Dataset for Anodal transcranial direct current stimulation increases corticospinal excitability, while performance is unchanged

Anodal transcranial direct current stimulation (a-tDCS) has been shown to improve bicycle time to fatigue (TTF) tasks at 70-80% of VO2max and downregulate rate of perceived exertion (RPE). This study aimed to investigate the effect of a-tDCS on a RPE-clamp test, a 250-kJ time trial (TT) and motor evoked potentials (MEP). Twenty participants volunteered for three trials; control, sham stimulation and a-tDCS. Transcranial magnetic stimulation was used to determine the corticospinal excitability for 12 participants pre and post sham stimulation and a-tDCS. The a-tDCS protocol consisted of 13 minutes of stimulation (2 mA) with the anode placed above the Cz. The RPE-clamp test consisted of 5 minutes ergometer bicycling at an RPE of 13 on the Borg scale, and the TT consisted of a 250 kJ (∼10 km) long bicycle ergometer test. During each test, power output, heart rate and oxygen consumption was measured, while RPE was evaluated. MEPs increased significantly by 36% (±36%) post a-tDCS, with 8.8% (±31%) post sham stimulation (p = 0.037). No significant changes were found for any parameter at the RPE-clamp or TT. The lack of improvement may be due to RPE being more controlled by afferent feedback during TT tests than during TTF tests. Based on the results of the present study, it is concluded that a-tDCS applied over Cz, does not enhance self-paced cycling performance

Proccessed data for Trend Validation of Metabolic Models Against Measurements Using Indirect Calorimetry

A cleaned data set used to validate metabolism models in a muscuskeletal modeling software. The dataset contains 240 rows and 18 columns. Labels: AnyMet = Metabolic output by the modelling software. Calculated as the mean energy cost per repetition [J] . VynMet = Metabolic output by the indirect calorimetry system (Vyntus CPX). Calculated as the mean energy cost per repetition [J]. rest_energy = total energy cost during rest [J]. Measured with Indirect caliometry rest_time = total time of rest [min] Work = Energy cost times the displacement per rep [J]. watt = Work divided by total duration of a repetition [J/s] extension time = duration of the extension part of the movement [s] flexion time = duration of the flexion part of the movement [s] bw = bodyweight [kg] height [m] CV = coefficient of variation for the measured rest_energy. model = model type used for AnyMet. Subject Contraction = Contraction type performed intensity = Intensity to overcome created by the dynamometer. mech_watt_kg = mechcanical watt, watt divided by bodyweight any_met_watt_kg = watt pr kg: (AnyMet / bw) / (extension time + flexion time) vyn_met_watt_kg = watt pr kg: (VynMet / bw) / (extension time + flexion time) There is also a zip file containing the raw data from the dynanometer and the Vyntus PGE system

Medio-lateral and lateral edge friction in indoor sports shoes

It has previously been speculated that the occurrence and severity of lateral ankle sprain injuries is linked to excessive shoe–surface friction. Especially, the lateral parts of the shoe outsole are suggested to play an important role in such scenarios but have never been quantified in a systematic manner. Therefore, the purpose of this study was to investigate the variation of friction of indoor sport shoes with foot orientation and compare it to the traditional industry forefoot friction test standard. We modified the ISO:13287:2019 test for footwear slip resistance and positioned the shoe on its forefoot and lateral edge while replicating medio-lateral movements similar to previously reported ankle sprain incidents. All tests were conducted on an indoor vinyl/sport surface. The results from the modified setups were compared to those following the anterior-posterior orientated ISO standard. Medio-lateral friction was on average 17% lower and lateral edge friction 24% lower than anterior-posterior forefoot friction (p < .001). However, linear regression showed that the forefoot test could only explain 36% and 35% of the variation in medio-lateral and edge friction. This suggests that motion-specific tests are necessary to determine footwear friction properties meaningfully. These findings could have important implications for future research and product testing in the field of footwear friction, safety and injury prevention

