Detection of Glucose Using Non-Invasive Method and Food Analysis for Diabetic Patients Using IoT

被引:0
|
作者
Suriya, N. [1 ]
Pavithra, S. [2 ]
Solomon, K. Santhosh [1 ]
Reddy, Yaswanth [1 ]
机构
[1] Chennai Inst Technol, Dept ECE, Chennai 600069, Tamil Nadu, India
[2] Chennai Inst Technol, Dept CSE, Chennai 600069, Tamil Nadu, India
来源
关键词
DIABETES; GLUCOMETER; HEALTH MONITORING; WEARABLE SENSORS; MOBILE APPLICATION;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In current trends of smart wearables, there are lot of smart devices for healthcare systems. Among them the detection of Glucose from the patient is tested using blood sample by pricking the finger. This paper demonstrates a device to test the blood glucose level using non-invasive method of not pricking the finger. A Node MCU 32S is used as microcontroller to obtain the readings from the blood glucose detector, temperature sensor and heart rate sensor. The Glucose detector contains PIC16LF178X chip and has two electrodes to send and receive data bits. The electrodes are placed on the tongue where one electrode sends a certain bit of data. The data bits when passed through the blood in the tongue, certain amount is lost due to the presence of glucose. The remaining bits are detected at the second electrode. The difference between these values gives the amount of glucose in the blood. The temperature sensor detects body temperature. The pulse sensor detects the heart rate and blood pressure. These readings are displayed on the mobile application which is connected to the microcontroller via interne. Based on these readings, the microcontroller sends alerts in the mobile application. The dietary suggestions are given to the patient through the mobile application in order to maintain normal glucose levels and also to reduce in times of high glucose levels. A list of foods which should be taken is displayed on the mobile application
引用
收藏
页码:167 / 171
页数:5
相关论文
共 50 条
  • [31] Non-invasive Jaundice Detection using Machine Vision
    Laddi, Amit
    Kumar, Sanjeev
    Sharma, Shashi
    Kumar, Amod
    IETE JOURNAL OF RESEARCH, 2013, 59 (05) : 591 - 596
  • [32] Non-invasive Tumor Detection using NIR Light
    Lin, Yung-Chi
    Tseng, Sheng-Hao
    Chung, Pau-Choo
    Yang, Ching-Fang
    Wu, Ming-Han
    Nioka, Shoko
    Wong, Yong-Kie
    2013 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2013, : 122 - 125
  • [33] Skin cancer detection using non-invasive techniques
    Narayanamurthy, Vigneswaran
    Padmapriya, P.
    Noorasafrin, A.
    Pooja, B.
    Hema, K.
    Khan, Al'aina Yuhainis Firus
    Nithyakalyani, K.
    Samsuri, Fahmi
    RSC ADVANCES, 2018, 8 (49) : 28095 - 28130
  • [34] Analysis of Difference Light Sources for Non-Invasive Aqueous Glucose Detection
    Aziz, Nur Ain Mohd
    Arsad, Norhana
    Menon, P. Susthitha
    Laili, Abdur Rehman
    Laili, Muhamad Hafiz
    Halim, Amal Asyikin Abdul
    2014 IEEE 5TH INTERNATIONAL CONFERENCE ON PHOTONICS (ICP), 2014, : 150 - 152
  • [35] Analysis of ECG signal and Non-Invasive Blood Glucose Monitoring using Neural Networks
    Gangadhar, C. H.
    Madhav, P. Venu
    Durga, Korivi Divya Naga
    Kamaraju, Golla
    Krishna, Jayana Tanmaya Ramya
    Kowshik, Kandukuri Gagan Sai
    2024 4TH INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND SOCIAL NETWORKING, ICPCSN 2024, 2024, : 102 - 106
  • [36] Quantitative Analysis of Skin using Diffuse Reflectance for Non-invasive Pigments Detection
    Li, Shiwei
    Ardabilian, Mohsen
    Zine, Abdelmalek
    VISAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 4: VISAPP, 2021, : 604 - 614
  • [37] Detection of nocturnal hypoglycemia in children with type 1 diabetes using a non-invasive glucose monitor
    Nguyen, Hung T.
    Ghevondian, Nejhdeh
    Jones, Timothy W.
    DIABETES, 2007, 56 : A119 - A119
  • [38] Non-invasive detection of glucose in human urine using a color-generating copper NanoZyme
    Sanjana Naveen Prasad
    Pabudi Weerathunge
    Md. Nurul Karim
    Samuel Anderson
    Sabeen Hashmi
    Pyria D. Mariathomas
    Vipul Bansal
    Rajesh Ramanathan
    Analytical and Bioanalytical Chemistry, 2021, 413 : 1279 - 1291
  • [39] Design and Implementation of Non-Invasive Technique Blood Glucose and Cholesterol Detection Using Machine Learning
    Umapathi, K.
    Karthika, V
    Mathumitha, M. K.
    James, Aakash R.
    Gokul, M.
    2023 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS, ICEES, 2023, : 127 - 131
  • [40] Non-invasive detection of glucose in human urine using a color-generating copper NanoZyme
    Naveen Prasad, Sanjana
    Weerathunge, Pabudi
    Karim, Md. Nurul
    Anderson, Samuel
    Hashmi, Sabeen
    Mariathomas, Pyria D.
    Bansal, Vipul
    Ramanathan, Rajesh
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2021, 413 (05) : 1279 - 1291