• Title/Summary/Keyword: Wrist rest

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The Effect of Wearable Wrist Rest During Keyboard and Mouse Use (키보드와 마우스 사용시 착용식 손목 지지대 효과)

  • Park, Kyung-Soo;Park, Kang-Hyo;Hong, Gi-Beom
    • Journal of the Ergonomics Society of Korea
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    • v.27 no.3
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    • pp.33-41
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    • 2008
  • The goal of this study was to compare wrist posture, muscular loads and perceived comfort among wearable wrist rest (WR), general wrist rest(GR), no wrist rest(NR) during keyboard and mouse use. Thirteen subjects performed text editing task in three test conditions: wearable wrist rest(WR), general wrist rest(GR), no wrist rest(NR). During text editing task, the right wrist posture was recorded by an electrogoniometer and the muscle activity in upper trapezius, anterior deltoid, extensor digitorum, extensor carpi ulnaris were recorded by electromyography. After all of the tests, the subjects rated perceived comfort. Working with wearable wrist rest(WR), compared to no wrist rest(NR) and general wrist rest(GR), decreased wrist radial/ulnar deviation and also decreased muscle activity in upper trapezius and anterior deltoid. At the same time, in work with wearable wrist rest(WR), the subjects rated more comfort at 5 of 8 body locations(shoulder, upper arm, wrist, hand, body).

Effects of Diamond Taping Applied Around the Lateral Elbow on Common Extensor Tendon Thickness, Grip Strength and Wrist Extension Force in Healthy Subjects (팔꿉관절 가쪽 부위에 적용한 다이아몬드 테이핑이 정상인의 공동폄근 힘줄의 두께와 악력, 손목 폄력에 미치는 영향)

  • Park, So-hyun;Kim, Suhn-yeop
    • Physical Therapy Korea
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    • v.27 no.3
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    • pp.163-170
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    • 2020
  • Background: The characteristics of lateral epicondylitis (LE) are muscle strength weakness and increased common extensor tendon (CET) thickness. Ultrasonography has recently been used to evaluate tendinopathy. Diamond taping (DT) is commonly used to manage patients with LE. However, no previous studies have investigated the effects of DT on CET thickness. Objects: The aim of this study was to investigate the effects of DT applied around the lateral elbow on CET thickness, grip strength, and wrist extension force in healthy subjects. Methods: The subjects were 26 adults (13 male) in their twenties. First, the CET thickness was measured at rest. The CET thickness was measured by using ultrasonography at two points. The subjects were then instructed to perform maximal grip activities or maximal wrist extension activities before and after DT around the lateral elbow. The DT technique was applied using non-elastic tape. While the subjects performed maximal grip activities, the investigator measured the maximum grip strength (MGS) and CET thickness. Likewise, while the subjects performed maximal wrist extension activities, the investigator measured the maximum wrist extension force (MWEF) and CET thickness. Results: The MGS showed a statistically significant improvement after DT taping application in men (p < 0.05). The MWEF showed a statistically significant improvement after DT application in male (p < 0.01) and female (p < 0.05). When performing the activities, the CET thickness increased compared to that at rest. However, CET thickness didn't show a statistically significant improvement before and after DT. Conclusion: This study shows that DT applied around the lateral elbow is effective in improving MGS and MWEF. However, it does not affect CET thickness.

A Gaussian Mixture Model Based Surface Electromyogram Pattern Classification Algorithm for Estimation of Wrist Motions (손목 움직임 추정을 위한 Gaussian Mixture Model 기반 표면 근전도 패턴 분류 알고리즘)

  • Jeong, Eui-Chul;Yu, Song-Hyun;Lee, Sang-Min;Song, Young-Rok
    • Journal of Biomedical Engineering Research
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    • v.33 no.2
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    • pp.65-71
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    • 2012
  • In this paper, the Gaussian Mixture Model(GMM) which is very robust modeling for pattern classification is proposed to classify wrist motions using surface electromyograms(EMG). EMG is widely used to recognize wrist motions such as up, down, left, right, rest, and is obtained from two electrodes placed on the flexor carpi ulnaris and extensor carpi ulnaris of 15 subjects under no strain condition during wrist motions. Also, EMG-based feature is derived from extracted EMG signals in time domain for fast processing. The estimated features based in difference absolute mean value(DAMV) are used for motion classification through GMM. The performance of our approach is evaluated by recognition rates and it is found that the proposed GMM-based method yields better results than conventional schemes including k-Nearest Neighbor(k-NN), Quadratic Discriminant Analysis(QDA) and Linear Discriminant Analysis(LDA).

