Joint Position Research Articles

Fire performance enhancement of cold-formed steel walls: experimental and numerical study

Cavity-insulated cold-formed steel (CFS) walls, with gypsum plasterboard (GP) on both sides, are widely used in the construction industry. However, their fire performance is compromised by the faster rise in the temperature of the hot flange (HF), which is influenced by cavity insulation and board joints. This study aims to optimize cavity insulation configuration to enhance fire performance. Two mid-scale, non-load-bearing fire experiments on CFS walls were conducted, employing double-layered GP boards and rock wool insulation, under ISO834 time-temperature fire conditions. Meanwhile, a finite element model of physical space fluid-heat coupling of furnace-CFS walls considering joints with time was developed to reveal joint mechanisms and configurations. The results showed that non-insulated stud CFS walls had slower HF temperature rise and similar insulation compared to insulated counterparts, delaying HF temperature reach to 537 °C by 14 min. The base-layer joints had the least adverse impact on the HF temperature rise than overlapped joints and face-layer joints. The HF temperatures for various joint configurations reached 537 °C at different times: 57 min for the face layer, 62 min for the base layer, and 49 min for overlapped joints. Considering the construction cost-effectiveness, it was found that adding steel strips (the same width as the flange) at the joint position could significantly decelerate the HF temperature rise. In 60 min, the HF temperature in the model with additional steel strips dropped by 94 °C lower than in the 10 mm overlapped joint model. Finally, based on finite element results, design equations were proposed for predicting HF temperature variation over time across joint types.

A unified formulation of geometry-aware discrete dynamic movement primitives

Learning from demonstration (LfD) is considered as an efficient way to transfer skills from humans to robots. Traditionally, LfD has been used to transfer Cartesian and joint positions and forces from human demonstrations. The traditional approach works well for some robotic tasks, but for many tasks of interest, it is necessary to learn skills such as orientation, impedance, and/or manipulability that have specific geometric characteristics. An effective encoding of such skills can be only achieved if the underlying geometric structure of the skill manifold is considered and the constrains arising from this structure are fulfilled during both learning and execution. However, typical learned skill models such as dynamic movement primitives (DMPs) are limited to Euclidean data and fail in correctly embedding quantities with geometric constraints. In this paper, we propose a novel and mathematically principled framework that uses concepts from Riemannian geometry to allow DMPs to properly embed geometric constrains. The resulting DMP formulation can deal with data sampled from any Riemannian manifold including, but not limited to, unit quaternions and symmetric and positive definite matrices. The proposed approach has been extensively evaluated both on simulated data and real robot experiments. The performed evaluation demonstrates that beneficial properties of DMPs, such as convergence to a given goal and the possibility to change the goal during operation, apply also to the proposed formulation.

Confidence sharing adaptation for out-of-domain human pose and shape estimation

3D human pose and shape estimation is often impacted by distribution bias in real-world scenarios due to factors such as bone length, camera parameters, background, and occlusion. To address this issue, we propose the Confidence Sharing Adaptation (CSA) algorithm, which corrects model bias using unlabeled images from the test domain before testing. However, the lack of annotation constraints in the adaptive training process poses a significant challenge, making it susceptible to model collapse. CSA utilizes a decoupled dual-branch learning framework to provide pseudo-labels and remove noise samples based on the confidence scores of the inference results. By sharing the most confident prior knowledge between the dual-branch networks, CSA effectively mitigates distribution bias. CSA is also remarkably adaptable to severely occluded scenes, thanks to two auxiliary techniques: a self-attentive parametric regressor that ensures robustness to occlusion of local body parts and a rendered surface texture loss that regulates the relationship between occlusion of human joint positions. Evaluation results show that CSA successfully adapts to scenarios beyond the training domain and achieves state-of-the-art performance on both occlusion-specific and general benchmarks. Code and pre-trained models are available for research at https://github.com/bodymapper/csa.git

A multichannel investigation of proprioceptive accuracy

Proprioceptive accuracy (PAc), i.e., the acuity of perception of the state of different parts of the motor system, shows substantial intraindividual differences, and is often considered a general ability. However, it is questionable whether there is an association between accuracies measured with different tests at different body sites. PAc with respect to both knee and elbow joints (joint position reproduction) and the flexors of the upper arms (weight discrimination) was measured in 87 young healthy individuals with regular physical activity across multiple indices. Expected and perceived performance was also assessed for each behavioral task. Frequentist and Bayesian analysis largely supported the idea that PAc with respect to various parts of the motor system are unrelated. No dominant-subdominant differences for actual performance were found; however, PAc for the dominant and subdominant limb were associated in many cases. Finally, perceived performance was related to expected but not to actual performance for all three proprioceptive modalities. In conclusion, actual accuracy of perception of the actual state of a part (i.e., joint, muscle) of the motor system cannot be generalized to other parts. Perceived accuracy, dominantly shaped by expectations, is independent from actual accuracy.

