Several extrinsic factors affect precision grip task variability. Presence of moisture in glabrous skin can regulate the impact of extrinsic factors. Consequently, wetness may influence the precision grip task variability per se by regulating its force, rate and time parameters. This study aims to examine the influence of age, coefficient of skin friction (CF) and object weight (extrinsic factors) on precision grip task variability in dry skin condition (DSC) and very wet skin conditions (VWSC). Eighty healthy subjects performed precision grip task with four different weights (1.3N, 1.4N, 1.5N, and 1.7N) sequentially in DSC and VWSC. Simple and multiple linear regression analysis were performed to estimate the independent and combined effect of extrinsic factors on precision grip parameters. Our results show that the extent of variability caused by the extrinsic factors on precision grip task significantly reduced when objects were held with VWSC than DSC. Wetting of the skin also decreased standard deviation and coefficient of variation of friction. The frictional range of individuals was widespread in DSC (0.62-3.42) while VWSC brought it to a closer range (0.77-1.64). Our findings suggest that wetness of skin reduces precision grip task variability, and further knowledge on this may help in designing precision grip as a quantitative screening tool for patients with hand dysfunction.
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http://dx.doi.org/10.1016/j.neulet.2019.03.039 | DOI Listing |
Sci Rep
January 2025
Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany.
Finger amputations following complex hand injuries (CHI) pose a significant challenge in hand surgery due to severe tissue trauma and neurovascular damage, necessitating precise arterial repair. While restoring arterial perfusion is critical, it remains unclear whether reconstructing both proper palmar digital arteries is required for optimal outcomes. This study evaluates whether restoring one or both arteries in finger replantation after complex injuries impacts perfusion and overall outcomes.
View Article and Find Full Text PDFBiosensors (Basel)
December 2024
Department of Biomechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan.
An origami-based tactile sensory ring utilizing multilayered conductive paper substrates presents an innovative approach to wearable health applications. By harnessing paper's flexibility and employing origami folding, the sensors integrate structural stability and self-packaging without added encapsulation layers. Knot-shaped designs create loop-based systems that secure conductive paper strips and protect sensing layers.
View Article and Find Full Text PDFNat Commun
January 2025
Institute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei, 230026, China.
A human hand has 23-degree-of-freedom (DOF) dexterity for managing activities of daily living (ADLs). Current prosthetic hands, primarily driven by motors or pneumatic actuators, fall short in replicating human-level functions, primarily due to limited DOF. Here, we develop a lightweight prosthetic hand that possesses biomimetic 19-DOF dexterity by integrating 38 shape-memory alloy (SMA) actuators to precisely control five fingers and the wrist.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Department of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA; Institute for Sustainable Energy and Environment, Virginia Commonwealth University, Richmond, VA, 23284, USA. Electronic address:
Wearable devices designed for the somatosensory system aim to provide event-cue feedback electronics and therapeutic stimulation to the peripheral nervous system. This prompts a neurological response that is relayed back to the central nervous system. Unlike virtual reality tools, these devices precisely target peripheral mechanoreceptors by administering specific stimuli.
View Article and Find Full Text PDFMethodsX
June 2025
Regenerative Bioscience Center, Department of Animal and Dairy Science, College of Agricultural and Environmental Science, University of Georgia, Athens, GA 30602, United States.
Muscle strength is a crucial metric for assessing motor function, with significant diagnostic and prognostic value. It is widely used in clinical and preclinical studies as a phenotypic indicator. In mouse models of neuromuscular disorders, grip strength provides a direct, repeatable measure of motor function changes throughout disease progression.
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