It is known that the vibration characteristics of the fingers and hand and the level of grip action interacts when operating a power tool. In the current study, we developed a hybrid finger model to simulate the vibrations of the hand-finger system when gripping a vibrating handle covered with soft materials. The hybrid finger model combines the characteristics of conventional finite element (FE) models, multi-body musculoskeletal models, and lumped mass models. The distal, middle, and proximal finger segments were constructed using FE models, the finger segments were connected via three flexible joint linkages (i.e., distal interphalangeal joint (DIP), proximal interphalangeal joint (PIP), and metacarpophalangeal (MCP) joint), and the MCP joint was connected to the ground and handle via lumped parameter elements. The effects of the active muscle forces were accounted for via the joint moments. The bone, nail, and hard connective tissues were assumed to be linearly elastic whereas the soft tissues, which include the skin and subcutaneous tissues, were considered as hyperelastic and viscoelastic. The general trends of the model predictions agree well with the previous experimental measurements in that the resonant frequency increased from proximal to the middle and to the distal finger segments for the same grip force, that the resonant frequency tends to increase with increasing grip force for the same finger segment, especially for the distal segment, and that the magnitude of vibration transmissibility tends to increase with increasing grip force, especially for the proximal segment. The advantage of the proposed model over the traditional vibration models is that it can predict the local vibration behavior of the finger to a tissue level, while taking into account the effects of the active musculoskeletal force, the effects of the contact conditions on vibrations, the global vibration characteristics.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.medengphy.2017.04.008 | DOI Listing |
Rock climbing is a growing sport at both professional and recreational levels. Rock climbing requires specific hand positions with high force outputs to adapt to changing terrain requirements. The purpose of this study was to explore associations between years of climbing experience, the frequency of training, and skill level on force production in 2 different climbing-specific hand positions.
View Article and Find Full Text PDFShock
December 2024
Department of Surgery, University of Texas Medical Branch, Galveston, TX, USA.
Background: Loss of muscle mass and strength in patients who have experienced severe burns is dramatic and associated with subsequent functional impairment. Past work has shown that exercise and oxandrolone, an anabolic steroid, individually improve muscle function and muscle mass in severely burned patients. This study aims to evaluate the effect of oxandrolone treatment combined with resistance exercise on muscle atrophy and investigate the protein synthesis and mitochondrial biogenesis pathways in a hindlimb suspension model.
View Article and Find Full Text PDFAm J Sports Med
January 2025
Department of Orthopaedics, Lanzhou University Second Hospital, Lanzhou, Gansu, P.R. China.
Background: For patients with osteoporosis and rotator cuff tears, there is still no consensus on current treatment methods. The material, structure, and number of anchors have important effects on the repair outcome.
Purpose: To investigate the use of chitosan quaternary ammonium salt-coated nickel-titanium memory alloy (NTMA) anchors to treat rotator cuff injury in shoulders with osteoporosis in a rabbit osteoporosis model.
J Shoulder Elbow Surg
December 2024
School of Health Sciences and Social Work, Griffith University, Australia.
Front Public Health
January 2025
Reproductive Medicine Center, Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Introduction: Frailty is an emerging global health burden, and there is no consensus on the precise prediction of frailty. We aimed to explore the association between grip strength and frailty and interpret the optimal machine learning (ML) model using the SHapley Additive exPlanation (SHAP) to predict the risk of frailty.
Methods: Data for the study were extracted from the China Health and Retirement Longitudinal Study (CHARLS) database.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!