Human Joint Angle Estimation Using Deep Learning-Based Three-Dimensional Human Pose Estimation for Application in a Real Environment.

Human pose estimation (HPE) is a technique used in computer vision and artificial intelligence to detect and track human body parts and poses using images or videos. Widely used in augmented reality, animation, fitness applications, and surveillance, HPE methods that employ monocular cameras are highly versatile and applicable to standard videos and CCTV footage. These methods have evolved from two-dimensional (2D) to three-dimensional (3D) pose estimation. However, in real-world environments, current 3D HPE methods trained on laboratory-based motion capture data encounter challenges, such as limited training data, depth ambiguity, left/right switching, and issues with occlusions. In this study, four 3D HPE methods were compared based on their strengths and weaknesses using real-world videos. Joint position correction techniques were proposed to eliminate and correct anomalies such as left/right inversion and false detections of joint positions in daily life motions. Joint angle trajectories were obtained for intuitive and informative human activity recognition using an optimization method based on a 3D humanoid simulator, with the joint position corrected by the proposed technique as the input. The efficacy of the proposed method was verified by applying it to three types of freehand gymnastic exercises and comparing the joint angle trajectories during motion.

Differences in muscle activity of extrinsic and intrinsic foot muscles in toe grip and push-down movements of the great toe

Toe flexor strength is generated primarily by the flexor hallucis longus (FHL) of the extrinsic foot muscles (EFMs) and the plantar intrinsic foot muscles (PIFMs) of the great toe. Toe flexion methods can be broadly classified into toe grip (TG) and toe push-down (TP). Additionally, TP's interphalangeal joint (IPJ) position may influence the FHL and PIFMs activity ratios. This study aimed to elucidate the differences in the muscle activity and muscle activity ratios of the FHL and AbdH during TG, TP with IPJ flexion (TPIF), and TP with IPJ extension (TPIE).Surface electromyography and a custom-made instrument were used to measure the FHL and AbdH muscle activity during TG, TPIF, and TPIE of the great toe in 28 healthy men. The muscle activity and AbdH/FHL muscle activity ratio in the three conditions were statistically compared.The FHL activity was significantly higher during TG and TPIF than during TPIE. The AbdH muscle activity was significantly higher during TPIF and TPIE than that during TG. The AbdH/FHL muscle activity ratio was significantly higher for TPIE, TPIF, and TG in that order.This study showed that the FHL and AbdH muscle activity differed depending on the TG and TP of the great toe, and that the AbdH/FHL muscle activity ratio was different in the IPJ position. These results suggest that selecting a toe flexion method according to the target muscle when measuring and training the great toe flexor strength is important.

Awareness of Visual Offset Reduces but Does Not Eliminate Joint Repositioning Errors in Virtual Reality

The present study investigated the effect of visual offset (visuo-proprioceptive mismatch) in joint repositioning task in a three-dimensional virtual reality (VR) environment when participants were instructed to ignore vision. Twenty-five physically healthy young individuals performed shoulder joint position sense test. Repositioning accuracy was tested under two visual conditions, accurate and offset visions, and two instructions, no guidance or ignore vision. In accurate vision trials, the virtual hand of the tested limb seen in VR was congruent with where the participant placed their hand. In the offset vision condition, the virtual hand was seen 8° above or below their actual hand in the vertical plane. Repositioning error (i.e. constant error) in offset vision trials was lower when the participants were instructed to ignore vision compared to when no instruction about the visual offset was given (p < 0.001). However, constant error in offset vision trials was larger than accurate vision trials when the participants tried to ignore vision in both visual conditions (p < 0.001). Our results suggest that humans may be able to down-weight vision to some extent by conscious effort, while the influence of vision is difficult to eliminate when vision is present.

