Journal of Medical and Biological Engineering最新文献

{"title":"Frequency Domain Analysis of Hamstring Activation During Jump-Landing Performance by Athletes with Diverse Training Regimens","authors":"Amornthep Jankaew, Yih-Kuen Jan, Cheng-Feng Lin","doi":"10.1007/s40846-024-00857-9","DOIUrl":"https://doi.org/10.1007/s40846-024-00857-9","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>This study investigated hamstring activation in the frequency domain and jump-landing performance in a specialized-training athletic population and a healthy control group.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Thirty male athletes engaged in power training, both with and without jumping sports, or endurance training, together with ten healthy participants were recruited. Surface EMG electrodes were attached to the bellies of the lateral hamstring (LH) and medial hamstring (MH). The median EMG frequency was analyzed during takeoff, flight, before ground contact, after ground contact, and landing in countermovement jumps (CMJ) and drop-vertical jumps (DJ). Kinetic outcomes were also investigated.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The power-trained athletes (with and without jumping sports) exhibited a lower median EMG frequency in the MH during takeoff (<i>p</i> = 0.001 for DJ) and in the LH (<i>p</i> = 0.008 for DJ) and MH during landing (<i>p</i> = 0.004 for CMJ and 0.001 for DJ) compared with the endurance-trained or control groups. Furthermore, the power-trained group demonstrated greater jump heights (<i>p</i> = 0.009 for CMJ and <i>p</i> = 0.003 for DJ). All the athletic groups showed a lower landing force (<i>p</i> = 0.022) and loading rate (<i>p</i> = 0.043) in CMJ than the control group.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Training background differences influenced hamstring recruitment during jumping. Power-trained athletes exhibited a lower median EMG frequency and better jumping performance. All the athletes demonstrated a more effective landing strategy than the control group. These findings suggest the potential for enhancing athletic performance and aiding in landing strategy by exploiting different training styles.</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"5 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140598905","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}

{"title":"Honeybee Silk and Chitosan: A Promising Biocomposite for Wound Healing Applications","authors":"Sual Tatlisulu, Erkay Ozgor, Doga Kavaz, Mustafa B. A. Djamgoz","doi":"10.1007/s40846-024-00853-z","DOIUrl":"https://doi.org/10.1007/s40846-024-00853-z","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>Biopolymeric materials, especially composites, are extensively used as wound healing scaffolds in tissue engineering due to their ability to mimic the essential properties of the native tissue. This research aims to investigate the usability of honeybee silk (HS), which could be an alternative silk source to silkworm silk, in tissue engineering (TE) applications. HS, which has not been used in scaffold fabrication, and chitosan (CH), frequently used in TE, were combined to produce a novel and cost-effective biocompatible CH–HS scaffold.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>HS, CH and CH–HS were characterized using XRD, FTIR and SEM to determine structure and functional groups. SEM analysis was performed for different CH concentrations (0.5%, 1% and 2%) and different ratios of CH:HS (1:2, 1:1 and 2:1, respectively). The antioxidant properties, antibacterial activity and as well as biofilm formation and ability to destroy mature biofilm activity of HS and CH–HS were shown. The human breast cancer MDA-MB231 cells were used to investigate possible effects on cell viability proliferation.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The smallest pore size was determined to be 70.7 µm on average at a ratio of 1:1 at 1% CH concentration. The antioxidant properties of HS and CH–HS were shown. The CH–HS showed antibacterial activity against <i>Escherichia coli</i> and <i>Pseudomonas aeruginosa</i>, as well as inhibition of biofilm formation and destruction of mature biofilm. Additionally, the MDA-MB-231 cells appeared significantly elongated and denser when seeded on the CH–HS over 24 h and 48 h.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>This study demonstrated the usability of honeybee silk, a promising but underutilized material, tissue engineering and its potential for future studies. Considering the materials used and our promising results, the synthesized CH–HS scaffold was observed to have microbiological and cellular effects that may be useful in future biomedical applications for wound healing.</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"31 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140298976","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}

