Proceedings of the 2021 International Conference on Intelligent Medicine and Health最新文献

An Analysis of Pain, Muscle Tension, Quality of Sleep, Satisfaction, and Comfort in Sleep on the Innovative Latex Mattress for Back Patients, Healthy, and Older and Commercial Latex Mattress 对背部患者、健康患者、老年人和商用乳胶床垫的疼痛、肌肉紧张、睡眠质量、满意度和睡眠舒适度的分析

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484395

Pattariya Intolo, Komson Plangsiri

{"title":"An Analysis of Pain, Muscle Tension, Quality of Sleep, Satisfaction, and Comfort in Sleep on the Innovative Latex Mattress for Back Patients, Healthy, and Older and Commercial Latex Mattress","authors":"Pattariya Intolo, Komson Plangsiri","doi":"10.1145/3484377.3484395","DOIUrl":"https://doi.org/10.1145/3484377.3484395","url":null,"abstract":"Mattress has been developed to improve sleep quality and reduce pain in order to bring a healthy physical and mental balance to the individual. The purpose of this study was to examine the comparison of pain, muscle tension, quality of life, satisfaction, and comfort between innovative latex mattress for back pain patients, healthy, older and latex mattress that is common sold on the market (Commercial latex mattress). One hundred twenty-four participants aged 20-80 years old were recruited into the current study. Participants were randomized to sleep on an innovative and commercial latex mattress for 30 minutes with a blinded assessor. A visual analog scale (VAS) was used to measure pain, muscle tension, quality of life, satisfaction, and comfort immediately after the sleep test was conducted. Results showed that pain after sleep reduced significantly (p>0.05) and clinically (pain reduction > 2, total pain score = 10) after sleep on the innovative mattress when compared with that of another commercial mattress. Muscle tension, quality of overall sleep. in supine, side and prone lying after the test on the innovative mattress was significantly higher (p<0.05) than commercial mattress. In the healthy group, tension, quality of sleep in overall, supine, side and prone lying after the test on the innovative mattress was significantly higher than the commercial mattress(p<0.05). In the older group, the reduction of muscular tension, quality of sleep. in side lying after the test on the innovative mattress was significantly higher (p<0.05) than the commercial mattress. We would recommend that the user consider the latex mattress with proper design and firmness to help improve their quality of sleep.","PeriodicalId":123184,"journal":{"name":"Proceedings of the 2021 International Conference on Intelligent Medicine and Health","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127083779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mapping the Intellectual Structure of Cloud Computing, Big Data and Healthcare Research 绘制云计算、大数据和医疗保健研究的知识结构

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484388

Jen-Hwa Kuo, Terry B. J. Kuo, Cheryl C. H. Yang

引用次数: 0

Report on History of FDA and NMPA and Traditional and Future Methods of Treating Cancer FDA和NMPA的历史报告以及传统和未来治疗癌症的方法

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484396

Bei Xu

引用次数: 0

Parkinson's Disease Diagnosis and Severity Prediction with Machine Learning Techniques 帕金森病的诊断和严重程度预测与机器学习技术

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484383

Deyuan Kong, Yifan Chen, Xiaorong Ding

引用次数: 0

A Machine Learning-Based Monitoring System for Attention and Stress Detection for Children with Autism Spectrum Disorders 基于机器学习的自闭症谱系障碍儿童注意力和压力检测监测系统

