scholarly journals Performance Evaluation of IoT-based SpO2 Monitoring Systems for COVID-19 Patients

Author(s):  
Trie Maya Kadarina ◽  
Rinto Priambodo

Internet of Things (IoT) applications can be used in healthcare services to monitor patients remotely. One implementation is that it is used to monitor COVID-19 patients. During the COVID-19 pandemic, people who are infected without symptoms must self-isolate so that the virus does not spread. Measurement of blood oxygen levels or SpO2 is one of the measurements that must be carried out in routine examination procedures for self-isolating patients for early detection of silent hypoxemia in COVID-19 patients. Previous research has developed an IoT-based health monitoring system with a Wireless Body Sensor Network (WBSN) and a gateway that can be used for data acquisition and transmission. The system uses a home pulse oximeter to measure SpO2 and heart rate and an Android application that functions as an IoT gateway to collect data from sensors and add location information before sending data to the server. The WBSN has been successfully integrated with two types of open source IoT platforms, namely ThingsBoard and Elasticsearch Logstash Kibana (ELK). However, it is necessary to carry out further studies on analytical and experimental performance tests of the two systems. Therefore, the purpose of this study is to develop a performance evaluation of the IoT-based SpO2 monitoring systems using the Thingsboard and ELK as IoT platforms. To evaluate the performace we ran the monitoring system on both platforms using pulse oximeter and Android device as IoT gateway with HTTP and MQTT as transport protocol for sending the data to the server. From this study we found that average time of message delivery in ELK compared to ThingsBoard using the same protocols was higher but stable.

In the present work, we have designed a health monitoring system based on Node MCU to monitor temperature, heart rate and oxygen saturation level (SpO2) signals, sensed by respective sensors. The necessary signal conditioning circuits have been designed in our laboratory using off-the shelf electronic components. A Data acquisition system has been designed using ESP 32 Node MCU. The designed system is a low-cost alternative to the commercially available USB controller based health monitoring systems. Firmware has been developed and deployed into the Node MCU using arduino IDE. The acquired data has been displayed on OLED display. The result shows maximum errors in the measured parameters within 2%. The designed system helps to achieve portability, high functionality and low cost which makes it an easy accessible tool for public, hospital, sports healthcare and other medical purposes.


2011 ◽  
Vol 378-379 ◽  
pp. 328-331
Author(s):  
Ling Luo ◽  
Hong Luo ◽  
Bai Song Du

In the companion paper, a new health monitoring system with five sub-systems is proposed for cable-stayed bridges. In this paper, for a health monitoring system of the cable-stayed bridge, it is classified four levels as excellent, good, fair, and poor base on the function of the system at the first time. The monitoring systems of the second Wujiang Bridge, a cable-stayed bridge with a low tower and a high tower, and the Shibangou Yangtze River Bridge, a cable-stayed bridge with regular double towers, are employed as two examples to narrate the determination of the monitoring parameters, monitoring contents and methods, the principles of the positions of measuring points, and evaluation of the system grade. The health monitoring system for the cable-stayed bridge sets up a good example for other types of bridges and has a reference value for the development of the bridge health monitoring systems.


2018 ◽  
Vol 7 (1.7) ◽  
pp. 175 ◽  
Author(s):  
M Sathya ◽  
S Madhan ◽  
K Jayanthi

Among the applications that Internet of Things (IoT) facilitated to the world, Healthcare applications are most important. In general, IoT has been widely used to interconnect the advanced medical resources and to offer smart and effective healthcare services to the people.  The advanced sensors can be either worn or be embedded into the body of the patients, so as to continously monitor their health. The information collected in such manner, can be analzed, aggregated and mined to do the early prediction of diseases.  The processing algorithms assist the physicians for the personalization of treatment and it helps to make the health care economical, at the same time, with improved outcomes. Also, in this paper, we highlight the challenges in the implementation of IoT health monitoring system in real world.


Author(s):  
Antonio J. Seijas ◽  
Julian J. Bedoya ◽  
Alex P. Stoller ◽  
Oscar A. Perez ◽  
Luis M. Marcano

The reliability of coke drums has become a central theme to many refineries worldwide as high value products are recovered from refinery residuum. The severe thermal gradients inherent in the coking process have led to ever more frequent failures from cracks in bulges, skirts and cones, which reduce productivity and jeopardize the safe and reliable operation of coke drums. An intrinsically-safe coke drum health monitoring system rated for operation in hazardous environments, consisting of high temperature strain gauges and thermocouples was installed on a coke drum at a refinery in the United States. Specific locations identified as high risk areas through a combination of engineering analyses, inspections and historical repairs were targeted for monitoring. The health monitoring system calculates the cumulative damage and damage rates at critical locations through the quantification of thermal transient gradients and measured strains, and analyzes the trends over time. Of particular interest are two high damage events recorded with the health monitoring system that closely preceded the propagation of a through wall crack, approximately one week after the events. This paper performed a post-mortem analysis of the event, and shows how the data obtained via health monitoring systems can be used for prioritizing inspections and the potential for anticipation of failures. By analyzing damage accumulation trends from specific operational practices, the impacts of process changes on the expected life of the coke drum can be assessed. Finally, a detailed review of the maintenance and inspection records, results of the on-line Non-Destructive Examination (NDE), laser mapping, and bulged severity assessment were used to prepare a detailed inspection and repair plan for a forthcoming turnaround. The damage accumulation trends captured with an Equipment Health Monitoring System (EHMS) were used to optimize operating parameters of the coke drums referred to in this paper. This together with the execution of detailed inspection plan and comprehensive repairs are allowing a safe and reliable operation of these drums.


2018 ◽  
Vol 18 (5-6) ◽  
pp. 1778-1788 ◽  
Author(s):  
Christoph P Dienel ◽  
Hendrik Meyer ◽  
Malte Werwer ◽  
Christian Willberg

Current design rules are analyzed and challenged by considering better damage-detection capabilities offered by structure health monitoring systems. The weight-saving potential associated to the integration of such sensing systems is discussed with regards to structural and structure health monitoring system design. Three prospective scenarios are analyzed and considered in a specific use case. According to the most promising scenario (i.e. robust detectability of damages larger than 300 mm2), structural weight reductions of approximately 9% can be achieved. Considering the weight added by the structure health monitoring system, effective weight savings in the order of 5% are achievable. Although this potential is rather modest, applying structure health monitoring systems on structures mainly driven by the damage tolerance criterion is expected to provide reductions far beyond 5%.


2012 ◽  
Vol 8 (10) ◽  
pp. 641391 ◽  
Author(s):  
Jong-Han Lee ◽  
Ji-Eun Jung ◽  
Nam-Gyu Kim ◽  
Byung-Hun Song

Energy and power industrial plants need to improve the health monitoring systems of their facilities, particularly high-risk facilities. This need has created a demand for wireless sensor networks (WSNs). However, for the application of WSN technology in large-scale industrial plants, issues of reliability and security should be fully addressed, and an industrial sensor network standard that mitigatesthe problem of compatibilitywith legacy equipment and systems should be established. To fulfill these requirements, this study proposes a health monitoring system of the pipe-rack structure using ISA100.11a standard. We constructed the system, which consists of field nodes, a network gateway, and a control server, and tested its operation at a large-scale petrochemical plant. The data obtained from WSN-based sensors show that the proposed system can constantly monitor and evaluate the condition of the pipe-rack structure and provide more efficient risk management.


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