Effect of mindfulness training in adjunct to conventional physiotherapy on pain, function, and mindfulness attention awareness score in recreational long distance runners with patellofemoral pain syndrome: A randomized controlled trial protocol

Background The Patellofemoral Pain Syndrome (PFPS) poses a significant challenge in sports medicine due to its multifactorial etiology involving both physiological and psychological factors. Though widely used, conventional physiotherapy approaches often yield limited efficacy and high recurrence rates. Mindfulness-based interventions have emerged as promising adjuncts in managing various musculoskeletal conditions, offering potential benefits in pain management, coping strategies, and overall well-being. However, their efficacy in addressing PFPS remains underexplored, particularly in the context of recreational long-distance runners. This study investigates the effects of integrating mindfulness training as an adjunct to conventional physiotherapy on pain intensity, functional outcomes, and mindfulness awareness in recreational long-distance runners with PFPS. Methods Eligible individuals will be assigned randomly to either Group A (Mindfulness Training + Conventional Physiotherapy) or Group B (Conventional Physiotherapy). Outcome measures, such as the Numeric Pain Rating Scale (NPRS), Mindfulness Attention Awareness Scale (MAAS), Knee Injury and Osteoarthritis Outcome Score (KOOS), and knee joint position sense using a goniometer will be assessed at baseline and post-intervention. Mindfulness training will encompass a variety of techniques integrated with conventional physiotherapy sessions. Result This study has the potential to offer an enhanced treatment strategy that considers both the physical and psychological aspects of Patellofemoral Pain Syndrome (PFPS), potentially improving outcomes and well-being for recreational long-distance runners. CTRI Registration Number: CTRI/2024/03/064876

Investigation of sensory and motor functions of wrist in patients with rheumatoid arthritis

BackgroundRheumatoid arthritis (RA) is a systemic and autoimmune disease that affects many tissues and organs in the body, especially the synovial joint and periarticular structures. One of the most affected joints is the hand joints, and there is also involvement in the wrist joint. ObjectivesThe purpose of this study was to assess the sensory and motor functions of the wrist with a gold standard method and to determine the relationship between the motor and sensory functions of the wrist and wrist-related pain/disability level and hand grip strength in patients with RA. MethodFlexor and extensor muscle strength and joint position sense of the wrist were evaluated using isokinetic dynamometer, hand grip strength was measured using dynamometer, and wrist related pain and disability was assessed by Patient Rated Wrist Evaluation (PRWE) questionnaire. ResultsThirty-one patients with RA and 31 healthy controls were included in the study. Control group had better results regarding wrist flexor and extensor muscle strength and wrist joint position sense than RA patients for both hands/wrists. A positive and strong correlation and a negative and weak correlation were found between muscle strength and joint position sense of the wrist and hand grip strength, respectively. ConclusionsCompared to healthy subjects, RA patients showed wrist-related sensorimotor deficits. Therefore, evaluation of the wrist should not be ignored in the examination of patients with RA. In addition, when planning the treatment program of the patients, not only hand exercises but also exercises involving the wrist should be taken into consideration.

Observer based output feedback repetitive learning control of robotic manipulators

AbstractThis work tackles the tracking control problem of robotic manipulators where the robot dynamics contains uncertain parameters and joint velocity measurements are not available. Specifically when the robotic manipulator is required to perform a periodic task repetitively, as in most industrial applications, a repetitive learning controller is proposed that does not require joint velocity measurements and can compensate the uncertainties of the robot dynamical parameters and additive disturbances caused due to the periodic joint motion. The proposed solution is achieved via the use of a novel learning component in the controller design in conjunction with a novel model‐free joint velocity observer design. The stability of the closed‐loop system and the convergence of both the joint position tracking error and the joint velocity observation error to the origin are guaranteed via Lyapunov based arguments. Experimental results performed on a 2 degree of freedom robot manipulator are presented to demonstrate the performance of the proposed observer–controller couple.

Sensorimotor tests in patients with neck pain and its associated disorders: a systematic review and meta-analysis

This systematic review aimed to synthesize the current evidence regarding neck sensorimotor testing in individuals with neck pain, assess the differences between neck pain groups and healthy controls, and recognize factors that might affect test results. We performed the data search using PubMed, Embase, PsycINFO, CINAHL, and Scopus databases. We used a two-step screening process to identify studies. Furthermore, we screened the reference lists for additional studies. Hedges g was used to present the difference between neck pain groups and asymptomatic individuals. We assessed the quality of the studies using the QUADAS tool. The final review included 34 studies, of which 25 were related to the joint position error test, four to the smooth pursuit neck torsion test and six to the balance test. Our meta-analysis showed poorer joint-position sense, oculomotor function, and wider postural sway in individuals with neck pain than healthy controls. The size of the difference between the groups seemed to be influenced by the intensity of the pain and the presence of dizziness. Therefore, it might be helpful in future studies to differentiate patients with neck pain into subgroups based on their symptom and demographic profiles to assess other factors that significantly affect cervical sensorimotor control.

