Development of machine learning techniques for non-invasive blood glucose sensor
Diabetes mellitus is a common chronic disease with more than 8% of the world population suffered from it. Millions of diabetics have to undergo painful and grueling invasive blood glucose testing several times a day to monitor their blood glucose level. In order to solve this problem, scientists...
محفوظ في:
المؤلف الرئيسي: | Jiang, Jiaxin |
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مؤلفون آخرون: | Muhammad Faeyz Karim |
التنسيق: | Theses and Dissertations |
اللغة: | English |
منشور في: |
2019
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الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10356/78557 |
الوسوم: |
إضافة وسم
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المؤسسة: | Nanyang Technological University |
اللغة: | English |
مواد مشابهة
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Design of non-invasive blood glucose sensor and development of machine learning technique for detection
بواسطة: Narayanan Revathi Sibi
منشور في: (2022) -
Machine learning approach for non-invasive detection of blood glucose concentration using microwave sensor
بواسطة: Rakesh Reddy, Yeddula Nagabhushigari
منشور في: (2018) -
Development of machine learning techniques for non-invasive heart rate sensor
بواسطة: Lohesh Gnanasekaran
منشور في: (2020) -
Location tracking using multi-sensor fusion and machine learning techniques
بواسطة: Tan, Wei Sheng
منشور في: (2020) -
Design of finger holder for non-invasive blood glucose level measurement
بواسطة: Loh, Eileen Yi Ling.
منشور في: (2011)