Medio-lateral and lateral edge friction in indoor sports shoes

It has previously been speculated that the occurrence and severity of lateral ankle sprain injuries is linked to excessive shoe–surface friction. Especially, the lateral parts of the shoe outsole are suggested to play an important role in such scenarios but have never been quantified in a systematic manner. Therefore, the purpose of this study was to investigate the variation of friction of indoor sport shoes with foot orientation and compare it to the traditional industry forefoot friction test standard. We modified the ISO:13287:2019 test for footwear slip resistance and positioned the shoe on its forefoot and lateral edge while replicating medio-lateral movements similar to previously reported ankle sprain incidents. All tests were conducted on an indoor vinyl/sport surface. The results from the modified setups were compared to those following the anterior-posterior orientated ISO standard. Medio-lateral friction was on average 17% lower and lateral edge friction 24% lower than anterior-posterior forefoot friction (p < .001). However, linear regression showed that the forefoot test could only explain 36% and 35% of the variation in medio-lateral and edge friction. This suggests that motion-specific tests are necessary to determine footwear friction properties meaningfully. These findings could have important implications for future research and product testing in the field of footwear friction, safety and injury prevention

Muscuskeletal model for Trend Validation of Metabolic Models Against Measurements Using Indirect Calorimetry

A muscuskeletal model made with Anybody Modeling Software used for the article "Trend Validation of Metabolic Models Against Measurements Using Indirect Calorimetry". The zip file contains the two items. A folder and a .py file. The .py file shows the use of AnyPyTools (can be installed with PIP) to run the AnyBody model with easy to use iterations. The folder contains several files and folders. The "Knee_eks_fleks_Model.Main.any" is the primary file for the model. KneeMetabolicTesting.any contains the relevant information regarding how to output the metabolic models

MOESM1 of Intensive, personalized multimodal rehabilitation in patients with primary or revision total knee arthroplasty: a retrospective cohort study

Additional file 1. TIDieR-checklist

MOESM3 of Intensive, personalized multimodal rehabilitation in patients with primary or revision total knee arthroplasty: a retrospective cohort study

Additional file 3. Table S4 illustrating a secondary analysis

MOESM4 of Intensive, personalized multimodal rehabilitation in patients with primary or revision total knee arthroplasty: a retrospective cohort study

Additional file 4. Table S5 illustrating a secondary analysis

MOESM2 of Intensive, personalized multimodal rehabilitation in patients with primary or revision total knee arthroplasty: a retrospective cohort study

Additional file 2. Rehabilitation protocol

Intensive, personalized multimodal rehabilitation in patients with primary or revision total knee arthroplasty: a retrospective cohort study

Abstract Background Recent evidence has shown that many patients suffer from persistent pain and impaired function after primary or revision total knee arthroplasty (TKA). Post-surgical complications may in addition decrease physical performances and lead to more pain and impacted quality of life. The purpose of the study was to assess the changes in pain intensity and functional capacity among patients with post-surgical complications after TKA three weeks of intensive, personalized multimodal rehabilitation. Methods A retrospective cohort study consisting of 217 patient of which 166 had primary TKA and 51 had revision TKA was conducted. On average, primary TKA patients and revision TKA patients were 3.7 and 2.7 months post-surgical, respectively. All patients have had post-surgical complications and were referred to an inpatient rehabilitation department, where they received a personalized three-week intensive, multimodal rehabilitation protocol. The rehabilitation consisted of sessions targeting neuromuscular function, postural control, and flexibility, sessions focusing on improving muscle strength and cardiovascular function and sessions with focus on gait retraining. The frequency of training was 2–4 sessions/day. The primary outcome was the Knee injury and Osteoarthritis Outcome Score (KOOS) and secondary outcomes were pain intensities measured using numerical rating scale, 6 min. walking test, stair-climbing test and range of motion for knee flexion and extension. Outcome measures were assessed at baseline upon referral and at follow-up before discharge. Results All outcomes, except pain at rest in the revision group, improved significantly. KOOS subscales, improved 8.5 to 14.2 in the primary TKA group (