journal: Biomedical Engineering / Biomedizinische Technik

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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:
Edited by: , , , , , , , and

Language: English

First published: January 1, 1956

Publication Frequency: 6 issues per year

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About this journal

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.

The current volume of Biomedical Engineering / Biomedizinische Technik (BMT) is open access via Subscribe to Open (S2O). All accepted articles will be published under a Creative Commons license at no cost to authors. Learn more about De Gruyter Brill’s Subscribe to Open program.

Topics

diagnostic imaging
image processing
biosignal processing
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
rehabil itation 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

Your Benefits

Your benefits:Imperative topicApplicative approach to engineering facilities and methodsNew areas of application of cutting-edge technologies in modern medicineState-of-the-art solutions for requirements in current medical practiceAhead-of-print online publicationHistoryThe 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.

History

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)

Open Access
Robust ventricular segmentation in cardiac MRI via fused attention and capsule networks

March 17, 2026

Yuguang Ye, Taisheng Zeng, Kavimbi Chipusu, Bijiao Ding, Yifeng Huang, Jingwei Guo, Jianlong Huang

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Objectives An effective automatic system for ventricular segmentation from MRI is vital for diagnosing cardiovascular diseases, yet challenges persist due to anatomical variations and artifacts. Methods We preprocess cardiac MRI with min-max normalization, then propose a hybrid segmentation network (ResFAU-net) integrating residual blocks, attention gates, and a Fused Accumulation Bridge module to delineate ventricle boundaries. The segmented regions are classified by the HAMC3 model, which combines cascaded capsule networks, CNNs, and hierarchical attention, with parameters optimized via the Coati Optimization Algorithm (COA). Results Rigorous assessment on our CMRI dataset using metrics (Dice, IoU, accuracy, precision, etc.) demonstrates the model’s high performance in segmenting and classifying the left and right ventricles achieving an IoU of 96.29 % and accuracy of 99.03 %. Conclusions The proposed ResFAU-net and HAMC3 framework offers a robust, end-to-end solution for precise ventricular cardiac analysis, demonstrating strong potential to automate and enhance the efficiency of cardiovascular diagnosis in clinical MRI workflows.
Open Access
Tetrakaidecahedron-inspired porous custom insoles for enhanced diabetic foot decompression

March 12, 2026

Yan Zheng, Changsheng Yang, Jing Wang, Yaping Yang, Jiantao Yang

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Objectives Diabetic foot is a prevalent and severe complication among diabetic patients, usually caused by sensory neuropathy and chronic mechanical stress overload. The structural characteristics of the tetrakaidecahedron porous structure are applied to insoles to optimize plantar pressure distribution, thereby minimizing abnormal plantar pressure in diabetic feet. Methods Integrating plantar pressure zoning, finite element analysis, Grasshopper parametric modeling, and 3D printing technology, a customized pressure-relief insole for diabetic feet has been designed and validated using static standing plantar-pressure measurements. The insole employs a porous structure with adjustable porosity and specified regional elastic modulus to achieve customized plantar pressure relief. Results The designed insole (NPSI) increases the plantar contact area by approximately 30 % and reduces peak contact pressure by over 47 % in the high-pressure regions of M and H zones. Conclusions The method proposed in this study effectively customizes pressure-relief insoles for diabetic feet, reducing the incidence and progression of diabetic foot ulcers. This approach is also applicable to the design of other assistive medical devices that require specific support and pressure relief.
Open Access
CT-based hybrid deep learning–radiomics framework for predicting postoperative rebleeding in hypertensive intracerebral hemorrhage

