Applied Bionics and Biomechanics最新文献

{"title":"Retracted: Practical Research on the Development of Physical Exercise and Physical Education Training Based on 5G Technology.","authors":"Applied Bionics And Biomechanics","doi":"10.1155/2023/9832565","DOIUrl":"https://doi.org/10.1155/2023/9832565","url":null,"abstract":"<p><p>[This retracts the article DOI: 10.1155/2022/6730282.].</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"9832565"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939307/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9328286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Gyroscope on Arm Swing and Gait in Healthy Volunteers.","authors":"Meriç Selim Şipal,&nbsp;Elif Yalçın,&nbsp;Aynur Ayşe Karaduman","doi":"10.1155/2023/6630913","DOIUrl":"https://doi.org/10.1155/2023/6630913","url":null,"abstract":"<p><strong>Background: </strong>Arm swing has a crucial role in gait. It is essential in terms of regulating gait parameters and balance during walking. In the case of bradykinesia, the arms act as a generator to maintain lower extremity movement while walking. The way gyroscopes work makes them useful in arm swings. In this study, the arm swing is facilitated by a new type of gyroscope. As a main purpose, a gyroscope was used to increase arm swing during pendulum exercise and walking.</p><p><strong>Methods: </strong>Thirty healthy volunteers were included in the study. The study covered three situations. The first evaluation was performed without the gyroscope. The second evaluation was performed while the gyroscope was installed but not activated. The final evaluation was made while the gyroscope was installed and powered up. The effect of the gyroscope on the arm swing was evaluated by the Dartfish®, and the gait was evaluated with the Zebris® force distribution measurement analysis system.</p><p><strong>Results: </strong>According to the results, the gyroscope increases the arm swing in the pendulum exercise (<i>p</i> < 0.05). Furthermore, using the gyroscope, the step width decreased, and the gait cycle time increased (<i>p</i> < 0.05).</p><p><strong>Conclusions: </strong>The gyroscope is suitable for facilitating arm swings in healthy volunteers. This study is essential to demonstrate the effect of a gyroscope on extremity movements for the first time. In the future, a medical device that has the features of a gyroscope can be designed for its use in the treatment of Parkinson's disease and Senile Bradykinesia.</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"6630913"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033207/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9560064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Lower Limb Movements of the Fetus in Uterus: A Narrative Review.","authors":"Xiaoxue Zhao,&nbsp;Jan Awrejcewicz,&nbsp;Jianpeng Li,&nbsp;Yuhuan He,&nbsp;Yaodong Gu","doi":"10.1155/2023/4324889","DOIUrl":"https://doi.org/10.1155/2023/4324889","url":null,"abstract":"<p><p>The fetus movements play an important role in fetal well-being. With the continuous advancement of real-time scanning machines, it is feasible to observe the fetus movement in detail. The characteristics of fetal lower limb movements in prenatal examination have not been systematically investigated. This review proposes the patterns of fetal lower limb movements, the maternal influence on fetal lower limb movements, and the application of fetal lower limb movements for the diagnosis of prenatal diseases. A systematic search of literature on the lower limb movements of the fetus in uterus was performed in the databases, namely, Web of Science and Scopus. Thirty-four publications were selected. This review demonstrates that isolated fetal lower limb movements are rare and always accompanied with the movements of other body segments. Detection of the presence of fetal leg movements seems to be of no diagnostic value for fetuses with prenatal diseases. The isolated lower limb movement was statistically significant different between fetuses of low- and high-risk pregnant women. The coordinated movements of the fetal lower limbs and other parts should be considered when analyzing fetal movements in the future study.</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"4324889"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886482/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9209006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retracted: Effectiveness of Artificial Intelligence Multimedia Courseware in Classroom Teaching Application.","authors":"Applied Bionics And Biomechanics","doi":"10.1155/2023/9847405","DOIUrl":"https://doi.org/10.1155/2023/9847405","url":null,"abstract":"<p><p>[This retracts the article DOI: 10.1155/2022/4543875.].</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"9847405"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974271/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9388121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bone Mineral Density Prediction from CT Image: A Novel Approach using ANN.","authors":"S L Resmi,&nbsp;V Hashim,&nbsp;Jesna Mohammed,&nbsp;P N Dileep","doi":"10.1155/2023/1123953","DOIUrl":"https://doi.org/10.1155/2023/1123953","url":null,"abstract":"<p><strong>Background: </strong>Though treatable, osteoporosis continues as a substantially underdiagnosed and undertreated condition. Bone mineral density (BMD) monitoring will definitely aid in the prediction and prevention of medical emergencies arising from osteoporosis. Although quantitative computed tomography (QCT) is one of the most widely accepted tools for measuring BMD, it lacks the contribution of bone architecture in predicting BMD, which is significant as aging progresses. This paper presents an innovative approach for the prediction of BMD incorporating bone architecture that involves no extra cost, time, and exposure to severe radiation.