Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System

2021 ◽  
Author(s):  
Amit Kishor ◽  
Chinmay Chakraborty
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Monitoring System

Design of industrial internet of things system based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-11
Author(s):  
Xu Kun ◽  
Zhiliang Wang ◽  
Ziang Zhou ◽  
Wang Qi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Industrial Equipment ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Test Platform ◽  
Artificial Intelligence Technology

For industrial production, the traditional manual on-site monitoring method is far from meeting production needs, so it is imperative to establish a remote monitoring system for equipment. Based on machine learning algorithms, this paper combines artificial intelligence technology and Internet of Things technology to build an efficient, fast, and accurate industrial equipment monitoring system. Moreover, in view of the characteristics of the diverse types of equipment, scattered layout, and many parameters in the manufacturing equipment as well as the complexity of the high temperature, high pressure, and chemical environment in which the equipment is located, this study designs and implements a remote monitoring and data analysis system for industrial equipment based on the Internet of Things. In addition, based on the application scenarios of the actual aeronautical weather floating platform test platform, this study combines the platform prototype system to design and implement a set of strong real-time communication test platform based on the Windows operating system. The test results show that the industrial Internet of Things system based on machine learning and artificial intelligence technology constructed in this paper has certain practicality.

scholarly journals Influence of Optimization Design Based on Artificial Intelligence and Internet of Things on the Electrocardiogram Monitoring System

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Ming Yin ◽  
Ru Tang ◽  
Miao Liu ◽  
Ke Han ◽  
Xiao Lv ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Monitoring System ◽  
Utilization Efficiency ◽  
System Stability ◽  
Operating Efficiency ◽  
Monitoring Systems ◽  
Ecg Monitoring ◽  
High Quality ◽  
Medical Resources

With the increasing emphasis on remote electrocardiogram (ECG) monitoring, a variety of wearable remote ECG monitoring systems have been developed. However, most of these systems need improvement in terms of efficiency, stability, and accuracy. In this study, the performance of an ECG monitoring system is optimized by improving various aspects of the system. These aspects include the following: the judgment, marking, and annotation of ECG reports using artificial intelligence (AI) technology; the use of Internet of Things (IoT) to connect all the devices of the system and transmit data and information; and the use of a cloud platform for the uploading, storage, calculation, and analysis of patient data. The use of AI improves the accuracy and efficiency of ECG reports and solves the problem of the shortage and uneven distribution of high-quality medical resources. IoT technology ensures the good performance of remote ECG monitoring systems in terms of instantaneity and rapidity and, thus, guarantees the maximum utilization efficiency of high-quality medical resources. Through the optimization of remote ECG monitoring systems with AI and IoT technology, the operating efficiency, accuracy of signal detection, and system stability have been greatly improved, thereby establishing an excellent health monitoring and auxiliary diagnostic platform for medical workers and patients.

scholarly journals Design of New energy ship power safety monitoring system based on Internet of things

2021 ◽  
Vol 261 ◽  
pp. 01034
Author(s):  
Yixue Wang ◽  
Zhuoer Wang ◽  
Qiang Peng
Keyword(s):  
Artificial Intelligence ◽  
Fuel Cell ◽  
Internet Of Things ◽  
Power System ◽  
Monitoring System ◽  
Safety Monitoring ◽  
Power Battery ◽  
Safety Monitoring System ◽  
New Energy ◽  
Artificial Intelligence Algorithm

With the current technology of ship power battery and alternative fuel power system gradually mature, many countries have issued relevant policies to emphasize the promotion of ship new energy, while the current domestic ship related active safety system is still in the state of low automation, low intelligence and low integration. In this regard, the project introduces artificial intelligence algorithm to design a set of new energy ship power module monitoring system for fuel cell ships and pure electric ships, which can be used for marine power battery output management and safety monitoring, mainly including hydrogen fuel cell safety monitoring system, power battery (buffer cell) safety monitoring system and power integrated safety monitoring system. This work combines embedded technology with Internet of things technology and artificial intelligence algorithm to solve the safety management problem of new energy ship power system. If it is applied to the actual ship, obvious social and economic benefits can be achieved.