March 12, 2026

Weiwei Lu, Feng Wang, Li Li, Dan Chen, Peng Ji

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Objectives Hypertensive intracerebral hemorrhage (HICH) is a frequently encountered and highly lethal cerebrovascular disorder, and postoperative rebleeding remains one of its most feared complications. Methods We developed a nomogram featuring a hybrid architecture that integrates radiomics-derived signatures and deep learning representations from CT imaging together with routine clinical parameters, with the goal of enhancing the individualized prediction of rebleeding risk following surgical intervention in HICH patients. A total of 151 individuals diagnosed with HICH were prospectively enrolled and randomly assigned to a training set (n=105) and a validation set (n=46) following a 7:3 ratio. Results The resulting model outperformed single-domain approaches relying solely on traditional clinical indicators or deep learning features. In the training cohort, the nomogram yielded an AUC of 0.993 (95 % CI: 0.982–1.000), while in the internal testing cohort, the AUC reached 0.860 (95 % CI: 0.745–0.974). The model highlighted several key predictors associated with postoperative rebleeding. Conclusions Overall, the integrated nomogram, embedding clinical data, radiomic phenotypes, and deep learning markers, exhibited robust predictive capability in assessing rebleeding risk among patients with HICH. Ongoing research is needed to further refine and validate the model in broader clinical settings.
Open Access
LLM-guided multimodal attention network for robust multiclass Parkinson’s disease diagnosis

March 3, 2026

Taisheng Zeng, Yuguang Ye, Bijiao Ding, Yifeng Huang, Muhammad Ibrahim Umar, Kavimbi Chipusu, Jianlong Huang

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Objectives Accurate identification of Parkinson’s disease (PD), particularly during its prodromal stage, remains a major clinical challenge due to heterogeneous symptom presentation and overlapping neurological patterns. This study proposes an LLM-Guided Multimodal Attention Network (LLM-MAN) to improve PD staging by jointly modeling structural MRI and clinical/cognitive metadata. Methods We develop a unified multimodal framework that encodes structural MRI using a ResNet-18 backbone enhanced with Convolutional Block Attention Modules (CBAM) for discriminative neuroimaging feature extraction, and represents clinical/cognitive metadata using an LLM-based text encoder (pre-trained BERT) for contextualized semantic modeling. A Meta-Guided Cross-Attention (MGCA) module is introduced to align clinical semantic knowledge with imaging features, enabling robust cross-modal fusion for multiclass classification (Normal Control, prodromal PD, and diagnosed PD). The model is evaluated on the Parkinson’s Progression Markers Initiative (PPMI) dataset and further validated on an independent external cohort. Results On the PPMI dataset, LLM-MAN achieved an accuracy of 95.68 % for distinguishing Normal Control, prodromal PD, and diagnosed PD. External validation on an independent cohort yielded 94.10 % accuracy, indicating strong generalization performance across datasets. Conclusions LLM-guided multimodal fusion via MGCA provides reliable and interpretable approach for PD staging, substantially improving prodromal PD identification by integrating semantic clinical knowledge with neuroimaging representations.
Open Access
Influence of Sr²⁺ doping and phase composition on the physicochemical properties and cytocompatibility of biphasic calcium phosphate for bone graft applications

March 2, 2026

Ravathi Marathandi, Adlisa Abdul Samad, Murfiqah Taufiqiah Mohd Amin, Zatul Faqihah Mohd Salaha, Norhana Jusoh, Ardiyansyah Syahrom, Dian Agustin Wahjuningrum

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Objectives To investigate how phase composition influences the physicochemical properties, Sr 2+ ion release behavior, and cytocompatibility of Strontium (Sr)-doped calcium phosphate (CaP) materials, focusing on Sr-HA, Sr- β -TCP, and three Sr-BCP compositions. Methods This work focuses on Sr-HA, Sr- β -TCP, and Sr-BCP powders with HA/ β -TCP ratios (60:40 (BCP1), 30:70 (BCP2), and 20:80 (BCP3)) that were synthesized by wet chemical precipitation followed by calcination. The effect of CaP phase compositions on physicochemical characteristics, Sr 2+ release, and cytocompatibility was investigated by using ICP-OES, FTIR, XRD, SEM-EDX, and MTT assays. Results EDX confirmed the Ca/P ratios, and both FTIR and XRD indicated successful phase formation without secondary phases. The Sr-BCP samples demonstrated enhanced cell viability after 48 h in MTT assays, highlighting biological responses associated with the biphasic structure. ICP-OES analysis indicated composition-dependent Sr 2+ release, with Sr-BCP1 showing the highest initial and sustained ion release. Conclusions Sr-BCP1 offers a promising balance between structural stability, favorable cytocompatibility, and controlled Sr 2+ ion delivery, supporting its potential for bone applications.
Open Access
Arm support as hidden assistance during Sit-To-Stand movement: a systematic review

