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| Paper Title: | A Modular approach to diabetic examination with alert system based on IoT |
| Authors Name: | Guruprasad M Bhat , Pradeep R , Praveen K , Sathvik B S , Yashas K R |
| Unique Id: | IJSDR1705090 |
| Published In: | Volume 2 Issue 5, May-2017 |
| Abstract: | Diabetes is a chronic disease which when not monitored from time to time can be life threatening disease. Diabetes can be controlled only if the blood glucose level of the affected person is constantly monitored and proper care is given from professionals. The roles in our system include patients, physicians and home care assistants. Each of the roles uses a mobile device with GSM module or a mobile phone to communicate with the server so that there are no boundaries or restrictions for the patient. Our system uses a non invasive method i.e., there is no need oh any needle’s or pricking for checking sugar level in the body. For mobiles with Bluetooth and Wi-Fi communication capabilities used by the patients, an algorithm is developed to recognize physiological signal that were built-in in the mobile phone without affecting its original purpose. Our system provides alert management by using an automatic urgency strategy through GSM module. The alert message is sent in severe cases when the patient requires immediate attention. The alert message is sent to the close relatives like guardians of the patient and to an ambulance in worst case scenarios. The alert messages are done to improve the patient’s experience. Our system not only provides alert messages but can also provide dietary plans for the patients, amount of insulin to be taken. The tests have shown that our system can provide a better assistance to the patients suffering from diabetes. |
| Keywords: | Non Invasive, Insulin, GSM Module |
| Cite Article: | "A Modular approach to diabetic examination with alert system based on IoT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 5, page no.515 - 517, May-2017, Available :http://www.ijsdr.org/papers/IJSDR1705090.pdf |
| Downloads: | 000223232 |
| Publication Details: | Published Paper ID: IJSDR1705090 Registration ID:170456 Published In: Volume 2 Issue 5, May-2017 DOI (Digital Object Identifier): Page No: 515 - 517 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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