ReviewAdvances in experimental medicine and biology2020
Enhancing Teaching in Biomedical, Health and Exercise Science with Real-Time Physiological Visualisations.
Review in Advances in experimental medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis.Frontiers in veterinary science · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Muscle physiology constitutes a core curriculum for students and researchers within biomedical, health and exercise science disciplines. The variations between skeletal and smooth muscle, mechanisms underlying excitation-contraction coupling, as well as the relationships between muscle anatomy and physiology are commonly taught from illustrations, static models or textbooks. However, this does not necessarily provide students with the required comprehension surrounding the dynamic nature of muscle contractions or neuromuscular activities. This chapter will explore alternative methods of visualising skeletal and smooth muscle physiology in real-time. Various recording hardware, isolated tissues bath experiments, neurophysiological applications and computer-based software will be discussed to provide an overview of the evidence-based successes and case studies for using these techniques when assisting students with their understanding of the complex mechanisms underlying muscle contractions.
Indexed as
Identifiers
33211304What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.