Journal of Mechanics in Medicine and Biology最新文献_第3页

ECG Signal Quantitative Analysis Based on Extremum Energy Decomposition Method 基于极值能量分解方法的心电信号定量分析

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-11 DOI: 10.1142/s0219519423401000

Yanyu Zhou, Yihua Song, Kankan She, Xinxia Li, Yu Hu, Xinbao Ning

{"title":"ECG Signal Quantitative Analysis Based on Extremum Energy Decomposition Method","authors":"Yanyu Zhou, Yihua Song, Kankan She, Xinxia Li, Yu Hu, Xinbao Ning","doi":"10.1142/s0219519423401000","DOIUrl":"https://doi.org/10.1142/s0219519423401000","url":null,"abstract":"Quantitative analysis of electrocardiogram (ECG) signals plays a pivotal role in objectively and quantitatively assessing cardiac electrical activity. This paper presents an innovative approach for quantitative ECG signal analysis utilizing extremum energy decomposition (EED). The methodology encompasses multiple steps: acquisition of unknown ECG signal under specific time and sampling conditions, denoising of acquired ECG signals, and subsequent decomposition of denoised ECG signals into a set of extremum modal function components alongside a residual. The n extremum modal function components obtained effectively represent different frequency bands. By evaluating these n extremum modal function components, the presence and severity of abnormalities within the ECG signal can be determined. The results showcased the effectiveness of the method in accurately identifying abnormal ECG signals, and the technique demonstrated robustness against noise interference, enhancing its practical utility in clinical and diagnostic settings. This research contributes to the field of ECG analysis by offering a quantitative toolset that enhances the objectivity and accuracy of abnormality assessment in cardiac electrical activity.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136057776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PROTECTIVE MECHANISM OF ALLEVIATING LUNG INJURY BY INHIBITING NF-κB PATHWAY 抑制nf -κb通路减轻肺损伤的保护机制

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-11 DOI: 10.1142/s0219519423400870

Na Liu, Wei-Xing Ma, Jing Qi, Yan-Xia Wang, Gui-Fang Ren, Pei Yu, Yu-Han Xie, Lin Xiao, Zong-Run Li

{"title":"PROTECTIVE MECHANISM OF ALLEVIATING LUNG INJURY BY INHIBITING NF-κB PATHWAY","authors":"Na Liu, Wei-Xing Ma, Jing Qi, Yan-Xia Wang, Gui-Fang Ren, Pei Yu, Yu-Han Xie, Lin Xiao, Zong-Run Li","doi":"10.1142/s0219519423400870","DOIUrl":"https://doi.org/10.1142/s0219519423400870","url":null,"abstract":"This review is to summarize the reports published in the past 10 years on the protective mechanism of 74 different intervention methods on lung injury through restraining nuclear factor kappa-B (NF-[Formula: see text]B) signaling pathway. We summarized the experimental studies on animal lung injury models of NF-[Formula: see text]B, MAPK/NF-[Formula: see text]B, PI3K/Akt/NF-[Formula: see text]B, TLR4/NF-[Formula: see text]B, NF-[Formula: see text]B/NALP3, NF-[Formula: see text]B/NLRP3 and other NF-[Formula: see text]B-related signal pathways. Lung injury leads to high mortality worldwide. Many potential mechanisms for the treatment and prevention of lung injury are still unclear. In addition to the use of lung protection strategies, currently, there are no effective drugs for lung injury treatment. Preemptive NF-[Formula: see text]B inhibition protects cells from damage, but inhibition at the decomposition stage delays tissue repair. Therefore, we think there is a need to conduct further studies that can provide more insights for future treatment and prevention of lung injury.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136057952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of smart 1rm measurement system to improvement of skeletal muscle function of the elderly 开发智能1rm测量系统改善老年人骨骼肌功能

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-07 DOI: 10.1142/s0219519423400845

