bluuebunny/crossref_metadata_2025_split huggingface dataset:
SkillsLab+ - Digitization of the Otoscopy Station through State of the Art Methods of Augmented Reality
Authors: Gießer Christian , Karunairatnam Archsayan , Schmitt Johannes , Brück Rainer 
Published: September 2023

Abstract
The paper discusses SkillsLab+, a medical augmented reality application developed to digitize the practical course SkillsLab. This application provides medical students with a digital tool to learn and apply practical hand movements, initial treatment, and diagnostic techniques. The otoscopy station, one of the stations in SkillsLab+, allows students to learn the correct use of otoscope inserts and perform case discrimination. The digitization of this station provides several advantages over traditional teaching methods. The implementation of the application with the Unreal Engine on the Magic Leap One headset is discussed. The application is modular, allowing the addition of new stations with ease. Anatomically correct models and 3D models of diagnostic tools provide the necessary realism and precision for the application. Learning and exam modes have been included in the application to enhance the learning experience. The evaluation of the application was conducted using a questionnaire completed by 79 bachelor and master students from the fields of medical informatics and digital biomedicine and health sciences. On average, 54.25% of students had a positive response to the digital otoscopy station in the SkillsLab+ application, while 22.71% had a negative response. The questionnaire results indicated that the digitization of the otoscopy station through augmented reality in the SkillsLab+ application was well-received by the students. The SkillsLab+ application digitizes the practical course SkillsLab and offers several advantages over traditional teaching methods. It provides students with a digital tool to learn and apply practical hand movements, initial treatment, and diagnostic techniques. The otoscopy station in SkillsLab+ allows students to learn the correct use of otoscope inserts and perform case discrimination. The digitization of this station provides students with a digital tool that can be used anywhere, any number of times. The evaluation of the application using a questionnaire showed that the application was well received by the students.
Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography
Authors: Janorschke Christian , Xie Jingyang , Lu Xinyu , Grehn Melanie , Blanck Oliver , Schweikard Achim 
Published: September 2023

Abstract
Complex medical therapies can require a multitude of imaging modalities and are often supervised by a team with different medical backgrounds. This necessitates the conversion of medical data between technical systems and visualizations. In the case of stereotactic arrhythmia radioablation therapy (STAR-therapy) of the left ventricle, electroanatomical mapping, ultrasound (US) and computed tomography (CT) are the central imaging modalities that are needed for defining the target volume as well as for the examination and validation pre and post treatment. In the interest of developing a motion management system for STAR-therapy, a way to transfer information and visualizations between these modalities and to compare data from different patients is needed. For this purpose, we present a landmark-based approach for the generation of commonly used ultrasound views and the 17-segment model from cardiac computed tomography (CCT) data. The developed tool can already be used to aid the examination process by extracting function-based views from CT datasets, comparing them to live US imaging, localize CT structures within the 17-segment model or to transfer information like motion or strain data from one modality to the other. In the future, it will be used in the development of a live or predictive management system for cardiac and respiratory motion.
Microfluidic devices for light stimulation of cell suspensions: experimental analysis of the flow behaviour using a micro-PIV system
Authors: Thürling Mario , Verena Witt Anna , Mau Robert , Drobek Christoph , Seitz Hermann 
Published: September 2023

Abstract
Photobiomodulation, the light stimulation of regenerative active cells, offers great potential for promoting tissue repair and regeneration. In this study, we show the design and fabrication of two microchannel devices for light stimulation of cell suspensions. The microchannels in the 3D-printed devices allow the uniform distribution of cells and exposure to light. Our experimental results demonstrate the ability of these microfluidic devices to improve light intake of cells in suspensions during photobiomodulation, thus enhancing the therapeutic potential.
Developing a new focal vibration and heat therapy system
Authors: Abbasimoshaei Alireza , Laatz Dominik , Kern Thorsten Alexander 
Published: September 2023

