journal: Biomedical Engineering / Biomedizinische Technik

Impact Factor: 1.8

Zeitschrift Open Access

Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Jens Haueisen
Herausgegeben von: Peter Augat , Daniel Baumgarten , Thomas M. Deserno , Frédéric Heim , Steffen Leonhardt , Klaus M. Radermacher , Erik Schkommodau , Thomas Stieglitz und Gudrun Wagenknecht

Sprache: Englisch

Erstveröffentlichung: 1. Januar 1956

Erscheinungsweise: 6 Hefte pro Jahr

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Manuskript einreichen Informationen für Autor*innen

Über diese Zeitschrift

Objective
Biomedical Engineering / Biomedizinische Technik (BMT) is a high-quality forum for the exchange of knowledge in the fields of biomedical engineering, medical information technology and biotechnology/bioengineering. As an established journal with a tradition of more than 60 years, BMT addresses engineers, natural scientists, and clinicians working in research, industry, or clinical practice. All articles are peer-reviewed. All manuscripts must be submitted in English.

Starting 2025, the journal will be transferred to Diamond Open Access on a year-by-year basis. All articles will thus immediately appear under the Creative Commons license CC-BY. There will be no publication costs for the authors. The Open Access transformation is based on Subscribe-to-Open, an alternative model that enables the full Open Access transformation of journals through the continuation of existing subscriptions. The prerequisite for successful transformation is that subscriptions are continued to the same extent as before. The editors of the Biomedical Engineering / Biomedizinische Technik and the publisher De Gruyter would therefore like to thank all subscribers for their support, to make the transformation to Open Access possible.

Topics

diagnostic imaging
image processing
biosignal processing
modelling and simulation
biomechanics
information and communication in medicine
telemedicine and e-health
surgery
minimum invasive interventions
endoscopy and image-guided therapy
diagnostic and therapeutic instrumentation
clinical engineering
micro- and nanosystems in medicine
active implants
biosensors
neuro-engineering
neural systems
rehabilitation and prosthetics
biomaterials
cellular and tissue engineering
artificial organs
biomedical engineering for audiology, ophthalmology, emergency and dental medicine
general subjects (e.g., education and training, health technology assessment)
special topics (e.g., linking proteomics and genomics with biomedical engineering, emergency medicine)

Article formats
Reviews, Research Articles, Short Communications

Ihre Vorteile

Your benefits:

Imperative topic
Applicative approach to engineering facilities and methods
New areas of application of cutting-edge technologies in modern medicine
State-of-the-art solutions for requirements in current medical practice
Ahead-of-print online publication

Geschichte

The Journal was founded in 1956 as the official journal of the German Society of Biomedical Engineering Biomedizinische Technik and published firstly in German. In a transition period as of 2004 publication in German and English was possible, but since 2010 the journal appears only in English. Consistently the title was changed to Biomedical Engineering – Biomedizinische Technik.

Other publications in the field

Journals:

Books, books series and multi-volume works:

„Biomedizinische Technik” (12 Volumes). (Overview)
S. Dickel, M. Franzen, Ch. Kehl, Herausforderung Biomedizin. Gesellschaftliche Deutung und soziale Praxis, “VerKörperungen/MatteRealities - Perspektiven empirischer Wissenschaftsforschung 14”, 2014.(Overview)
D. Hochmann, Prüf- und Bewertungsmethoden für Knieorthesen, “Forschung für die Rehabilitationstechnik 1”, 2012.(Overview)
K. König, A. Ostendorf (Eds.), Optically Induced Nanostructures. Biomedical and Technical Applications, 2015. (Overview)
W. Niederlag, H. U. Lemke, H. Lehrach, H.-O. Peitgen, Der virtuelle Patient, “Health Academy 1”, 2014.(Overview)
W. Niederlag, H. U. Lemke et al., Der digitale Operationssaal, “Health Academy 2”, 2014.(Overview)
I. Roterman-Konieczna (Ed.), Simulations in Medicine. Pre-Clinical and Clinical Applications, 2015.(Overview)
J. Werner, Kooperative und autonome Systeme der Medizintechnik. Funktionswiederherstellung und Organersatz, 2014.(Overview)

