• Title/Summary/Keyword: unimanual

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Comparison of Bimanual and Unimanual Movements on Muscle Activity in Healthy Adults (정상인에서 양손 및 한손 움직임 시 근활성도 비교)

  • Kim, Taehoon
    • Journal of The Korean Society of Integrative Medicine
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    • v.6 no.1
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    • pp.75-81
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    • 2018
  • Purpose : The aim of this study was to compare the muscle activities of thumb and wrist during unimanual, bimanual symmetric and bimanual reciprocal movements using surface electromyography. Method : Thirty-six participants were involved in this study. Two blocks were used to perform unimanual, bimanual symmetric and bimanual reciprocal movements of thumb and wrist. Muscle activities in the flexor pollicis brevis, abductor pollicis brevis, extensor carpi radialis and flexor carpi radialis were measured using an surface EMG system. Result : For the flexor pollicis brevis and abductor pollicis brevis, significant difference in the muscle activity were found among the unimanual, bimanual symmetric and bimanual reciprocal movement. For the extensor carpi radialis and flexor carpi radialis, the unimanual movement significantly different from the bimanual symmetric and reciprocal movements. Conclusion : Both the thumb and wrist, bimanual symmetric and reciprocal movements were more efficient than the unimanual movement. Moreover, with regard to the thumb, the bimanual reciprocal movement was more efficient than the bimanual symmetric movement.

Analysis of Transportation Movements in Patients with Hemiparesis

  • Kim, Do-Yeong;Kim, Tae-Hoon
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.15-20
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    • 2020
  • The objectives of this study were to compare unimanual, symmetrical and reciprocal movement of transportation. Nineteen participants with post-stroke hemiparesis were involved in this study. We used the Fitmeter accelerometer to measure the dependent variables: signal vector magnitude, peak acceleration and peak deceleration. With respect to the hand and arm, intensity of unimanual movement was higher than that of symmetrical movement, and reciprocal movement was greater than that of symmetrical movement. With regard to the trunk, intensity of unimanual movement was lower than that of symmetrical movement, and within bimanual movement, reciprocal movement was greater than that of symmetrical movement. In conclusion, reciprocal movement would facilitate upper extremity movement and decrease the compensatory movement of trunk more than would symmetrical movement.

Kinematics of Bimanual Complementary Movement in Stroke Patients (뇌졸중 환자에서 양손 보완운동의 운동형상학)

  • Kim, Taehoon
    • The Journal of the Korea Contents Association
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    • v.15 no.4
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    • pp.342-349
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    • 2015
  • The objective of this study was to compare the unimanual and bimanual complementary movements of the affected upper extremity. Thirty participants living in Busan area with post-stroke hemiparesis were involved in this study. They were selected according to twelve criteria. We used the Fitmeter accelerometer to measure Signal Vector Magnitude, peak acceleration and peak deceleration. The movement time and Signal Vector Magnitude of bimanual complementary movement were less than those of unimanual movement(p<0.05). Therefore, we suggest that bimanual complementary movement is more useful, as for the kinematic aspect, than unimanual movement when a person with stroke perform activities of daily living.

Accelerometry of Unimanual and Bimanual Activities in Stroke Patients (뇌졸중 환자에서 한손 및 양손 활동 수행 시 가속도 분석)

  • Lee, Jeong-Eun;Kim, Do-Yeong;Kim, Tae-Hoon
    • Therapeutic Science for Rehabilitation
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    • v.10 no.1
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    • pp.129-140
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    • 2021
  • Objective : This study evaluated the differences between the upper and lower arm activities of the affected and non-affected sides in stroke patients performing activities of daily living. It was intended to gather basic data for the measurement of daily activities. Methods : The participants in the study consisted of 20 patients, 10 had left hemiplegia and 10 had right hemiplegia. Between September and November 2017, they performed drinking and dressing as unimanual and bimanual tasks. The 3-axes accelerometers were placed 2cm below the lateral epicondyle on the upper arm and 2cm below the radial styloid on the lower arm. The data were collected at intervals of 1/32 Hz and analyzed. Results : In patients with right hemiplegia, the tendon activity was significantly higher in the lower arm when performing a bimanual activity (p<.05), for all the other activities, those of the lower arm were significantly higher than those of the upper arm (p<.01, p<.05). There was no significant difference between the unimanual and bimanual activities of the affected and tendon sides in patients with left hemiplegia (p>.05). In both hands, the activity of the lower arm was significantly higher than that of the activities of the upper and lower arms, except on the affected side (p<.05). In all patients, the activities of the upper and lower arms were significantly higher (p<.05), and the activity of the lower arm was significantly higher than that of the upper (p<.001, p<.05). Conclusion : The activity was higher on the non-affected side than the affected side during the dressing task, and the overall activity was higher in the lower arm than the upper arm.

Imitation Learning of Bimanual Manipulation Skills Considering Both Position and Force Trajectory (힘과 위치를 동시에 고려한 양팔 물체 조작 솜씨의 모방학습)

  • Kwon, Woo Young;Ha, Daegeun;Suh, Il Hong
    • The Journal of Korea Robotics Society
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    • v.8 no.1
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    • pp.20-28
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    • 2013
  • Large workspace and strong grasping force are required when a robot manipulates big and/or heavy objects. In that situation, bimanual manipulation is more useful than unimanual manipulation. However, the control of both hands to manipulate an object requires a more complex model compared to unimanual manipulation. Learning by human demonstration is a useful technique for a robot to learn a model. In this paper, we propose an imitation learning method of bimanual object manipulation by human demonstrations. For robust imitation of bimanual object manipulation, movement trajectories of two hands are encoded as a movement trajectory of the object and a force trajectory to grasp the object. The movement trajectory of the object is modeled by using the framework of dynamic movement primitives, which represent demonstrated movements with a set of goal-directed dynamic equations. The force trajectory to grasp an object is also modeled as a dynamic equation with an adjustable force term. These equations have an adjustable force term, where locally weighted regression and multiple linear regression methods are employed, to imitate complex non-linear movements of human demonstrations. In order to show the effectiveness our proposed method, a movement skill of pick-and-place in simulation environment is shown.