학술논문

A New IoT Patient Monitoring System for Hemodialysis Treatment
Document Type
Conference
Source
2019 IEEE Conference on Open Systems (ICOS) Open Systems (ICOS), 2019 IEEE Conference on. :46-50 Nov, 2019
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Dialysis
MCU Arduino
Raspberry Pi
patient wellbeing
monitoring system
Language
ISSN
2473-3660
Abstract
Ominously, end stage renal disease (ESRD) became a more frequent disease. Dialysis process acts as kidney and perform the diffusion proses to remove the accumulated metabolic waste products and ultrafiltration process that remove the excess fluids from the body. The dialysis process is unfortunately the life-prolonging treatment for this illness to enable the patient lives their normal life. However, it is quite a difficult and tiring process for patients when it comes to maintain their health to be optimal condition in between the dialysis scheduled days. The kidney works 24 hours performing diffusion and ultrafiltration process throughout a day to keep our body clean and stabile. The dialysis is a pre scheduled process that patient enrol for normally 4 hours every alternate days. The frequency could increase if there is a need or emergency condition. The patient if does not control their water intake could lead to water retention where their heart need to work hard and cause the patient to feel fatigue, difficulty to sleep and induce cough. Since the ESRD patient will less urinate, the water drank will stay on the blood and cause bloated feeling and lead to heart pulse rate and blood pressure increase. Monitoring the physiological parameters for ESRD facing a huge lack, if not a total absence. Systems that able to monitor the well-being of patients and informing the precautions and the solutions to be adapted. This project consists of designing a circuit and integration of pulse and infrared temperature sensors using MCU Arduino and Raspberry Pi for data storage and management, allowing the patients to record those parameters by themselves. This study suggests a new system as a solution for the monitoring and control of the users regarding their health major information and simultaneously send it to their doctors. The recorded information will be stored in a unique database enabling the admin and the patients to monitor and consult their own health parameters in a webpage. The purpose of this study is to develop a new system to control and ease the dialysis mechanism and ensure the patient wellbeing.