Journal of Medical and Biological Engineering最新文献_第6页

X-Ray CT-Based Evaluation of Dorsal Rotation Angles and Axes of the 1st–5th Tarsometatarsal Joints 基于x线ct的第1 - 5跗跖关节背侧旋转角度和轴的评价

IF 2 4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-11-24 DOI: 10.1007/s40846-023-00840-w

Satoshi Shimawaki, Koyo Aoki, Hidenori Iwasa, Harushi Mori

{"title":"X-Ray CT-Based Evaluation of Dorsal Rotation Angles and Axes of the 1st–5th Tarsometatarsal Joints","authors":"Satoshi Shimawaki, Koyo Aoki, Hidenori Iwasa, Harushi Mori","doi":"10.1007/s40846-023-00840-w","DOIUrl":"https://doi.org/10.1007/s40846-023-00840-w","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>The tarsometatarsal (TMT) joints play crucial roles in walking and slow running. Some studies have treated the 1st to 5th TMT joints collectively as a single joint. However, few studies have examined each individual joint within the 1st to 5th TMT joints separately. This study sought to determine the rotation angles and axes of the 1st–5th TMT joints as each metatarsal head was dorsally displaced in vivo.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>CT imaging was conducted on 11 subjects under six conditions: a basic posture and isolated metatarsal movement postures in which one of the 1st to 5th metatarsals was dorsally displaced with a load of 55 N. The helical axis parameters (rotation angle and rotation axis) of the metatarsal were calculated by transitioning from the basic posture to each isolated metatarsal movement posture.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Multiple comparison testing on the dorsal rotation angles showed significant differences between all TMT joints, except between the 1st and 4th TMT joints and between the 1st and 5th TMT joints (<i>p</i> < 0.01). The 2nd TMT joint exhibited a significantly lower dorsal rotation angle than the other TMT joints. By transitioning from the 1st to the 5th TMT joints, the transversal plane rotation axis shifted from lateral-anterior to -posterior, while that of the sagittal plane shifted from anterior- to posterior-inferior.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>This study provided the rotation angles and axes of the 1st–5th TMT joints in vivo. The data provide a useful reference dataset for selecting diseased feet and developing new foot orthoses.</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":" 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138492503","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

Transfer Learning Enhanced Cross-Subject Hand Gesture Recognition with sEMG 基于表面肌电信号的迁移学习增强跨主体手势识别

IF 2 4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-11-21 DOI: 10.1007/s40846-023-00837-5

Shenyilang Zhang, Yinfeng Fang, Jiacheng Wan, Guozhang Jiang, Gongfa Li

{"title":"Transfer Learning Enhanced Cross-Subject Hand Gesture Recognition with sEMG","authors":"Shenyilang Zhang, Yinfeng Fang, Jiacheng Wan, Guozhang Jiang, Gongfa Li","doi":"10.1007/s40846-023-00837-5","DOIUrl":"https://doi.org/10.1007/s40846-023-00837-5","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>This study explores the emerging field of human physical action classification within human–machine interaction (HMI), with potential applications in assisting individuals with disabilities and robotics. The research focuses on addressing the challenges posed by diverse sEMG signals, aiming for improved cross-subject hand gesture recognition.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>The proposed approach utilizes deep transfer learning technology, employing multi-feature images (MFI) generated through grayscale conversion and RGB mapping of numerical matrices. These MFIs are fed as input into a fine-tuned AlexNet model. Two databases, ISRMyo-I and Ninapro DB1, are employed for experimentation. Rigorous testing is conducted to identify optimal parameters and feature combinations. Data augmentation techniques are applied, doubling the MFI dataset. Cross-subject experiments encompass six wrist gestures from Ninapro DB1 and thirteen gestures from ISRMyo-I.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The study demonstrates substantial performance enhancements. In Ninapro DB1, the mean accuracy achieves 86.16%, showcasing a 13.25% improvement over the best-performing traditional decoding method. Similarly, in ISRMyo-I, a mean accuracy of 70.41% is attained, signifying a 7.4% increase in accuracy compared to traditional methods.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>This research establishes a robust framework capable of mitigating cross-user differences in hand gesture recognition based on sEMG signals. By employing deep transfer learning techniques and multi-feature image processing, the study significantly enhances the accuracy of cross-subject hand gesture recognition. This advancement holds promise for enriching human–machine interaction and extending the practical applications of this technology in assisting disabled individuals and robotics.</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":" 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138492502","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

Nanotechnology Potent Photothermal and Photodynamic Immunotherapies of Cancer 纳米技术有效的光热和光动力免疫治疗癌症

4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-11-10 DOI: 10.1007/s40846-023-00836-6

Abduladheem Turki Jalil, Noora. G. Al-Fatlawi, Lubna R. Al-Ameer, Mustafa Asaad Rasol, Jabbar Hassoon Zamil Al-Tamimi, Muna S. Merza, Ronak Taher Ali, Rahman S. Zabibah, Farah Al-Hili

