Current Directions in Biomedical Engineering最新文献_第2页

Universal test bench for repeatable multiparametric cochlear implant insertion tests 可重复多参数人工耳蜗植入试验的通用试验台

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1032

Georg Böttcher-Rebmann, Vera Lange, Viktor Schell, Jakob Cramer, Thomas Lenarz, Thomas S. Rau

{"title":"Universal test bench for repeatable multiparametric cochlear implant insertion tests","authors":"Georg Böttcher-Rebmann, Vera Lange, Viktor Schell, Jakob Cramer, Thomas Lenarz, Thomas S. Rau","doi":"10.1515/cdbme-2023-1032","DOIUrl":"https://doi.org/10.1515/cdbme-2023-1032","url":null,"abstract":"Abstract Introduction: In cochlear implant surgery, the insertion of the electrode array (EA) into the cochlea is critical as its implementation can influence the preservation of residual hearing. Insertion tests are the primary method for basic research on parameters influencing the insertion and help to further improve the design of EAs and surgical techniques. With automated insertion devices close to clinical application, a consensus on optimal insertion parameters is needed, which requires reliable testing methods. Moreover, the limited availability of EAs needs to be considered. We propose a test setup that provides high repeatability and flexibility for various research questions. Methods: Design requirements for multiple types of experiments such as variability of insertion speed or trajectory as well as cochlear geometry guided the computer aided design of the test bench. Moreover, repeated insertions with the same EA were supposed to be possible. To evaluate its functionality, insertion tests into a 3D printed cochlea model were performed and recorded. Results: The central components of the test bench are a linear actuator driving the EA and a goniometer changing the orientation of the target - a cochlea model or a specimen. A force sensor can be mounted below the target to measure forces in its frame of reference. The experimental results show high reproducibility of insertion forces for recurring trajectories with a single EA. Conclusion: The test bench enables reproducible insertion tests with a high number of repetitions and reduced EA usage. This allows a more detailed investigation of broadly discussed influences on the insertion such as the insertion speed or trajectory as well as cochlear geometry and can thereby drive future EA development.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135393631","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

Optimization Techniques for Semi-Automated 3D Rigid Registration in Multimodal Image-Guided Deep Brain Stimulation 多模态图像引导深部脑刺激中半自动三维刚性配准的优化技术

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1089

Fadil Al-Jaberi, Melanie Fachet, Christoph Hoeschen, Matthias Moeskes, Martin Skalej

{"title":"Optimization Techniques for Semi-Automated 3D Rigid Registration in Multimodal Image-Guided Deep Brain Stimulation","authors":"Fadil Al-Jaberi, Melanie Fachet, Christoph Hoeschen, Matthias Moeskes, Martin Skalej","doi":"10.1515/cdbme-2023-1089","DOIUrl":"https://doi.org/10.1515/cdbme-2023-1089","url":null,"abstract":"Abstract Multimodal image registration is vital in Deep Brain Stimulation (DBS) surgery. DBS treats movement disorders by implanting a neurostimulator device in the brain to deliver electrical impulses. Image registration between computed tomography (CT) and cone beam computed tomography (CBCT) involves fusing images with a specific field of view (FOV) to visualize individual electrode contacts. This contains important information about the location of segmented contacts that can reduce the time required for electrode programming. We performed a semi-automated multimodal image registration with different FOV between CT and CBCT images due to the tiny structures of segmented electrode contacts that necessitate high accuracy in the registration. In this work, we present an optimization workflow for multi-modal image registration using a combination of different similarity metrics, interpolators, and optimizers. Optimization-based rigid image registration (RIR) is a common method for registering images. The selection of appropriate interpolators and similarity metrics is crucial for the success of this optimization-based image registration process.We rely on quantitative measures to compare their performance. Registration was performed on CT and CBCT images for DBS datasets with an image registration algorithm written in Python using the Insight Segmentation and Registration Toolkit (ITK). Several combinations of similarity metrics and interpolators were used, including mean square difference (MSD), mutual information (MI), correlation and nearest neighbors (NN), linear (LI), and B-Spline (SPI), respectively. The combination of a correlation as similarity metric, B-Spline interpolation, and GD optimizer performs the best in optimizing the 3D RIR algorithm, enhancing the visualization of segmented electrode contacts. Patients undergoing DBS therapy may ultimately benefit from this.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135393641","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