Vorherige Titel

2012: from Biomedizinische Technik – Biomedical Engineering to Biomedical Engineering – Biomedizinische Technik

Open Access
Evaluation criteria for mobile X-ray devices – a novel benchmark based on literature review and lead user interviews in trauma surgery and orthopaedics

1. Oktober 2025

Tobias Barth, Annette Bretin, Lina Behrends, Matthias Münch, Robert Wendlandt, Arndt-Peter Schulz

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Objectives The study aims on evaluation criteria applicable for the development process of new mobile 3D X-ray imaging devices, based on existent knowledge from literature and user expertise. Methods For this purpose, a structured literature review was performed to outline limitations and opportunities of established systems on the market. Additionally, medical professionals from various medical fields were interviewed, following a structured interview protocol, to identify critical evaluation aspects from a user perspective. Results The study identified a total of 52 evaluation criteria, which were categorized into the following domains: clinical application and manageability, image quality, radiation dose and risk of infection. The analysis of user needs, subsequent summarization, and rating of these needs will serve as a new benchmark for the evaluation of both existing and new devices. This will provide guidance to procurement, medical experts, and manufacturers. Conclusions While the structured evaluation of mobile X-ray devices is possible, consultation of the users regarding their weighting of varying needs will remain an important aspect of the process. The evaluation items can serve as a starting point for this analysis.
Open Access
Research progress and future prospects in intelligent lung sound diagnosis: models, lightweight design, and hardware platform implementation

19. September 2025

Xudong Lu, Jiehong Fang, Wan’ang Xiao, Jingzhu Wu

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Lung sounds, as an important physiological signal of human body, play a crucial role in the diagnosis and monitoring of respiratory diseases. In recent years, deep learning-based lung sound intelligent recognition technology has made significant progress in the field of medical auxiliary diagnosis, particularly with the deployment of deep learning models on edge devices to achieve local inference and low-latency diagnosis. This has become a key direction in the development of lung sound recognition systems. This paper systematically reviews the fundamental processes of lung sound recognition and analysis, focusing on the construction of lung sound classification models, model lightweight design, and the latest research progress in deploying these models on embedded systems, FPGA, and other hardware platforms. Additionally, the paper looks forward to the application prospects and development trends of this technology in the field of intelligent lung sound recognition. In particular, deployment pathways grounded in hardware–software co-design on embedded and edge platforms are poised to further advance health monitoring systems. This paper provides a comprehensive reference for understanding the key aspects of lung sound recognition technology, from algorithm research to hardware implementation.
Open Access
Analysis of orthodontic aligner biocompatibility: leachable compounds of different aligner materials

15. September 2025

Thomas Wendl, Erich Leitner, Brigitte Wendl, Peter Proff

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Objectives the aim of this study was to clarify the biocompatibility of different tooth repositioning splints (aligners). This included the characterization of the volatile fraction by headspace solid phase microextraction coupled to gas chromatography mass spectrometry, simulation of leachable organic compounds using artificial saliva and the quantitation of bisphenol A and bisphenol S after extraction. Methods Four different aligners were characterized in this study, these included two splints with novel shape memory properties: a printable aligner made of the resin Tera Harz TC-85 DAC (Graphy Inc., South Korea) and a self-manufactured SMP-Aligner consisting of the components polypropylene carbonate and thermoplastic polyurethane. The other two aligners were conventional, thermoformable aligners: CA® Pro Clear Aligner (Scheu Dental GmbH, Germany) and Erkodur-al (Erkodent Erich Kopp GmbH, Germany). Results no BPA was found in all four samples after 72 h. BPS was found in one Aligner. The most leachable compounds were found in the samples of the SMP- and the direct printed Graphy-Aligner. Most of the compound release occurred during the first 24 h. Conclusions the cumulative exposure effect from aligner wear should be carefully considered, although the current research indicates that the levels of leachable compounds are generally low.
Open Access
Optimized design of porous dental implant structures based on triply periodic minimal surface (TPMS)