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484381

Lingling Deng, Prapa Rattadilok, Ruijie Xiong

{"title":"A Machine Learning-Based Monitoring System for Attention and Stress Detection for Children with Autism Spectrum Disorders","authors":"Lingling Deng, Prapa Rattadilok, Ruijie Xiong","doi":"10.1145/3484377.3484381","DOIUrl":"https://doi.org/10.1145/3484377.3484381","url":null,"abstract":"The majority of children with Autism Spectrum Disorders (ASD) have faced difficulties in sensory processing, which affect their ability of effective attention and stress management. Children with ASD also have unique patterns of sensory processing when responding to the stimuli in the environment. In this study, a real-time monitoring system has been designed and developed for attention and stress detection. Comprehensive sensory information, including environmental, physiological, and sensory profile data can be collected by the system using sensors, smart devices, and a standard sensory profiling questionnaire. Data acquisition with 35 ASD children using the system prototype was successfully conducted. With the acquired data set, different machine learning models were trained to predict attentional and stress level. Among all the investigated models, Gradient Boosting Decision Tree and Random Forest obtained the best prediction accuracies of 86.67% and 99.05% on attention and stress detection respectively. The two models were then implemented into the system for automatic detection. Future work could be focusing on exploring more supportive features to improve the prediction accuracy for attention detection. Such an easily-accessed monitoring system tailored for children with ASD could be widely-used in daily life to assist ASD users with their attention and stress management.","PeriodicalId":123184,"journal":{"name":"Proceedings of the 2021 International Conference on Intelligent Medicine and Health","volume":" 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113952930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Using Phase Synchronization to Improve the Performance of Spatial Filter during Motor Imagery EEG Classification 利用相位同步提高空间滤波在运动意象脑电分类中的性能

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484382

Kai Zhang, Guanghua Xu, Xiaowei Zheng, Sicong Zhang

{"title":"Using Phase Synchronization to Improve the Performance of Spatial Filter during Motor Imagery EEG Classification","authors":"Kai Zhang, Guanghua Xu, Xiaowei Zheng, Sicong Zhang","doi":"10.1145/3484377.3484382","DOIUrl":"https://doi.org/10.1145/3484377.3484382","url":null,"abstract":"Motor imagery-EEG based on brain computer interface (BCI) provide a promising way to establish pathways for neural center and external equipment, which has been widely used in the fields of neurological rehabilitation and robot control. During this process, the performance of BCI depends on the accuracy of decoding for the motor intention. Due to the high efficiency and simplicity, spatial filtering is often used to extract the amplitude feature for MI classification. However, changes of physiological condition for subjects would cause high variability of EEG signal within the trials/sessions, which brought huge challenge of feature extraction and classification. The state of phase synchronization for EEG is an important information to evaluate the motor intention, which is rarely combine with amplitude feature to realize the pattern recognition. Therefore, in this study, we propose a model integrating phase and amplitude information for binary classification in MI task. Firstly, we adopt the phase-locked values to calculate the time section with degree of phase synchronization that contains the maximum discriminant information. Then, common spatial pattern was performed to extract amplitude feature for α and β bands integrating the distribution of phase information. Next, SVM was utilized to classify feature vectors and realize the binary MI decoding. Five subjects recruited to participate in the experiment and results show that the information of phase synchronization significantly improves the classification performance of spatial filter.","PeriodicalId":123184,"journal":{"name":"Proceedings of the 2021 International Conference on Intelligent Medicine and Health","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122783809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The Role of Spatial Alignment in Multimodal Medical Image Fusion Using Deep Learning for Diagnostic Problems 空间对齐在多模态医学图像融合中使用深度学习诊断问题的作用

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484384

Xingyue Wang, Kuang Shu, H. Kuang, Shiwei Luo, Richu Jin, Jiang Liu

{"title":"The Role of Spatial Alignment in Multimodal Medical Image Fusion Using Deep Learning for Diagnostic Problems","authors":"Xingyue Wang, Kuang Shu, H. Kuang, Shiwei Luo, Richu Jin, Jiang Liu","doi":"10.1145/3484377.3484384","DOIUrl":"https://doi.org/10.1145/3484377.3484384","url":null,"abstract":"Deep learning methods have become popular in multimodal medical image fusion for diagnostic problems. Unlike conventional ways where spatial alignment is a crucial step, the deep learning methods perform the fusion at middle layers of deep neural networks and the alignment of multiple image modalities is achieved implicitly at the semantic level. Therefore, the role of spatial alignment in the fusion process using deep learning is doubted. This study tried to clarify this doubt via a series of experiments. Particularly, based on two specific clinical diagnostic problems, i.e. diagnosis of AD and AMD, performances of concatenation-based deep fusion networks with spatially aligned or misaligned inputs were compared. Moreover, modified deep fusion networks with an STN module to provide adaptive spatial alignment was proposed and tested. It was observed that there was an improvement in diagnostic results if the inputs of deep fusion networks were spatially aligned, and adaptive spatial alignment could bring additional improvement. These findings suggest that spatial alignment still works in the fusion process using deep learning and an additional adaptive spatial alignment is recommended for better fusion results.","PeriodicalId":123184,"journal":{"name":"Proceedings of the 2021 International Conference on Intelligent Medicine and Health","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134310364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The Present Situation of Emergency Rescue of Intelligent Rescue Device: A Kind of Idea of Intelligent Rescue System (IRS) 智能救援装置的应急救援现状:一种智能救援系统的构想

