Published since January 1, 1956

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

ISSN: 1862-278X

Editor-in-chief: Olaf Dössel

Edited by: Peter Augat, Thomas M. Deserno, Jens Haueisen, Stefan Jockenhoevel, Steffen Leonhardt, Gernot Plank, Klaus M. Radermacher, Erik Schkommodau, Thomas Stieglitz

Impact Factor: 1.426

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.

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

Your Benefits

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

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)

Previous Titles

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

Back Issues

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Tel.: (+49) 80 64 – 221
Fax: (+49) 80 64 – 557
Email: schmidt@periodicals.com
http://www.periodicals.com

(* For periodicals not included in this agreement, please refer to the distribution address provided on the homepage of the periodical.)

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Supplementary Materials

Topics

External Links

Volume 67 Issue 5

October 2022

Publicly Available September 13, 2022

Frontmatter

Page range: i-iii

Download PDF

Research Articles

August 15, 2022

Biomagnetic signals recorded during transcranial magnetic stimulation (TMS)-evoked peripheral muscular activity

Geoffrey Z. Iwata, Yinan Hu, Arne Wickenbrock, Tilmann Sander, Muthuraman Muthuraman, Venkata Chaitanya Chirumamilla, Sergiu Groppa, Qishan Liu, Dmitry Budker

Page range: 333-344

Abstract

Transcranial magnetic stimulation (TMS) has widespread clinical applications from diagnosis to treatment. We combined TMS with non-contact magnetic detection of TMS-evoked muscle activity in peripheral limbs to explore a new diagnostic modality that enhances the utility of TMS as a clinical tool by leveraging technological advances in magnetometry. We recorded measurements in a regular hospital room using an array of optically pumped magnetometers (OPMs) inside a portable shield that encloses only the forearm and hand of the subject. We present magnetomyograms (MMG)s of TMS-evoked movement in a human hand, together with a simultaneous surface electromyograph (EMG) data. The biomagnetic signals recorded in the MMG provides detailed spatial and temporal information that is complementary to that of the electric signal channels. Moreover, we identify features in the magnetic recording beyond that of the EMG. This system demonstrates the value of biomagnetic signals in TMS-based clinical approaches and widens its availability and practical potential.

June 28, 2022

Analysis of pilots’ EEG map in take-off and landing tasks

Li Ji, Chen Zhang, Haiwei Li, Ningning Zhang, Peng Zheng, Changhao Guo, Yong Zhang, Xiaoyu Tang

Page range: 345-356

Abstract

The take-off and landing phases are considered the critical stages of aircraft flight. To ensure flight efficiency and safety in the critical stages, this research proposes a method for analyzing and monitoring pilot flight status by β-wave. The focus of the study is β potential changes on the EEG map. First, the proportion of β-wave in the electroencephalogram (EEG) of pilots during take-off and landing increases significantly. Second, the EEG map accurately and intuitively reflects the spatial distribution of potential changes in brain regions. Finally, correlation and machine learning are used for further research of β-wave. The conclusions show that the significant changes in the β-wave caused by take-off and landing can be seen in the EEG map to identify and adjust the pilot’s state. Therefore, this research provides more accurate and effective reference information (like the EEG map, correlation and machine learning) for efficient and safe flight training in the critical stages.

August 4, 2022

A method to detect sleep apnea using residual attention mechanism network from single-lead ECG signal

Tao Wang, Changhua Lu, Yining Sun, Hengyang Fang, Weiwei Jiang, Chun Liu

Page range: 357-365

Abstract

Sleep apnea is a sleep disorder caused by weakened or suspended breathing during sleep, which seriously affects the work and health of patients. The traditional polysomnography (PSG) detection process is complicated and expensive, which has attracted researchers to explore a rapid detection method based on single-lead ECG signals. However, existing ECG-based sleep apnea detection methods have certain limitations and complexities, mainly relying on human-crafted features. To solve the problem, the paper develops a sleep apnea detection method based on a residual attention mechanism network. The method uses the RR interval signal and the R-peak signal derived from the ECG signal as input, realizes feature extraction through the residual network (ResNet), and adds the SENet attention mechanism to deepen the mining of channel features. Experimental results show that the per-segment accuracy of the proposed method can reach 86.2%. Compared with existing works, its accuracy has increased by 1.1–8.1%. These results show that the proposed residual attention network can effectively use ECG signals to quickly detect sleep apnea. Meanwhile, compared with existing works, the proposed method overcomes the limitations and complexity of human-crafted features in sleep apnea detection research.

