scholarly journals Design for Monitoring Blood Pressure, Non-Invasive Blood Sugar, Weight, and Body Temperature Based on Internet of Things

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Nur Fariz ◽  
Jamaaluddin
Keyword(s):  
Blood Pressure ◽  
Body Weight ◽  
Body Temperature ◽  
Internet Of Things ◽  
Blood Sugar ◽  
Medical Devices ◽  
Health Conditions ◽  
The Internet ◽  
Non Invasive ◽  
The Internet Of Things

In adults to the old age, check health conditions such as blood pressure, blood s ugar levels, and others are needed regularly. Medical devices generally only be operated by doctors. Healthcare companies always develop medical devices for efficiency in use and minimize costs in manufacture. In this study, researchers made a design for monitoring blood pressure, non-invasive blood sugar, weight, and body temperature based on the Internet of Things. This tool uses NodeMCU microcontroller, which processes sensor MAX30100 and DS18B20. The MAX30100 sensor is used to detect blood pressure and blood sugar non-invasive. By put finger index on the sensor, the results will display after 20 seconds. DS18B20 sensor is used to measure realtime body temperature by clamp the sensor to the armpit.  Load Cell sensors and the HX711 module are used to measure body weight.Results on measurements on LCD 20x4 and android using the Blynk application with the internet.Test analysis with a compare of the manufacturer's standard tools. The results, accuracy of tool are 94.78% and 93,37% in the measurement systole and diastole, 93,21% in measuring blood sugar, 96,55% in measuring body temperature, and 98,27% in measuring body weight. The results on Android can  display if there is an internet or wifi connection without place restrictions.

scholarly journals Medical Device Integration Model Based on the Internet of Things

2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Medical Device ◽  
Medical Devices ◽  
Medical Information ◽  
Medical Information System ◽  
The Internet ◽  
Model Based ◽  
Device Integration ◽  
The Internet Of Things

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.

scholarly journals Prototype Sistem Monitoring Infus Berbasis IoT (Internet of Things)

2020 ◽  
Vol 4 (2) ◽  
pp. 155-163
Author(s):  
Taufik Akbar ◽  
◽  
Indra Gunawan ◽  
Keyword(s):  
Internet Of Things ◽  
Medical Devices ◽  
Science And Technology ◽  
Medical Science ◽  
The Internet ◽  
Patient Room ◽  
The World ◽  
Weight Sensor ◽  
The Internet Of Things ◽  
Control Infusion

The development of increasingly sophisticated medical science and technology has an impact on the development of science and technology in the field of medical-devices. One of the existing equipment and is often used in hospitals, one of which is an IV. Currently in the world of health, infusion is still controlled manually. Because it takes time if the nurse has to go back and forth throughout the patient room. Not only is it time consuming, but there will be risks if it is too late to treat a patient whose infusion has run out. Technology needs to be used to minimize risks in the medical world, one of which is the application of IoT technology. This study aims to make it easier for nurses to control infusion conditions in real time using the concept of IoT ( the Internet of Things). The method used is the Waterfall method. This research uses hardware consisting of Load Cell with the HX711 module as a weight sensor, NodeMCU V3 as a processor, and Thingspeak Web server as the interface with the user. The results of the measurement of the tool made have an error of 0.25 Gram, sending data to the Thingspeak.com Server requires a good connection for maximum results.

scholarly journals Developing a Smart Helmet Based on the Internet of Things to Manage Hearing Problems in the Construction Projects

2021 ◽  
Vol 26 (2) ◽  
pp. 231-250
Author(s):  
Hamidreza Abbasianja ◽  
Vahid Pourali Shadhy ◽  
Amirhassan Beykian
Keyword(s):  
Hearing Loss ◽  
Internet Of Things ◽  
Construction Projects ◽  
Working Time ◽  
Health Conditions ◽  
The Internet ◽  
Construction Sites ◽  
Innovative Idea ◽  
Hearing Health ◽  
The Internet Of Things

Construction sites are renowned as the noisiest places that may cause hearing loss to workers. Lack of awareness about the level of harmful sounds causes more prevalence of hearing loss than other industries. This article intends to solve this issue by an innovative idea that is designing a wearable device called "smart helmet" (SH). The SH uses the concept of the Internet of things (IoT) for real-time monitoring workers' hearing health in construction sites. SH works online to send notifications in the presence of harmful sounds and offline due to storing data to analyse workers' health conditions. The results are divided into two sections: The first section presents the detail of the architecture, hardware and software of the SH and the second section offers a formula to convert noisy situations into allowable working time. By combining the proposed procedure and SH's prepared data, the allowable working time can be calculated for workers. The results of applying this device in practical projects show that steelworkers are more at risk than the others with exposure to 98 dB sounds.

scholarly journals An energy-efficient fog-to-cloud Internet of Medical Things architecture