A comparative evaluation of spatial pooling methods for surgical tool detection 空间池方法在手术工具检测中的比较评价

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1054

Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Paul D. Docherty, Thomas Neumuth, Knut Moeller

引用次数: 0

Acoustic Emission Analysis (AEA) in unilateral leg amputees as a future quality tool in orthopaedic technology to evaluate the adjusted prosthesis in relation to gonarthritis 单侧截肢者的声发射分析(AEA)作为未来骨科技术的质量工具来评估与膝关节炎相关的调整假体

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1179

Joerg Subke, Adeline Keller, Hermawan Hermawan, Michael Schmeiler, Benedict Schneider, Hans-Joachim Schwalbe

{"title":"Acoustic Emission Analysis (AEA) in unilateral leg amputees as a future quality tool in orthopaedic technology to evaluate the adjusted prosthesis in relation to gonarthritis","authors":"Joerg Subke, Adeline Keller, Hermawan Hermawan, Michael Schmeiler, Benedict Schneider, Hans-Joachim Schwalbe","doi":"10.1515/cdbme-2023-1179","DOIUrl":"https://doi.org/10.1515/cdbme-2023-1179","url":null,"abstract":"Abstract In orthopaedic technology unilateral leg amputees are provided with prosthesis which are attached through a shaft to the remaining part of the leg. The prosthesis legs are built according to manufacturer’s specifications and get adjusted to the individual needs through motion analysis. If the prosthesis is not adjusted correctly to the individual needs of the user, the chance for development of arthritis in the remaining knee joint is greatly increased. The goal of this paper is to develop a procedure based on AEA to detect signs of arthritis in the remaining knee joint early and the base of a procedure for a future assessment of the quality of the care. The measurement system consists of the AEA - measurement device, a force plate to measure ground reaction forces, two strain gauges which are attached to handles on a test rig and two video cameras which record the movement from frontal and sagittal view. The amputee performs a standard movement in the test rig which consists of three knee bends in ten seconds while wearing the prosthesis legs. The test rig is provided so the amputee can support themselves using arms and hands as prosthesis’ support during the extension phase of the knee bend. The posture and load of the knee joint during the movement is analyzed with the video and force data. The ground reaction forces show the load distribution between the remaining leg and the prosthesis and its support during the movement. The hand forces give clues how well the amputee can balance and which arm is favored under load. By combining kinematic data and AEA the state of the load transfer zones can be evaluated. Thus, it’s possible to examine the remaining knee joint for defects and evaluate the quality of the prosthesis adjustment.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135393644","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

U-Net-based SUV calculation in FDG-PET imaging of mice brain for enhanced analysis 基于u - net的SUV计算在FDG-PET小鼠脑成像中进行增强分析

