title: Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG.
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.
authors.affiliation: Department of Medical Informatics, Medical Center, RWTH Aachen, Germany.
authors.forename: Ekaterina
authors.initials: E
authors.lastname: Kutafina
authors.affiliation: Department of Medical Informatics, Medical Center, RWTH Aachen, Germany.
authors.forename: David
authors.initials: D
authors.lastname: Laukamp
authors.affiliation: Department of Medical Informatics, Medical Center, RWTH Aachen, Germany.
authors.forename: Stephan M
authors.initials: SM
authors.lastname: Jonas
mesh_terms: D003428:Cross Infection / Q000517:prevention & control; D004501:Education, Medical; D004506:Education, Nursing; D004576:Electromyography / Q000295:instrumentation*; D005542:Forearm / Q000502:physiology*; D063373:Hand Hygiene / Q000379:methods*; D006801:Humans; D000069550:Machine Learning; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted; D013673:Technology Assessment, Biomedical