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Investigating sparse model for Continuous Glucose Monitoring in Type 2 Diabetes

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dc.contributor.advisor GOEL, PRANAY
dc.contributor.author ., PRAJJWAL
dc.date.accessioned 2023-03-01T05:06:05Z
dc.date.available 2023-03-01T05:06:05Z
dc.date.issued 2022-09
dc.identifier.citation 62 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7639
dc.description.abstract Continuous Glucose Monitoring (CGM) is a cutting-edge method for monitoring blood glucose levels at predetermined intervals. Type 2 diabetes is a long-term chronic lifestyle disease brought on by high blood sugar levels. In our investigation, we will use isolated liquid meals and CGM data to predict the glucose level inspiring from a widely used fitting method that is described in this work. Owing to the CGM data’s signifi-cant nonlinearity and the complexity of adequately modelling it, we restricted the use of non-linear approaches to a single time period during the day. After rigorous research, we discovered that we can draw inspiration from the underdamped case of a damped harmonic oscillator to simulate our data accurately. We then used the same technique to apply and model CGM data available for five patients (2 non-diabetic, 2 diabetic and one pre-diabetic). We have carefully analyzed and shown the data, day by day as well, so that it may be used for more comprehensive analyses of the glucose dynamics and the prescription of a diet or medication for diabetic patients since it demonstrates how glucose varies with simple liquid meals. Keywords: Non-Linear modelling, Data visualization and analysis, Continuous Glucose Monitoring, Harmonic Oscillator en_US
dc.language.iso en en_US
dc.subject Sparse modeling en_US
dc.subject Data Science en_US
dc.subject Non linear Dynamics en_US
dc.subject Healthcare en_US
dc.subject CGM en_US
dc.subject Data visualization en_US
dc.subject Data Analysis en_US
dc.title Investigating sparse model for Continuous Glucose Monitoring in Type 2 Diabetes en_US
dc.type Thesis en_US
dc.type Dissertation en_US
dc.description.embargo no embargo en_US
dc.type.degree MS-exit en_US
dc.contributor.department Dept. of Physics en_US
dc.contributor.registration 20192033 en_US


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  • MS THESES [1705]
    Thesis submitted to IISER Pune in partial fulfilment of the requirements for the BS-MS Dual Degree Programme/MSc. Programme/MS-Exit Programme

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