{"title":"Semantic Polyp Generation for Improving Polyp Segmentation Performance","authors":"Hun Song, Younghak Shin","doi":"10.1007/s40846-024-00854-y","DOIUrl":"https://doi.org/10.1007/s40846-024-00854-y","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>To improve the performance of deep-learning-based image segmentation, a sufficient amount of training data is required. However, it is more difficult to obtain training images and segmentation masks for medical images than for general images. In deep-learning-based colon polyp detection and segmentation, research has recently been conducted to improve performance by generating polyp images using a generative model, and then adding them to training data.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>We propose SemanticPolypGAN for generating colonoscopic polyp images. The proposed model can generate images using only the polyp and corresponding mask images without additional preparation of input condition. In addition, the semantic generation of the shape and texture of polyps and non-polyp parts is possible. We experimentally compare the performance of various polyp-segmentation models by integrating the generated images and masks into the training data.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The experimental results show improved overall performance for all models and previous work.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>This study demonstrates that using polyp images generated by SemanticPolypGAN as additional training data can improve polyp segmentation performance. Unlike existing methods, SemanticPolypGAN can independently control polyp and non-polyp parts in a generation.</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"6 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140199577","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}

{"title":"Low-KeV Virtual Monoenergetic Dual-Energy CT with Deep Learning Reconstruction for Assessing Hepatocellular Carcinoma","authors":"Takashi Ota, Atsushi Nakamoto, Hiromitsu Onishi, Takahiro Tsuboyama, Shohei Matsumoto, Hideyuki Fukui, Koki Kaketaka, Toru Honda, Kengo Kiso, Mitsuaki Tatsumi, Noriyuki Tomiyama","doi":"10.1007/s40846-024-00855-x","DOIUrl":"https://doi.org/10.1007/s40846-024-00855-x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>To evaluate the diagnostic performance of low-keV virtual monoenergetic imaging (VMI) using dual-energy CT (DECT) with deep learning image reconstruction (DLIR) in patients with hepatocellular carcinoma (HCC).</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>This retrospective study included patients with HCC undergoing DECT scans between February 2019 and March 2022. VMI was reconstructed with hybrid iterative reconstruction (HIR) at 70-keV (HIR70keV) and 40-keV (HIR40keV) and DLIR at 40-keV (DLIR40keV). Two radiologists calculated the contrast-to-noise ratio (CNR) of the HCC. The possible presence of HCC was assessed by two additional radiologists. CNR was compared using Friedman’s test. Diagnostic performance was compared between three groups using Cochran’s Q test and jackknife alternative free-response receiver operating characteristic analysis.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Thirty-two patients (mean age 73.19 ± 11.86, 23 males) with 36 HCCs were enrolled. The CNR of DLIR40keV was significantly higher than HIR70keV and HIR40keV (<i>p</i> &lt; 0.001 and 0.001). The sensitivities for the detection of HCC were HIR70keV, 63.9%; HIR40keV, 72.2%; DLIR40 keV, 83.3%, and HIR70keV, 52.8%; HIR40keV, 61.1%; DLIR40 keV, 77.8% for observers 1 and 2, respectively. DLIR40keV sensitivity was significantly higher than HIR70keV on both readers (<i>p</i> = 0.020 and 0.013). The figures of merit (FOM) were HIR70keV, 0.86; HIR40keV, 0.92; DLIR40 keV, 0.96, and HIR70keV, 0.84; HIR40keV, 0.90; and DLIR40 keV, 0.94 for observers 1 and 2, respectively. For both observers, DLIR40keV FOM was significantly higher than HIR70keV (<i>p</i> = 0.013 and 0.012).</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>DLIR40keV achieved the best CNR among the three groups. HCC detectability was significantly improved at DLIR40keV compared to HIR70keV.</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"283 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140097827","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}