Shin-Bae Seo, Seung-Rok Kang, Ho-Choon Jeong, Mi Yu, Tae-Kyu Kwon

{"title":"Development of smart 1rm measurement system to improvement of skeletal muscle function of the elderly","authors":"Shin-Bae Seo, Seung-Rok Kang, Ho-Choon Jeong, Mi Yu, Tae-Kyu Kwon","doi":"10.1142/s0219519423400845","DOIUrl":"https://doi.org/10.1142/s0219519423400845","url":null,"abstract":"In this study, we aimed to provide safe exercises with automatic service for easy access to active seniors, develop Smart One Repetition Maximum (1RM) measurement system applying electronic load that can reduce injuries, and optimize exercise effects by accurately evaluating physical functions and exercise effects. In this study, a smart, customized exercise and 1RM measurement system was developed to improve and maintain the daily living ability of healthy older adults. This system applies a power brake to provide a safe and detailed exercise load for older adults and consists of six types of exercises, including leg extension, leg press, long pull, in and out thigh, abdominal, and chest press exercises. The subjects of this study were 30 adults aged 65 years or older who had no history of musculoskeletal or nervous system disorders in the past 6 months and who attended an elderly fitness center in Gwangju city. Whole-body aerobic exercise was performed using a sedentary bicycle for 20[Formula: see text]min before exercise. Exercise load was performed by converting the weight of 30RM based on the 1RM measured before evaluation. The exercises were chest press, long pull, abdominal flexion, hip adduction, leg extension, and leg press. All the exercises were performed 30 times in a set, three sets a day, 3–5 times a week, with 5[Formula: see text]min of rest between workouts. As a result of the experiment, the maximum muscle strength for all exercise modes increased significantly ([Formula: see text]), and a safe muscle strength enhancement effect for the elderly was observed. These results suggest that the smart, customized exercise system developed in this study can positively result in a safe increase in the muscle strength of the elderly.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Studies on the mental health recognition based on data mining and twin learning network 基于数据挖掘和孪生学习网络的心理健康识别研究

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-07 DOI: 10.1142/s0219519423400973

Lin Ma, Shichao Ma

{"title":"Studies on the mental health recognition based on data mining and twin learning network","authors":"Lin Ma, Shichao Ma","doi":"10.1142/s0219519423400973","DOIUrl":"https://doi.org/10.1142/s0219519423400973","url":null,"abstract":"This study was envisaged to develop a recognition method based on the data mining and twin network deep learning, in view of the recognition problems of the mental health data. Initially, the survey dataset was preprocessed using K-Means clustering and improved Apriori data mining methods. The Apriori data mining method was improvised, which significantly improved the pruning efficiency of the Apriori algorithm by introducing cumulative counting and address mapping tables. Subsequently, under the deep learning framework of the twin network, the reference dataset was included in the upper branch network and the survey dataset after clustering analysis, and data mining was included in the lower branch network. The upper branch network further integrated the channel self-attention mechanism, while the lower branch network further integrated the spatial self-attention mechanism. Based on various types of mental health data and reference datasets, identification experiments were conducted. The experimental results showed that the proposed method outperformed the Decision Tree (DT), Support Vector Machine (SVM), Convolutional Neural Network (CNN), and RNN methods using the four evaluation indicators of Precision, Recall, F1, and AUC. Furthermore, the developed method has higher pruning efficiency in data mining and higher accuracy in discriminating mental health.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Risk Factors for Thyroid Nodules and Study on Their Association with Diabetes and Stroke 甲状腺结节危险因素分析及其与糖尿病、脑卒中的相关性研究

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-07 DOI: 10.1142/s0219519423401048

Fei Wang, Chendi Yuan, Xuefei Wang, Jiawen Cao, Xiaowen Gao, Yifei Wang, Fulong Han, Qiaohui Qian, Zeguo Shao

