Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/608121
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dc.coverage.spatial
dc.date.accessioned2024-12-19T10:35:09Z-
dc.date.available2024-12-19T10:35:09Z-
dc.identifier.urihttp://hdl.handle.net/10603/608121-
dc.description.abstractnewlineSound healing instruments have been utilized for centuries in religious ceremonies, festival celebrations, social gatherings, and meditation practices by a wide variety of cultures across the world. Sound waves have been shown to have a positive influence on health in both the body and the mind. While several studies have shown the positive effects of meditation on people, relatively few have looked into the significant impacts of singing bowls. The purpose of this research is to see if the vibrations from a Himalayan singing bowl may induce a more profound and rapid state of relaxation than would be possible when lying still. In order to automatically distinguish the meditative state from the baseline condition using Heart Rate Variability (HRV) data, this research proposes two machine learning (ML) models. To pick suitable inputs for the ML models a statistics-based t-test and a top 10 newlineranking approach was applied. In the statistics-based t-test method, the HRV parameters were subjected to choose appropriate input for the ML model. In this case study there are two models which were considered as the most effective models based on their accuracy, that are MLP 31-13-2 and RBF 31-17-2 model having a training accuracy of 83.75% and 68.75% respectively. In the second case study, top10 ranking-based approach was applied to the HRV parameters and as a result of which RBF 10-19-2 and MLP 10-5-2 were the most effective models, boasting a training accuracy of 72.50% and 92.5% respectively.
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEffect of Singing Bowl Meditation on Cardiac Health
dc.title.alternative
dc.creator.researcherUpadhyay, Ritika
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Multidisciplinary
dc.description.note
dc.contributor.guideChampaty, Biswajeet
dc.publisher.placePune
dc.publisher.universityAjeenkya DY Patil University
dc.publisher.institutionSchool of Engineering
dc.date.registered2019
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Engineering

Files in This Item:
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01_title.pdfAttached File127.84 kBAdobe PDFView/Open
02_prelim_pages.pdf218.89 kBAdobe PDFView/Open
03_contents.pdf145.86 kBAdobe PDFView/Open
04_abstract.pdf29.63 kBAdobe PDFView/Open
05_chapter 01.pdf284.38 kBAdobe PDFView/Open
06_chapter 2.pdf871.11 kBAdobe PDFView/Open
07_chapter 3.pdf618.29 kBAdobe PDFView/Open
08_chapter 4.pdf485.42 kBAdobe PDFView/Open
09_chapter 5.pdf179.25 kBAdobe PDFView/Open
10_annexures.pdf3.08 MBAdobe PDFView/Open
80_recommendation.pdf116.42 kBAdobe PDFView/Open


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