2019 ◽  
Vol 15 (5) ◽  
pp. 155014771985197 ◽  
Author(s):  
Sabeen Tahir ◽  
Sheikh Tahir Bakhsh ◽  
Maysoon Abulkhair ◽  
Madini O Alassafi
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Medical Devices ◽  
Energy Efficient ◽  
Low Cost ◽  
Vital Role ◽  
The Internet ◽  
Implanted Medical Devices ◽  
Internet Of Medical Things ◽  
The Internet Of Things

In order to increase the reliability, accuracy, and efficiency in the eHealth, Internet of Medical Things is playing a vital role. Current development in telemedicine and the Internet of Things have delivered efficient and low-cost medical devices. The Internet of Medical Things architectures being developed do not completely recognize the potential of Internet of Things. The Internet of Medical Things sensor devices have limited computation power; in case if a patient is using implanted medical devices, it is not easy to recharge or replace the devices immediately. Biosensors are small devices with limited energy if these devices do not wisely utilize the energy may drain sharply and devices become inactive. The current medical solutions place the bulk of data on cloud-based systems that ultimately creates a bottleneck. In this article, an energy-efficient fog-to-cloud Internet of Medical Things architecture is proposed to optimize energy consumption. In the proposed architecture, Bluetooth enabled biosensors are used, because Bluetooth technology is an energy efficient and also helps to enable the sleep and awake modes. The proposed fog-to-cloud Internet of Medical Things works in three different modes periodic, sleep–awake, and continue to optimize the energy consumption. The proposed technique enabled the sensing modes that gathers the patients’ data efficiently based on their health conditions. The sensed data are transmitted to the relevant fog and cloud devices for further processing. The performance of fog-to-cloud Internet of Medical Things is evaluated through simulation; the results are compared with the results of existing techniques in terms of an end-to-end delay, throughput, and energy consumption. It is analyzed that the proposed technique reduces the energy consumption between 30% and 40%.

scholarly journals A Novel Smart Healthcare Monitoring System Using Machine Learning and the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Malik Bader Alazzam ◽  
Fawaz Alassery ◽  
Ahmed Almulihi
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Blood Pressure Monitoring ◽  
Monitoring Systems ◽  
The Internet ◽  
Pressure Monitoring ◽  
Health Monitoring Systems ◽  
The Internet Of Things

The Internet of Things (IoT) has enabled the invention of smart health monitoring systems. These health monitoring systems can track a person’s mental and physical wellness. Stress, anxiety, and hypertension are key causes of many physical and mental disorders. Age-related problems such as stress, anxiety, and hypertension necessitate specific attention in this setting. Stress, anxiety, and blood pressure monitoring can prevent long-term damage by detecting problems early. This will increase the quality of life and reduce caregiver stress and healthcare costs. Determine fresh technology solutions for real-time stress, anxiety, and blood pressure monitoring using discreet wearable sensors and machine learning approaches. This study created an automated artefact detection method for BP and PPG signals. It was proposed to automatically remove outlier points generated by movement artefacts from the blood pressure signal. Next, eleven features taken from the oscillometric waveform envelope were utilised to analyse the relationship between diastolic blood pressure (SBP) and systolic blood pressure (DBP). This paper validates a proposed computational method for estimating blood pressure. The proposed architecture leverages sophisticated regression to predict systolic and diastolic blood pressure values from PPG signal characteristics.

scholarly journals Contactless Body Temperature Monitoring of In-Patient Department (IPD) Using 2.4 GHz Microwave Frequency via the Internet of Things (IoT) Network

2021 ◽  
Author(s):  
Wasana Boonsong ◽  
Narongrit Senajit ◽  
Piya Prasongchan
Keyword(s):  
Body Temperature ◽  
Internet Of Things ◽  
Microwave Frequency ◽  
Temperature Monitoring ◽  
Smart Devices ◽  
The Internet ◽  
Medical Field ◽  
Positive Correlations ◽  
The Internet Of Things ◽  
Patient Department

Abstract Since the COVID-19 situation keeps going on started from 2019. Many solutions are to against the spreading of coronavirus disease. In this work, the contactless body temperature monitoring (CBTM) of the in-patient department (IPD) is applied using a 2.4 GHz microwave band via the Internet of Things (IoT) network. The specified infrared body temperature on the MLX90614 DCI used for the medical field was selected to embed the IoT-CBTM for IPD using the IoT platform because the MLX90614 is an accurate sensor that matches to use for medical promotion. In this study, the proposed embedded IoT-CBTM has tested the accuracy compared with the manual body temperature checking device under the Thai Industrial Standard Institute (TISI). The results found that the proposed wireless IoT-CBTM prototype achieved a reliability value of 48.7 %, nearly to the expected value, with positive correlations between devices at .322*. The information data will be transferred to store at cloud internet according to the time set every hour. The intelligent applications used for receiving data are Google Sheet and line application on smart devices.

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