Browsing Computer Science & Engineering by Subject "Wearable devices"
Now showing items 1-4 of 4
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Embedded fuzzy classifier for detection and classification of preseizure state using real EEG data
( Springer Verlag , 2014 , Conference Paper)A Classification technique using Fuzzy Logic Inference System to identify and predict the partial seizure from the epileptic EEG data along with preliminary brain conditions in different scenarios is presented in this ... -
Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data
( IOS Press BV , 2023 , Conference Paper)In 2019 alone, Diabetes Mellitus impacted 463 million individuals worldwide. Blood glucose levels (BGL) are often monitored via invasive techniques as part of routine protocols. Recently, AI-based approaches have shown the ... -
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
( Elsevier , 2023 , Article)Introduction: Diabetes Mellitus (DM) is characterized by impaired ability to metabolize glucose for use in cells for energy, resulting in high blood sugar (hyperglycemia). DM impacted 463 million individuals worldwide in ... -
User privacy and data trustworthiness in mobile crowd sensing
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)Smartphones and other trendy mobile wearable devices are rapidly becoming the dominant sensing, computing and communication devices in peoples' daily lives. Mobile crowd sensing is an emerging technology based on the sensing ...