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Proceedings Paper

UDA-mu BioLab: Teaching Microcontrollers with Bioinstrumentation

Publicated to:Comparative Study Of Machine Learning Methods For The Early Prediction Of Adherence To Medication. 68 (1): 877-880 - 2019-01-01 68(1), DOI: 10.1007/978-981-10-9035-6_163

Authors: Alvarado-Cando, O; Torres-Salamea, H; Almeida, D A

Affiliations

Abstract

This paper presents the development, implementation and assessment of a practice guide designed to support the course of microcontrollers named UDA-mu BioLab. This guide allows to consolidate the knowledge about the different peripherals of the microcontroller and introduces the students in the area of Bioinstrumentation through the acquisition of biosignals and actuators for prosthetics. Practices begin with the use of the A/D converter for the acquisition of EMG signals and flashing of a LED, then it is integrated with a DC motor to control the opening and closing of a commercial Ottobock prosthetics. To learn the PWM module, the prosthetics must pick up different objects such as a wood cube, a plastic ball and an egg without damage. The ECG signal and pulse oximeter are acquired by the microcontroller too. The final project is the control of a robotic hand with 5 DOF (servomotor) and controlled by the EMG signals of a student and the computer. The outcomes of the course development presented here may be used as a guideline for the creation of multidisciplinary courses.

Keywords

BioinstrumentationBiomedical engineering educationMicrocontrollersMultidisciplinary courses

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 2.65, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-07, the following number of citations:

  • WoS: 2
  • Scopus: 11
  • OpenCitations: 5

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-07:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 13 (PlumX).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Ecuador.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ALVARADO CANDO, OMAR) and Last Author (Almeida, D. A.).