August 8, 2022

A comparative study of the spectrogram, scalogram, melspectrogram and gammatonegram time-frequency representations for the classification of lung sounds using the ICBHI database based on CNNs

Zakaria Neili, Kenneth Sundaraj

Page range: 367-390

Abstract

In lung sound classification using deep learning, many studies have considered the use of short-time Fourier transform (STFT) as the most commonly used 2D representation of the input data. Consequently, STFT has been widely used as an analytical tool, but other versions of the representation have also been developed. This study aims to evaluate and compare the performance of the spectrogram, scalogram, melspectrogram and gammatonegram representations, and provide comparative information to users regarding the suitability of these time-frequency (TF) techniques in lung sound classification. Lung sound signals used in this study were obtained from the ICBHI 2017 respiratory sound database. These lung sound recordings were converted into images of spectrogram, scalogram, melspectrogram and gammatonegram TF representations respectively. The four types of images were fed separately into the VGG16, ResNet-50 and AlexNet deep-learning architectures. Network performances were analyzed and compared based on accuracy, precision, recall and F1-score. The results of the analysis on the performance of the four representations using these three commonly used CNN deep-learning networks indicate that the generated gammatonegram and scalogram TF images coupled with ResNet-50 achieved maximum classification accuracies.

July 15, 2022

Stratification of risk of atherosclerotic plaque using Hu’s moment invariants of segmented ultrasonic images

Smitha Balakrishnan, Paul K. Joseph

Page range: 391-402

Abstract

Myocardial infarction is one of the major life-threatening diseases. The cause is atherosclerosis i.e. the occlusion of the coronary artery by deposition of plaque on its walls. The severity of plaque deposition in the artery depends on the characteristics of the plaque. Hence, the classification of the type of plaque is crucial for assessing the risk of atherosclerosis and predicting the chances of myocardial infarction. This paper proposes prediction of atherosclerotic risk by non-invasive ultrasound image segmentation and textural feature extraction. The intima-media complex is segmented using a snakes-based segmentation algorithm on the arterial wall in the ultrasound images. Then, the plaque is extracted from the segmented intima-media complex. The features of the plaque are obtained by computing Hu’s moment invariants. Visual pattern recognition independent of position, size, orientation and parallel projection could be done using these moment invariants. For the classification of the features of the plaque, an SVM classifier is used. The performance shows improvement in accuracy using lesser number of features than previous works. The reduction in feature size is achieved by incorporating segmentation in the pre-processing stage. Tenfold cross-validation protocol is used for training and testing the classifier. An accuracy of 97.9% is obtained with only two features. This proposed technique could work as an adjunct tool in quick decision-making for cardiologists and radiologists. The segmentation step introduced in the preprocessing stage improved the feature extraction technique. An improvement in performance is achieved with much less number of features.

August 24, 2022

A new method for successful indirect bonding in relation to bond strength

Thomas Wendl, Christine Bandl, Wolfgang Kern, Brigitte Wendl, Peter Proff

Page range: 403-410

Abstract

The aim of the work was to develop a new transfer method for indirect bonding of brackets to improve the bond strength by applying a uniform contact pressure over the entire dental arch. This has a great potential to reduce the bracket loss rate during clinical treatment. A suitable shape memory polymer (SMP) was selected and prepared in the chemistry laboratory. This SMP applies a force to the brackets during bonding and thus increases the bond strength by applying uniform contact pressure. Various transfer trays were equipped with SMP platelets and the transfer of brackets from the plaster model to the real human tooth model was performed in vitro . The transfer accuracy and bond strength of the bonded brackets were investigated by 3D-overlay and shear tests, respectively. The transfer accuracy was technique sensitive and showed higher accuracy for the trays with SMPs and self-curing silicones than for the vacuum formed trays with SMPs. The bond strength of the indirectly bonded brackets with SMPs was on average 1–2 MPa higher than the bond strength of the brackets indirectly bonded with a conventional two-layer vacuum formed tray without SMPs. Thus, transfer trays with SMPs can provide a significant improvement in bond strength during indirect bonding after appropriate adjustment.

July 4, 2022

Automatic landmark identification for surgical 3d-navigation – A proposed method for marker-free dental surgical navigation systems

Micha Bischofberger, Stephan Böhringer, Erik Schkommodau

Page range: 411-417

Abstract

This paper proposes a conceptual method to calculate the pose of a stereo-vision camera relative to an artificial mandible without additional markers. The general method for marker-free navigation has four steps: 1) parallel image acquisition by a stereo-vision camera, 2) automatic identification of 2d point pairs (landmark pairs) in a left and a right image, 3) calculation of related 3d points in the joint camera coordinate system and 4) matching of 3d points generated to a preoperative 3d model (i.e., CT data based). To identify and compare landmarks in the acquired stereo images, well-known algorithms for landmark detection, description and matching were compared within the developed approach. Finally, the BRISK algorithm (Leutenegger S, Chli M, Siegwart RY. BRISK: Binary Robust invariant scalable keypoints. Proceedings of the IEEE International Conference on Computer Vision; 2011: 2548–2555) was used. The proposed method was implemented in MATLAB ® and validated in vitro with one artificial mandible. The accuracy evaluation of the camera positions calculated resulted in an average deviation error of 1.45 mm ± 0.76 mm to the real camera displacement. This value was calculated using only stereo images with over 100 reconstructed landmark pairs each. This provides the basis for marker-free navigation.

