On the classification of acoustic sequences for intervention in essential hypertension

Petra Friedrich, T. Kohler, B. Wolf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Acoustic signals are able to modulate the human metabolic and central-nervous functions and evoke physiological effects. The anti-hypertensive effect of certain iterative sound patterns, as a possible intervention in essential hypertension, has been examined in particular in many recent studies and has also been part of our own research work. There is evidence that the acoustic sequences and sound clusters used for intervention can decrease blood pressure significantly. For therapy, however, it is necessary to identify the active musical ingredients of the sounds in the context of active pharmaceutical ingredients. This article discusses the systematic analysis of the musical features that are responsible for the anti-hypertensive effect. More than 400 features were extracted and investigated in terms of their relevance concerning their anti-hypertensive effect. The 17 most significant characteristics were used to develop a classifier based on the discriminant analysis that decides whether a sound pattern has a sedative or a stimulating effect. This will be clarified in acoustic demonstrations. With this tool, it is possible to filter the most suitable therapeutic sound patterns from a large selection of music sequences. We now have the foundation for providing individualized and personalized therapies while respecting the personal preferences of every individual user.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
PublisherSpringer Verlag
Pages85-88
Number of pages4
Edition4
ISBN (Print)9783642038815
DOIs
StatePublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: 7 Sep 200912 Sep 2009

Publication series

NameIFMBE Proceedings
Number4
Volume25
ISSN (Print)1680-0737

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Country/TerritoryGermany
CityMunich
Period7/09/0912/09/09

Keywords

  • Acoustic biofeedback therapy
  • Classifier, music
  • Feature extraction
  • Hypertension

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