{"title":"Enhancing Diagnostic Accuracy and Efficiency with GPT-4-Generated Structured Reports: A Comprehensive Study","authors":"","doi":"10.1007/s40846-024-00849-9","DOIUrl":"https://doi.org/10.1007/s40846-024-00849-9","url":null,"abstract":"<h3>Abstract</h3> <span> <h3>Purpose</h3> <p>Interpreting free-text contrast-enhanced ultrasound (CEUS) reports can lead to diagnostic errors and prolonged patient waiting times. Generative Pre-trained Transformer (GPT)-4, a state-of-the-art natural language processing model, may improve diagnostic efficiency by generating structured medical reports from unstructured data. This experimental study investigates the impact of GPT-4-generated structured reports on doctors’ diagnostic efficiency in liver nodule CEUS examinations, comparing their performance with that of doctors using conventional free-text reports.</p> </span> <span> <h3>Methods</h3> <p>A total of 159 CEUS reports were collected and structured using GPT-4, and 30 doctors of varying experience levels participated in the study. The performance of doctors using free-text reports was compared with those using structured reports in terms of diagnostic efficiency and accuracy.</p> </span> <span> <h3>Results</h3> <p>The study revealed significant improvements in diagnostic efficiency (20 vs. 17 min) and accuracy (73% vs. 79%) for doctors using GPT-4-generated structured reports compared to traditional free-text reports. This trend was consistent across all experience levels. Qualitative insights from frontline ultrasound doctors provided valuable feedback on the strengths and weaknesses of GPT-4-generated structured reports.</p> </span> <span> <h3>Conclusion</h3> <p>GPT-4-generated structured reports show potential in enhancing diagnostic efficiency and accuracy in liver nodule CEUS examinations. Despite certain limitations, refining GPT-4 or similar natural language processing models in future iterations can yield greater benefits. Future research should explore broader clinical applications and investigate GPT models and natural language processing techniques in areas such as decision support, patient communication, and medical research, ultimately contributing to improved patient care and healthcare outcomes.</p> </span> <span> <h3>Clinical Relevance</h3> <p>This study suggests that GPT-4-generated structured reports enhance diagnostic efficiency and accuracy in liver nodule CEUS examinations, potentially improving patient care and outcomes by reducing diagnostic errors and patient wait times.</p> </span>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"10 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945943","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}

{"title":"Measurement and Analysis of Impulse Source Produced by Ballistic Shock Wave Therapy Device in Different Medium Using PVDF Sensor","authors":"Fan Fan, Liansheng Xu, Qiong Wu, Fei Shen, Li Wang, Fengji Li, Yubo Fan, Haijun Niu","doi":"10.1007/s40846-024-00845-z","DOIUrl":"https://doi.org/10.1007/s40846-024-00845-z","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>Radial extracorporeal shock wave therapy (rESWT) has been used in clinical and rehabilitation fields. However, the formulation of related clinical treatment protocols and the full potential of its therapeutic efficacy are constrained due to limited understanding of shock wave sources. This study aimed to further clarify the characteristics of shock wave sources generated at different medium interfaces.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Shock wave generated by rESWT device at the interface of different media (soft tissue-mimicking-phantom, water and air) was measured based on flexible polyvinylidene fluoride (PVDF) sensors. The temporal and spectral characteristics of the shock wave source were analyzed.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The wave generated at the phantom interface was similar to that at the water interface under the same impact pressure, both being largely different from that at the air interface, where the absolute value of the peak pressure was significantly reduced. The spectral properties of the shock wave generated in different media were similar, with distinct peak frequencies, varying modulation frequencies in phantom (12.2 kHz), water (8.5 kHz), and air (7.2 kHz), and a relatively constant carrier frequency (between 82 and 83 kHz). Under the different impact pressures, there were no variations in the peak frequency at the same medium interface, indicating that the impact pressure mainly impacts the shock wave amplitude, but not the peak frequency.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>The shock waves generated at different medium interfaces exhibited temporal and spectral differences. Therefore, measurement results in biological soft tissues cannot be simply replaced by the measurement results in air or water. The results of this study are expected to provide important information for evaluating rESWT devices and optimizing clinical shock wave treatment protocols.</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"110 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139925908","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}