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1073

Ali Pashazadeh, Forough Jafarian, Christoph Hoeschen, Kaveh Tanha

{"title":"U-Net-based SUV calculation in FDG-PET imaging of mice brain for enhanced analysis","authors":"Ali Pashazadeh, Forough Jafarian, Christoph Hoeschen, Kaveh Tanha","doi":"10.1515/cdbme-2023-1073","DOIUrl":"https://doi.org/10.1515/cdbme-2023-1073","url":null,"abstract":"Abstract Positron emission tomography (PET) is a widely used imaging modality in nuclear medicine for a variety of applications. Amongst the methods used for the quantifying and interpretation of PET images, the standardized uptake value (SUV) is a widely-adopted semi-quantitative tool that supplements visual understanding with quantitative information. SUV is used in both clinical and preclinical practices to report the status of various normal organs and tumors under investigation using PET imaging. While the determination of SUVs is typically done manually, which can be tedious, artificial intelligence (AI) can be utilized to enhance the efficiency of the process. In this study, a U-Net-based approach was employed for semi-automated determination of SUV in FDG-PET scans of mice brains. First, a U-Net model was trained using 50 FDG-PET images of six mice to perform the automatic segmentation task. The trained model then delineated the brain of a mouse which was then processed by a short in-house code to extract data and calculate the SUV. The process was also replicated in a manual way for comparison purposes. The comparison of the results from the U-Net-based segmentation method and the conventional manual method at nine different time points revealed that there were errors of less than 4.5% in eight out of the nine-time points. Although our U-Net model’s performance needs improvement, adapting a well-trained AIbased approach for SUV determination, particularly in preclinical studies, can help reduce the workload of organ delineation and minimize associated errors, facilitating SUV determination.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135393949","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

Test methods for evaluation of balloon expandable vascular stents – measurement of radial strength and stiffness 评价球囊可膨胀血管支架的试验方法。径向强度和刚度的测量

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1104

Christoph Brandt-Wunderlich, Wolfram Schmidt, Alexander Thiesen, Klaus-Peter Schmitz, Falk Reinhardt, Michael Stiehm, Stefan Siewert

引用次数: 0

Muscle stimulation for peripheral venous oxygen saturation estimation using photoplethysmography: a proof-of-concept 肌肉刺激外周静脉氧饱和度估计使用光体积脉搏图:概念证明

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1037

Idoia Badiola, Chenglin Lyu, Arne Ferchland, Fabian Comes, Vladimir Blazek, Steffen Leonhardt, Markus Lueken

{"title":"Muscle stimulation for peripheral venous oxygen saturation estimation using photoplethysmography: a proof-of-concept","authors":"Idoia Badiola, Chenglin Lyu, Arne Ferchland, Fabian Comes, Vladimir Blazek, Steffen Leonhardt, Markus Lueken","doi":"10.1515/cdbme-2023-1037","DOIUrl":"https://doi.org/10.1515/cdbme-2023-1037","url":null,"abstract":"Abstract The body’s ability to balance oxygen supply and demand can be compromised in conditions such as shock, sepsis, and heart failure. Thus, measuring venous oxygen saturation (SvO2) simultaneously with the well-established peripheral arterial oxygen saturation can help in the clinical management of these conditions. Some authors have suggested a non-invasive SvO2 estimation method that acquires venous blood volume variations generated through the calf muscle pump using photoplethysmography (PPG): the Venous Muscle Pump Test (VMPT). However, the technique presents significant variability in the rhythm and speed of the foot dorsal flexions needed for the VMPT and cannot be performed on unconscious subjects and those with reduced mobility. This study proposes using functional electrical stimulation (FES) to stimulate the calf muscle and generate rhythmic and reproducible muscle contractions. A human proof-of-concept study was conducted with three healthy young male participants. The PPG signals achieved through the VMPT with conventionally active and FES-induced movements were compared. We found that FES-induced movement produced reproducible venous blood volume variations comparable to the ones induced by the active movement. However, it also leads to lower venous refilling time and lower muscle power. Although further individualized tuning of the stimulation parameters is needed to achieve more conclusive results, FES-induced movement proves to be a promising alternative to the conventional VMPT technique to measure venous oxygen saturation and assess venous insufficiency in specific clinical situations.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135394428","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

Fabrication and characterization of flexible microelectrode arrays for the long-term recording of mammalian brain slices 用于哺乳动物脑切片长期记录的柔性微电极阵列的制备和表征

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1094

Hanna Frese, Andrea Kauth, Henner Koch, Jonas Ort, Sven Ingebrandt

引用次数: 0

Prediction of Arousal and Valence State from Electrodermal Activity using Wavelet based ResNet50 Model 基于小波的ResNet50模型预测皮肤电活动的唤醒和价态

