Application of Intelligent Nursing Information System in Emergency Nursing Management

Li, Qing; Chen, Yujie

doi:10.1155/2021/3998830

Cited by 11 publications

(8 citation statements)

References 20 publications

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“…technology refers to a technology that collects several important information and data in an organized manner within a computer network and interprets and analyzes them according to certain requirements and standards [14]. Trough such technology, the abnormal factors or the factors that violate the safety management rules and regulations established by the system are monitored and identifed.…”

Section: Intrusion Detection Technology Intrusion Detectionmentioning

confidence: 99%

Computer Network Information Security Monitoring System Based on Big Data Era

Sun¹,

Liu²,

Shen³

2022

Security and Communication Networks

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With the rapid advancement of society and the level of programming and the rapid development of computer technology, networking and information are playing an increasingly important role in the social life of the masses. Creating and developing a network information security monitoring system have become one of the most important ways to keep a computer running smoothly. Traditional information security systems cannot adapt to the ever-changing network environment. If only relying on it to maintain network security, it will be far from effective monitoring and defense. Based on the theory of network information security, this study analyzes the characteristics of network information and the information security monitoring technology at the current stage. Based on the background of big data era, a new type of computer network information security monitoring system is proposed. This system is compared with the traditional network information security monitoring system, and the performance and stability of the system are investigated, respectively. The experimental data show that the network information security monitoring system designed in this study can achieve more than 99% detection rate of external attacks in a network environment with a background traffic of 10M. Its false alarm rate is lower than 4%, and the false alarm rate is lower than 7%. The qualitative mean reaches 93.02%, indicating its good monitoring accuracy and stability. By popularizing it in the current network environment, it can effectively identify and defend information attacks and maintain the development of network information security.

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Section: Intrusion Detection Technology Intrusion Detectionmentioning

confidence: 99%

Computer Network Information Security Monitoring System Based on Big Data Era

Sun¹,

Liu²,

Shen³

2022

Security and Communication Networks

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“…The rhythmic body vibration caused by breathing can also be reflected on the optical fiber sensor, so the breathing rate can be measured at the same time during BCG detection, and it does not bring any trouble to the subject. The most common vital sign monitoring tools in the medical field mostly use electrical sensors, which are vulnerable to electromagnetic interference [ 14 ]. Lai et al designed a sleep quality monitoring system based on fiber Bragg grating (FBG), which transformed the pressure into wavelength drift to form a sensor network and realized the real-time monitoring function of sleep position and turn times per unit time [ 15 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Intelligent Vital Sign Monitoring System on Postoperative Nursing Care of Severe Patients

Zhang

Liu

2021

Contrast Media & Molecular Imaging

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In order to study the observation of postoperative vital sign data of critically ill patients, this paper developed a set of vital sign data acquisition system based on intelligence and realized the design of vital sign data acquisition system APP based on Android Studio programming software, which was used to realize the information collection of vital sign data of patients. PDA is connected with a vital sign measuring equipment through Bluetooth. The patient’s wristband is scanned with PDA to read the patient’s information, and then the measured vital sign data are obtained automatically by measuring APP. The initial alarm value is set to be greater than 1%, and it needs more than 60 and less than or equal to 120 RR interval data to judge apnea. Information collection of intelligent vital sign detection can not only save the time of nursing staff but also improve the nursing quality.

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“…One is the method using handcrafted features. Such methods often use artificial features to represent events, such as object trajectory features [7][8][9][10], spatiotemporal gradients [11][12][13], optical flow histograms [14][15][16][17], and dynamic blending textures [18][19][20][21]. After obtaining the features representing events in this type of method, the next step is to use common machine learning models such as support vector machines (SVM) and Gaussian process models to build anomaly detection models.…”

Section: Introductionmentioning

confidence: 99%

Design of Intelligent Nursing System Based on Artificial Intelligence

2022

Journal of Sensors

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As the number of the elderly population and the population dependency ratio increase year by year, the issue of old-age care has become the focus. However, due to the shortage of carers and the large-scale and expensive auxiliary equipment for the elderly, it is difficult to give thoughtful care to all the elderly. In view of the above background, this paper designs a set of intelligent nursing system for the elderly based on artificial intelligence (AI) algorithms, which mainly includes sensor terminals and AI processing algorithms. Among them, the sensor terminal mainly includes two parts: video monitoring and human biological signal monitoring. For video surveillance signals, this paper uses scene event detection algorithm to detect abnormal events, so as to automatically perceive possible unexpected situations. For human biological signals, such as heart rate, blood pressure, and pulse, the abnormal detection is carried out through data analysis and comparison with the normal index range. So, the possible problems in the physical state of the elderly can be judged in time. Through more comprehensive state monitoring and reliable algorithm processing, the system can effectively solve many hidden dangers in the current elderly care and provide a feasible solution for smart nursing.

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Application of Intelligent Nursing Information System in Emergency Nursing Management

Cited by 11 publications

References 20 publications

Computer Network Information Security Monitoring System Based on Big Data Era

Computer Network Information Security Monitoring System Based on Big Data Era

Effect of Intelligent Vital Sign Monitoring System on Postoperative Nursing Care of Severe Patients

Design of Intelligent Nursing System Based on Artificial Intelligence

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