• Journal of Acupuncture Research
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• v.33 no.4
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• pp.93-100
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• 2016

Objectives : To find an acupuncture point where more exact Surface Electromyography(SEMG) measurement can be drown, through the study of measurement of orbicularis oris. Methods : Of healthy people from 19 to 40 years of age, who did not fall under exclusion criteria (22 males and 22 females), were selected as subjects, after relaxation for 10 minutes, and they were told how to pronounce 'O' and 'U' with their lips puckered. The SEMG figures were measured with attaching disposable electrode on acupuncture point of right-and-left Hwaryo(LI19) and 1 cun away from Seungjang(CV24) on both sides when the subjects pronounced 'O' and 'U'. Results : The average value was highest on left 1 cun away from Seungjang(CV24) in pronouncing 'O' and 'U', and the average SEMG value was higher in the order of right 1 cun away from Seungjang(CV24), right Hwaryo(LI19), left Hwaryo(LI19). Average of the lower orbicularis oris is statistically higher than that of the upper orbicularis oris, which has significant meaning. However, there was no significant difference when compared by pronunciation. Average of percentage mark of differences of right-and-left measured value of each pronunciation and each acupuncture point : Pronounced 'O' and the upper part of orbicularis oris: $16.76{\pm}11.29%$, pronounced 'O' and the lower part of orbicularis oris: $22.41{\pm}12.92%$, pronounced 'U' and the upper part of orbicularis oris: $17.10{\pm}9.89%$, pronounced 'U' and the lower part of orbicularis oris : $19.20{\pm}10.82%$. Conclusion : The difference of pronunciation will not affect the results in SEMG measurement. In addition, the average of the lower orbicularis oris is statistically and significantly higher than that of the upper orbicularis oris.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.19-23
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• 2024

Patients with amputations of both hands need prosthetic hands that serve both cosmetic and functional purposes, and research on prosthetic hands using electromyography of remaining muscles is active, but there is still the problem of high cost. In this study, an artificial prosthetic hand was manufactured and its performance was evaluated using low-cost parts and software such as a surface electromyography sensor, machine learning software Edge Impulse, Arduino Nano 33 BLE, and 3D printing. Using signals acquired with surface electromyography sensors and subjected to digital signal processing through Edge Impulse, the flexing movement signals of each finger were transmitted to the fingers of the prosthetic hand model through training to determine the type of finger movement using machine learning. When the digital signal processing conditions were set to a notch filter of 60 Hz, a bandpass filter of 10-300 Hz, and a sampling frequency of 1,000 Hz, the accuracy of machine learning was the highest at 82.1%. The possibility of being confused between each finger flexion movement was highest for the ring finger, with a 44.7% chance of being confused with the movement of the index finger. More research is needed to successfully develop a low-cost prosthetic hand.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.195-196
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.1139-1140
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• 2012

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.973-974
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• 2013

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.237-238
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• 2008

• Proceedings of the KSLP Conference
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• 1994.06a
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• pp.138-142
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• 1994

Types of muscle fiber (Table omitted) Thyroarytenoid ; higher proportion of TypeII fiber. Post.cricoarytenoid. Higher proportion of Type fiber ; 52-67%. Type II fiber ; IIA dominant. Rapid contraction ＆fatigue ressitant ; appropriate for endurant action of respiration. Muscle fiber type grouping(Teig E et al, 1978). (omitted)

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.961-962
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• 2011

• The Journal of Korean Physical Therapy
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• v.26 no.3
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• pp.156-162
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• 2014

Purpose: The purpose of this study was to investigate muscle activation related to postural stability depending on different head positions with whole body vibration (WBV) in standing. Methods: Eighteen healthy subjects voluntarily participated in this single-group, repeated-measures study in which the surface electromyography (EMG) data from upper trapezius, rectus abdominis, external oblique abdominis, erector spinae, gluteus maximus, rectus femoris, semitendinosus, medial gastrocnemius were collected over 3 different frequencies (0-10-20Hz) and 4 different head positions (neutral, flexion, extension, chin tuck) for each subject on WBV while standing. Results: The results of this study demonstrated that the EMG activity of all recorded muscles shows significant difference between three different frequencies and four head positions of WBV while standing (p<0.05). In the multiple comparison, significant differences could be observed for most of different frequency conditions except 0-10Hz of RA, 10-20Hz of ST. In contrast, no significant difference showed the comparison of the EMG activity depending on different head positions (p<0.05). Conclusion: These findings suggest that different head positions on WBV do not activate muscles related to postural stability. However, higher frequency on WBV is highly effective to activate whole body muscles included postural muscles regardless of different head positions.

• Physical Therapy Korea
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• v.16 no.4
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• pp.16-22
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• 2009

The purpose of this study was to investigate the trunk and lower extremity muscle activity induced by three different intensity conditions (intensity 1, 3, 5) of whole body vibration (WBV) during bridging exercise. Surface electromyography (EMG) was used to measure trunk and lower extremity muscles activity. Eleven healthy young subjects (6 males, 5 females) were recruited from university students. The collected EMG data were normalized using reference contraction (no vibration during bridging) and expressed as a percentage of reference voluntary contraction. To analyze the differences in EMG data, the repeated one-way analysis of variance was used. A Bonferroni's correction was used for multiple comparisons. The study showed that EMG activity of the rectus abdominis, external oblique, internal oblique, erector spinae and rectus femoris muscles was not significantly different among three intensity conditions of WBV during bridging exercise (p>.05). However, there were significantly increased EMG activity of the medial hamstring muscle (p=.001) and medial gastrocnemius muscle (p=.027) in the intensity 3 condition compared with the intensity 1 condition. This result can be interpreted that vibration was absorbed through the distal muscles, plantar flexor and knee flexor.