Qigong Master: A Qigong-Based Attention Training Game Using Action Recognition and Balance Analysis

Baduanjin is a type of martial art that is aimed at the development and health of the physical, emotional and spiritual aspects. It emphasizes on gentle movements, relaxed yet disciplined, and training of mental concentration through relaxation. In order to make Baduanjin attention training more effective and easier, we proposed a novel Baduanjin-based attention training game that instructs the subject to practice Baduanjin using virtual reality (VR) and motion analysis. Through a virtual instructor who demonstrates a series of Baduanjin actions, the subject is asked to follow the instructor's movement at any time. Meanwhile, the 3D position of the subject's body joints is collected by a motion capture device for further analysis using a deep learning model to evaluate the order correctness and precision of the Baduanjin actions. In addition, transfer learning technique is used to solve the problem of small size of Baduanjin data. Preliminary tests with 20 normal individuals showed that the recognition accuracy of the Baduanjin actions reached nearly 97%, and the balance analysis reflected the position change of the body center of mass to a certain extent. We also compared the performance of the model with and without pre-training to demonstrate the importance of transfer learning. The result of these explorations shows the feasibility of this prototype system as an attention training system and its potential as an assistive treatment option. In conclusion, we not only created the virtual instructor that could provide accurate movement demonstration, but also collected objective action data for more accurate balance analysis to provide appropriate feedback.

Multi-LiDAR human joint recognition algorithm in hospital wards based on improved V2V-Posenet

To prevent convulsions and falls of patients in the absence of medical staff, it is crucial to monitor their physical condition in hospital wards. However, several unresolved challenges in human joint recognition remain, such as object occlusion, human self-occlusion and complex backgrounds, resulting in difficulties in its practical application. In this paper, a multi-LiDAR system is proposed to obtain a multi-view human body point cloud. An improved V2V-Posenet model was introduced to detect the actual position of the human joint. In this system, each point cloud was spliced into a full point cloud and voxelized into the model. We also used a random voxel zero setting for data enhancement, constraining the relative length between human joints into a loss function and three-dimensional Gaussian filtering in a heat map for model learning. The improved model exhibited excellent performance in detecting human joints in hospital wards. The experimental results showed that the improved model achieved 91.6 % mean average precision, compared to 80.1 % for the original model and 77.4 % for the comparison algorithm A2J-Posenet. The speed of the improved model meets the requirements for real-time target detection.

Muscle contractile properties directly influence shared synaptic inputs to spinal motor neurons.

Alpha band oscillations in shared synaptic inputs to the alpha motor neuron pool can be considered an involuntary source of noise that hinders precise voluntary force production. This study investigated the impact of changing muscle length on the shared synaptic oscillations to spinal motor neurons, particularly in the physiological tremor band. Fourteen healthy individuals performed low-level dorsiflexion contractions at ankle joint angles of 90° and 130°, while high-density surface electromyography (HDsEMG) was recorded from the tibialis anterior (TA). We decomposed the HDsEMG into motor units spike trains and calculated the motor units' coherence within the delta (1-5Hz), alpha (5-15Hz), and beta (15-35Hz) bands. Additionally, force steadiness and force spectral power within the tremor band were quantified. Results showed no significant differences in force steadiness between 90° and 130°. In contrast, alpha band oscillations in both synaptic inputs and force output decreased as the length of the TA was moved from shorter (90°) to longer (130°), with no changes in delta and beta bands. In a second set of experiments (10 participants), evoked twitches were recorded with the ankle joint at 90° and 130°, revealing longer twitch durations in the longer TA muscle length condition compared to the shorter. These experimental results, supported by a simple computational simulation, suggest that increasing muscle length enhances the muscle's low-pass filtering properties, influencing the oscillations generated by the Ia afferent feedback loop. Therefore, this study provides valuable insights into the interplay between muscle biomechanics and neural oscillations. KEY POINTS: We investigated whether changes in muscle length, achieved by changing joint position, could influence common synaptic oscillations to spinal motor neurons, particularly in the tremor band (5-15Hz). Our results demonstrate that changing muscle length from shorter to longer induces reductions in the magnitude of alpha band oscillations in common synaptic inputs. Importantly, these reductions were reflected in the oscillations of muscle force output within the alpha band. Longer twitch durations were observed in the longer muscle length condition compared to the shorter, suggesting that increasing muscle length enhances the muscle's low-pass filtering properties. Changes in the peripheral contractile properties of motor units due to changes in muscle length significantly influence the transmission of shared synaptic inputs into muscle force output. These findings prove the interplay between muscle mechanics and neural adaptations.