{"title":"Analysis of Risk Factors for Thyroid Nodules and Study on Their Association with Diabetes and Stroke","authors":"Fei Wang, Chendi Yuan, Xuefei Wang, Jiawen Cao, Xiaowen Gao, Yifei Wang, Fulong Han, Qiaohui Qian, Zeguo Shao","doi":"10.1142/s0219519423401048","DOIUrl":"https://doi.org/10.1142/s0219519423401048","url":null,"abstract":"To explore the risk factors for thyroid nodules and their correlation with diabetes and stroke, the authors conducted a study on 1000 patients with metabolic syndrome (MS). The analysis included variables such as gender, age, familial thyroid disease, salt intake, iodine intake, smoking, alcohol consumption, sleep quality, mental stress, exercise, BMI, blood pressure, diabetes, and baseline nodules. The Apriori algorithm of machine learning was used to derive 12 association rules ([Formula: see text]), and the decision tree algorithm was used to derive 20 effective knowledge rules. The results showed that iodine intake, salt intake, BMI, and advanced age were high-risk factors for thyroid nodules. Exercise, BMI, and age were strongly correlated, while exercise, mental stress, iodine intake, and salt intake showed a strong correlation. Exercise, sleep, smoking, and alcohol consumption influenced mental stress, while age, diseases (diabetes, hypertension, obesity), and lifestyle habits influenced sleep quality. The risk of diabetes and stroke increased in patients with thyroid nodules, and there was a strong correlation among diabetes, stroke, and thyroid nodules.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135253227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reliability of Static Balance Test in Faller and Nonfaller Parkinson Disease Patients 帕金森病患者静平衡试验的可靠性

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-07 DOI: 10.1142/s0219519423401036

Yu-Ri Kwon, Ji-Won Kim

{"title":"Reliability of Static Balance Test in Faller and Nonfaller Parkinson Disease Patients","authors":"Yu-Ri Kwon, Ji-Won Kim","doi":"10.1142/s0219519423401036","DOIUrl":"https://doi.org/10.1142/s0219519423401036","url":null,"abstract":"Little is known about the reliability of center of pressure (COP) variables during static balance test in patients with Parkinson’s disease (PD). Furthermore, reliability studies on fallers and nonfallers PD patients have not been explored. Therefore, our study investigated the test–retest reliability of COP outcome measures in faller and nonfaller PD patients. Eighty-one PD patients (49 nonfallers and 32 fallers) were recruited for measurement of static balance test. The patients maintained double-leg stance with feet on a force plate as stably as possible. To analyze the test–retest reliability of each COP outcome measures, intraclass correlation coefficient (ICC) statistical method was performed. Among COP outcome measures, mean velocity had the highest ICC value in faller patients ([Formula: see text]–0.915) and nonfaller patients ([Formula: see text]–0.960). Mean distance had excellent reliability in medio-lateral (ML) direction in both faller patients ([Formula: see text]) and nonfaller patients ([Formula: see text]). Ellipse area had excellent reliability in nonfaller patients ([Formula: see text]), but less reliability in faller patients ([Formula: see text]). Our results demonstrate that objective and quantitative balance assessment method is reliable in PD patients with or without a history of falls. On the other hand, it was not appropriate to use ellipse area to assess postural balance for faller PD patients. Our findings could be useful to develop an optimal balance protocol and apply appropriate COP outcome measures for PD patients.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135253229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Telecentric Collimator Optical System Design for Photoacoustic System 光声系统的远心准直光学系统设计

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-07 DOI: 10.1142/s0219519423401061

Hojong Choi, Jaemyung Ryu

引用次数: 0

The effects of the sleep three-needle acupuncture technique on acupoint temperature variations in patients with chronic primary insomnia: a research protocol for a randomized controlled trial 睡眠三针针刺技术对慢性原发性失眠患者穴位温度变化的影响:一项随机对照试验的研究方案

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-07 DOI: 10.1142/s0219519423400912

Jin Liu, Yan Jin, Xiaolan Feng, Huixia Huang, Shaoqiong Chang, Hongwei Xu, Xinghua Chen