Abstract
Vibrational heating therapy is a type of physical therapy that uses the application of heat and vibrations to stimulate the body’s healing process. The therapy is believed to promote circulation, reduce inflammation, and relieve muscle tension. It is often used to treat conditions such as arthritis, fibromyalgia, and sports injuries. This paper presents the design-decisions for a device treating muscle soreness and to increase muscle strength through a combination of heat and vibration therapy to the upper leg. The system comprises farinfrared heat elements for heat transfer and two types of eccentric rotating masses (ERMs) and a linear resonant actuator (LRA) to vibrate muscle tissue. It discusses heating and vibration capability and performance. To optimize the mechanical effects of vibration therapy, the device must excite the muscle with an acceleration of more than 2 g and with a bandwidth as wide as the range of the muscle natural frequencies. For testing the heating and vibrational systems, they were tested in the same device on six different subjects with ethics permission from Technical University of Hamburg to obtain accurate results. Both ERMs were driven by DC power and yielded a bandwidth of about 30 Hz with a linear progression of acceleration over frequency, while the LRA was driven by AC power and achieved a bandwidth of about 24 Hz in the form of a bell curve. Also the selected heating element provides the desired temperature between 40 ∘C to 50 ∘C. Overall, the initial technical study showed promising measurement results and a mechanical effect in using this combination of heat and vibration therapy. As an outlook, the technical design of the next version of the device will include multiple actuators around the leg to provide more acceleration and aims to combine multiple LRAs with slightly shifted natural frequencies into one actuator module to extend the bandwidth.
Design and Development of a Bioreactor System for Mechanical Stimulation of Musculoskeletal Tissue
Authors: Bartel Theresa , Mortimer Jeremy W. , Zylka Waldemar , Paxton Jennifer Z. , Vorstius Jan 
Published: September 2023

Abstract
We report on the development of a bioreactor system for mechanical stimulation of musculoskeletal tissues. The ultimate object is to improve the quality of medical treatment following injuries of the enthesis tissue. To this end, the tissue formation process through the effect of mechanical stimulation is investigated. A six-well system was designed, 3D printed and tested. An integrated actuator creates strain by applying a force. A contactless position sensor monitors the travels. An electronic circuit controls the bioreactor using a microcontroller. An IoT platform connects the microcontroller to a smartphone, enabling the user to alter variables, trigger actions and monitor the system. The system was stabilised by implementing two PID controllers and safety measures. The results show that the bioreactor design is suited to execute mechanical stimulation and to investigate the tissue formation and regeneration process. The bioreactor reported here can now be implemented in tissue engineering applications including tissue specimen.
Universal test bench for repeatable multiparametric cochlear implant insertion tests
Authors: Böttcher-Rebmann Georg , Lange Vera , Schell Viktor , Cramer Jakob , Lenarz Thomas , Rau Thomas S. 
Published: September 2023

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.
Controlling Leakage of Potential Juxtacrine Self-Assembled Monolayer-BMP-2 Surfaces
Authors: Holtkamp Julia , Jennissen H. P. 
Published: September 2023

Abstract
A question which has been intriguing researchers since 1969 is whether covalently linked hormones or growth factors on surfaces are still biologically active i.e. still bind and activate cell surface receptors in the insoluble state. There is evidence of release or leakage of rhBMP-2 covalently linked to self-assembled monolayers (SAMs) on gold surfaces. After detergent wash (SDS), juxtacrine surfaces with rhBMP-2 appear functionally feasible at fM release.
Impact of the Right Atrium on Arrhythmia Vulnerability
Authors: Fitzen Nikola André , Martínez Díaz Patricia , Dössel Olaf , Loewe Axel 
Published: September 2023

Abstract
Atrial fibrillation (AF) is one of the most common cardiac diseases. However, a complete understanding of how to treat patients suffering from AF is still not achieved. As the isolation of the pulmonary veins in the left atrium (LA) is the standard treatment for AF, the role of the right atrium (RA) in AF is rarely considered. We investigated the impact of including the RA on arrhythmia vulnerability in silico. We generated a dataset of five mono-atrial (LA) and five bi-atrial models with three different electrophysiological (EP) setups each, regarding different states of AF-induced remodelling. For every model, a pacing protocol was run to induce reentries from a set of stimulation points. The average share of inducing points across all EP setups was 0.0, 0.8 and 6.7% for the mono-atrial scenario, 0.5, 27.3 and 37.9% for the biatrial scenario. The increase in inducibility of LA stimulation points from mono- to bi-atrial scenario was 0.91 ± 2.03%, 34.55 ± 14.9% and 44.2 ± 14.9 %, respectively. In this study, the RA had a marked impact on the results of the vulnerability assessment that needs to be further investigated.
Temperature-triggered liquefication of hydrogels for intentional implant removal
Authors: Finck Laura , Hagemann Valentin , Behrens Peter , Menzel Henning 
Published: September 2023

