Smartphone-based Biofeedback Breathing Training for Stress Management

Item Type Conference or Workshop Item (Poster)
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?

Authors Shih, Chen-Hsuan Iris; Nißen, Marcia; Büchter, Dirk; Durrer, Dominique; l’Allemand, Dagmar; Fleisch, Elgar & Kowatsch, Tobias
Subjects information management
social sciences
other research area
Institute/School ITEM - Institute of Technology Management with Transfer Center for Technology Management (TECTEM)
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HSG Classification contribution to scientific community
HSG Profile Area SoM - Business Innovation
Date 29 January 2018
Event Title Applied Machine Learning Days 2018
Event Location EPFL Lausanne, Lausanne, Switzerland
Official URL https://www.researchgate.net/publication/321796946
Depositing User Dr. oec. H Tobias Kowatsch
Date Deposited 14 Dec 2017 10:13
Last Modified 14 Dec 2017 11:06
URI: https://www.alexandria.unisg.ch/publications/252954

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Citation

Shih, Chen-Hsuan Iris; Nißen, Marcia; Büchter, Dirk; Durrer, Dominique; l’Allemand, Dagmar; Fleisch, Elgar & Kowatsch, Tobias: Smartphone-based Biofeedback Breathing Training for Stress Management. [Conference or Workshop Item]

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https://www.alexandria.unisg.ch/id/eprint/252954
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