</p><p><strong>Methods: </strong>In this approach, the BMD is predicted using clinical CT scan images taken for other indications based on image processing and artificial neural network (ANN). The network used in this study is a standard backpropagation neural network having five input neurons with one hidden layer having 40 neurons with a tan-sigmoidal activation function. The Digital Imaging and Communications in Medicine (DICOM) image properties extracted from QCT of human skull and femur bone of rabbit that are closely associated with the BMD are used as input parameters of the ANN. The density value of the bone which is computed from the Hounsfield units of QCT scan image through phantom calibration is used as the target value for training the network.</p><p><strong>Results: </strong>The ANN model predicts the density values using the image properties from the clinical CT of the same rabbit femur bone and is compared with the density value computed from QCT scan. The correlation coefficient between predicted BMD and QCT density valued to 0.883. The proposed network can assist clinicians in identifying early stage of osteoporosis and devise suitable strategies to improve BMD with no additional cost.</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"1123953"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162883/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9486226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring the Effect of Vision on the Synergy of Lower Extremity Muscles during Walking using Nonnegative Matrix Factorization (NNMF) Algorithm Method.","authors":"Nasim Safari,&nbsp;Mahboubeh Alemzadeh,&nbsp;Mahdi Majlesi,&nbsp;Nader Farahpour,&nbsp;Muharram Mansoorizadeh","doi":"10.1155/2023/5501871","DOIUrl":"https://doi.org/10.1155/2023/5501871","url":null,"abstract":"<p><strong>Introduction: </strong>Lack of visual information in blind people during walking can affect the choice of muscle synergy from among the many incoming messages that reach the central nervous system (CNS). This study aimed to determine the effect of vision on the synergy of lower limb muscles during walking using the nonnegative matrix factorization algorithm (NNMF).</p><p><strong>Methods: </strong>Ten blind people and 10 people with normal vision participated in this study. Activities of involved muscles were recorded during walking. Muscle synergy matrix and synergy activation coefficient were calculated using the NNMF algorithm, while the variance accounted for criterion was used to determine the number of synergies required during walking. In order to assess the similarity of muscle synergy pattern and the relative weight of each muscle in each synergy in each group, Pearson correlation and independent samples <i>t</i>-test at a significance level of <i>α</i> ≤ 0.05 were used.</p><p><strong>Results: </strong>Four muscle synergies were extracted from EMG data during walking. The first (<i>r</i> = 0.431) and the second (<i>r</i> = 0.457) synergy patterns showed a moderate correlation between the two groups. However, the third (<i>r</i> = 0.302) and the fourth (<i>r</i> = 0.329) synergy patterns showed a weak correlation between the two groups. In the blind group, the relative weight of the muscles in the first synergy was significant for the external extensor muscle (<i>P</i> = 0.023), and in the second synergy for the biceps femoris. Also, in the third synergy, the relative weight was found to be significant in none of the muscles. In the fourth synergy, however, the relative weight of external extensor muscle in the blind group showed a significant decrease, as compared to the group with normal vision.</p><p><strong>Conclusions: </strong>These changes can be the strategy of the CNS to preserve the optimal functioning in the motor system of blind people.</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"5501871"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129435/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9733708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accuracy of Microimplant Placement Using a 3D Guide Plate for Orthodontic Anchorage.","authors":"Fangyong Zhu,&nbsp;Lian Ji,&nbsp;Chen Zhou,&nbsp;Yannan Cao,&nbsp;Zhifei Chen,&nbsp;Xiangbing Wu,&nbsp;Jianming Zou,&nbsp;Yufeng Gao","doi":"10.1155/2023/9060046","DOIUrl":"https://doi.org/10.1155/2023/9060046","url":null,"abstract":"<p><p>This study aimed to design a three-dimensional (3D) guide plate using computer-aided design and a 3D printing system for precise implantation of microimplants for orthodontic treatment and investigate the accuracy and feasibility of a 3D guide plate in clinical practice. A total of 30 microimplants were placed in 15 patients in the Department of Stomatology, Affiliated Hospital of Jiangnan University. Before surgery, DICOM data from cone-beam computed tomography (CBCT) scans and STereoLithography data from the 3D model scan were imported to 3Shape Dental System. Data fitting and matching were performed, and 3D guide plates were designed primarily focusing on the thickness of guide plates, amount of concave compensation, and dimensions of the ring. Assist implantation method was used to place the microimplants, and postoperative CBCT images were used to evaluate the position and implantation angle. The feasibility of placing microimplants and precise implantation guided by the 3D guide plate. CBCT data before and after the placement of microimplants were compared. Regarding the secure positioning of microimplants based on CBCT data, 26 implants were categorized as Grade i, four as Grade ii, and none as Grade iii. No loosening of microimplants 1 and 3 months after surgery was reported. The implantation of microimplants is more accurate under the guidance of a 3D guide plate. This technology can achieve accurate implant positioning, thus ensuring safety, stability, and improved success rates after implantation.</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"9060046"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9792741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retracted: To Explore the Effects of Acupuncture and Medical Treatment at Different Times on the Gastrointestinal Reaction and White Blood Cell Count of Patients with Lung Cancer Chemotherapy.","authors":"Applied Bionics And Biomechanics","doi":"10.1155/2023/9892836","DOIUrl":"https://doi.org/10.1155/2023/9892836","url":null,"abstract":"<p><p>[This retracts the article DOI: 10.1155/2022/5261344.].