20. August 2025

Songqing Chen, Xiaoying Liu, Chenjian Liao, Xiangzhen Chen, Huicai Lai, Jiancheng Lv

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Objectives This study aims to optimize the design of porous dental implants using triply periodic minimal surfaces (TPMS) to address stress shielding caused by elastic modulus mismatch between titanium implants and bone tissue, while enhancing osseointegration through controlled porosity. Methods Two TPMS architectures (D-type and G-type) were modeled via MathMod and Rhino software, with porosity controlled by parameter t. Finite element analysis (FEA) evaluated mechanical properties under porosities of 40 %, 60 %, and 80 %, and stress distribution in a patient-specific mandibular model under 200 N masticatory load. Results Both D- and G-type structures met mechanical requirements at ≤60 % porosity. The D-type exhibited optimal stress transfer at 60 % porosity, whereas G-type at 80 % porosity exceeded yield strength due to thin walls. Porous designs reduced cortical-cancellous bone stress differences by 30–50 %, mitigating stress shielding. The interconnected network facilitated bone ingrowth. Conclusions TPMS-based porous implants with 40–60 % porosity balance mechanical strength and stress distribution, offering personalized solutions for bone quality adaptation. Future work should validate long-term stability through in vitro experiments.
Open Access
Multi-stage image pyramid network for coarse-to-fine segmentation of temporomandibular joint in CBCT images

21. Juli 2025

Piaolin Hu, Jupeng Li, Ruohan Ma, Kai Zhang, Yong Guo, Gang Li

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Objectives Accurate segmentation of the temporomandibular joint (TMJ) in cone beam computed tomography (CBCT) images is crucial for the diagnosis of temporomandibular joint osteoarthritis (TMJ-OA), particularly of the condyle. The aim of this study was to use a multi-stage image pyramid network for precise segmentation of the TMJ in CBCT images. Methods A multi-stage image pyramid network (MIP-Net) was proposed in this study for accurate TMJ segmentation in CBCT images. This network utilizes stepwise down-sampling to form an image pyramid, and feature fusion is employed to integrate features of different scales, resulting in accurate segmentation of the TMJ in CBCT images. Results The network was trained and evaluated using a clinical image dataset, and the dice similarity coefficient (DSC) was 98.02 ± 0.65 %, the average surface distance (ASD) was 0.0605 ± 0.0229 mm, and the Hausdorff distance (HD) was 0.1907 ± 0.0627 mm. Conclusions The proposed MIP-Net achieved accurate segmentation of the TMJ in CBCT images, which may help to improve the clinical diagnosis and treatment of TMJ-OA.
Open Access
Design and analysis of metamaterial superstrate and FSS reflector loaded UWB antenna for the detection and localization of breast tumors

21. Juli 2025

Priyanka Grover, Hari Shankar Singh, Sanjay Kumar Sahu

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Objectives This paper investigates an efficient UWB biosensor that employs monostatic radar-based microwave imaging (RBMI) to identify cancerous cells in human breast tissue. Methods The proposed FSS-loaded lens applicator biosensor assembly combines three designs, including a UWB radiator, a frequency selective surface (FSS) reflector, and a square-shaped split ring metamaterial cell (SSR-M). In Computer Simulation Technology-Microwave Studio (CST-MWS) simulator, a lens applicator (UWB transceiver with SSR-M at its front side) when loaded with an FSS reflector is simulated with a breast phantom (BP), then the system performance is assessed in the context of backscattered parameters, penetration depth (PD), and specific absorption rate (SAR). Experimental validations of the fabricated prototype are captured using the Vector Network Analyzer (VNA). Results/Key findings Signal processing steps are applied over the S 11 signals using MATLAB, to detect the depth/location of the malignant tissue. The proposed system is capable of detecting a minimum tumor size of 4 mm up to a maximum localization depth of 30 mm. The proposed system has an isotropic gain of 3.6 dBi and a SAR of 1.07 W/kg over 1 g of tissue. Conclusions As a result, the proposed biosensor configuration is suitable option for microwave imaging applications.
Open Access
The investigation on EEG characteristic parameters change when executing cognitive ability tasks under centrifuge G acceleration

