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Smartphone-based Biofeedback Breathing Training for Stress Management
Type
conference poster
Date Issued
2018-01-29
Author(s)
Shih, Chen-Hsuan Iris
Nißen, Marcia
Büchter, Dirk
Durrer, Dominique
l’Allemand, Dagmar
Abstract
Biofeedback-based Breathing Trainings (BBTs) shows significant effect on health (WAN10, DIL16). State-of-the-art BBTs require dedicated (high cost) hardware and health professionals which represent a significant barrier to their widespread adoption. While It has been shown that a smartphone microphone has the ability to record audio signals from exhalation in a quality of professional respiratory devices (LAR12), the ultimate goal of this project is to answer the research question: To which degree of accuracy can a mobile application detect respiratory acoustic patterns in quasi-real-time with a smartphone’s microphone, thus capable of triggering adequate biofeedback?
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Event Title
Applied Machine Learning Days 2018
Event Location
EPFL Lausanne, Lausanne, Switzerland
Official URL
Division(s)
Eprints ID
252954