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13 results on '"Han, Renjie"'

9. Effects of Different Durations and Frequencies of Vestibular Rehabilitation in Patients With Residual Symptoms After Benign Paroxysmal Positional Vertigo Repositioning.

Author

Cui, Qingjia, Wen, Cheng, Yan, Jin, Wang, Rui, Han, Renjie, and Huang, Lihui

Subjects
DIZZINESS, TIME, TREATMENT duration, VESTIBULAR apparatus diseases, TREATMENT effectiveness, COMPARATIVE studies, BENIGN paroxysmal positional vertigo, QUESTIONNAIRES, RESEARCH funding, EMOTIONS, PATIENT positioning, LONGITUDINAL method, EVALUATION
Abstract

Objectives: This study aimed to explore the effects of different duration and daily frequency of vestibular rehabilitation (VR) in patients with residual symptoms after benign paroxysmal positional vertigo (BPPV) successful repositioning. Method: Patients with successful BPPV repositioning (n = 118) were divided into 3 groups according to VR duration and frequency: group A (n = 30; 15 minutes, 3 times/day), group B (n = 30; 30 minutes, 3 times/day), group C (n = 28; 15 minutes, 6 times/day), and control group D (n = 30; no VR). All patients completed the dizziness handicap inventory (DHI) and vestibular rehabilitation benefit questionnaire (VRBQ) at baseline and after 2 and 4 weeks. Results: The emotional scores and the proportion of severe dizziness disability in the DHI scores were significant differences between VR groups A to C and control group D after 2 and 4 weeks (all P <.05). There were significant differences in total DHI and VRBQ scores among the VR groups A to C after 2 and 4 weeks (all P <.05). Interestingly, emotion scores were not significantly different in group A (P =.385), group B (P =.569), and group C (P =.340) between 2 and 4 weeks. Meanwhile at 2 weeks, the difference in motion-provoked dizziness score between group A and B was statistically significant (P =.02). Conclusions: A total VR duration over 4 weeks can reduce dizziness and improve VR benefits in routine therapy in patients with residual dizziness after successful BPPV repositioning. Emotional improvement can be observed after 2 weeks. VR may help to relieve motion-provoked dizziness earlier if patients are willing to consider increasing the duration to more than 15 minutes. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Sensor deviation anomaly trend prediction based on phase space reconstruction and Support Vector Regression

Author

Han Renjie, Li Yujie, and Song Dong

Subjects
History, Artificial neural network, Computer science, Anomaly (natural sciences), computer.software_genre, Computer Science Applications, Education, Support vector machine, Safeguard, Trend prediction, Phase space, Prediction methods, Data mining, Time series, computer
Abstract

Ship combat systems are developing in the direction of integration and intelligence, and the integration also brings problems such as difficulty in predicting abnormal sensor trends in combat systems. The failure characteristics of sensors in combat systems are highly secretive, and it is difficult to detect and deal with system equipment failures by relying on empirical qualitative or single-indicator testing methods. In order to safeguard the ship’s combat capability and make reasonable maintenance decisions, it is important to study more accurate prediction methods. This article proposes a method for predicting sensor deviation anomaly trends based on phase space reconstruction and Support Vector Regression(SVR), taking sensors in naval combat systems as typical research objects. Firstly, a phase space reconstruction is performed on the sensor deviation time series data to increase the accuracy of subsequent prediction; then a SVR prediction model is built, and the model is trained and optimised using the reconstructed data; finally, the constructed prediction model is compared with the regular SVR model and BP neural network model to verify that the constructed model has higher prediction accuracy.

Published
2021

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