Abstract
The Diels-Alder (DA) reaction is one of the most studied thermoreversible reactions, suitable for the preparation of thermoreversible crosslinked materials. In this study, temperature- triggered liquefaction of DA hydrogels will be investigated. A DA model reaction is used to determine the retro- DA temperature of the two stereoisomers. A hydrogel based on furan-functionalized Poly-(N-(2-hydroxy-propyl) methacryl amide (PHPMA) and 4-arm-polyethylene glycol (PEG) with maleimide endgroups is rheologically investigated and liquefaction experiments are performed.
Prototype of a Coupling Device to Investigate Focused Ultrasound-Induced Inertial Cavitation for Drug Delivery Applications
Authors: George Benedikt , Wittenbrink Michel , Savšek Ula , Kroh Christian , Fischer Dagmar , Ermert Helmut , Rupitsch Stefan J. 
Published: September 2023

Abstract
Focused ultrasound (FUS) can be used as a drug delivery application for localized chemotherapy to treat cancer. The effect of ultrasound-induced inertial cavitation is promising to trigger drug release from nanocarriers. To investigate this effect, usually, a passive cavitation detection setup is employed. However, applying such a setup is challenging for in vivo experiments, as the test object may need to be fixed inside the water tank. Thus, we present a prototype of a coupling device that could significantly simplify experiments. Since this setup favors undesired sound wave interference and their resulting exceedance of the Mechanical Index, we additionally investigated different signal lengths. The occurrence of standing waves at a signal length of 44 cycles can both be derived from a changing cavitation activity and our calculations. The appearing interference also results in a mean increase of the cavitation activity by ≈ 5.1 %, verified by our experiments as well.
Implementation of an Ultrasonic-Based Link for Percutaneous Communications
Authors: Helmerich Jan , Schaechtle Thomas , Wich Manfred , Szabo Benedikt , Stieglitz Thomas , Rupitsch Stefan J. 
Published: September 2023

Abstract
The emerging desire for implantable devices assisting individuals’ medical treatments requires their connection to systems placed outside and inside the human body. Their exchange of crucial information on health parameters at different locations may allow them to optimize the patient’s therapy by evaluating the received and transmitted data. Electromagnetic communication methods are the current implementation of choice for such applications. Yet, this kind of communication is often limited to shorter distances due to their restrictions on safe electromagnetic levels, causing no damaging heat dissipation in human tissue. In contrast, employing ultrasound as an alternative method will allow for long-distance communication in the same medium by simultaneously guaranteeing safety requirements for the patient. In this contribution, we will demonstrate a proof-of-concept for which we modulate ultrasonic carrier signals with the help of a low-power consumption microcontroller TI-MSP430. For this, two identical non-focused ultrasonic transducers will be used to receive and send messages through a tissue-mimicking phantom placed in a water tank, indicating the potential of ultrasonic signals as the carrier of information.
Extension of an Existing VR Memory Training with Haptic Impressions due to a Haptic Vest
Authors: Schmücker Vanessa , Jakob Rebekka , Grensing Florian , Brück Rainer , Eiler Tanja 
Published: September 2023

Abstract
Cognitive performance is an important aspect of life. Not only does thinking enable us to act, there is also an interaction between cognitive performance and mental health. It is therefore increasingly important to train and practice one’s cognitive abilities and benefit from brain plasticity. According to Vester’s model of learning types visual, auditiv and haptic impression are imporant for learning. An existing memory training application, which transfers the concept of the game Pairs with personal memories into virtual reality (VR), has now been supplemented with a haptic impression. The original application already establishes the visual and auditory perception channels. With new haptic hardware constantly appearing on the market, the Tactsuit X40 haptic vest from bhaptics has now made it possible to include a third perceptual channel with a wide variation of haptic sensations on various parts of the upper body. Each playing card is associated with an individual image, a piece of music and a vibration pattern. All of which are designed to help the user remember the position of the card. Each of these aspects can be freely enabled and disabled. The result of this work is an application which aims to find if and how strongly haptic impressions influence memory performance. By taking more types of learning into account, we hope to achieve a better memory training. A study has been designed to evaluate the specific aspects of the application and is currently being carried out. In addition to the self-generated haptic patterns, it is also possible to generate haptic impulses based on audio sources. These could possibly provide further support in this application.
Lymphoma Cell Nuclei Classification using Color and Morphology Features
Authors: Naji Hussein , Hahn Lunas , Bozek Katarzyna 
Published: September 2023

Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of Non-Hodgkin’s Lymphoma, presenting a great challenge for treatment due to its highly heterogeneous nature. DLBCL is diagnosed based on microscopy images of patient tissue samples. To help gain a better understanding of DLBCL, we developed an automated computer vision method to analyze morphological and color-based information within patient biopsies. We analyzed a dataset of whole slide images of DLBCL by segmenting individual cells and representing cell morphologies through a set of engineered features. The features were evaluated using a variety of visualization and machine learning (ML) classification techniques. Current state-of-the-art deep learning methods use images as the input in classification tasks achieving high performance but lacking in interpretability. A big challenge lies in finding out what features the pixel-based deep learning methods utilize in prediction. Here, we present a technique that not only yields high prediction accuracy but also provides insights into which of the features are key for prediction. We show that the color-based features have the highest importance for cell classification, allowing for the accurate identification of various cell types with an accuracy of 84% in a multi-class and 91% in a binary classification. Our results provide valuable insights for exploring cell image datasets to gain an in-depth view of the tumor microenvironment.
Detection of activities of daily living with decision trees through a technical assistance system
Authors: Krabbe Aileen , Seidel Roman , Hirtz Gangolf 
Published: September 2023

Abstract
To cope with the increasing demands in care due to the aging society and the simultaneous lack of professional caregivers， a technical assistance system can help to monitor elderly people in their own homes and to support professional caregivers and caring relatives. The technical assistance system consists of a smart sensor with an omnidirectional camera on the ceiling of each room and additionally, other smart home sensors in an apartment for elderly persons. Based on smart sensor data, the positions, poses, and activities of the patient are detected with the help of machine learning (ML) techniques. In this work a temporal behaviour model of the patient is developed to recognize activities of daily living (ADL) such as "eating", "sleeping" or "emergency". For this, the actions (e.g., walking, sitting) and the location in the current room of the patient, as well as the data of other sensors in the apartment are used. This input data is fed into a trained decision tree of depth 14, which ultimately determines the patient’s activity. The accuracy for detecting activities of daily living with the decision tree is 96.47%, where the activities can be detected in real-time.
App for the prevention of malnutrition in vegan diet
Authors: Seifert Oskar , Benselama Selima , Sohrabi Keywan , Gross Volker , Scholtes Michael 
Published: September 2023

Abstract
More and more people are changing their lifestyle to a vegan diet. On the one hand, a vegan diet can help reduce the risk of nutrition-related diseases, but on the other hand, the vegan diet itself poses the risk of malnutrition. Therefore, nutrient intake should be managed and any nutrient interactions should be considered. The aim of this paper is to work out a development strategy for a nutrition app for a vegan diet. With the help of a market analysis, unique selling proposition were identified and regulatory requirements have been determined. It could be shown that there is currently no adequate app that is approved as a medical device, focuses on the vegan diet and considers nutrient interactions. The necessary regulatory requirements could be identified. There are many apps available, but without medical device approval. From the authors' perspective, this would be necessary to ensure a high level of safety and health protection for users.
Development and Evaluation of a Cost-effective IMU System for Gait Analysis: Comparison with Vicon and VideoPose3D Algorithms
Authors: Wilhelm Nikolas , Micheler Carina M. , Lang Jan J. , Hinterwimmer Florian , Schaack Victor , Smits Ricardo , Haddadin Sami , Burgkart Rainer 
Published: September 2023

Abstract
This study aimed to develop and evaluate a costeffective Inertial Measurement Unit (IMU) system for gait analysis, comparing its performance with the Vicon system and the VideoPose3D algorithm. The system comprises five calibrated sensors and a mobile app to measure lower body orientation during gait and stair climbing. Eight healthy participants were involved in the experiment, each performing ten repetitions to analyze hip and knee flexion angles. The IMU system demonstrated significantly lower mean square error than deep learning-based approaches and comparable results to the Vicon system, indicating its potential for clinical and research applications.