15. Juli 2025

Yifeng Li, Zhao Jin, Baohui Li, Xiaoyang Wei, Lihui Zhang

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Objectives Flight cognitive ability is the core element of guaranteeing flight safety. This study attempts to explore the basic cognitive operation ability of pilots under overload environment, and provides reference for the research on the index screening and monitoring technology methods cognitive operation ability under centrifuge overload condition. Methods A specific cognitive operation ability task is designed, physiological signals such as electroencephalography (EEG) when performing cognitive ability tasks under human centrifuge overload condition are obtained, and the characteristic parameters changes are studied. Results When performing cognitive tasks, both the beta waves and the Theta/Beta Ratio (TBR) parameters in EEG show certain specific changes after the task starts and in the later stage the task. Conclusions Beta wave energy ratio and TBR parameter can better reflect the changes of pilot’s cognition under overload environment, and the joint research of multiple frequency bands and multiple parameters helps to find the parameters and indicators with the potential to become the physiological monitoring index of pilot’s cognitive operation capacity under overload condition more quickly and better. This study lays a foundation and provides a reference for the follow-up selection of physiological monitoring index of a pilot’s cognitive operation ability and the research of monitoring technology on cognitive operation ability under overload condition.
Open Access
A novel MOSnet model for multi-object segmentation of medical images in micro-computed tomography

1. Januar 2000

Kunpeng Wang, Chunxiao Chen, Yueyue Xiao, Ruoyu Meng, Liang Wang

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Objectives Micro-computed tomography (Micro-CT) is renowned for its high resolution, holding a pivotal role in advancing medical science research. However, compared to CT medical imaging datasets, there are fewer publicly available Micro-CT datasets, especially those annotated for multiple objects, leading to segmentation models with limited generalization abilities. Methods In order to improve the accuracy of multi-organ segmentation in Micro-CT, we developed a novel segmentation model called MOSnet which can utilize annotations from different datasets to enhance the whole segmentation performance. The proposed MOSnet includes a control module coupled with a reconstruction block that forms a multi-task structure, effectively addressing the absence of complete annotations. Results Experiments on 85 contrast-enhanced micro-CTscans and 140 native micro-CTscans for mice demonstrate that MOSnet is superior to the most of advanced segmentation networks. Compared to the best results of ResUnet, Unet3+, DAVnet3+ and AIMOS, our method improved dice similarity coefficient by 4.1 and 2.4 %, increased jaccard similarity coefficient by 4.1 and 3.1 %, and reduced HD95 by 16.3 and 19.3 % on the two datasets respectively at least. Conclusions Our proposed model proves to be a robust and effective method for multi-organ segmentation in micro-CT, especially in situations where comprehensive annotations are lacking within a dataset.
Open Access
Automated lesion detection in endoscopic imagery for small animal models – a pilot study

1. Januar 2000

Thomas Eixelberger, Ralf Hackner, Qi Fang, Bisan Abdalfatah Zohud, Michael Stürzl, Elisabeth Naschberger, Thomas Wittenberg

