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. 2021 Mar 8:10:187.
doi: 10.12688/f1000research.51049.1. eCollection 2021.

Building capacity through open approaches: Lessons from developing undergraduate electrophysiology practicals

Affiliations

Building capacity through open approaches: Lessons from developing undergraduate electrophysiology practicals

Erin C McKiernan et al. F1000Res. .

Abstract

Background: Electrophysiology has a wide range of biomedical research and clinical applications. As such, education in the theoretical basis and hands-on practice of electrophysiological techniques is essential for biomedical students, including at the undergraduate level. However, offering hands-on learning experiences is particularly difficult in environments with limited resources and infrastructure. Methods: In 2017, we began a project to design and incorporate electrophysiology laboratory practicals into our Biomedical Physics undergraduate curriculum at the Universidad Nacional Autónoma de México. We describe some of the challenges we faced, how we maximized resources to overcome some of these challenges, and in particular, how we used open scholarship approaches to build both educational and research capacity. Results: We succeeded in developing a number of experimental and data analysis practicals in electrophysiology, including electrocardiogram, electromyogram, and electrooculogram techniques. The use of open tools, open platforms, and open licenses was key to the success and broader impact of our project. We share examples of our practicals and explain how we use these activities to strengthen interdisciplinary learning, namely the application of concepts in physics to understanding functions of the human body. Conclusions: Open scholarship provides multiple opportunities for universities to build capacity. Our goal is to provide ideas, materials, and strategies for educators working in similar resource-limited environments.

Keywords: biomedical sciences; electrophysiology; higher education; open education; open research; open scholarship; open science; undergraduate education.

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Conflict of interest statement

Competing interests: ECM is (or has previously served as) an advisor or editorial board member for several open tools and platforms, including Figshare, Overleaf, Journal of Open Source Education, and Research Ideas and Outcomes. However, these are volunteer positions. The authors do not receive any financial gains for promoting the tools and platforms described herein. The authors declare they have no other competing interests.

Figures

Figure 1.
Figure 1.. Workflow and tools used to pilot, develop, and share our electrophysiology practicals.
Figure 2.
Figure 2.. Concept map for how various open approaches connected for us in this project.

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References

    1. Hogrel JY: Clinical applications of surface electromyography in neuromuscular disorders. Neurophysiol Clin. 2005;35(2–3):59–71. 10.1016/j.neucli.2005.03.001 - DOI - PubMed
    1. Sherwood AM, McKay WB, Dimitrijevi´c MR: Motor control after spinal cord injury: assessment using surface EMG. Muscle Nerve. 1996;19(8):966–979. 10.1002/(SICI)1097-4598(199608)19:8<966::AID-MUS5>3.0.CO;2-6 - DOI - PubMed
    1. Masood F, Abdullah HA, Seth N, et al. : Neurophysiological characterization of a non-human primate model of traumatic spinal cord injury utilizing fine-wire EMG electrodes. Sensors (Basel). 2019;19(15):3303. 10.3390/s19153303 - DOI - PMC - PubMed
    1. Akin I, Kische S, Schneider H, et al. : Surface and intracardiac ECG for discriminating conduction disorders after CoreValve implantation. Clin Res Cardiol. 2012;101(5):357–364. 10.1007/s00392-011-0400-6 - DOI - PMC - PubMed
    1. Acharya UR, Fujita H, Oh SL, et al. : Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals. Inf Sci. 2017;415–416:190–198. 10.1016/j.ins.2017.06.027 - DOI

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