A Study on the Theory of JiaJi Years(甲己年) as a period of South Politics(南政) and the Rest Eight Years as a period of North Politics(北政) (갑기위남정(甲己爲南政) 여위북정설(餘爲北政說)에 관한 연구(硏究))

  • Yun, Chang-Yeol
    • Journal of Korean Medical classics
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    • v.29 no.1
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    • pp.65-76
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    • 2016
  • Objectives : Generally, pulsation is influenced by climate change in the realms of nature. However, there is a theory explaining a phenomenon in which the pulse gets weaker and even absent for no reason, without affected by diseases; this is the Theory of South and North Politics with which medical practitioners need to be familiar when taking the pulse of patients. Methods : The researcher considered all the previous annotations and the original text of SuWen (素問) ZhiZhenYaoDaLun(至眞要大論). Results : In Five Elements' Evolutions, JiaJi(甲己) becomes Tu(土), which turns itself into the king, an honorable duty. JiaJi is a period of South Politics because it looks south to give an order while the rest eight years is a period of North Politics because they are headed north to receive an order. Conclusions : Since South Politics years look south as a standard, Cun(寸) is located at the south and Chi(尺) is at the north. Controlling the Heaven energy(司天) is located at the south and Effecting the Earth energy(在泉) is at the north. Therefore, if Sanyin is Controlling the Heaven energy(三陰司天), the Cun pulse is absent; if Shaoyin is Controlling the Heaven energy(少陰司天), Cun pulses on both wrists are not felt; if Jueyin is Controlling the Heaven energy(厥陰司天), the Cun pulse on the right wrist disappears; if Taiyin is Controlling the Heaven energy(太陰司天), the Cun pulse on the left wrist is not felt. In the case of Chi, if Sanyin is Effecting the Earth energy(三陰在泉), the Chi pulse is absent; if Shaoyin is Effecting the Earth energy(少陰在泉), Chi pulses on both wrists are not felt; if Jueyin is Effecting the Earth energy(厥陰在泉), the Chi pulse on the right wrist disappears; if Taiyin is Effecting the Earth energy(太陰在泉), the Chi pulse on the left wrist is not felt. North Politics years appears conversely as compared with South Politics years.

A Study on the Musculoskeletal Disorders among the Visiting Housekeeper (가사노동자의 근골격계질환 자각증상과 관련요인)

  • Yoon, Songyi;Choi, Jae-Wook;Kim, Hae-Joon;Lee, Eun-il
    • Korean Journal of Occupational Health Nursing
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    • v.15 no.1
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    • pp.14-29
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    • 2006
  • Purpose: The purposes of this study were to survey the extent of pain and discomfort in the musculoskeletal system among visiting housekeepers, above all concerning neck, shoulder, back, wrist, knee, and arm pain and to find possible relations between symptoms and various working conditions. Method: A questionnaire was answered by 174 woman visiting housekeepers living in Kyeonggi-do and Seoul from December 1, 2003 to February 30, 2004. The symptoms of musculoskeletal system were coded by the pain index which illustrates the extent of the symptoms, and analyzed in view of NIOSH guideline and Kim, et. al.'s notion. Result: 1. As to the complaint rate of subjective musculoskeletal symptoms by body region, the figure was the highest for shoulder with 78.2%, followed by back with 66.7%, knee 53.6%, neck 56.3%, wrist 40.2%, and arm 29.2%, respectively. The logistic analysis showed shoulder pain and arm pain have no relation with working and health conditions, and back pain was significantly related to current health condition. In same way, knee pain and wrist pain were found to be mainly related to marital status. 2. Following the NIOSH guideline, the positive rate of subjective musculoskeletal symptoms was found out in following order: shoulder 69.5%, back 59.2%, knee 54%, neck 46%, wrist 32.8%, and arm 25.3%. To investigate the main cause of each disease, the symptoms were classified by pain index, where the value of more than 3 comes to the NIOSH case, and analyzed in term of complaint rate using discrete logistical method : shoulder pain was highly related to the housekeeping time after work, back pain was to current health condition and the heavy weight carrying and neck, wrist, arm pain were commonly related to the ordinary health condition. For knee pain, working speed was a main cause. 3. In view of Kim et. al.'s standard, where the pain index is over 7, the positive rate was showed in order slightly different from previous analyses : shoulder 33.3%. knee 29.9%, back 28.2%, neck 17.2%, wrist 17.2%, and 16.7%. From the logistical analysis, insufficient rest was shown as the main cause of shoulder, back, arm and wrist pain. For neck pain, ordinary health condition was mainly related. In case of knee pain, any apparent relation is not found. Conclusion: According to the logistic regression analysis of musculoskeletal system, there was strong suggestion that the less insufficient physical rest, the more significant disorder complaint. This means that the most musculoskeletal symptom among the visiting housekeepers can be prevented and cured by sufficient physical resting.