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Objectives Small animal models, particularly mice, are crucial for studying gastrointestinal diseases like colorectal cancer. Tumor assessment via colonoscopy generates large video datasets, necessitating automated analysis due to limited resources and time-consuming manual review. Methods We employed a YOLOv7-based deep learning model pre-trained on human polyp images to detect tumors in mouse colonoscopy videos. Detection was enhanced using a stool detector and a color-based filter. Lesions were classified from ‘0’ (no tumor) to ‘5’ (tumor >50 % of colon diameter) using a custom ratio-based method. The system was evaluated on 150 videos from 28 mice over 6 weeks, with 125 videos containing tumors. Results Initial detection yielded a Precision of 0.576, Recall of 0.916, and Accuracy of 0.593. Adding the stool detector improved results to 0.932, 0.946, and 0.897, respectively. Compared to expert annotations, classification reached 0.759 Precision, 0.774 Recall, and 0.774 Accuracy over all five classes. Conclusions The proposed approach reliably detects and classifies colon tumors in mice, offering real-time support for preclinical endoscopic studies. Further evaluation will provide more insights into its performance.
Open Access
Smartphone-based intelligent system with a wearable throat microphone for real-time screening of swallowing ability

1. Januar 2000

Ye Li, Yacen Wu, Qiang Tang, Haijun Lin, Juanjuan Fu, Yuxiang Yang, Fu Zhang

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Objectives Accurate and timely swallowing ability screening is essential for effective prevention and treatment of dysphagia. Current clinical imaging methods are often radioactive or invasive, limiting their applicability for routine monitoring. This study aims to develop a smartphone-based intelligent system for real-time screening of swallowing ability using a wearable throat microphone. Methods First, a customized Android application was developed to collect, visualize, and analyze sounds related to swallowing from a wearable throat microphone. Second, a transfer learning model, YAMNet-S, was trained on 4,715 one-second audio segments of coughing, swallowing, and other noises, obtained from 215 healthy participants (Experiment 1). The trained model was then deployed on a smartphone to classify swallowing-related events in real time. Finally, the water swallow test (WST) was conducted by counting swallowing and coughing events within 30 s from 15 simulated patients with self-induced voluntary coughs for clinical validation (Experiment 2). Results The mean accuracy of the trained model in swallowing and coughing events classification is 94.48 and 94.45 %, respectively, and the difference of WST scores in system calculations and expert evaluation was 0.267 (out of 5). Conclusions This smartphone-based intelligent system has the potential to be a comfort, portability and user-friendliness tool for preliminary screening of dysphagia before VFSS/FEES, especially on some situations with limited medical resources, such as community or home-based care.

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Abstracts of the 2025 Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE) Societies for Biomedical Engineering

Abstracts of the 58th Annual Meeting of the German Society of Biomedical Engineering, 18 – 20 September 2024, Stuttgart

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Abstracts of the 2024 Annual Meeting of the Austrian Society for Biomedical Engineering (ÖGBMT)

Abstracts of the 2023 Annual Meeting of the Austrian Society for Biomedical Engineering (ÖGBMT)

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Abstracts of the 57th Annual Meeting of the German Society of Biomedical Engineering 26 – 28 September 2023, Duisburg, including: The Artificial Vision Symposium – The International Symposium on Visual Prosthetics

Special Issue: Medical Flow and Dosing Measurement Metrology in Drug Delivery; Guest Editors: Elsa Batista, Hugo Bissig and Stephan Klein

Abstracts of the 2022 Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE) Societies for Biomedical Engineering, including the 14th Vienna International Workshop on Functional Electrical Stimulation

Abstracts of the 55th Annual Meeting of the German Society of Biomedical Engineering (5 – 7 October 2021, Hannover)

Abstracts of the 2020 Annual Meeting of the German Society of Biomedical Engineering (29 September – 1 October 2020, Leipzig)

Abstracts of the 2019 Annual Meeting of the German Society of Biomedical Engineering (25–26 September 2019, Frankfurt am Main)

Abstracts of the 2018 Annual Meeting of the German Society for Biomaterials

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Special Issue: Optical Imaging Methods in Medicine / Guest Editors: Werner Nahm, Christoph Hornberger, Ute Morgenstern and Stephan B. Sobottka

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Highlight: Textile Engineering & Regenerative Medicine

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Highlight: Biosignal Analysis

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Special Issue: OR.NET – Secure Dynamic Networks in Operating Room and Clinic

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Highlight: Imaging & Image Analysis

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Highlight: Tissue Engineering & Scaffolds

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Highlight: Passive Implants & Biomaterials