February 26, 2026

Musfirah Abd Aziz, Nur Azah Hamzaid, Haidzir Manaf, Noreha Abdul Malik

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Sit-To-Stand (SitTS) training is often performed by patients who may require arm assistance to perform it successfully. This study examines the role of arms in performing the SitTS maneuver to better understand their contribution and clinical significance. This review synthesizes the reported outcome measures of arm-assisted SitTS exercise programs in people with physical impairments. Web of Science (WoS) and Scopus™ databases were searched for relevant studies up to May 2025. Inclusion and exclusion criteria were used to screen the titles and abstracts of articles identified using key search terms related to SitTS activity and arm support. Only articles that met the key terms were extracted and analyzed in this study. A total of 47 studies reported arm support measures during SitTS, either in clinical or biomechanical contexts. These studies highlighted various methods and tools used to assess the body’s state during the rising movement. Joint angle and SitTS duration are clinically applicable and more easily measured compared to seat, foot, and arm forces which require specialized instrumentation. Balancing clinical measures with detailed biomechanical assessments is important in enabling practitioners and researchers to evaluate and enhance SitTS interventions that involve arm assistance, ultimately improving rehabilitation outcomes.
Open Access
Standing up to neurodegeneration: evaluating autonomic stress and safety in sit-to-stand using heart rate variability analysis

February 24, 2026

Sorfina Ilham Rozman, Nur Azah Hamzaid, Einly Lim, Norhamizan Hamzah, Jade P. Guan, Sakinah Sabirin, Nazirah Hasnan, Nortina Shahrizaila

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Objectives Sit-to-stand (STS) exercises are commonly incorporated in functional rehabilitation due to their simplicity, relevance to daily mobility and more recently, cardiac fitness. While generally considered safe for most clinical populations, its effect on autonomic stability remains underexplored – particularly in those with autonomic vulnerability such as individuals with amyotrophic lateral sclerosis (ALS). This study investigates the suitability of STS exercises for individuals with ALS, with specific focus on establishing baseline heart rate variability (HRV) data during rest and transient STS movement. Methods Heart rate (HR) and HRV (RMSSD and HF) were assessed across three cohorts; healthy young adults (n=29), individuals living with ALS (n=8), and their age-matched controls (n=9), under resting condition and two STS protocols: Timed up and go (TUG) and five times sit-to-stand test (FTSST). Results All groups exhibited significant increase in mean HR during STS compared to rest (p<0.05), whereas no statistically significant differences were observed in RMSSD and HF. These results indicate that STS exercises elicit measurable cardiovascular exertion without triggering acute autonomic dysfunction in ALS individuals, supporting its role in safe rehabilitation for early-mid stages ALS. Conclusions HRV serves as a potential tool for non-invasive monitoring and assessment of autonomic function during physical therapy.
Open Access
Optimizing arteriovenous fistula (AVF) configurations: a computational study of radial artery deviation and reimplantation (RADAR) and conventional techniques in hemodynamics

February 18, 2026

Ning Zhang, Hongtao Zhang, Xiaofeng Wang, Yang Lu, Jiawei Li, Shujie Yan, Jianhua Hou, Guo Pan, Qian Li