{"title":"A New Method for Predicting the Porosity of an Interbody Fusion Cage by the Equivalent Material Method","authors":"","doi":"10.1007/s40846-024-00847-x","DOIUrl":"https://doi.org/10.1007/s40846-024-00847-x","url":null,"abstract":"<h3>Abstract</h3> <span> <h3>Purpose</h3> <p>The interbody fusion cage will cause stress shielding problems due to its material characteristics. This paper aims to find out the change in biomechanical characteristics of porous interbody fusion cages under different conditions and provide a theoretical basis for solving the stress shielding problem.</p> </span> <span> <h3>Methods</h3> <p>The properties of microscopic cells with different porosities are obtained by conducting virtual experiments to demonstrate the material strength of the macroscopic model. Based on the obtained equivalent material properties, the mechanical properties of the porous Ti6Al4V interbody fusion cage in the spine were investigated, and the stress reduction rate under different porosities was analyzed by changing the shape of the fusion cage.</p> </span> <span> <h3>Results</h3> <p>The elastic modulus of the porous fusion cage can be approximately expressed as “<em>E</em> ≈ <em>E</em>₀ (1 − 1.62<em>P </em>− 1.41<em>P</em>² + 4.22<em>P</em>³ − 2.22<em>P</em>⁴).” When <em>P</em> = 90%, the Von Mises stress is reduced by more than 70%, but it approaches the yield strength (85 MPa), and the compressive stress approaches 45 MPa. The two stress reduction rates on the fusion cage with 55% &lt; <em>P</em> &lt; 90% can be approximately expressed in the form of “<em>A</em> + <em>Bx</em> + <em>Cx</em>² + <em>Dx</em>³.”</p> </span> <span> <h3>Conclusion</h3> <p>The relationship between elastic modulus and porosity of equivalent materials is obtained, which provides a theoretical basis for predicting the porosity of fusion cages. Under the osteotomy scheme of this model, two expressions of “<em>P</em>–<em>μ</em>” are obtained, and the applicability of the formulas is verified, which lays a theoretical foundation for further research on the stress problem of the fusion cage.</p> </span>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"42 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139759672","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}

{"title":"An Integrated Framework for Assessing the Quality of Non-invasive Fetal Electrocardiography Signals","authors":"Yuwei Zhang, Aihua Gu, Zhijun Xiao, Caiyun Ma, Zhongyu Wang, Lina Zhao, Chenxi Yang, Jianqing Li, Chengyu Liu","doi":"10.1007/s40846-024-00852-0","DOIUrl":"https://doi.org/10.1007/s40846-024-00852-0","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>Non-invasive fetal electrocardiography (fECG) offers crucial information for assessing early diagnosis of fetal distress and morbidity. However, the non-invasive fECG signals probably contain various non-stationary noises, which may generate a bad influence on signal processing. Signal quality assessment plays a crucial role in accurate feature estimation for obtaining high-quality signals.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>This study develops a comprehensive framework for the assessment of signal quality for non-invasive fECG signals. Firstly, the ECG collection equipment is employed to gather abdominal ECG signal data from eight pregnant women in the hospital. Secondly, signal preprocessing is operated including signal segmentation and data normalization process. Subsequently, a total of thirty-seven signal quality indexes (SQIs) are extracted which consist of the amplitude-based SQI, R-wave-based SQI, statistical-based SQI, fractal dimension SQI, power spectrum distribution-based SQI, and entropy domain-based SQI. Then, in order to reduce the dimensionality of features and improve the experimental performance, information gain is carried out to identify the subset of the optimal features. At last, the classifier combines different feature numbers to classify the quality of the non-invasive fECG signal.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Ten classifiers are selected to perform a classification task between good-quality and bad-quality abdominal signals. The experimental results show that the combination of twenty-four effective features and random forest achieved the highest classification outcome, which in terms of the ACC, and F1 scores are 0.9508, and 0.9510, respectively.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>The experimental results indicate that our work can reliably assess the signal quality for non-invasive fECG signals and filter out good-quality signals. This proposed algorithm can help to improve the accuracy of fetal signal extraction and fetal heart rate estimation for further analysis, which is beneficial to promoting fetal health monitoring.</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"8 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139759764","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}

