J0230404 Forearm Muscle Activation during Finger Loadings at Forearm Pronation and Supination

2015 ◽  
Vol 2015 (0) ◽  
pp. _J0230404--_J0230404-
Author(s):  
Naoki TOYOTA ◽  
Saran Keeratihattayakom ◽  
Satoshi YAMADA ◽  
Yasuhiro NAKAJIMA ◽  
Masahide HARADA ◽  
...  
2021 ◽  
Vol 150 (4) ◽  
pp. A289-A289
Author(s):  
Zhiyu Sheng ◽  
Ernesto Bedoy ◽  
Douglas J. Weber ◽  
Brad E. Dicianno ◽  
Kang Kim

Proceedings ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 89
Author(s):  
Masahiro Ikenaga ◽  
Nobue Okuma ◽  
Hiroki Nishiyama ◽  
Shinichiro Chiba ◽  
Katsutoshi Nishino ◽  
...  

We aimed to clarify the effect of ball–racquet impact locations on the dynamic behavior of tennis racquet, the accuracy of shots and muscle activation of the forearm. Eight male intermediate tennis players performed ten forehand groundstrokes. A motion capture system was used to measure the motions of racquet, ball and human body at 2000 Hz, and electromyography (EMG) activities of wrist extensor and flexor muscles were measured simultaneously. The flight parameters of the ball were measured by ballistic measurement equipment. All shots were divided into tertiles based on ball impact location along the lateral axis of tennis racquet. We found that the off-center, upper-side impact induces a larger muscular activity in extensor carpi radialis. Passive radial deviation of the wrist occurring immediately after ball impact may account for this. Furthermore, the off-center, upper-side impact could be associated with a missed shot having a lower, outward ball launch angle.


1998 ◽  
Vol 23 (5) ◽  
pp. 938-944 ◽  
Author(s):  
M. Elise Johanson ◽  
Michelle A. James ◽  
Stephen R. Skinner

2018 ◽  
Vol 19 (6) ◽  
pp. 792-807
Author(s):  
Lin-Hwa Wang ◽  
Kuo-Cheng Lo ◽  
I-Ming Jou ◽  
Fong-Chin Su

2021 ◽  
Vol 2 (1) ◽  
pp. 7-8
Author(s):  
Charisma Byrd ◽  
MinHyuk Kwon

The rise of portable units calls attention to the impact of device design and it challenges to biomechanical capabilities of the thumb and increased musculoskeletal discomfort. The purpose of this critiqued article, therefore, is to understand the significance of thumb biomechanics on hand-held technology and upper extremity pain. Healthy sixteen right-handed participants (21-40 years) performed a multitude of swiping gestures with the thumb of their right hand on 8’’ and 10’’ tablets (Samsung Galaxy III). The swiping gestures differed in swipe direction (outward v. inward), swipe orientation (horizontal v. vertical), swipe location (4 swipe zones), and swipe length (short v. long). Data was acquired using a custom Android application, thumb/wrist posture and forearm muscle activity was quantified using three-dimensional motion analysis and surface electromyograph, respectively. Data was analyzed using repeated measures of ANOVA. Self-reported perceived wrist and hand discomfort was measured using a visual analogue scale after each trial. Swiping actions closest to the palm rendered less pain, decreased forearm muscle activity, neutral thumb biomechanics and wrist posture. The left zones had greatest metacarpal (16) and carpometacarpal abduction (10) and topmost wrist movement, ulnar deviation (18) and extension (14) (Table 1), compared to the right zones. Regarding tablet orientation, portrait mode of both devices amassed more muscle activity related to landscape mode. The limits of upper extremities and thumb biomechanics can be seen in specific swipe locations of hand-held technology. The p-values for wrist extension (p < 0.01) and ulnar deviation (p < 0.03) on tablet size and orientation quantitatively illustrate the poor wrist posture commonly adopted by users under these conditions. Swipe zone results proved users had best performance and lower discomfort rates when gestures were performed near the palm. Carpometacarpal abduction data found high joint angles during trials on the left side of the tablet and no movement (0) on the right side. This constant biomechanical exertion to swipe in out-of-reach areas may lead to musculoskeletal disorders or pain. The results suggest tablet hardware and user interface design to allow for neutral thumb and wrist posture while accounting for decreased muscle demands. The purpose of the study was to identify the effect of hand-held technology on thumb biomechanics, thumb/wrist posture, and forearm muscle activity. The findings demonstrated increased user performance and lower musculoskeletal pain while performing gestures closer to the palm. The authors’ ability to pinpoint the specific location where users experienced greatest extension, abduction, pain, and forearm muscle activation (top left zone) was one of the articles supreme strengths. Nonetheless, the study should be considered within context of its limitations. A limitation within the experiment was the criteria to be a participant. The study did not inquire about the amount of time users usually spent on their device in a normal week, this may give evidence to the biomechanical loads their thumb and upper extremities are accustomed to. A suggestion for research design is to improve participant criterion. Users thumb strength can be quantified with the pinch test or examined through manual muscle tests to indicate a correlation between thumb strength and participant perception of fatigue post-trial(s).


2020 ◽  
Author(s):  
Alexander McClanahan ◽  
Matthew Moench ◽  
Qiushi Fu

Abstract Background Establishing a natural communication interface between the user and the terminal device is one of the central challenges of hand neuroprosthetics research. Surface electromyography (EMG) is the most common source of neural signals for interpreting a user’s intent in these interfaces. However, how the capacity of EMG generation is affected by various clinical parameters remains largely unknown. Methods In this retrospective study using an open source database, we examined the EMG activity of forearm muscles recorded from 11 transradially amputated subjects and 40 able-bodied subjects who performed a wide range of movements. By using non-negative matrix factorization, we extracted the synergistic EMG patterns for each subject to estimate the dimensionality of muscle control, under the framework of motor synergies. Results We found that amputees exhibited less than four synergies (with substantial variability related to the length of remaining limb and age), whereas able-bodied subjects commonly demonstrate five or more synergies. Conclusions The results of this study provide novel insight into the muscle synergy framework and the design of natural myoelectric control interfaces.


2014 ◽  
Vol 26 (2) ◽  
pp. 195-197 ◽  
Author(s):  
Sang-Yeol Lee ◽  
Yi-Jeong Park ◽  
Hye-Min Park ◽  
Hae-Jin Bae ◽  
Min-Ji Yu ◽  
...  

2011 ◽  
Vol 27 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Isabelle Rogowski ◽  
David Rouffet ◽  
Frédéric Lambalot ◽  
Olivier Brosseau ◽  
Christophe Hautier

This study compared EMG activity of young tennis players’ muscles during forehand drives in two groups, GD—those able to raise by more than 150% the vertical velocity of racket-face at impact from flat to topspin forehand drives, and GND, those not able to increase their vertical velocity to the same extent. Upper limb joint angles, racket-face velocities, and average EMGrms values, were studied. At similar joint angles, a fall in horizontal velocity and a rise in racket-face vertical velocity from flat to topspin forehand drives were observed. Shoulder muscle activity rose from flat to topspin forehand drives in GND, but not for drives in GD. Forearm muscle activity reduced from flat to topspin forehand drives in GD, but muscle activation was similar in GND. The results show that radial deviation increased racket-face vertical velocity more at impact from the flat to topspin forehand drives than shoulder abduction.


2019 ◽  
Vol 45 ◽  
pp. 11-17
Author(s):  
Brynne Dykes ◽  
Julianna Johnson ◽  
Jun G. San Juan

Sign in / Sign up

Export Citation Format

Share Document