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1139

Abhinav Anthiyur Aravindan, Sriram Kalyan Chappidi, Anirudh Thumma, Rohini Palanisamy

{"title":"Prediction of Arousal and Valence State from Electrodermal Activity using Wavelet based ResNet50 Model","authors":"Abhinav Anthiyur Aravindan, Sriram Kalyan Chappidi, Anirudh Thumma, Rohini Palanisamy","doi":"10.1515/cdbme-2023-1139","DOIUrl":"https://doi.org/10.1515/cdbme-2023-1139","url":null,"abstract":"Abstract Real time physiological signals like Electrodermal Activity (EDA), measured using wearable devices, could be used for emotion recognition, thus enabling new paradigms of health monitoring, including mental health. This paper analyses EDA signals, a measure of sympathetic nervous system activity, which plays a significant role in emotional regulation. A public database was used to categorize emotions based on valence and arousal values. The Continuous Wavelet Transform (CWT) was used to obtain the scalograms of the signals. The scalograms were then fed into the deep learning models, VGG16 and ResNet50, to recognize emotions. VGG16 gives a Pearson Linear Correlation Coefficient (PLCC) value of 0.7199 for valence and 0.7593 for arousal, with Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) values of 0.7653 and 1.0284, respectively. ResNet50 performs better, with a PLCC value of 0.7763 for valence and 0.8207 for arousal, and lower MAE and RMSE values of 0.7158 and 0.8712, respectively. This study proposes an adapted ResNet50 model for emotion recognition which could be integrated into wearable devices as a prospective feature.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135394539","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

Machine-based emotion-assessment in waiting rooms – a feasibility and acceptance study 候诊室中基于机器的情绪评估——可行性和可接受性研究

Current Directions in Biomedical Engineering Pub Date : 2023-09-01 DOI: 10.1515/cdbme-2023-1029

Thomas Wittenberg, Dominik Seuß, Jaspar Pahl, Eike Binz, Yon-Dschun Ko

{"title":"Machine-based emotion-assessment in waiting rooms – a feasibility and acceptance study","authors":"Thomas Wittenberg, Dominik Seuß, Jaspar Pahl, Eike Binz, Yon-Dschun Ko","doi":"10.1515/cdbme-2023-1029","DOIUrl":"https://doi.org/10.1515/cdbme-2023-1029","url":null,"abstract":"Abstract Background: Due to an aging society and changing health behaviors, emergency room crowding has become a major problem in western health care systems. Empowering patients and health care workers to assess necessary and relevant information is critical to streamline clinical workflows. Health kiosks, designed for services like self-check-in or (ideally contactless) health self-assessment may be instrumental in solving this issue. Based on the collected data, automated workflows such as flagging critical patients, inducing specific diagnostics or early symptomatic treatment could be implemented. Objective: Using an AI-supported software, which visually analyzes and categorizes facial expressions, the emotional status of hemato-oncologic patients in a German oncology outpatient clinic was examined. Additionally a survey was conducted, evaluating the acceptance of such a self-assessment solution. Results: 98% of the participants were not stressed by the real-time emotion analysis. However, the current set of registered emotion categories was found to be only partially sufficient to adequately describe the emotional status of the patients. More importantly, 88% of the participants found such a system to be meaningful. Also, 84% of the participants agreed that such a self-analysis could be of potential assistance. No relevant generation- or gender-specific differences could be observed. Discussion: Automated analysis of patients’ emotional status can be a first step toward a more comprehensive assessment of the respective health status. Patients, in particular the elderly, approve to the vision and development of such a system. Next steps are a further improvement of the AI-based emotion recognition software with respect to more emotional states as well as the definition, inclusion and ideally contactless acquisition of physical biomarkers (as e.g. heart rate or respiratory rate) determining physical and mental well-being.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135394546","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