• 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.

• Korean Journal of Acupuncture
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• v.35 no.4
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• pp.234-238
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• 2018

Objectives : This report details on a single case of Korean Medical treatments for the angular deformity of wrist fracture with disuse osteopenia. Methods : A 74-year-old lady with angular deformity of wrist fracture with disuse osteopenia was treated by Korean Medical therapies including manual acupuncture with electroacupuncture, pharmacopuncture, and chuna, twice daily for 41 days. Visual analogue scale for pain and range of motion were evaluated. Results : 1. Wrist pain decreased by Korean medical treatments over 41 days. 2. As a result of evaluation by visual analogue scale, the score marked from 6 to 3. 3. ROM of wrist joint increased from $0^{\circ}$ to $10^{\circ}$. Conclusions : Korean medical treatments helped symptom improvement in a patient with angular deformity of wrist fracture with disuse osteopenia.

• Archives of Plastic Surgery
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• v.49 no.6
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• pp.750-754
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• 2022

Trigger wrist, characterized by a clicking or snapping sensation around the wrist joint during finger or wrist motion, and bifid or trifid median nerve, which occurs in carpal tunnel syndrome along with anatomical variation of median nerve, are rare conditions. We report the case of a patient with a thickened tendon caused by severe tenosynovitis and flexor tendon subluxation to the hamate hook due to bowing of the flexor retinaculum, thereby resulting in trigger wrist as well as an anatomical median nerve variation (bifid median nerve in the right wrist and trifid median nerve in the left wrist). A 59-year-old housewife visited our hospital with bilateral fingertip numbness, tingling sensation, and aggravated severe night cramping that began 2 months ago. She also complained about trigger wrist during small finger flexion. Based on magnetic resonance imaging, ultrasonography, and nerve conduction study, trifid median nerve and bilateral severe median nerve neuropathy of the wrist were diagnosed; therefore, transverse carpal tunnel release and exploration under wide-awake anesthesia were planned. Intraoperative findings showed trifid and bifid median nerves in left and right wrists, respectively. Additionally, bowing of flexor retinaculum and severe flexor tendon tenosynovitis were observed. Tenosynovitis with thickened flexor sheath resulted in subluxation of the small finger flexor tendon above the hamate hook. After transverse carpal ligament release with antebrachial fascia release and tenosynovectomy, subluxation of the flexor tendon was resolved. At 6 months postoperatively, the tingling and dullness in fingertips also resolved, and no trigger wrist or any other complications were noted.

• 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).

• Journal of Korean Clinical Nursing Research
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• v.17 no.1
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• pp.90-100
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• 2011

Purpose: This paper was to develop an elbow restraint which can reduce the side effects of the wrist restraint which was frequently used in an intensive care unit and to evaluate its application. Methods: A nonequivalent control group non-synchronized design was used. Subjects were 38 patients (elbow restraint group: 18, wrist restraint group: 20) and 20 nurses who used both restraints in medical intensive care unit at G National University Hospital. Restraints were applied to subjects for 72 hours. Data were collected from December 1, 2009 through March 31, 2010. The data collected were analyzed using $x^2-test$, Fisher's exact test, t-test, and ANCOVA using SPSS 12.0 program. Results: Elbow restraint significantly decreased range of wrist motion reduction, swelling and significantly increased the convenience of wearing restraint compared to wrist restraint. Conclusion: The new elbow restraint are more efficient than the old wrist restraint, which have been used in an intensive care unit, in terms of convenience of restraint application, range of joint motion and prevention of swelling.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1303-1306
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• 2004

We developed a symmetrical upper limb motion trainer for chronic hemiparetic subjects. This trainer enabled the practice of a forearm pronatio $n^ination and wrist flexion/extension. In this study, we have used functional magnetic resonance imaging(fMRI) with the developed symmetrical upper limb motion device, to compare brain activation patterns elicited by flexion/extension wrist movements of control and hemiparetic subject group. In control group, contralateral somatosensory cortex(SMC) and bilateral cerebellum were activated by dominant hand movement(Task 1), while bilateral movements by dominant hand(Task 2) activated the SMC in both cerebral hemispheres and ipsilateral cerebellum. However, in hemiparetic subject group, contralateral supplymentary motor area(SMA) was activated by unaffected hand movement(Task 1), while the activation of bilateral movements by unaffected hand(Task 2) showed only SMA in the undamaged hemisphere. This study, demonstrating the ability to accurately measure activation in both sensory and motor cortex, is currently being extended to patients in clinical applications such as the recovery of motor function after stroke.ke.

