A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level / \c Md Shawkat Ali.
The aim of this research is to develop an Ultra-wide Band (UWB) and Artificial Intelligence (AI) based system application to determine blood glucose concentration level non-invasively. To achieve this aim following objectives are set ; to investigate on UWB antennas and body parts, which can be best...
Saved in:
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | Thesis Book |
| Language: | English |
| Published: |
Perlis, Malaysia
School of Computer and Communication Engineering, Universiti Malaysia Perlis
2017
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The aim of this research is to develop an Ultra-wide Band (UWB) and Artificial Intelligence (AI) based system application to determine blood glucose concentration level non-invasively. To achieve this aim following objectives are set ; to investigate on UWB antennas and body parts, which can be best suited for reliable blood glucose detection ; to develop a system model using optimized neural network for auto-analysis of UWB pulse to obtain blood glucose level ; to integrate the hardware as UWB antenna and software as optimized neural network to compare the actual blood glucose level. |
|---|---|
| Physical Description: | xiii, 105 pages colour illustration 30cm |
| Bibliography: | Includes bibliographical reference |