Hemoglobin Measurement Monitoring Tool Using K-Nearest Neighbor (KNN) Algorithm Based On Internet Of Things (IOT)

DOI

10.2991/aer.k.201221.073How to use a DOI?

Keywords

Hemoglobin, SpO2, Internet of Things, K-Nearest Neighbor Algorithm, Quality of Service

Abstract

Hemoglobin is a protein in red blood cells that functions as an oxygen-binding agent and also circulates to all organs and tissues of the human body. Changes in hemoglobin levels, both low and high, can indicate health problems. Checking hemoglobin levels in the human body is usually done medically by taking blood samples that are injuring the patient or often called invasive. Therefore, a non-invasive method is made, which is a monitoring tool for measuring hemoglobin using the K-Nearest Neighbor algorithm based on the Internet of Things. Internet of Things (IoT) is a promising paradigm to provide massive wireless connections in future communications. One main feature of IoT is short packet communication (SPC), which adopts finite block-length codewords for data transmissions. Different from the long packet transmission in conventional wireless networks, from the test results, it can be seen that the monitoring tool is connected to Cloud Thingspeak, the prediction process of the algorithm in python programming to the android application that runs well. The input value of Oxygen Saturation (SpO2) is carried out by the KNN algorithm processing where this algorithm is one of the Machine Learning algorithms used to predict an output value so that an average accuracy of 93.481133% at k = 2 is obtained. Quality of Service (QoS) is quantitatively defined in terms of guarantees or bounds on certain network performance parameters. The most common performance parameters for the Internet of Things (IoT) are Delay End-to-End and Throughput. Delay End-to-End has an average value in the process of sending from monitoring tools to the Android application of 6.8 s. And the average value of throughput on NodeMCU to Cloud ThingSpeak communication is 9.98 Kbps, Cloud - Python - Cloud communication is 13.76 Kbps and communication on Cloud ThingSpeak to Android Application is 11.06 Kbps.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Faris Hadianto
AU  - Rendy Munadi
AU  - Sussi
AU  - Arief Pambudi
PY  - 2020
DA  - 2020/12/22
TI  - Hemoglobin Measurement Monitoring Tool Using K-Nearest Neighbor (KNN) Algorithm Based On Internet Of Things (IOT)
BT  - Proceedings of the International Seminar of Science and Applied Technology (ISSAT 2020)
PB  - Atlantis Press
SP  - 445
EP  - 450
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.201221.073
DO  - 10.2991/aer.k.201221.073
ID  - Hadianto2020
ER  -