• Korean Journal of Applied Biomechanics
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• v.17 no.1
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• pp.29-39
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• 2007

This study were obtained elapsed time phase-by-phases, displacement, user angle, velocity and angular velocity to analyse kinematically contributing factors at impact of forehand drive motion, on targeting three male players. The results of the study were presented as follows; In the forehand drive swing, the elapsed time by phases was a total of .52 seconds: .30 seconds from backswing to impact and .22 seconds from impact to follow-through, Considering the mean change in locations of COM of each(part$\rightarrow$body segment) at impact, racket head, left shoulder, right wrist and left hip, the left-right directions(X-axis) were showm to be each $.61{\pm}.03$, $1.19{\pm}.08$, $.66{\pm}.03$, $.94{\pm}.06$, and $.45{\pm}.03m$. The displacement differences of COM of each body segment were shown to be -.57, -.05, -.33, and .16m. For the vertical direction(Z-axis), the center of mass was lowest at impact and highest at E3. For the displacement of the right wrist on the left hip, the right wrist moved to .82m to the lower direction without change in the locations of the hip from E1 from E2. When the left hip moved .02m from E2 to E3, the right wrist moved .7m in the upper direction. In respect to the velocity of each body segment, the hip and the shoulder joint accelerated and then the wrist followed. Then the right wrists of all the subjects and their racket heads showed maximum speed, and an effective swing was observed. At the angle of each part, the angle of the right wrist was the smallest at the backswing and the largest at the moment of the impact. Then it increased gradually in the follow-through section. In respect of angular velocity for subject A, the hip moved and the largest change occurred. Immediately before the impact, the subject made a swing using his right wrist, his hip, and the shoulder joint, showing the maximum value, which was judged to be effective.

• Journal of the Korean Society of Physical Medicine
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• v.15 no.3
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• pp.79-87
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• 2020

PURPOSE: Physical therapists are always exposed to work-related musculoskeletal disorders. Although kinesio taping can support the joints and assist movement, studies of the effects of kinesio taping on these physical therapists are lacking. This study examined the effects of Kinesio-taping on pain, grip strength, range of motion and daily living skills in physical therapists with work-related musculoskeletal disorders. Pain was measured using a 100 mm VAS. The grip strength was measured using a handgrip dynamometer. The range of joint motion was measured using a goniometer. Living skills were measured by patient-rated wrist evaluation. METHODS: Twenty physical therapists with wrist pain (Kinesio taping: n = 10, Sham taping: n = 10) received taping for each group, and measured the pain, grip strength, range of motion and daily living skills before (Baseline) and after taping (Nine hours). RESULTS: All data were analyzed using Repeated Measure ANOVA (p < .05). In the Kinesio group, resting pain (-14.9), movement pain (-20.5), and daily living skills (-9.55) were improved significantly compared to the baseline (p < .05). The grip strength and range of motion were not changed (p > .05). The sham group showed no significant change in all variables (p > .05). CONCLUSION: Physical therapists with work-related musculoskeletal disorders of the wrist should apply kinesiotaping to improve the occupational tasks.

• Therapeutic Science for Rehabilitation
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• v.12 no.1
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• pp.79-92
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• 2023

Objective : This study aimed to assess the reliability of a three-dimensional (3D) motion analysis program for measuring the range of motion (ROM) of wrist and finger joints. Methods : The study recruited 50 people who had no restrictions on wrist and finger movements, understood the purpose of this study, and agreed to participate. Using a goniometer and a 3D motion analysis program, a total of 11 wrist and finger ROM were measured once each. To measure the reliability of the 3D motion analysis program, the degree of agreement and inconsistency of the measured values were compared. Results : Analysis of the degree of agreement of the measured values revealed that 38 out of 44 items showed a very high degree of agreement. Regarding analysis of inconsistency in the measured values, inconsistencies were found in three items. Conclusion : The results of this study confirmed that the ROM of the joint could be measured using the 3D motion analysis program applied in this study. In addition, it might be expected that the 3D motion analysis program would be used in various clinical fields owing to the advantages of measurement convenience and accuracy.

• Korean Journal of Applied Biomechanics
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• v.31 no.1
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• pp.50-58
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• 2021

Objective: This study aimed to determine the effect of wrist and trunk weight loading using sandbags in stroke patients in order to provide the quantitative data for enhancement of gait movement. Method: Twelve stroke patients, who have been diagnosed with hemiplegia over a year ago, were participated in this study. All subjects were asked to perform normal walking [N], wrist sandbag walking [W], wrist & trunk sandbag walking [WT], and both wrist sandbag walking [B] and both wrist & trunk sandbag walking [BT], respectively. Eight infrared cameras were used to collect the raw data. Gait parameters, arm swing, shoulder-pelvic kinematics, and lower extremity joint angle were calculated to examine the differences during walking. Results: As a result, there were no significant differences in the gait parameters, shoulder-pelvis, and lower extremities joint angles, but significant differences were found in the range of motion and the anteversion in arm swing. Conclusion: Wrist and trunk weight loading using sandbags affected the movement of the upper extremities only while it did not affect the movement of the lower extremities. It implies that it can reduce the risk of falling caused by a sudden movement change in lower extremities. In addition, the wrist and trunk weight loading using sandbags can induce changes in movement of the upper extremities independently and contribute to functional rehabilitation through resistance training.