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Artificial Neural Network based Motion Classification Algorithm using Surface Electromyogram (표면 근전도를 이용한 Artificial Neural Network 기반의 동작 분류 알고리즘)

  • Jeong, E.C.;Kim, S.J.;Song, Y.R.;Lee, S.M.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.6 no.1
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    • pp.67-73
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    • 2012
  • In this paper, Artificial Neural Network(ANN) based motion classification algorithm is proposed to classify wrist motions using surface electromyograms(sEMG). surface EMGs are obtained from two electrodes placed on the flexor carpi ulnaris muscle and extensor carpi ulnaris muscle of 26 subjects under no strain condition during wrist motions and used to recognize wrist motions such as up, down, left, right, and rest. Feature is extracted from obtained EMG signals in time domain for fast processing and used to classify wrist motions using ANN. DAMV, DASDV, MAV, and RMS were used as features and accuracies of motion classification based on ANN were 98.03% for DAMV, 97.97% for DASDV, 96.95% for MAV, 96.82% for RMS.

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Effects of Combinational Posture of Shoulder, Elbow and Wrist on Grip Strength and Muscle Activity (어깨, 팔꿈치, 손목의 자세에 따른 최대악력과 근육활동에 관한 연구)

  • Kim, Tae Hyung;Jung, Seung Rae;Kang, Sung Sik;Chang, Seong Rok
    • Journal of the Korean Society of Safety
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    • v.31 no.4
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    • pp.111-119
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    • 2016
  • This study aimed to analyze postures that were frequently conducted in manufacturing industry. To find grip strength and muscle activities of each posture, Maximum Voluntary Contraction (MVC) and ElectroMyoGraphy (EMG) were measured. Based on the results of this study, the most appropriate posture could be suggested and used as a basic information for preventing musculoskeletal disorders. Most work-related musculoskeletal disorders have been occurred in the fields of manufacturing industry. According to previous studies, it was reported that the rate of musculoskeletal diseases of upper extremity was higher than that of other body parts. Accordingly, there were many studies about discomfort and grip strength of upper extremity. However, these studies dealt with single selection of wrist, elbow and shoulder. So, it was insufficient for comprehensive studies about upper extremity. And in order to improve the work posture, the physiological changes being generated by the combination of wrist, elbow and shoulder postures should be observed and analyzed. In order to conduct this study, thirty university students who had no records of MSDs involved were recruited. Independent variables were postures of wrist(pronation, neutral, supination), postures of elbow(flexion $45^{\circ}$, $90^{\circ}$) and postures of shoulder(flexion $0^{\circ}$, $90^{\circ}$). And dependent variables were MVC values and EMG values. Jamar dynamometer and TeleMyo 2400T G2 was used to measure MVC and EMG. MVC and EMG for 12 postures were measured for three second and for three times. Experiment was performed randomly. A 10 minutes rest period was provided after each t. To measure muscle load, the EMG signals of eight muscles (Biceps, Medial triceps, Lateral triceps, Brachioradialis, Extensor carpi ulnaris, Extensor carpi radialis, Flexor carpi ulnaris and Flexor carpi radialis) were evaluated. MVC values and EMG values were analyzed using Minitab ver. 14. The results showed that MVC value was the highest at shoulder $0^{\circ}$, elbow $45^{\circ}$ and wrist supination. In case of wrist postures, MVC of supination is the highest. In case of elbow and shoulder postures, MVC of flexion $45^{\circ}$ and $0^{\circ}$ was the highest. It was found that there were interaction between wrist and elbow posture under shoulder flexion and between shoulder and wrist under elbow flexion $45^{\circ}$. In case of the angle of shoulder $0^{\circ}$, elbow $45^{\circ}$ and wrist supination, the EMG values of four muscles(Medial Triceps, Extensor carpi ulnaris, Extensor carpi radialis, Flexor carpi ulnaris) were the highest. Based on this study, it is worth to note that the combination postures of upper extremity have a large impact on the MVC and EMG. The optimal condition upper extremity was shoulder flexion $0^{\circ}$, elbow flexion $45^{\circ}$ and wrist supination for preventing work-related musculoskeletal disease.

