TY - JOUR
T1 - Self-detection System for Type 2 Diabetes Mellitus by Aspiration of the Patient's Urinalysis
AU - Meneses-Claudio, Brian
AU - Meneses-Claudio, Jean
AU - Vicuña-Ramirez, Milagros
AU - Uribe-Hernández, Yrene
AU - Saberbein-Muñoz, Juan
AU - Salinas-Cruz, Maria
AU - Yauri-Machaca, Melissa
N1 - Publisher Copyright:
© 2023 Auricle Global Society of Education and Research. All rights reserved.
PY - 2023/4
Y1 - 2023/4
N2 - Diabetes mellitus is a very silent disease, which, according to various studies, has been growing every year, among them are patients with type 2 diabetes mellitus that is characterized by why they do not produce enough insulin in their body, causing them to inject insulin in an uncontrolled way, caused discomfort by the number of times they inject. Some patients do not know if they have type 2 diabetes, and over time several inefficient and expensive diabetes screening systems have been developed, limiting their use by everyone. Similarly, if this disease is not detected in time, it can compromise other parts of the body so it is always necessary to control your eating habit, on the other hand, this type 2 disease can be detected in fasting of the patient. According to the problem exposed, in this research a self detection system of type 2 diabetes mellitus was carried out by aspirating a urinalysis to detect through the sweet smell of urine if the patient may have type 2 diabetes mellitus by means of gas sensors and carbon nanotubes fused by a microcontroller. Through the operation of the system, it was observed that the tests were performed with an efficiency of 98.99%, being an accepted value for a reliable and safe diabetes analysis, demonstrating that it can detect type 2 diabetes mellitus by asp hating the smell of urine.
AB - Diabetes mellitus is a very silent disease, which, according to various studies, has been growing every year, among them are patients with type 2 diabetes mellitus that is characterized by why they do not produce enough insulin in their body, causing them to inject insulin in an uncontrolled way, caused discomfort by the number of times they inject. Some patients do not know if they have type 2 diabetes, and over time several inefficient and expensive diabetes screening systems have been developed, limiting their use by everyone. Similarly, if this disease is not detected in time, it can compromise other parts of the body so it is always necessary to control your eating habit, on the other hand, this type 2 disease can be detected in fasting of the patient. According to the problem exposed, in this research a self detection system of type 2 diabetes mellitus was carried out by aspirating a urinalysis to detect through the sweet smell of urine if the patient may have type 2 diabetes mellitus by means of gas sensors and carbon nanotubes fused by a microcontroller. Through the operation of the system, it was observed that the tests were performed with an efficiency of 98.99%, being an accepted value for a reliable and safe diabetes analysis, demonstrating that it can detect type 2 diabetes mellitus by asp hating the smell of urine.
KW - Diabetes mellitus
KW - Gas sensors
KW - Microcontroller
KW - Urinalysis
UR - http://www.scopus.com/inward/record.url?scp=85163607482&partnerID=8YFLogxK
U2 - 10.17762/ijritcc.v11i4.6379
DO - 10.17762/ijritcc.v11i4.6379
M3 - Article
AN - SCOPUS:85163607482
SN - 2321-8169
VL - 11
SP - 42
EP - 46
JO - International Journal on Recent and Innovation Trends in Computing and Communication
JF - International Journal on Recent and Innovation Trends in Computing and Communication
IS - 4
ER -