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Objectives Anastomotic stenosis in arteriovenous fistulas (AVFs) is a significant issue for hemodialysis patients. This study uses computational fluid dynamics (CFD) simulations to evaluate the effects of different AVF configurations, comparing the RADAR technique with conventional AVF configurations in terms of hemodynamics, flow disturbances, and wall shear stress (WSS). Methods Echo-color Doppler (ECD) imaging and CFD simulations assessed disturbed hemodynamics in different AVF configurations. Large eddy simulations (LES) captured turbulence transition at the anastomosis. Hemodynamic parameters, including velocity distribution, vortex formation, WSS, wall displacement, and stress distribution, were analyzed. A one-way fluid-structure interaction (FSI) approach was used to compute fluid-induced wall forces and assess stress distribution and deformation. Results The RADAR configuration showed superior hemodynamic performance with higher blood flow velocity, reduced turbulence, and a more favorable WSS environment, potentially reducing stenosis risk and improving long-term patency. Higher venous inner wall stress in RADAR configurations may aid vascular remodeling. Conclusions Optimizing AVF configurations and anastomosis angles can enhance AVF functionality, reduce complications, and improve hemodialysis outcomes for patients with end-stage renal disease. The RADAR technique may improve AVF maturation and reduce complications.
Open Access
Optimizing the load capacity of a compliant-mechanism-based microplate gripper for biomedical lab automation

February 17, 2026

Leon Budde, Leonhard Häberle, Thomas Seel, Daniel O. M. Weber

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Objectives Laboratory automation enhances repeatability and throughput in scientific and industrial applications. An important aspect of automation is transportation of standardized components, such as microplates (MPs). Previously, we developed the compliant-mechanism-based gripper (“CrocoGrip”), enabling secure and contamination-free MP transport. However, we have yet to optimize the gripping jaws to increase the gripper’s maximum load capacity (LC). In this paper, we optimize the design and surface of CrocoGrip’s jaws to optimize its LC. CrocoGrip works like a torsion spring, so its opening width, which defines the CrocoGrip’s deformation, its jaw arm length, and the jaw’s surface material affect its LC. Methods We tested the LC of six different jaw materials at different opening widths. The best-performing jaw surface was further evaluated at a second jaw arm length. Results Jaws equipped with silicone inserts performed the best (LC=2.93 N). Aluminum with different surface smoothness performed the worst (0.68 N≤LC≤1.56 N). Decreasing the jaw arm length from 81 mm to 66 mm increased the LC of the silicone-insert jaws to 3.71 N. Conclusions The improved LC allows the safe handling of MP (weight ≤127 g), enabling the use of the CrocoGrip for a broader range of tasks.
Open Access
Multi-encoder U-Net benchmarking for LiTS17 Liver–Tumor segmentation: accuracy–efficiency trade-offs across training durations

February 17, 2026

Yuguang Ye, Kavimbi Chipusu, Taisheng Zeng, Yusi Chen, Bijiao Ding, Yifeng Huang, Jingwei Guo, Jianlong Huang

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Objectives Accurate liver and tumor segmentation from CT is fundamental for diagnosis, treatment planning, and longitudinal monitoring of liver cancer. Although U-Net variants with popular encoder backbones are widely used, the coupled effects of encoder selection, training duration, and computational cost, as well as comparisons against volumetric architectures such as V-Net, remain insufficiently standardized. Methods We propose a unified benchmarking framework that evaluates a family of multi-encoder 2D U-Net models together with an optional 3D V-Net baseline under the same preprocessing, input construction, and 3-fold cross-validation protocol on LiTS17. Multiple backbones (VGG16/VGG19/ResNet34/ResNet50/ResNet101/MobileNetV2) are assessed under 15/50/100-epoch schedules, and performance is reported using overlap and detection metrics (Dice, IoU, precision, recall) alongside efficiency indicators (training time and model complexity when available) to characterize the accuracy–efficiency trade-off. Results Results show liver segmentation rapidly reaches near-ceiling performance across models, while tumor segmentation benefits markedly from longer training and stronger encoders, especially for small or low-contrast lesions. Conclusions Overall, the study provides a reproducible protocol and practical guidance for selecting segmentation models that balance accuracy, robustness, and deployment cost.
Open Access
Perspectives on biomechanical data: a cross-disciplinary survey of current practices, challenges, and future needs

