affiliation: Graduate School of Engineering, Kagawa University, Takamatsu, 761-0396 Japan.

ABSTRACT

This paper presents a quantitative representation method for the upper-limb elbow joint angle using only electromyography (EMG) signals for continuous elbow joint voluntary flexion and extension in the sagittal plane. The dynamics relation between the musculotendon force exerted by the biceps brachii muscle and the elbow joint angle is developed for a modified musculoskeletal model. Based on the dynamics model, a quadratic-like quantitative relationship between EMG signals and the elbow joint angle is built using a Hill-type-based muscular model. Furthermore, a state switching model is designed to stabilize the transition of EMG signals between different muscle contraction motions during the whole movement. To evaluate the efficiency of the method, ten subjects performed continuous experiments during a 4-day period and five of them performed a subsequent consecutive stepping test. The results were calculated in real-time and used as control reference to drive an exoskeleton device bilaterally. The experimental results indicate that the proposed method can provide suitable prediction results with root-mean-square (RMS) errors of below 10° in continuous motion and RMS errors of below 10° in stepping motion with 20° and 30° increments. It is also easier to calibrate and implement.

No MeSH data available.


Related in: MedlinePlus

Experimental setup. The electrode is attached on one of the subject’s upper arm (on the surface of the biceps brachii) and the ULED is placed on the other arm. The ULED is driven by the prediction results using the proposed method
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Fig1: Experimental setup. The electrode is attached on one of the subject’s upper arm (on the surface of the biceps brachii) and the ULED is placed on the other arm. The ULED is driven by the prediction results using the proposed method

Mentions: The proposed method was implemented to control the developed ULED to estimate its efficiency. The ULED was designed to provide passive and active rehabilitation training for stroke patients. There are three active degrees of freedom (DoFs) (one for the elbow joint and tow for the wrist joint) and four passive DoFs (two for the elbow joint and two for the wrist joint). The total weight of this device is 1.3 kg, making it suitable for home rehabilitation. The details of the ULED can be found elsewhere [23]. The proposed method can be used for home bilateral rehabilitation with the ULED. During home bilateral rehabilitation training, the hemiparesis patient can wear the ULED on the impaired upper limb and the proposed method can control the ULED using EMG signals recorded from their intact upper limb. Because the EMG signals are recorded from the intact upper limb, the healthy volunteers can take place of the patients in the experiments. The experimental setup is shown in Fig. 1.Fig. 1


Electromyography-Based Quantitative Representation Method for Upper-Limb Elbow Joint Angle in Sagittal Plane.

Pang M, Guo S, Huang Q, Ishihara H, Hirata H - J Med Biol Eng (2015)

Experimental setup. The electrode is attached on one of the subject’s upper arm (on the surface of the biceps brachii) and the ULED is placed on the other arm. The ULED is driven by the prediction results using the proposed method
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4414936&req=5

Fig1: Experimental setup. The electrode is attached on one of the subject’s upper arm (on the surface of the biceps brachii) and the ULED is placed on the other arm. The ULED is driven by the prediction results using the proposed method
Mentions: The proposed method was implemented to control the developed ULED to estimate its efficiency. The ULED was designed to provide passive and active rehabilitation training for stroke patients. There are three active degrees of freedom (DoFs) (one for the elbow joint and tow for the wrist joint) and four passive DoFs (two for the elbow joint and two for the wrist joint). The total weight of this device is 1.3 kg, making it suitable for home rehabilitation. The details of the ULED can be found elsewhere [23]. The proposed method can be used for home bilateral rehabilitation with the ULED. During home bilateral rehabilitation training, the hemiparesis patient can wear the ULED on the impaired upper limb and the proposed method can control the ULED using EMG signals recorded from their intact upper limb. Because the EMG signals are recorded from the intact upper limb, the healthy volunteers can take place of the patients in the experiments. The experimental setup is shown in Fig. 1.Fig. 1

Bottom Line: The results were calculated in real-time and used as control reference to drive an exoskeleton device bilaterally.The experimental results indicate that the proposed method can provide suitable prediction results with root-mean-square (RMS) errors of below 10° in continuous motion and RMS errors of below 10° in stepping motion with 20° and 30° increments.It is also easier to calibrate and implement.

View Article: PubMed Central - PubMed

Affiliation: Graduate School of Engineering, Kagawa University, Takamatsu, 761-0396 Japan.

ABSTRACT

This paper presents a quantitative representation method for the upper-limb elbow joint angle using only electromyography (EMG) signals for continuous elbow joint voluntary flexion and extension in the sagittal plane. The dynamics relation between the musculotendon force exerted by the biceps brachii muscle and the elbow joint angle is developed for a modified musculoskeletal model. Based on the dynamics model, a quadratic-like quantitative relationship between EMG signals and the elbow joint angle is built using a Hill-type-based muscular model. Furthermore, a state switching model is designed to stabilize the transition of EMG signals between different muscle contraction motions during the whole movement. To evaluate the efficiency of the method, ten subjects performed continuous experiments during a 4-day period and five of them performed a subsequent consecutive stepping test. The results were calculated in real-time and used as control reference to drive an exoskeleton device bilaterally. The experimental results indicate that the proposed method can provide suitable prediction results with root-mean-square (RMS) errors of below 10° in continuous motion and RMS errors of below 10° in stepping motion with 20° and 30° increments. It is also easier to calibrate and implement.

No MeSH data available.


Related in: MedlinePlus