Performance and Posture Evaluation of Ergonomic Keyboard (인간공학적 키보드의 수행도 및 자세 평가에 관한 연구)

  • Choi, J.H.;Yang, S.H.;Park, P.
    • Journal of the Korean Society of Safety
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    • v.14 no.4
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    • pp.168-175
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    • 1999
  • The objective of this research is to review the ergonomic keyboard developed to prevent musculo-skeletal disorders from being occurred during keyboard work. It was studied by comparing it with the traditional keyboard after analyzing and comparing the typing performance and work advantages both the two keyboards. Twelve male subjects with no history of musculo-skeletal disorders participated in the experiment. The quantitative data such as typing speed, accuracy, performance time, and the number of typing errors were obtained from the HTT software that was adjusted for this experiment. RULA worksheet and the degrees of extension and ulnar deviation on right and left wrist were used to analyze the upper body postures. The experiment results showed that the typing performance of the ergonomic keyboard decreased a little, but no significant difference statistically, compared with that of the traditional keyboard. On the work posture, the ulnar deviation during typing decreased in case of the ergonomic keyboard. But, the wrist extension was increased unexpectedly. Therefore, it can be regarded as these results occur due to the shape of wrist rest and the overall height of keyboard on a table. As a result, the reconsideration and redesign on the ergonomic keyboard are requested.

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Improvements of Multi-features Extraction for EMG for Estimating Wrist Movements (근전도 신호기반 손목 움직임의 추정을 위한 다중 특징점 추출 기법 알고리즘)

  • Kim, Seo-Jun;Jeong, Eui-Chul;Lee, Sang-Min;Song, Young-Rok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.5
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    • pp.757-762
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    • 2012
  • In this paper, the multi feature extraction algorithm for estimation of wrist movements based on Electromyogram(EMG) is proposed. For the extraction of precise features from the EMG signals, the difference absolute mean value(DAMV), the mean absolute value(MAV), the root mean square(RMS) and the difference absolute standard deviation value(DASDV) to consider amplitude characteristic of EMG signals are used. We figure out a more accurate feature-set by combination of two features out of these, because of multi feature extraction algorithm is more precise than single feature method. Also, for the motion classification based on EMG, the linear discriminant analysis(LDA), the quadratic discriminant analysis(QDA) and k-nearest neighbor(k-NN) are used. We implemented a test targeting twenty adult male to identify the accuracy of EMG pattern classification of wrist movements such as up, down, right, left and rest. As a result of our study, the LDA, QDA and k-NN classification method using feature-set with MAV and DASDV showed respectively 87.59%, 89.06%, 91.75% accuracy.

The Effect of $Sa-Am$ Lung Sedating Acupuncture on Wrist Pulse in Healthy Human Subjects (폐승격(肺勝格) 자침이 촌관척(寸關尺) 맥파변화에 미치는 영향)

  • Kim, Seok-Joo;Lee, Hyun
    • Journal of Acupuncture Research
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    • v.29 no.2
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    • pp.43-57
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    • 2012
  • Objectives : The purpose of this study is to observe the effects of $Sa-Am$ lung sedating acupuncture (LS) on wrist pulse changes in healthy participants. Method : Forty healthy subjects participated in this study, and were divided into an acupuncture group and controlled group. Using a three-dimensional pulse imaging system (DMP-3000), wrist pulse was measured before, immediately after, 30 minutes after and 60 minutes after acupuncture in the acupuncture group, with the rest in controlled group. Sixteen parameters between the acupuncture group and the controlled group were analyzed at Cun, Guan and Chi in each time. Result : After LS acupuncture, wrist pulse sixteen parameters were changed significantly according to the time at each measuring region. 1. Heart rate significantly decreased in immediately after, 30 minutes after and 60 minutes after, Pulse period significantly increased in 30 minutes after and 60 minutes after. 2. T4 didn't significantly changed, T-T4 significantly increased in immediately after, 30 minutes after and 60 minutes after. T4/T, T4/(T-T4), T1/T, T5/T significantly decreased in immediately after, 30 minutes after and 60 minutes after. (T-T4)/T significantly decreased in immediately after, 30 minutes after and 60 minutes after. T5 significantly increased in 30 minutes after and 60 minutes after. 3. Modulus of elasticity significantly decreased in left Cun 60 minutes after, significantly increased in left Chi 30 minutes after. 4. Variance of Amplitude significantly increased in right Guan 60 minutes after. 5. Area of pulse significantly increased in left Cun 60 minutes after, left Chi 30 minutes after and right Cun 60 minutes after. Systolic pulse area significantly decreased left Chi 30 minutes after, right Cun immediately after, 30 minutes after and 60 minutes after, right Guan in immediately after. 6. Energy/min significantly decreased in left Chi 60 minutes after and right Cun immediately after. EIx significantly decreased in right Cun immediately after. 7. In both sides Cun, Guan, Chi wrist pulse, a lot of significant changes in right Cun and left Chi appeared, and then followed by the left Cun, right Guan. Conclusion : This study analyzed that the correlation between LS acupuncture and radial pulse(cun, guan, chi) is considered to be meaningful, hereafter clinical studies on this are needed.