February 2, 2026

Jonas Borsch, David Schnur, Sebastian Roth, Ulrich Hartmann, Daniel Friemert

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Objectives The objective of this study was to assess the current usage, challenges, and specific needs regarding biomechanical data, with a focus on gait analysis, across a diverse field such as sports performance, clinical rehabilitation, and occupational health. Methods We conducted a survey among more than 300 institutions in the DACH region (Germany, Austria, Switzerland). Of 49 individuals who began the survey, 24 submitted complete responses. Results Findings indicate that participants recognize the value of biomechanical data, yet adoption of publicly available datasets is hindered by inconsistent formats, limited metadata, and strict privacy regulations. Respondents emphasized standardized documentation and clearer guidelines to facilitate sharing and collaboration. Many institutions are overwhelmed by legal compliance, with data proception laws posing significant hurdles to effective usage. Conclusions The results highlight the need to (1) establish standardized file formats, (2) improve metadata quality, (3) develop transparent, consistent data-sharing protocols, and (4) clarify legal frameworks for compliance.

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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Issue s1

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

Issue SI-1-Track-F

Track F. Biosensors & Bioanalytics

Issue SI-1-Track-G

Track G. Biosignal Processing

Issue SI-1-Track-H

Track H. Cellular & Tissue Engineering

Issue SI-1-Track-I

Track I. Clinical and Ambulatory Monitoring

Issue SI-1-Track-J

Track J. Usability, Risk Management & Regulatory Affairs

Issue SI-1-Track-K

Track K. Home Health Care & AAL

Issue SI-1-Track-L

Track L. Imaging, Image Based Interventions & Image Processing

Issue SI-1-Track-M

Track M. Medical Informatics & Bioinformatics

Issue SI-1-Track-N

Track N. Modeling & Simulation

Issue SI-1-Track-O

Track O. Prosthetics, Implants & Artificial Organs

Issue SI-1-Track-P

Track P. Rehabilitation Technology

Issue SI-1-Track-Q

Track Q. Surgical Technique, Robotics & Endoscopy

Issue SI-1-Track-R

Track R. Education & Training

Issue SI-1-Track-S

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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Issue SI-1-Track-TOC

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

Issue SI-1-Track-A

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

Issue SI-1-Track-B

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

Issue SI-1-Track-C

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

Issue SI-1-Track-D

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

Issue SI-1-Track-E

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

Issue SI-1-Track-F

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

Issue SI-1-Track-G

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

Issue SI-1-Track-H

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

Issue SI-1-Track-I

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

Issue SI-1-Track-J

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

Issue SI-1-Track-K

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

Issue SI-1-Track-L

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

Issue SI-1-Track-M

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

Issue SI-1-Track-N

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

Issue SI-1-Track-O

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

Issue SI-1-Track-P

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

Issue SI-1-Track-Q

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

Issue SI-1-Track-R

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

Issue SI-1-Track-S

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

Issue SI-1-Track-Z

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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Issue s1

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

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Biomedical Engineering / Biomedizinische Technik publishes special and thematic issues focussed on important and emerging topics in the field of study. The journal has established a rigorous process to ensure that any special issue manuscripts follow the same high-quality standards and peer review processes as regular manuscripts. For further information on the journal’s peer review policy please see the "Instructions for Authors".

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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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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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Medicine Biomedical Engineering

Online Submission of Manuscripts

Journal information

Additional information

eISSN:

1862-278X

ISSN:

0013-5585

Language:

English

Publisher:

De Gruyter

Additional information

First published:

January 1, 1956

Publication Frequency:

6 issues per year

eISSN: 1862-278X

ISSN: 0013-5585

Audience(s) for this journal

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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Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

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BY 4.0

Biomedical Engineering / Biomedizinische Technik

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