{"title":"Preliminary Study of Dental Caries Detection by Deep Neural Network Applying Domain-Specific Transfer Learning","authors":"Toshiyuki Kawazu, Yohei Takeshita, Mamiko Fujikura, Shunsuke Okada, Miki Hisatomi, Junichi Asaumi","doi":"10.1007/s40846-024-00848-w","DOIUrl":"https://doi.org/10.1007/s40846-024-00848-w","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>The purpose of this study is to confirm whether it is possible to acquire a certain degree of diagnostic ability even with a small dataset using domain-specific transfer learning. In this study, we constructed a simulated caries detection model on panoramic tomography using transfer learning.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>A simulated caries model was trained and validated using 1094 trimmed intraoral images. A convolutional neural network (CNN) with three convolution and three max pooling layers was developed. We applied this caries detection model to 50 panoramic images and evaluated its diagnostic performance.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The diagnostic performance of the CNN model on the intraoral film was as follows: C0 84.6%; C1 90.6%; C2 88.6%. Finally, we tested 50 panoramic images with simulated caries insertion. The diagnostic performance of the CNN model on the panoramic image was as follows: C0 75.0%, C1 80.0%, C2 80.0%, and overall diagnostic accuracy was 78.0%. The diagnostic performance of the caries detection model constructed only with panoramic images was much lower than that of the intraoral film.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Domain-specific transfer learning methods may be useful for saving datasets and training time (179/250).</p>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"1 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139760043","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}

{"title":"An Effective Integrated Framework for Fetal QRS Complex Detection Based on Abdominal ECG Signal","authors":"","doi":"10.1007/s40846-024-00850-2","DOIUrl":"https://doi.org/10.1007/s40846-024-00850-2","url":null,"abstract":"<h3>Abstract</h3> <span> <h3>Purpose</h3> <p>Non-invasive fetal electrocardiography (fECG) has a promising application prospect in offering crucial information for assessing early diagnosis and intervention of fetal distress and morbidity during pregnancy. Nevertheless, the detection and extraction of fetal ECG signals are still challenging since fetal ECG signals are exceedingly weak, and liability is affected by maternal ECG and other noises.</p> </span> <span> <h3>Methods</h3> <p>In this study, a comprehensive framework is developed for fECG signal extraction and fetal QRS complex location. A negative entropy-based blind source separation (BSS) method combined with a template subtraction (TS) method is exploited to obtain fECG signals from abdominal ECG (aECG) recordings. It effectively combines the arithmetic characteristics of fixed-point iteration and the effectiveness of template filtering, making the algorithm simple and fast to obtain clearer fetal ECG signals. Additionally, the combination of filter transformation and adaptive threshold algorithm is adopted for fetal QRS wave location. The filtering operation makes the fECG signal into single peaks. The design of low threshold and high threshold ensures that R waves can be located and detected more accurately.</p> </span> <span> <h3>Results</h3> <p>The performance results in terms of diagnostic sensitivity (Se), positive predictive value (PPV), accuracy (ACC), and harmonic mean (F1) scores are 96.12%, 96.20%, 92.60%, and 95.94% for the PCDB database, respectively, and 99.78%, 99.10%, 98.88%, and 99.44% for the ADFECGDB database. In addition, the results in terms of Se, PPV, ACC, and F1 scores are 99.46%, 97.89%, 97.37%, and 98.67% for the AECGDB database, respectively.</p> </span> <span> <h3>Conclusion</h3> <p>This study demonstrates that the proposed framework exhibits superior performance, which can improve the accuracy of fetal QRS complex detection.</p> </span>","PeriodicalId":50133,"journal":{"name":"Journal of Medical and Biological Engineering","volume":"35 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139759660","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}