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Special Issue: Smart Life Support, Issue Editor: Steffen Leonhardt

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Highlight issue: Biosignal Analysis

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Highlight Issue: Implants, Surgery and Interventions

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Highlight: Imaging and Image Analysis

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Highlight issue: Biomaterials and Artificial Tissue

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Special issue: Risk Management in Medical Human-Machine Systems / Guest Editors: Wolfgang Lauer and Klaus Radermacher

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Special Issue: Biosignal Processing / Guest Editors: Jens Haueisen and Tilmann Sander-Thömmes

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Highlight issue: Biomechanic Models and Image Guided Interventions

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Special Issue: Magnetic nanoparticles for biomedical applications / Guest Editor: Lutz Trahms

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Special Issue: Low Liquid Flows in Medical Technology / Guest Editors: Stephan Klein and Peter Lucas

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Special Issue: Technically Assisted Rehabilitation – TAR 2013 / Guest Editor: Thomas Stieglitz

Special Issue: Neuroprobes / Guest Editor: Thomas Stieglitz, Herc Neves and Patrick Ruther

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Special Issue: Patient Customized Engineering / Guest Editor: Thomas Schmitz-Rode, Robert Farkas and Fridtjof Nüsslin

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Special Issue: Magnetic Particle Imaging / Guest Editor: Thorsten M. Buzug

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Special Issue: Bioresorbable Implants / Guest Editors: Axel Haverich and Klaus-Peter Schmitz

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Proceedings BMT (Biomedizinische Technik) 2013 - Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik, Graz - Table of Contents

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Track A. FES Workshop - Functional Electro Stimulation & Neuroprosthetics

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Track B. Advanced Therapeutic Concepts

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Track C. Biomaterials & Biocompatibility

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Track D. Biomechanics

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Track E. Biomedical Instrumentation

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Track F. Biosensors & Bioanalytics

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Track G. Biosignal Processing

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Track H. Cellular & Tissue Engineering

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Track I. Clinical and Ambulatory Monitoring

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Track J. Usability, Risk Management & Regulatory Affairs

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Track K. Home Health Care & AAL

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Track L. Imaging, Image Based Interventions & Image Processing

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Track M. Medical Informatics & Bioinformatics

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Track N. Modeling & Simulation

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Track O. Prosthetics, Implants & Artificial Organs

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Track P. Rehabilitation Technology

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Track Q. Surgical Technique, Robotics & Endoscopy

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Track R. Education & Training

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Track S. Miscellaneous & Special Sessions

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Special issue: Innovations in the processing of biolelectric and biomagnetic signals

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Technically assisted rehabilitation – TAR 2011

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Table of contents / Inhaltsverzeichnis

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track A Training and Further Education

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track B. Imaging and Image Processing

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track C. Image Based Intervention

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track D. Biomaterials and Biocompatibility

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track E. Biosensors and Bioanalytics

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track F. Biosignal Processing

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track G. Cellular-, Tissue- und Bioengineering

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track H. Surgical Technique and Endoscopy

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track I. Clinical Engineering

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track J. Ergonomics and Risk Management

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track K. Home health care and AAL

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track L. Clinical and Ambulatory Monitoring

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track M. Magnetic Methods in Medicine

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track N. Medical Information Systems, Telemedicine, eHealth, mHealth

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track O. Modelling and Simulation

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track P. Ophthalmology Techniques, Optical and Photonic Processes

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track Q. Personalized Medical Technology

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track R. Prevention and Rehabilitation Engineering

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track S. Prosthetics and Implants

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Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena - Track Z. Special Sessions

Proceedings BMT 2011, 45. DGBMT Jahrestagung, Freiburg

Special Issue: Technically Assisted Rehabilitation

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Special Issue: Oral Implantology

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Proceedings BMT 2010, 44. DGBMT Jahrestagung, 3-Länder-Tagung D-A-CH, Rostock

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Special Issue: NeuroMath

Special Issue: Smart Life Support

Special Issue: Biomechanics and Biomaterials in Oral Rehabilitation and Dental Treatment

to be implemented...

