Design and Implementation of Wearable Artificial Kidney Telemonitoring System

Abstract

Designing, producing, and implementing biosensors and monitoring vital signals is one of the necessities of today’s technologies. In this article, a special monitoring module with a rechargeable battery power source and a software-based expandable platform on the web server for displaying and monitoring the Wearable Artificial Kidney (WAK) signals graphically, is presented. The proposed system, monitors and controls the performance of the device remotely, and it provides a reduction in costs and time savings. By implementing a hardware module, the vital and control signals are received from WAK sensors and using the Hypertext Transfer Protocol (HTTP) and Message Queuing Telemetry Transport (MQTT) protocol are sent. The proposed module can send the data by WIFI and GSM/GPRS. The desired module, while controlling WAK remotely, is equipped with a GPS that controls the geographic location of patients. To reduce the power consumption of this battery-powered module, it sends the location in a part-time performance cycle. The proposed method, utilized artificial intelligence (AI) algorithm, to monitor the performance of the WAK and provide suitable control according to each patient’s condition. Also, the AI algorithm utilizes the significant measured parameters of the sensors such as blood leakage and air bubble detectors, access, return, pre-filter and ultra-filter pressures, temperature, pump status, and battery level, leading to early detection and interventions to avoid hospitalizations that facilitate the management and increase the quality of the dialysis patients.