Utilising internet of things and artificial intelligence to enable twin precision treatment for reversal of type 2 Diabetes

2020 ◽  
Author(s):  
Paramesh Shamanna ◽  
Suresh Damodharan ◽  
Banshi Saboo ◽  
Rajeev Chawla ◽  
Jahangir Mohammed ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Type 2 Diabetes ◽  
Internet Of Things

924-P: Pattern Mining of Trajectories of Glucose Values of Continuous Glucose Monitoring System by Artificial Intelligence in Type 2 Diabetes Patients

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 924-P
Author(s):  
MASAKI MAKINO ◽  
RYO YOSHIMOTO ◽  
MIZUHO KONDO-ANDO ◽  
YASUMASA YOSHINO ◽  
IZUMI HIRATSUKA ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Type 2 Diabetes ◽  
Monitoring System ◽  
Continuous Glucose Monitoring ◽  
Pattern Mining ◽  
Glucose Monitoring ◽  
Continuous Glucose Monitoring System ◽  
Diabetes Patients

Implementing Internet of Things in a Remote Patient Medical Monitoring System

2018 ◽  
Vol 6 (8) ◽  
pp. 159 ◽  
Author(s):  
Ifeoma V. Ngonadi
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Medical Records ◽  
Research Work ◽  
Healthcare Delivery ◽  
Vital Signs ◽  
Personal Digital Assistant ◽  
Computer Applications ◽  
Medical Monitoring ◽  
Remote Patient

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Remote patient monitoring enables the monitoring of patients’ vital signs outside the conventional clinical settings which may increase access to care and decrease healthcare delivery costs. This paper focuses on implementing internet of things in a remote patient medical monitoring system. This was achieved by writing two computer applications in java in which one simulates a mobile phone called the Intelligent Personal Digital Assistant (IPDA) which uses a data structure that includes age, smoking habits and alcohol intake to simulate readings for blood pressure, pulse rate and mean arterial pressure continuously every twenty five which it sends to the server. The second java application protects the patients’ medical records as they travel through the networks by employing a symmetric key encryption algorithm which encrypts the patients’ medical records as they are generated and can only be decrypted in the server only by authorized personnel. The result of this research work is the implementation of internet of things in a remote patient medical monitoring system where patients’ vital signs are generated and transferred to the server continuously without human intervention.

Perancangan Sistem Informasi “DIAMONS” (Diabetes Monitoring System) Berbasis Internet of Things (IoT)

2019 ◽  
Vol 6 (1) ◽  
pp. 39-51
Author(s):  
Endang Sri Rahayu ◽  
Nurul Amalia
Keyword(s):  
Internet Of Things ◽  
World Health Organization ◽  
Real Time ◽  
Monitoring System ◽  
World Health ◽  
Health Organization ◽  
Diabetes Monitoring

Diabetes merupakan penyakit “silent killer” yang ditandai dengan peningkatan kadar glukosa darahdan kegagalan sekresi insulin. World Health Organization (WHO) pada tahun 2016 menyatakanbahwa diabetes menduduki urutan ke-6 sebagai penyakit mematikan di Indonesia. Sehingga upayapencegahan dan penanganan diabetes perlu mendapat perhatian yang serius. Internet of Things (IoT)dapat dijadikan sarana penunjang dalam penanganan penyakit diabetes. Inovasi ini memungkinkanperangkat perawatan kesehatan terhubung dengan jaringan internet, sehingga data pasien dapatdiperbaharui dan diakses secara real-time. Selain mempermudah akses, penggunaan IoT juga akanmemberikan nilai tambah pada efisiensi biaya pelayanan kesehatan. Penelitian ini bertujuan untukmerancang software sistem monitoring gula darah berbasis web yang terintegrasi dengan IoT,sehingga pasien dapat melakukan pemeriksaan, konsultasi dengan dokter dan melihat data rekammedis dari jarak jauh. Data hasil pemeriksaan akan disimpan didalam cloud dan ditampilkan secaraonline. Penelitian ini menggunakan Node MCU ESP8266 sebagai mikrokontroller yang telahdilengkapi dengan modul WiFi, Thingspeak sebagai cloud, aplikasi online dengan “Diamons” sebagaidashboard yang mampu menampilkan presentasi data grafis, dibangun dengan bahasa HypertextPreprocessor (PHP) sebagai bahasa pemogramannya. Penelitian ini akan melibatkan pihak medisdalam pengambilan keputusan. Umpan balik yang diberikan kepada pasien berupa anjuran sepertiresep obat, pola makan, dan kegiatan fisik yang harus dilakukan oleh pasien.

An Implementation On Smart Dustbin Monitoring System Using Internet of Things

2020 ◽  
Author(s):  
Afrin Khan ◽  
Aniket Nishad ◽  
Anuj Verma ◽  
Diwakar Mandal ◽  
Chandan Kumar Das ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Monitoring System
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