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484386

Yating Tian, Yi-Heng Feng, Wei Wang, T. Hu, Zhenzhen Zhang

{"title":"The Present Situation of Emergency Rescue of Intelligent Rescue Device: A Kind of Idea of Intelligent Rescue System (IRS)","authors":"Yating Tian, Yi-Heng Feng, Wei Wang, T. Hu, Zhenzhen Zhang","doi":"10.1145/3484377.3484386","DOIUrl":"https://doi.org/10.1145/3484377.3484386","url":null,"abstract":"Modern high-tech warfare has made the soldiers in the battlefield more dangerous, more complex injuries, but also caused a great difficulty in immediate treatment. In order to use intelligent control technology to treat the wounded in the battlefield, this paper briefly summarizes the characteristics of modern war and the status quo and development focus of intelligent treatment of the wounded, and put forward a kind of Intelligent Rescue System (IRS), offer a new idea of intelligent treatment for the future war. IRS is a new wearable vital signs monitoring device. It consists of two parts, including a core Vest and an elbow-like elastic band. It realizes the real-time monitoring of the vital signs of the soldiers wearing the equipment through a variety of sensors, realizes the real-time grasp of the soldiers' situation in the rear of the battlefield and the remote rescue start through a wireless transceiver. The transceiver with a unique code can reduce the error rate of the information needed in the rear and make rescue more accurate and efficient.","PeriodicalId":123184,"journal":{"name":"Proceedings of the 2021 International Conference on Intelligent Medicine and Health","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122106416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic radiofrequency ablation planning for liver tumors: A planning method based on the genetic algorithm with multiple constraints 肝脏肿瘤射频消融自动规划:基于多约束遗传算法的规划方法

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484379

P. Yu, Tianyu Fu, Chan Wu, Yurong Jiang, Jian Yang

{"title":"Automatic radiofrequency ablation planning for liver tumors: A planning method based on the genetic algorithm with multiple constraints","authors":"P. Yu, Tianyu Fu, Chan Wu, Yurong Jiang, Jian Yang","doi":"10.1145/3484377.3484379","DOIUrl":"https://doi.org/10.1145/3484377.3484379","url":null,"abstract":"Radiofrequency ablation (RFA) is widely used in the treatment of liver tumors. Computer-aided planning is needed to preoperatively provide reliable paths for puncturing electrode needles into the treatment zone with multiple clinical constraints. Under the constraints, a genetic algorithm (GA)-based method was proposed to plan the optimal needle paths without passing the import tissues, and the produced ablation zone completely and conformably cover the tumor. In the proposed method, the appropriate paths between the treatment zone and the skin were first filtered in accordance with the constraints. Then the ablation zone model was determined for each appropriate path. Each point in the treatment zone was treated as a gene, and all genes were grouped as a chromosome. The path planning optimization could be regarded as the gene expression in a chromosome. On the basis of the filtered appropriate paths and the determined ablation zone, the optimal paths were obtained through GA. In the experiment, 32 tumors from nine patients were used to evaluate the proposed method. The resultant paths ensured no import tissues were passed, and the number of used electrode needles and damaged healthy tissues by the ablation zone was minimum. Therefore, the proposed method provides reliable electrode needle paths for physicians.","PeriodicalId":123184,"journal":{"name":"Proceedings of the 2021 International Conference on Intelligent Medicine and Health","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123784089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Differences in Immune Checkpoint Protein Expression among Immune Cells in Lung Carcinoma 肺癌免疫细胞中免疫检查点蛋白表达的差异

Proceedings of the 2021 International Conference on Intelligent Medicine and Health Pub Date : 2021-08-13 DOI: 10.1145/3484377.3484392

Risha Na, Ruilong Chen

引用次数: 0