Effects of Supervised Plyometric Training on Neuromuscular and Knee Functions for Late Phase Rehabilitation Program in Patients with Anterior Cruciate Ligament Reconstruction: A Randomized Controlled Trial

Objective: To determine the effects of plyometric training programs on neuromuscular and knee functions during the late phase rehabilitation following anterior cruciate ligament (ACL) reconstruction. Materials and Methods: Thirty participants, post-ACL reconstruction, were randomly assigned at their 6-month follow-up visit into two groups: 15 participants in each group (resistance or plyometric training group). Each group underwent two training sessions weekly for 8 weeks. The participants were assessed at baseline and after completed the training period for the single leg 6-meter timed hop, knee joint position sense, static and dynamic balance, isokinetic muscle strength and the International Knee Documentation Committee Subjective Knee Form. Results: Post an 8-week training period, both groups showed improvements in the single leg 6-meter timed hop. Notably, the limb symmetry index for this hop in the plyometric group was significantly higher than the resistance group {18.2% (10.2, 26.1) vs 6.2% (-2.0, 14.5) respectively}. The plyometric group also demonstrated significantly better knee joint position sense {-3.1° (-4.3, -1.9) vs -0.8° (-2.0, 0.4) respectively}and the unipedal stance on a stable surface with eyes closed {13.9 sec (2.7, 25.2) vs -2.6 sec (-14.3, 9.1) respectively} than the resistance group. Conclusion: Plyometric training in the late phase of ACL rehabilitation program has proven to be a suitable and effective approach for enhancing neuromuscular and knee functions.

The Effect of Single-Session Stimulating Massage on the Knee Joint Position Sense in Healthy Older Adult Men: A Randomized Crossover Trial.

Proprioception is critical for older adults to maintain their balance and prevent falling. However, massage is a convenient intervention that its beneficial effect on the proprioception is suggested. This study aimed to determine whether one session of stimulating massage of the muscles around the knee joint improves position sense in older adult men. Twenty healthy older adults participated in this blind, randomized, crossover trial. The two treatment phases were massage and rest. The washout period between interventions was a 1-week interval. The massage protocol was as follows: deep effleurage, petrissage, and tapotement for 5 minutes for the anterior (tensor fascia lata, quadriceps, sartorius, and gracilis) and posterior (hamstrings) muscles of the knee (10 minutes in total). Outcome measures were absolute, constant, and variable errors (AE, CE, and VE). Participants were assessed immediately before and after the intervention by a blinded investigator. Independent t-tests were used for statistical analyses. Massage reduced absolute error (2.77°, p = 0.01). The finding of this study confirms the beneficial impact of the massage on the joint position sense in healthy older adult men.

Investigation of The Correlation Between Pain, Proprioception and Range of Motion in Patients With Temporomandibular Joint Dysfunction

Purpose: The aim of study was to investigate the relationship between pain, proprioception and range of motion in patients with temporomandibular joint dysfunction (TMD). Material and Methods: The study was completed with 45 participants diagnosed with TMD and 45 healthy controls. Visual analog scale and graded chronic pain scale were used to assess pain intensity, dolorimeter was used for pain pressure threshold (PPT) assessment. Evaluation of cervical proprioception by cervical joint position error test (JPET), cervical joint range of motion assessment by digital goniometer, mouth opening measurements were made with a ruler. Results: In the study, pain intensity was high and PPT was low in the TMD group. In the JPET, the right-left rotation and left lateral flexion values in the TMD group had higher mean values than the control group (p=0.028, p=0.003, p=0.004, respectively). There was a significant difference between the groups in digital goniometer measurement in right-left rotation, right-left lateral flexion movements(p=0.008, p=0.001, p=0.041, p=0.005, respectively). The TMD group had a lower mean than the control group in painless, maximum assisted and unassisted mouth opening measurements(p=0.001, p=0.001, p=0.001, respectively). Conclusion: TMD patients presented a lower PPT, less accurate head repositioning, and some impairment in cervical range of motion.

