scholarly journals Virobot the Artificial Assistant Nurse for Health Monitoring, Telemedicine and Sterilization through the Internet

2020 ◽  
Vol 10 (6) ◽  
pp. 16-26
Author(s):  
Punith Kumar M B ◽  
◽  
D Manikant Amaresh Savadatti
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Sung-Phil Heo ◽  
Suyong Jeong

The Internet of things (IoT) helps our everyday lives such as by monitoring objects and tracking behaviors in various settings, but studies on enhancing the bathroom experience are rare. This article describes full details about development and implementation of a smart health-monitoring bidet based on our study published previously in the conference. A smart bidet system is designed to monitor the users’ health through several contact-type sensors, such as pressure, oxygen, and thermometer. The system is equipped with a built-in artificial intelligence software platform and is designed to detect anal and spinal diseases. The attached sensors normally operate under waterproof conditions: we tested their performances under X6 international protection marking conditions. These devices were designed to operate properly even in extremely waterproof conditions. The temperature, pressure, and oxygen sensors of the bidet system had error rates of about 4.1, 0.6, and 1.1 percent, respectively.


Author(s):  
Sowmya G

Abstract: The increased use of smart phones and smart devices in the health zone has brought on extraordinary effect on the world’s critical care. The Internet of things is progressively permitting to coordinate sensors fit for associating with the Internet and give data on the health condition of patients. These technologies create an amazing change in medicinal services during pandemics. Likewise, many users are beneficiaries of the M-Health (Mobile Health) applications and E-Health (social insurance upheld by ICT) to enhance, help and assist continuously to specialists who help. The main aim of this ‘IOT Health Monitoring System’ is to build up a system fit for observing vital body signs such as body temperature, heart rate, pulse oximetry etc. The System is additionally equipped measuring Room Temperature and Humidity and Atmosphere CO level. To accomplish this, the system involves many sensors to display vital signs that can be interfaced to the doctor’s smart phone as well as caretakers’ smartphone. This prototype will upload the readings from the sensor to a server remotely and the information gathered will be accessible for analysis progressively. It has the capacity of reading and transmitting vital parameters measured to the cloud server and then to any Smartphone configured with Blynk App. These readings can be utilized to recognize the health state of the patient and necessary actions can be taken if the vital parameters are not in prescribed limits for a longer period. Keywords: IOT Health Monitoring System, Vital parameters, Blynk App


Author(s):  
Rohayati Rohayati

The e-health is information technology in the health systems that can be used by both health workers and clients. Ehealth applications can be based on computers, the internet or smartphones. This study aims to discuss the types of e-health that can be used for health monitoring using smartphones in community setting. Data collection was carried out through electronic database, namely EBSCO, Proquest, Sciencedirect, Scopus, Springerlink and Google Scholar. The e-health that can be used to carry out health promotion and monitor the health status of clients was remote mobile health monitoring. This application was integrated with the internet and smartphone so that clients and health workers can monitor the development of the client's health status. The application that can be used to document medical history was a personal health record both internet and computer integrated so that it can be accessed by clients. Community nurses and primary care institutions are expected to be able to design and use this application to monitor and record the health status of clients in the community. Keywords: e-health in community; smartphone; personal health records ABSTRAK Teknologi e-health merupakan teknologi informasi di bidang kesehatan yang dapat digunakan baik oleh petugas kesehatan maupun klien. Aplikasi e-health dapat berbasis komputer, internet maupun smartphone. Studi ini bertujuan untuk membahas jenis-jenis e-health yang dapat digunakan untuk monitoring kesehatan menggunakan smartphone. Pengumpulan data dilakukan melalui telaah literatur jurnal elektronik yaitu EBSCO, Proquest, Science direct, Scopus, Springerlink dan Google Scholar. Teknologi e-health yang dapat digunakan untuk melakukan promosi kesehatan, memonitor status kesehatan klien adalah remote mobile health monitoring. Aplikasi ini terintegrasi dengan internet dan smartphone sehingga klien dan petugas kesehatan dapat memonitor perkembangan status kesehatan klien dimanapun berada. Aplikasi yang dapat digunakan untuk melakukan dokumentasi riwayat kesehatan adalah personal health record baik terintegrasi internet maupun komputer sehingga dapat diakses oleh klien. Perawat komunitas dan institusi pelayanan primer diharapkan dapat merancang dan menggunakan aplikasi ini untuk memonitor dan mencatat status kesehatan klien di masyarakat. Kata kunci: e-health di komunitas; smartphone; personal health records


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Lei Ru ◽  
Bin Zhang ◽  
Jing Duan ◽  
Guo Ru ◽  
Ashutosh Sharma ◽  
...  

The technological advent in smart sensing devices and the Internet has provided practical solutions in various sectors of networking, public and private sector industries, and government organizations worldwide. This study intends to combine the Internet of Things (IoT) technology with health monitoring to make it personalized and timely through allowing the interconnection between the devices. This work is aimed at exploring various wearable health monitoring modules that people wear to monitor heart rate, blood pressure, pulse, body temperature, and physiological information. The information is acquired using the wireless sensor to create a health monitoring system. The data is integrated using the Internet of Things for processing, connecting, and computing to achieve real-time monitoring. The temperature of three people measured by the temperature thermometer is 36.4, 36.7, and 36.5 (°C), respectively, and the average acquired by the monitoring system of the three people is 36.5, 36.4, and 36.5 (°C), respectively, indicating that the system demonstrated relatively accurate and stable testability. The user’s ECG is displayed clearly and conveniently using the ECG acquisition system. The pulse rate of the three people tested by the system is 78, 78, and 79 (times/min), respectively, similar to the medical pulse meter results. The physiological information acquired using the semantic recognition, matching system, and character matching system is relatively accurate. It concludes that the human health monitoring system based on the Internet of Things can provide people with daily health management, instrumental in heightening health service quality and level.


2019 ◽  
Vol 8 (3) ◽  
pp. 2356-2363

Nowadays, with the quick development of internet and cloud technologies, a big number of physical objects are linked to the Internet and every day, more objects are connected to the Internet. It provides great benefits that lead to a significant improvement in the quality of our daily life. Examples include: Smart City, Smart Homes, Autonomous Driving Cars or Airplanes and Health Monitoring Systems. On the other hand, Cloud Computing provides to the IoT systems a series of services such as data computing, processing or storage, analysis and securing. It is estimated that by the year 2025, approximately trillion IoT devices will be used. As a result, a huge amount of data is going to be generated. In addition, in order to efficiently and accurately work, there are situations where IoT applications (such as Self Driving, Health Monitoring, etc.) require quick responses. In this context, the traditional Cloud Computing systems will have difficulties in handling and providing services. To balance this scenario and to overcome the drawbacks of cloud computing, a new computing model called fog computing has proposed. In this paper, a comparison between fog computing and cloud computing paradigms were performed. The scheduling task for an IoT application in a cloud-fog computing system was considered. For the simulation and evaluation purposes, the CloudAnalyst simulation toolkit was used. The obtained numerical results showed the fog computing achieves better performance and works more efficient than Cloud computing. It also reduced the response time, processing time ,and cost of transfer data to the cloud.


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