Literature DB >> 25980884

Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG.

Ekaterina Kutafina1, David Laukamp1, Stephan M Jonas1.   

Abstract

Lack of proper hand hygiene is a common source of hospital acquired infections. Training and evaluating efficiency in hand washing is therefore an important part of medical education. Here, we propose to use the Myo wearable armband to measure correctness of hand washing for mobile learning. Myo's sensors are designed in order to recognize the activity of the forearm, palm and fingers. Using signal processing and machine learning, the quality of the hand washing process can be estimated and used as evaluation in medical teaching. The project is in its initial phase, thus we present preliminary results and a vision of future development.

Mesh:

Year:  2015        PMID: 25980884

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

Review 1.  Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review.

Authors:  Kai Siang Chan; Nabil Zary
Journal:  JMIR Med Educ       Date:  2019-06-15

Review 2.  Sensor, Wearable, and Remote Patient Monitoring Competencies for Clinical Care and Training: Scoping Review.

Authors:  Donald M Hilty; Christina M Armstrong; Amanda Edwards-Stewart; Melanie T Gentry; David D Luxton; Elizabeth A Krupinski
Journal:  J Technol Behav Sci       Date:  2021-01-22

Review 3.  Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology.

Authors:  Chaofan Wang; Weiwei Jiang; Kangning Yang; Difeng Yu; Joshua Newn; Zhanna Sarsenbayeva; Jorge Goncalves; Vassilis Kostakos
Journal:  J Med Internet Res       Date:  2021-11-24       Impact factor: 5.428

4.  Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training.

Authors:  Ekaterina Kutafina; David Laukamp; Ralf Bettermann; Ulrik Schroeder; Stephan M Jonas
Journal:  Sensors (Basel)       Date:  2016-08-03       Impact factor: 3.576

Review 5.  Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review.

Authors:  Christine Buchanan; M Lyndsay Howitt; Rita Wilson; Richard G Booth; Tracie Risling; Megan Bamford
Journal:  JMIR Nurs       Date:  2021-01-28
  5 in total

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