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Classification of Respiratory Data: Classifying and analyzing respiratory data to present as feedback towards cultivating habitual diaphragmatic breathing

Mundkur, Arnav (2018) Classification of Respiratory Data: Classifying and analyzing respiratory data to present as feedback towards cultivating habitual diaphragmatic breathing.

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Abstract:Diaphragmatic breathing is a special style of breathing and an aspect central to eastern practices such as Yoga, Tai-Chi and Qigong. Diaphragmatic breathing incorporates the abdomen during inhalation, causing it to expand instead of the chest. Mr. Bulsink, an entrepreneur and inventor based in Enschede, is enthusiastic about diaphragmatic breathing and developed a device, the Airleviate, to measure a wearer’s breathing using Respiratory Inductance Plethysmography (RIP). His request was to have data recorded with the Airleviate to be analyzed so that features regarding breathing could be presented to the wearer as feedback. This led to the research question: “How can Respiratory Inductance Plethysmography data be classified and analyzed to be used as feedback towards cultivating habitual diaphragmatic breathing?”
Item Type:Essay (Bachelor)
Clients:
Unknown organization, Enschede, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Creative Technology BSc (50447)
Link to this item:http://purl.utwente.nl/essays/75786
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