Artificial intelligence driven wireless network remote monitoring based on Diffie–Hellman parameter method

Zhou, Junyan

doi:10.1016/j.comcom.2020.05.047

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…The direct method uses electrodes to insert the fetus's scalp to obtain the fetal bioelectric signal. This method has the highest accuracy rate, but an invasive measurement method has a certain risk to the fetus [ 6 ]. The indirect method uses multiple electrodes attached to the mother's abdomen to obtain the weak ECG signal of the fetus in the womb.…”

Section: Related Workmentioning

confidence: 99%

Application and Clinical Analysis of Remote Fetal Heart Rate Monitoring Platform in Continuous Fetal Heart Rate Monitoring Images

Xuan

Zhang

2021

Journal of Healthcare Engineering

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Fetal heart sound is an important part of fetal monitoring and has attracted extensive research and attention from scholars at home and abroad in recent years. The fetal heart rate, extracted from the fetal heart sound signal, is one of the important indicators that reflect the health of the fetus in the womb. In this study, a maternal-fetal Holter monitor based on f ECG technology was used to collect maternal heart rate, fetal heart rate, and uterine contractions signals, isolate the fetal heart rate, and design an algorithm to extract the fetal heart rate baseline, acceleration, variation, wake-up cycle, and nonlinear parameters. Using statistical methods to analyze the average value and range of various characteristic parameters of fetal heart rate under continuous long-term monitoring, the results show that the baseline has a downward trend from 10 o’clock in the night to 4 o’clock in the morning and is the lowest around 2 o’clock in the morning. The area and acceleration time were significantly higher than those in the suspicious group. However, there was no significant difference in the number of acceleration values between the two groups; the proportion of small mutations in the normal group was lower than that of the suspicious group and the proportion of medium mutations was higher than that of the suspicious group. There is no statistically significant difference in maternal age, gestational age at childbirth, pregnancy comorbidities, and complication rates in the five-level interpretation system of ACOG (2009), RCOG (2007), SOGC (2007), and the United States (2007). The difference of pregnancy and parity in various images was statistically significant, P < 0.05. The second type of fetal heart rate monitoring images appeared in the highest among the diagnostic standards, and the difference in the second type of fetal heart rate monitoring images between the various diagnostic standards was statistically significant, P ≤ 0.001.

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Section: Related Workmentioning

confidence: 99%

Application and Clinical Analysis of Remote Fetal Heart Rate Monitoring Platform in Continuous Fetal Heart Rate Monitoring Images

Xuan

Zhang

2021

Journal of Healthcare Engineering

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“…e 2D DCT can be represented by the matrix as shown in equation (2). Figuratively speaking, it is to figure out which 2D cosine waves constitute the image.…”

Section: D Dct Approachmentioning

confidence: 99%

“…Wireless network monitoring transmits high-definition video streaming in real time to facilitate feedback timely [2].…”

Section: Introductionmentioning

confidence: 99%

Improving the Quality of Left-Behind Children’s Participation in Sports through Wireless Network Monitoring

Zhao

2021

Mobile Information Systems

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Urbanization is the process that people shift from rural to urban areas, which has led to large numbers of left-behind children in China. The left-behind children stay in rural regions of China while their parents work in urban areas. The left-behind children have few opportunities to participate in sports due to the lacking of concern, and it is not of high quality even though they participate in sports. Therefore, it is necessary to improve the quality of left-behind children's sports participation through wireless network monitoring. Wireless network monitoring transmits high-definition (HD) video streaming in real time to facilitate feedback timely. This paper studies the two-dimensional (2D) integer discrete cosine transform (DCT) and analyzes the reason for image distortion, then an improved DCT coefficient quantization approach is proposed for long-distance real-time transmission of HD video streaming, and a noise processing with a zero-mean noise processing is added in optimized approach to solve the image distortion problem. The experimental results show that the proposed improved approach has a good performance in reducing the blocking artifacts, and within the image reconstruction, the proposed approach improves the subjective video quality.

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“…The video is captured and transmitted by camera, and then it is displayed in a browser by ActiveX control. Then, the linkage coordinate system of wireless network remote monitoring is established by the DH parameter method to realize intelligent control of a wireless network [6]. The above methods applied to human body monitoring and data collection are sensor-based data collection and are not applied to blockchain technology.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Acquisition of Human Motion Parameters Based on Blockchain

Peng¹,

Liu

2021

Journal of Sensors

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With the rapid development of intelligent technology, people’s lives have gradually entered the era of information and intelligence. Traditional vision-based and sensor-based human motion detection methods have shortcomings such as high illumination requirements, difficulty in preserving privacy, and poor portability. The wireless sensor detection method based on a wireless network can overcome the shortcomings of these methods, so it has become a hot research direction. Human motion parameters are very important data. If leaked, it may cause unimaginable harm to individuals. Blockchain technology is an emerging technology in the field of information technology. Its decentralized nature, distributed storage, and data is not easy. The modification provides a feasible solution for us to realize the data upload. Combining the advantages of wireless sensing and blockchain technology, this paper proposes a method of wireless sensing collection of human motion parameters based on blockchain, and designs a human motion recognition system. The experiment found that under the experiments given in this article, the traditional accuracy rate of sensor data collection is 71.82%, and the accuracy rate of the wireless sensing collection method of human motion parameters based on the blockchain in this article has reached 95.31%, which verifies the effectiveness and superiority of the system designed in this article.

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Artificial intelligence driven wireless network remote monitoring based on Diffie–Hellman parameter method

Cited by 10 publications

References 14 publications

Application and Clinical Analysis of Remote Fetal Heart Rate Monitoring Platform in Continuous Fetal Heart Rate Monitoring Images

Application and Clinical Analysis of Remote Fetal Heart Rate Monitoring Platform in Continuous Fetal Heart Rate Monitoring Images

Improving the Quality of Left-Behind Children’s Participation in Sports through Wireless Network Monitoring

Wireless Sensor Acquisition of Human Motion Parameters Based on Blockchain

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