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Journal Impact Factor	1.8	2024, Journal Citation Reports (Clarivate, 2025)
5-year Journal Impact Factor	1.5	2024, Journal Citation Reports (Clarivate, 2025)
Journal Citation Indicator	0.29	2024, Journal Citation Reports (Clarivate, 2025)
CiteScore	3.4	2024, Scopus (Elsevier B.V., 2025)
SCImago Journal Rank	0.319	2024, SJR (Scimago Lab, 2025; Data Source: Scopus)
Source Normalized Impact per Paper	0.669	2024, CWTS Journal Indicators (CWTS B.V., 2025; Data Source: Scopus)

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Please note that authors from institutions with which we have a transformative agreement can publish open access without paying an article processing charge (APC). More information on the eligible institutions and articles can be found under the "Funding and Support" tab here.

Editor-in-Chief
Jens Haueisen (Ilmenau, Germany)

Contact person
Jens Haueisen, jens.haueisen@tu-ilmenau.de

Associate Editors
Peter Augat (Institut für Biomechanik, Germany)
Daniel Baumgarten (Institut für Elektrotechnik und Biomedizinische Technik, Austria)
Thomas Deserno (Peter L. Reichertz Instituts für Medizinische Informatik, Technische Universität Braunschweig, Germany)
Frédéric Heim (Laboratoire de Physique et Mécanique Textiles
Universite de Haute-Alsace, France)
Steffen Leonhardt (Helmholtz Institute of Biomedical Engineering, RWTH Aachen University, Germany)
Klaus Radermacher (Helmholtz-Institute for Biomedical Engineering,
RWTH Aachen University)
Erik Schkommodau (Institute for Medical Technologies, University of Applied Sciences Northwestern Switzerland, Switzerland)
Thomas Stieglitz (Department of Microsystems Engineering (IMTEK) University of Freiburg, Germany)
Gudrun Wagenknecht (Forschungszentrum Jülich GmbH, Germany)

Editorial Board
†Ulrich Boenick (Berlin, Germany)
Olaf Dössel (Karlsruhe, Germany)
Pamela Habibovic (Maastricht, Netherlands)
Branislav Jaramaz (Pittsburgh, PA, United States)
Marc Kraft (Berlin, Germany)
Thomas Lenarz (Hannover, Germany)
Harry van Lenthe (Leuven, Belgium)
Benny Lo (London, UK)
Luca Mainardi (Milano, Italy)
Silvestro Micera (Lausanne, Switzerland & Pisa, Italy)
Thomas Penzel (Berlin, Germany)
Andrea Robitzki (Karlsruhe, Germany)
Klaus-Peter Schmitz (Rostock, Germany)
Tobias Schaeffter (Berlin, Germany)
Jess G. Snedeker (Zurich, Switzerland)
Leif Sörnmo (Lund, Sweden)
Nobuhiko Sugano (Osaka, Japan)
Jürgen Werner (Bochum, Germany)
Werner Wolf (Neubiberg, Germany)

BMT Editorial Office
Walter de Gruyter GmbH
Genthiner Str. 13
10785 Berlin
Germany
Tel. +49-30-26005-176
Fax: +49-30-26005-352
E-mail: bmt.editorial@degruyter.com

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Zeitschriften Informationen

Weitere Informationen

eISSN:

1862-278X

ISSN:

0013-5585

Sprache:

Englisch

Verlag:

De Gruyter

Weitere Informationen

Erstveröffentlichung:

1. Januar 1956

Erscheinungsweise:

6 Hefte pro Jahr

eISSN: 1862-278X

ISSN: 0013-5585

Zielgruppe(n) für diese Zeitschrift

researchers and decision-makers in the field of bioengineering, managers in development laboratories and in the entire sector of medical research, chief consultants in clinics, sanatoriums and hospitals, self-employed businesspeople and traders in the area of biomedical engineering, professionals in health insurance, libraries

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