ArticleSensors (Basel, Switzerland)2021
Detection of Muscle Activation during Resistance Training Using Infrared Thermal Imaging.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Low Back Exoskeletons in Industry 5.0: From Machines to Perceiving Co-Pilots-A State-of-the-Art Review.Sensors (Basel, Switzerland) · 2025Review
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- Human Arm Workout Classification by Arm Sleeve Device Based on Machine Learning Algorithms.Sensors (Basel, Switzerland) · 2023Article
- Cultivation of College Basketball Referee Ability Using Infrared Thermal Imaging Target Recognition and Tracking System.Computational intelligence and neuroscience · 2022Article
- Effects of Continuous Infusion of Lidocaine under Ultrasound-Guided Cervical Sympathetic Ganglion Catheterization on Cerebral Hemodynamics and Thermal Imaging Characteristics of Head and Neck in Patients with Angioneurotic Headache.Evidence-based complementary and alternative medicine : eCAM · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Infrared thermal imaging has been widely used to show the correlation between thermal characteristics of the body and muscle activation. This study aims to investigate a method using thermal imaging to visualize and differentiate target muscles during resistance training. Thermal images were acquired to monitor three target muscles (i.e., biceps brachii, triceps brachii, and deltoid muscle) in the brachium while varying the training weight, duration, and order of training. The acquired thermal images were segmented and converted to heat maps. By generating difference heat maps from pairs of heat maps during training, the target muscles were clearly visualized, with an average temperature difference of 0.86 °C. It was observed that training order had no significant effect on skin surface temperature. The difference heat maps were also used to train a convolutional neural network (CNN) to show the feasibility of target muscle classification, with an accuracy of 92.3%. This study demonstrated that infrared thermal imaging could be effectively utilized to locate and differentiate target muscle activation during resistance training.
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Registered trials
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