August 17, 2022

Mechanical response of different frameworks for maxillary all-on-four implant-supported fixed dental prosthesis: 3D finite element analysis

Zekiye Begüm Güçlü, Ayhan Gürbüz, Gonca Deste Gökay, Rukiye Durkan, Perihan Oyar

Page range: 419-428

Abstract

This study’s purpose is to assess the stress distribution in the peri-implant bone, implants, and prosthetic framework using two different posterior implant angles. All-on-four maxillary prostheses fabricated from feldspathic-ceramic-veneered zirconia-reinforced lithium silicate (ZLS) and feldspathic-ceramic-veneered cobalt-chromium (CoCr) were designed with 17 or 30-degree-angled posterior implants. Posterior cantilever and frontal vertical loads were applied to all models. The distribution of maximum and minimum principal stresses (σmax and σmin) and von Mises stress (σVM) was evaluated. Under posterior cantilever load, with an increase in posterior implant angle, σmax decreased by 4 and 7 MPa in the cortical bone when ZLS and CoCr were used as a prosthetic framework, respectively. Regardless of the framework material, 17-degree-angled posterior implants showed the highest σVM (541.36 MPa under posterior cantilever load; 110.79 MPa under frontal vertical load) values. Regardless of the posterior implant angle, ZLS framework showed the highest σVM (91.59 MPa under posterior cantilever load; 218.99 MPa under frontal vertical load) values. Increasing implant angle from 17 to 30° caused a decrease in σmax values in the cortical bone. Designs with 30-degree posterior implant angles and ZLS framework material may be preferred in All-on-four implant-supported fixed complete dentures.

Ahead of Print / Just Accepted

Ahead of Print / Just Accepted

Volume 67 (2022)

Volume 66 (2021)

Volume 65 (2020)

Volume 64 (2019)

Volume 63 (2018)

Volume 62 (2017)

Volume 61 (2016)

Volume 60 (2015)

Volume 59 (2014)

Volume 58 (2013)

Volume 57 (2012)

Volume 56 (2011)

Volume 55 (2010)

Volume 54 (2009)

Volume 53 (2008)

Volume 52 (2007)

Volume 51 (2006)

Volume 50 (2005)

Volume 49 (2004)

Volume 48 (2003)

Volume 47 (2002)

Volume 46 (2001)

Volume 45 (2000)

Volume 44 (1999)

Volume 43 (1998)

Volume 42 (1997)

Volume 41 (1996)

Volume 40 (1995)

Volume 39 (1994)

Volume 38 (1993)

Volume 37 (1992)

Volume 36 (1991)

Volume 35 (1990)

Volume 34 (1989)

Volume 33 (1988)

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Volume 30 (1985)

Volume 29 (1984)

Volume 28 (1983)

Volume 27 (1982)

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Volume 25 (1980)

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Volume 21 (1976)

Volume 20 (1975)

Volume 19 (1974)

Volume 18 (1973)

Volume 17 (1972)

Volume 16 (1971)

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Issue 1-6

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Issue 1-6

Volume 11 (1966)

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Issue 1-4

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Issue 1-4

Volume 8 (1963)

Volume 7 (1962)

Volume 6 (1961)

Volume 5 (1960)

Volume 4 (1959)

Volume 3 (1958)

Volume 2 (1957)

Volume 1 (1956)

5-year Impact Factor	1.382
Cite Score	3.2
Impact Factor	1.426
Journal Citation Indicator	0.34
SCImago Journal Rank	0.348
Source Normalized Impact per Paper	0.786

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Editorial

Editor-in-Chief
Olaf Dössel (Karlsruhe, Germany)

Associate Editors
Peter Augat (Murnau, Germany)
Thomas Deserno (Braunschweig, Germany)
Jens Haueisen (Ilmenau, Germany)
Anja Hennemuth (Berlin, Germany)
Stefan Jockenhövel (Aachen, Germany)
Steffen Leonhardt (Aachen, Germany)
Gernot Plank (Graz, Austria)
Klaus Radermacher (Aachen, Germany)
Erik Schkommodau (Muttenz, Switzerland)
Thomas Stieglitz (Freiburg, Germany)

Editorial Board
Ulrich Boenick (Berlin, Germany)
Pamela Habibovic (Maastricht, Netherlands)
Branislav Jaramaz (Pittsburgh, USA)
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)
Thomas Penzel (Berlin, Germany)
Andrea Robitzki (Leipzig, Germany)
Klaus-Peter Schmitz (Rostock, Germany)
Tobias Schaeffter (London, UK)
Jess G. Snedeker (Zurich, Switzerland)
Leif Sörnmo (Lund, Sweden)
Nobuhiko Sugano (Osaka, Japan)
Jürgen Werner (Bochum, Germany)
Werner Wolf (Neubiberg, Germany)

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E-mail: bmt.editorial@degruyter.com

(Deutsch)

Online ISSN: 1862-278X
Print ISSN: 0013-5585
Type: Journal
Language: English
Publisher: De Gruyter
First published: January 1, 1956
Publication Frequency: 6 Issues per Year
Audience: 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