A portable medical monitoring device Part I
People diagnosed with diabetes are on the rise and diabetes are among the top 10 causes of death in Singapore. National Health Survey shows the percentage of Singapore residents with diabetes aged between 18 and 69 years old has increased from 8.2% in year 2004 to 11.3% in year 2010 [1]....
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/10356/59923 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | People diagnosed with diabetes are on the rise and diabetes are among the top 10 causes of death in Singapore. National Health Survey shows the percentage of Singapore residents with diabetes aged between 18 and 69 years old has increased from 8.2% in year 2004 to 11.3% in year 2010 [1].
Poorly managed diabetes can put diabetics at risk for a host of complications that can affect almost all the organs in the body [2]. The 2 major complications people with uncontrolled diabetes faced would be having heart disease and damaged blood vessel disease that leads to amputation of limbs or even lead to retina damage which causes blindness.
Studies have shown that good diabetes control in the early stage can prevent or stop the progression of long-term complications [3].
This project aims to allow diabetics to keep track of their blood glucose readings so as to prevent any further complications. The user can use their Android smart phone that comes with camera to capture the readings from the glucose-monitoring device.
There will be three process involved for the blood-glucose reading optical character recognition. The first process is to perform image processing on the captured image. The second process will be to use the Optical Character Recognition software to recognize the characters within the processed image. The last process will be to store the readings to database.
The image processing section has been implemented successfully. The Optical Character Recognition has been fully implemented but the accuracy for the OCR process is low.
This report will discuss the proposed approach for image processing and seven-segment optical character recognition. In addition, the future directions for future enhancements are also discussed. |
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