• Journal of Biomedical Engineering Research
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• v.40 no.6
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• pp.242-249
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• 2019

Forearm electromyography (EMG) generated by wrist movements has been widely used to develop an electrical prosthetic hand, but EMG generated by finger movements has been rarely used even though 20% of amputees lose fingers. The goal of this study is to improve the classification performance of different finger movements using a deep learning algorithm, and thereby contributing to the development of a high-performance finger-based prosthetic hand. Ten participants took part in this study, and they performed seven different finger movements forty times each (thumb, index, middle, ring, little, fist and rest) during which EMG was measured from the back of the right hand using four bipolar electrodes. We extracted mean absolute value (MAV), root mean square (RMS), and mean (MEAN) from the measured EMGs for each trial as features, and a 5x5-fold cross-validation was performed to estimate the classification performance of seven different finger movements. A long short-term memory (LSTM) model was used as a classifier, and linear discriminant analysis (LDA) that is a widely used classifier in previous studies was also used for comparison. The best performance of the LSTM model (sensitivity: 91.46 ± 6.72%; specificity: 91.27 ± 4.18%; accuracy: 91.26 ± 4.09%) significantly outperformed that of LDA (sensitivity: 84.55 ± 9.61%; specificity: 84.02 ± 6.00%; accuracy: 84.00 ± 5.87%). Our result demonstrates the feasibility of a deep learning algorithm (LSTM) to improve the performance of classifying different finger movements using EMG.

• Journal of Yeungnam Medical Science
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• v.14 no.1
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• pp.183-196
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• 1997

An experimental study was performed to investigate. The subjects drank (0.5g/kg ethanol and performed 7 items of SPES(simple reaction time, color word stress, digit classification, finger tapping speed, numerical ability, symbol digit coding, memory digit span). 20 students of medical college participated in the study during August, 1996. After ethanol intake, performance of 4 items(simple reaction time, digit classification, finger tapping speed, symbol digit coding) significantly showed to be decreased. The function of perception-response speed and steady movement were found to be more sensitive to ethanol than that of short-term memory, numerical ability and specification of color. No significant association were found between smoking, alcohol drinking, BMI(body mass index) and the effects of ethanol on neurobehavioral performance.

• The Journal of Internal Korean Medicine
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• v.21 no.1
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• pp.169-180
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• 2000

Objectives : To satisfy the demand of good treatment of constipation Methods : we investigated the literatures of Oriental Medicine about Constipation. Results: 1. There are three categories of etimological factors of constipation, that is, endogenous, exogenous and non-exo-endogenous factor. The endogenous factor is caused by seven emotions, called depression of Ki and stagnation of Ki. The exogenous factor is six excessive atmospheric influences, for example, wind, cold, dampness, heat and dryness. And the non-exo-endogenous factors are overfatigue, improper diet, stagnated blood and deficiency of Ki and blood that comes from old age, long disease and after delivery. 2. Classification: According to cause of disease it is classified by constipation due to cold, heat, wind, dryness, retention of undigested and phlegm. According to Internal Organs there are constipation due to deficiency syndrome of the stomach, excess syndrome of the stomach, deficiency syndrome of kidney and splenic constipation. And Differentiation of syndromes according to Ki and blood, there are constipation of deficiency type and excess type. There are constipation due to stagnation and deficiency of Ki, deficiency of blood and stagnated blood. 3. Principles and Methods of treatment 1) Herbal Medicine (1) Excess type [1] Constipation due to heat : Seunggitang(承氣湯) and Majainwhan(麻子仁丸) [2] Constipation due to stagnation of Ki : Samatang(四磨湯) and Yukmatang(六磨湯) (2) Deficiency type [1] Constipation due to deficiency of Ki : Whanggitang(黃?湯) [2] Constipation due to deficiency of blood: Yunjangwhan(潤腸丸) [3] Constipation due to cold : Jechunjun(濟川煎) and Banyuwhan(半硫丸) 2) Enema therapy: It is a method to induce defecation by honey or pig's bile juice for weak people. 3) Acupuncture and Moxibustion: Acupoints used to treat constipation are BL25, ST25 and TE6. Moxibustion at CV8, CV6 is good for constipation due to cold. (4) Diet therapy: It is very important that we eat meals regularly and defecate on the same time even if you don't. And we have to eat food like fruits, vegetables and beans. (5) finger pressure: Finger pressing around these points like ST25, SP25, BL25, BL31, BL32, BL33 and BL34 is good for it. (6) Kigong therapy: Abdominal breathing (7) Old man' s constipation: Hip bath or diet therapy is commended. Laxation with lubricant like Supungyunjangwhan(搜風潤腸丸) is used. (8) Women' s constipation: After delivery, we have to administer tonifying prescription Sipjundaebotang(十全大補湯) and enema can be used. Conclusion : We have to examine the cause of disease and bowl movement carefully. After comprehensive analysis of the data gained by the four methods of diagnosis, we diagnose and treat patients on the base of overall of symptoms and signs.