Role of Core-Based Exercises in Improving Proprioception among Individuals with Neurological Disorders: A Systematic Literature Review and Meta-Analysis

PURPOSE: This study aimed to validate the effect of core-based exercise on proprioception in individuals with neurological disorders through a systematic review and meta-analysis.METHODS: A systematic literature search was conducted using databases such as PubMed, Web of Science, and Scopus for studies published up to October 10, 2023. The search yielded 1,945 articles, with seven studies ultimately included for in-depth analysis. Meta-analysis was performed using Review Manager 5.4 software. Standardized mean differences (SMDs) were calculated using Hedges’ g value using both random-effects and fixed-effects models.RESULTS: The meta-analysis revealed that core-based exercise significantly improved joint position sense (SMD = -1.33; 95% confidence interval [CI] = -2.09 to -0.57; I²= 0%; p &lt; .001) and kinesthesia (SMD = -0.33; 95% CI = -0.62 to -0.05; I²= 0%; p &lt; .05) in individuals with neurological disorders. In a sub-analysis by the type of neurological disease, core-based exercises were beneficial only for stroke patients (SMD = -1.05; 95% CI = -2.07 to -0.03; I²= 58%; p &lt; .05), but not for those with Parkinson’s disease or chorea. An analysis by the type of core exercise showed that core stability exercises had a significant benefit (SMD = -0.55; 95% CI = -0.97 to -0.14; I²= 0%; p &lt; .001), whereas yoga exercises did not demonstrate a significant effect.CONCLUSIONS: In this study, core-based exercises positively improved proprioception in patients with neurological disorders, and were particularly effective in stroke patients. Among various types of core exercises, only core stability exercises had a positive effect on proprioception in patients with neurological disorders.

Skeleton-aware Graph-based Adversarial Networks for Human Pose Estimation from Sparse IMUs

Recently, sparse-inertial human pose estimation (SI-HPE) with only a few IMUs has shown great potential in various fields. The most advanced work in this area achieved fairish results using only six IMUs. However, there are still two major issues that remain to be addressed. First, existing methods typically treat SI-HPE as a temporal sequential learning problem and often ignore the important spatial prior of skeletal topology. Second, there are far more synthetic data in their training data than real data, and the data distribution of synthetic data and real data is quite different, which makes it difficult for the model to be applied to more diverse real data. To address these issues, we propose “Graph-based Adversarial Inertial Poser (GAIP)”, which tracks body movements using sparse data from six IMUs. To make full use of the spatial prior, we design a multi-stage pose regressor with graph convolution to explicitly learn the skeletal topology. A joint position loss is also introduced to implicitly mine spatial information. To enhance the generalization ability, we propose supervising the pose regression with an adversarial loss from a discriminator, bringing the ability of adversarial networks to learn implicit constraints into full play. Additionally, we construct a real dataset that includes hip support movements and a synthetic dataset containing various motion categories to enrich the diversity of inertial data for SI-HPE. Extensive experiments demonstrate that GAIP produces results with more precise limb movement amplitudes and relative joint positions, accompanied by smaller joint angle and position errors compared to state-of-the-art counterparts. The datasets and codes are publicly available at https://cslinzhang.github.io/GAIP/ .

Effects of vibration therapy on muscle soreness and athletic performance in wheelchair basketball players

IntroductionVibration therapy (VT) has been widely used to increase performance and rehabilitate injuries in athletes. Delayed onset muscle soreness (DOMS), caused by excessive overload after training and competitions, leads to loss of performance. ObjectiveThe aim of this study was to investigate the effects of wearable local VT on muscle soreness and athletic performance in wheelchair basketball (WCB) players. MethodA non-randomized crossover design was used in this study in which thirteen elite WCB athletes (31.84 ± 12.59 years) participated. A two-week washout period was applied between the measurements of the control and the vibration groups. Muscle soreness, range of motion (ROM), joint position sense, 20-m sprint speed, and shooting percentage were evaluated for all participants pre-exercise, 30 min and 24 h post-exercise for both arms. After eccentric exercise, immediately local wearable VT was applied to both triceps brachii muscles for 10 min in the vibration group. ResultsCompared to baseline, there was a significant increase in muscle soreness and a significant decrease in joint position sense, ROM, sprint speed and shooting percentage in both groups 24 h post-exercise (p < 0.05). No significant differences were observed between the groups for muscle soreness and 20-m sprint speed (p > 0.05). However, there were significant improvements in elbow ROM, elbow joint position sense, and shooting percentage in the VT group (p < 0.05). ConclusionThe local VT may help improve the elbow ROM, elbow joint position sense, and shooting performance but can't contribute to reducing muscle soreness and sprint performance in recovery from exercise.