{"title":"The effects of the sleep three-needle acupuncture technique on acupoint temperature variations in patients with chronic primary insomnia: a research protocol for a randomized controlled trial","authors":"Jin Liu, Yan Jin, Xiaolan Feng, Huixia Huang, Shaoqiong Chang, Hongwei Xu, Xinghua Chen","doi":"10.1142/s0219519423400912","DOIUrl":"https://doi.org/10.1142/s0219519423400912","url":null,"abstract":"Background: Chronic primary insomnia (CPI) is a commonly encountered clinical disease, the incidence of which has been rising in recent years. In theoretical contexts, the temperature of acupoints in CPI patients is higher than that in unaffected individuals together with concomitant increases in fatigue index and intracranial arterial velocity. Acupuncture has long been used to treat insomnia, and the sleep three-needle acupuncture (STA) approach represents one promising such treatment for this condition. However, no studies to date have assessed the ability of this technique to lower acupoint temperature values or to improve the Insomnia Severity Index (ISI) in treated individuals. Methods: The present exploration is a prospective, randomized, assessor-blind, controlled trial. Totally, 102 adult patients with CPI will be recruited with varying levels of insomnia severity (mild, moderate, severe) and randomized into six equally sized groups. Patients in these groups will then undergo STA together with cognitive-behavioral therapy (CBT) or CBT alone. Acupuncture will be administered for 30[Formula: see text]min per treatment 2–3 times per week (7 days per cycle) for a maximum of 10 sessions in 4 cycles. All patients underwent CBT for 4 weeks. In addition, 17 patients will be recruited for a healthy control group. Primary outcomes will include acupoint temperature variations and ISI values, while secondary outcomes will include fatigue index values, intracranial arterial velocity, and Pittsburgh Sleep Quality Index (PSQI) values. Discussion: This study aims to test the theory that STA can lower acupoint temperatures and improve ISI values in CPI patients. Trial registration: Chinese Clinical Trial Registry ( http://www.chictr.org.cn ), ID: ChiCTR2100048704. Registered on 13/07/2021.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MULTI-SCALE SKELETAL MUSCLE MODELING: A REVIEW 多尺度骨骼肌模型:综述

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-07 DOI: 10.1142/s0219519423400857

Monan Wang, Juntong Jing, Qiyou Yang, Pengcheng Li

引用次数: 0

ISC-Transunet: Medical Image Segmentation Network Based on the Integration of Self-Attention and Convolution ISC-Transunet:基于自注意与卷积融合的医学图像分割网络

4区医学

Journal of Mechanics in Medicine and Biology Pub Date : 2023-10-07 DOI: 10.1142/s0219519423401073

Fang Li, Siyu Pei, Ziqun Zhang, Fuming Yang

{"title":"ISC-Transunet: Medical Image Segmentation Network Based on the Integration of Self-Attention and Convolution","authors":"Fang Li, Siyu Pei, Ziqun Zhang, Fuming Yang","doi":"10.1142/s0219519423401073","DOIUrl":"https://doi.org/10.1142/s0219519423401073","url":null,"abstract":"In the current medical image segmentation network, the combination of CNN and Transformer has become a mainstream trend. However, the inherent limitations of convolution operation in CNN and insufficient information interaction in Transformer affect the segmentation performance of the network. To solve these problems, an integrated self-attention and convolution medical image segmentation network (ISC-TransUNet) is proposed in this paper. The network consists of encoder, decoder and jump connection. First, the encoder uses a hybrid structure of BoTNet and Transformer to capture more comprehensive image information and reduce additional computing overhead. Then, the decoder uses an upper sampler cascaded by multiple DUpsampling upper blocks to accurately recover the pixel-level prediction. Finally, the feature fusion of encoder and decoder at different resolutions is realized by ResPath jump connection, which reduces the semantic difference between encoder and decoder. Through experiments on the Synapse multi-organ segmentation dataset, compared with the baseline model TransUNet, Dice similarity coefficient of ISC-TransUNet was improved by 1.13%, Hausdorff distance was reduced by 2.38%, and weight was maintained. The experimental results show that the network can effectively segment tissues and organs in medical images, which has important theoretical significance and application value for intelligent clinical diagnosis and treatment.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135253225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0