#MuscleFatigue

AltAndPaper EN｜Satire News

@altandpaperen.bsky.social

2 weeks ago

"Forced Bedridden Tour" Hits Big with Overworked Elites

A depopulated village forces 3,000 squats on arrival. Immobile guests get elderly care. Diaper use skyrockets.

alt.andpaper.net/en/articles/20260226-bed...

#RegionalRevitalization #MuscleFatigue

JMIR Publications

@jmirpub.bsky.social

3 months ago

Localized Muscular Fatigue in Robotic-Assisted Laparoscopic Surgery: Predictive Modeling Study Background: Robotic-assisted surgery (RAS) has grown rapidly in recent decades, and several RAS procedures have become the standard. However, the physical and mental demands of minimally invasive surgery (MIS) techniques can lead to ergonomic shortcomings for surgeons. Advances in wearable technology and artificial intelligence (#AI) favor the development of innovative solutions to analyze and improve ergonomic conditions during surgical practice. Objective: The main objective is the development and validation of a predictive model of localized muscle fatigue from electromyography (EMG) data during conventional laparoscopic surgery (LAP) and RAS. Methods: Four different tasks were performed on LAP and RAS: dissection, labyrinth, peg transfer, and suturing. A wireless EMG sensor system was used to record muscle activity. Joint analysis of the spectrum and analysis graphs was used to evaluate the localized muscle fatigue. A dataset was generated for each task as a function of surgeons’ expertise level and surgical type. Each dataset was scaled as preprocessing and divided into 2 datasets: 80% for training and 20% for testing. Multiple linear regression (MLR) and multilayer perceptron (MLP) were applied as predictive techniques and validated on all test datasets. R2 coefficient and root-mean-square error were used to measure the accuracy of the models. Results: RAS showed less muscle fatigue for novice surgeons compared to LAP practice, although it was higher for expert surgeons. The predictive model achieved satisfactory R2 and root-mean-square error coefficients for all parameters extracted from the EMG signal, predicting with high accuracy localized muscle fatigue values. The MLR predictive model demonstrated superior performance relative to the MLP model. Conclusions: Wearable technology and artificial intelligence (#AI) techniques have been successfully applied for the development and validation of a novel predictive model based on MLR and MLP to predict localized muscle fatigue in MIS. Trial Registration:

JMIR Formative Res: Localized Muscular Fatigue in Robotic-Assisted Laparoscopic Surgery: Predictive Modeling Study #RoboticSurgery #SurgicalInnovation #WearableTechnology #ArtificialIntelligence #MuscleFatigue

ME Association

@meassociation.org.uk

5 months ago

Investigations: Hand Grip Strength - The ME Association I was interested to read about the new research from the ME Biobank that looked at hand grip strength in people with ME. As this appears to be a good predictor of both loss of muscle strength and disease severity why isn’t it part of the examination protocol when doctors examine people with ME

For more information on hand grip strength, please see: meassociation.org.uk/medical-matters/items/in...

#MuscleFatigue #MuscleWeakness #Weakness

ME Association

@meassociation.org.uk

6 months ago

Muscle twitching/fasciculations - The ME Association Muscle twitchings, which are also known as fasciculations, are an […]

2/2: For more info on muscle twitching, click here: meassociation.org.uk/medical-matters/items/mu...

#pwME #MECFS #MusclePain #MuscleFatigue #MuscleWeakness #Tremors #Twitching

ME Association

@meassociation.org.uk

6 months ago

IMAGE DESCRIPTION: Graphic of a leg with squiggly lines coming off, representing pain. Heading - Ni is for Neuromuscular symptoms. A-Z of ME/CFS. ME Association logo.

N is for Neuromuscular symptoms. The neuromuscular symptoms associated with ME/CFS include muscle weakness, muscle pain, muscle fatigue, and twitching or spasms in the muscles (fasciculations). Research has shown that this muscle weakness and fatigue is not the result of inactivity or deconditioning. A-Z of ME/CFS.

1/2: N is for Neuromuscular symptoms. 

For more info on muscle cramps and pain, click here: meassociation.org.uk/medical-matters/items/sy...

#pwME #MECFS #MusclePain #MuscleFatigue #MuscleWeakness #Tremors #Twitching

NSH FIT

@nsh2fit.bsky.social

9 months ago

Are you losing strength even though you're training consistently?

It could be your CNS, not your effort.

Recovery isn't a luxury — it's a requirement.

NSH FIT. No Fluff. Just Progress.

#CNSRecovery #SmartTraining #NoFluffFitness #SportsPerformance #MuscleFatigue