引用次数: 0

Practically Feasible Sensor-Embedded Kinetic Assessment Piano System for Quantifying Striking Force of Digits During Piano Playing 实际可行的嵌入式传感器动态评估钢琴系统，用于量化钢琴演奏过程中数字的冲击力

4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-11-07 DOI: 10.1007/s40846-023-00835-7

Kuan-Yin Lai, Chieh-Hsiang Hsu, Yu-Chen Lin, Chung-Hung Tsai, Cheng-Feng Lin, Li-Chieh Kuo, Fong-Chin Su

{"title":"Practically Feasible Sensor-Embedded Kinetic Assessment Piano System for Quantifying Striking Force of Digits During Piano Playing","authors":"Kuan-Yin Lai, Chieh-Hsiang Hsu, Yu-Chen Lin, Chung-Hung Tsai, Cheng-Feng Lin, Li-Chieh Kuo, Fong-Chin Su","doi":"10.1007/s40846-023-00835-7","DOIUrl":"https://doi.org/10.1007/s40846-023-00835-7","url":null,"abstract":"Abstract Purpose Understanding the pathogenesis of playing-related hand disorders through investigations based on coordination and biomechanical perspectives is indispensable. This study aimed to establish a sensor-embedded kinetic assessment piano system (SeKAPS) and conduct reliability and validity tests for this system. In addition, the differences in digit coordination between professional pianists and non-musicians were investigated. Methods Twelve subminiature load cells were embedded in the middle of the 12 corresponding keys of an upright piano. A customized calibrated system with a load cell was used to establish the criterion-related validity of the SeKAPS. The reliability of the SeKAPS was determined by 22 volunteer pianists. The other ten professional pianists and ten non-musicians were recruited to indicate the feasibility of the SeKAPS to distinguish the performing differences between groups. Results The R 2 values of regression analyses for the load cells were 0.993–0.999 ( p < 0.001), indicating high validity. The ICC values of the modified keys were 0.82–0.93, indicating high reliability. The results indicate that SeKAPS is accurate in detecting the striking force of digits during piano playing. Significant differences existed in the mean peak force and mean CVs of the peak force of the specific digits between the two groups. The results showed differences in finger control strategies between the pianists and non-musicians. Conclusion The SeKAPS may provide a valuable assessment for assisting pianists in understanding digit force control and movement strategies to achieve efficient digit coordination.","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"1 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135432569","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

Accumulated Hepatic Steatosis Grades Predicted by T2*-IDEAL Fat Fraction T2*-IDEAL脂肪分数预测累积肝脂肪变性分级

4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-10-31 DOI: 10.1007/s40846-023-00819-7

Chang-Hsien Liu, Hing-Chiu Chang, Yi-Jui Liu, Wei-Ching Lin, Chi-Feng Hsieh, Te-Pao Lin, Cheng-Hsuan Juan, William Tzu-Liang, Chun-Jung Juan

引用次数: 0

Silk Fibroin Based Core-Shell Nanofibers Loaded with ZnO Nanoparticles: An Ideal Candidate for Designing a Medicated Wound Dressing 负载ZnO纳米粒子的丝素基核壳纳米纤维:设计药物伤口敷料的理想候选材料

4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-10-30 DOI: 10.1007/s40846-023-00821-z

Sohrab Moradi, Shahram Nazarian, Peiman Brouki Milan, Mohammad Ali Nilforoushzadeh, Jamil Zargan

引用次数: 0

Tissue Engineering for Sciatic Nerve Repair: Review of Methods and Challenges 坐骨神经修复的组织工程:方法综述与挑战

4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-10-27 DOI: 10.1007/s40846-023-00833-9

Yasaman Ebrahimi-kia, Parivash Davoudi, Sima Bordbar

引用次数: 0

Fully Automated Detection of Osteoporosis Stage on Panoramic Radiographs Using YOLOv5 Deep Learning Model and Designing a Graphical User Interface 基于YOLOv5深度学习模型及图形用户界面设计的全景x线片骨质疏松分期全自动检测

4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-10-27 DOI: 10.1007/s40846-023-00831-x

Muhammet Üsame ÖZİÇ, Melek Tassoker, Fatma Yuce

引用次数: 0

Temporal Encoded Deep Learning Radiomics Model for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma 时间编码深度学习放射组学模型用于肝细胞癌微血管侵袭的术前预测

4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-10-01 DOI: 10.1007/s40846-023-00829-5

Jiahui Hu, Xi Deng, Yukai Pan, Yutao Wang, Wei Jin

引用次数: 0

Basic Aspects of Skin Tissue Engineering: Cells, Biomaterials, Scaffold Fabrication Techniques, and Signaling Factors 皮肤组织工程的基本方面:细胞、生物材料、支架制造技术和信号因子

4区医学

Journal of Medical and Biological Engineering Pub Date : 2023-10-01 DOI: 10.1007/s40846-023-00822-y

Maryam Kaviani, Bita Geramizadeh

引用次数: 0