</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"9892836"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019958/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9499914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors.","authors":"Qian Xie,&nbsp;Ning Jin,&nbsp;Shanshan Lu","doi":"10.1155/2023/2354728","DOIUrl":"https://doi.org/10.1155/2023/2354728","url":null,"abstract":"<p><p>In recent years, machine learning has been utilized in health informatics and sports science. There is a great demand and development potential for combining the Internet of Things (IoT) and artificial intelligence (AI) to be applied to football sports. The conventional teaching and training methods of football sports have limited collection and mining of real raw data using wearable devices, and lack human motion capture and gesture recognition based on sports science theories. In this study, a low-cost AI + IoT system framework is designed to recognize football motion and analyze motion intensity. To reduce the communication delay and the computational resource consumption caused by data operations, a multitask learning model is designed to achieve motion recognition and intensity estimation. The model can perform classification and regression tasks in parallel and output the results simultaneously. A feature extraction scheme is designed in the initial data processing, and feature data augmentation is performed to solve the small sample data problem. To evaluate the performance of the designed football motion recognition algorithm, this paper proposes a data extraction experimental scheme to complete the data collection of different motions. Model validation is performed using three publicly available datasets, and the features learning strategies are analyzed. Finally, experiments are conducted on the collected football motion datasets and the experimental results show that the designed multitask model can perform two tasks simultaneously and can achieve high computational efficiency. The multitasking single-layer long short-term memory (LSTM) network with 32 neural units can achieve the accuracy of 0.8372, F1 score of 0.8172, mean average precision (mAP) of 0.7627, and mean absolute error (MAE) of 0.6117, while the multitasking single-layer LSTM network with 64 neural units can achieve the accuracy of 0.8407, F1 score of 0.8132, mAP of 0.7728, and MAE of 0.5966.</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"2354728"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356487/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9853146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do Mechatronic Poles Change the Gait Technique of Nordic Walking in Patients with Ischemic Heart Disease?","authors":"Agnieszka Szpala,&nbsp;Sławomir Winiarski,&nbsp;Małgorzata Kołodziej,&nbsp;Bogdan Pietraszewski,&nbsp;Ryszard Jasiński,&nbsp;Tadeusz Niebudek,&nbsp;Andrzej Lejczak,&nbsp;Dariusz Kałka,&nbsp;Karolina Lorek,&nbsp;Krzysztof Bałchanowski,&nbsp;Sławomir Wudarczyk,&nbsp;Marek Woźniewski","doi":"10.1155/2023/1135733","DOIUrl":"https://doi.org/10.1155/2023/1135733","url":null,"abstract":"<p><p>The study aimed to compare the technique of normal gait with the Nordic walking (NW) gait with classical and mechatronic poles in patients with ischemic heart disease. It was assumed that equipping classical NW poles with sensors enabling biomechanical gait analysis would not cause a change in the gait pattern. The study involved 12 men suffering from ischemic heart disease (age: 66.2 ± 5.2 years, body height: 173.8 ± 6.74 cm; body mass: 87.3 ± 10.89 kg; disease duration: 12.2 ± 7.5 years). The MyoMOTION 3D inertial motion capture system (Noraxon Inc., Scottsdale, AZ, USA) was used to collect biomechanical variables of gait (spatiotemporal and kinematic parameters). The subject's task was to cover the 100 m distance with three types of gait-walking without poles (normal gait), walking with classical poles to NW, and walking with mechatronic poles from the so-called preferred velocity. Parameters were measured on the right and left sides of the body. The data were analyzed using two-way repeated measures analysis of variance with the between-subject factor \"body side.\" Friedman's test was used when necessary. For most kinematic parameters, with the exception of knee flexion-extension (<i>p</i> = 0.474) and shoulder flexion-extension (<i>p</i> = 0.094), significant differences were found between normal and walking with poles for both the left and right side of the body and no differences due to the type of pole. Differences between the left and right movement ranges were identified only for the ankle inversion-eversion parameter (gait without poles <i>p</i> = 0.047; gait with classical poles <i>p</i> = 0.013). In the case of spatiotemporal parameters, a reduction in the cadence step value using mechatronic poles and the stance phase using classical poles compared to normal walking was observed. There was also an increase in the values for step length and step time regardless of the type of poles, stride length, and swing phase when using classical poles and stride time when using mechatronic poles. The differences between the right and left sides of the measurement occurred when walking with both types of poles for single support (gait with classical poles <i>p</i> = 0.003; gait with mechatronic poles <i>p</i> = 0.030), stance phase (gait with classical poles <i>p</i> = 0.028; gait with mechatronic poles <i>p</i> = 0.017) and swing phase (gait with classical poles <i>p</i> = 0.028; gait with mechatronic poles <i>p</i> = 0.017). Mechatronic poles can be used in the study of the biomechanics of gait in real-time with feedback on its regularity because no statistically significant differences were found between the NW gait with classical and mechatronic poles in the studied men with ischemic heart disease.</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"1135733"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250095/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9618131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}