bluuebunny/crossref_metadata_2025_split huggingface dataset:
State-of-the-Art: Biodesign based Innovation Ecosystems in Europe
Authors: Fritzsche Holger , Mahbub Elaha , Boese Axel , Friebe Michael 
Published: December 2021

Abstract
Today's healthcare challenges with unmet clinical needs, high regulation and certification standards, and increasing costs demand faster innovation and technical translation. To address this challenge, Stanford released a fellowship called Biodesign, where need-based healthcare innovation is taught with the approach identify, invent and implement. Since then, different European institutions have adopted the Biodesign innovation approach and organized within the Biomedical Engineering- Innovation, Design, and Entrepreneurship Alliance (BMEidea EU). The generation of successful healthcare innovation isn't only based on participating in an Innovation teaching program. It is much more a matter of having the right innovation ecosystem with an open creative mindset, experts, the respective stakeholders, and access to essential resources within reach (close to clinic). Through a qualitative survey, seven Biodesign based teaching programs in the EU were examined. The study from an academic perspective contains information covering Resources, Activities, Academic Performance, and Transfer Performance. The demand for new healthcare innovations, and especially innovation training programs that address challenges, developed collaboratively with the respective stakeholders, is increasing. Additionally, there is a growing expectation that innovation needs to reach the market quickly and be implemented accordingly. A Healthcare Innovation Ecosystem, where different entities function as a productive unit with a shared vision and committed to application-driven research and technology transfer, will increase innovation's success and adaptation.
Minimum irradiance required to inhibit microbial growth to prevent ventilatorassociated pneumonia by an endotracheal tube equipped with blue LEDs
Authors: Sicks Ben , Stock Christina , Peter Sarah , Meurle Tobias , Hoenes Katharina , Spellerberg Barbara , Hessling Martin 
Published: December 2021

Abstract
Artificial respiration is saving lives especially in the COVID-19 pandemic, but it also carries the risk to cause ventilator-associated pneumonia (VAP). VAP is one of the most common and severe nosocomial infections, often leading to death and adding a major economic burden to the healthcare system. To prevent a proliferation of microbial pathogens that cause VAP, an endotracheal tube (ETT) equipped with blue LEDs (LED-ETT) was developed. This blue wavelength exhibits antimicrobial properties but may also harm human tracheal cells at higher irradiances. Therefore, the aim of this study was to find the minimal required irradiance for microbial reduction of 1 log level in 24 h by applying LED-ETTs. A LED-ETT with 48 blue LEDs (450 nm) was fixed in a glass tube, which served as a trachea model. The investigation was carried out with irradiations of 4.2, 6.6 and 13.4 mW/cm² at 37 °C for 24 h. The experiments were performed with Acinetobacter kookii as a surrogate of Acinetobacter baumannii, which is classified as critical by the WHO. Samples of A. kookii suspensions were taken every 4 h during irradiation from the trachea model. Bacteria concentrations were quantified by determining colony forming units (CFU)/ml. A homogeneous irradiance of only 4.2 mW/cm² generated by the blue LEDs, at a LED forward current of 3.125 mA, is sufficient to achieve a 1 log reduction of A. kookii within 24 h. The total irradiation dose within this period was 360 J/cm2. Human cells survive this dose without cellular damage. Previous studies revealed that the pathogen A. baumannii is even more sensitive to blue light than A. kookii. Therefore, blue LED-ETTs are expected to reduce A. baumannii without harming human tracheal cells.
Flow profile generation for a left ventricular assist device using iterative learning control
Authors: Borchers Patrick , Walter Marian , Leonhardt Steffen , Telyshev Dmitry , Pugovkin Alexander 
Published: December 2021

Abstract
Nowadays, rotary blood pumps for the treatment of end-stage heart failure patients are usually fixed-speed controlled. Therefore, without sufficient heart activity, patients may reveal reduced blood flow pulsatility. However, there is evidence that pulsatile flow reduces adverse events. Furthermore, optimized pump flow profiles could be used to achieve certain control objectives. Therefore, a pump flow model is identified and subsequently used to design a control system with an iterative learning controller to generate desired pump flow patterns. Either a flow sensor is required for direct measurement or the flow can be estimated from pressure sensor readings using the proposed pump flow model. For comparison, a PID controller with disturbance feedforward control is also designed. Furthermore, the robustness against respiratory sinus arrhythmia is analyzed.
Customised micro-electrode array (MEA) test setup featuring a silicone-casted overlay with two chambers for separated cell seedings
Authors: Mau Robert , Kussauer Sophie , Matzmohr Uta , David Robert , Seitz Hermann 
Published: December 2021

Abstract
Micro-electrode array (MEA) systems are noninvasive platforms for the investigation of electrophysiological properties of cell layers, such as spontaneously active cardiomyocytes. An MEA chip is composed of two-dimensional grids of dot-like electrodes embedded into glass. Here we present a test setup featuring a customised two-chamber silicone overlay. The overlay is designed to be placed on an MEA with two separate electrode fields and enables the seeding of two distinct cell sub-types on the MEA for synchronised drug testing applications while giving the possibility of analysing intersubtype-specific cellular interactions. The overlay has a full size of 10 x 10 x 5 mm (width x length x height), each chamber has a size of 2.5 x 6 x 5 mm (V = 75 mm³). The chambers are separated by a wall with a thickness of 0.3 mm. The overlay was manufactured via silicone-casting, utilising a 3D printed model. The model is 3D printed via high accurate digital light processing (DLP). In addition, a DLP 3D printed cover optimises the attachment of the overlay on an MEA. A proofof- principle of the utilisation of the overlay is demonstrated.
Characterization of loading profiles via handrails and harness during body weight supported treadmill training
Authors: Schmidt Katharina , Hochmann David 
Published: December 2021

Abstract
Body weight supported treadmill training is used for patients who are severely limited in their movements. During walking therapy handrails and harnesses ensure the patient’s stability and safety. Although, locomotion training is a common rehabilitation technique, data of forces applied to handrails or overhead lifts are limited. Therefore, the primary objective of this study was to measure the vertical reaction force during treadmill therapy. An additional purpose was the characterization of the loading profiles by defining suitable parameters. To measure the patient’s needs for support during treadmill training, the handrails were instrumented with strain gauges and a force sensor was placed between the harness and the ceiling lift. In order to provide gait phase detection, an inertial sensor was attached to each foot. The results confirm that the combined measuring systems are appropriate to record the total vertical weight relief. Although all patients show different loading profiles, a recurring pattern can be recognized for each patient, which allows the derivation of various parameters to characterize the single profiles. The additional information of the measurements can help the supervising physiotherapist to better understand the specific level of support the patient needs. A subsequent response and the providing of corresponding instructions by the therapist can lead to an even more individualized therapy.
Finite Element Modelling of a Hearing Contact Lens Coupled to the Middle Ear
Authors: Burovikhin Dmitrii , Lauxmann Michael , Dalhoff Ernst 
Published: December 2021

Abstract
Hearing contact lens (HCL) is a new type of hearing aid devices. One of its main components is a piezoelectric actuator (PEA). In order to evaluate and maximize the HCL’s performance, a model of the HCL coupled to the middle ear was developed using finite element (FE) approach. To validate the model, vibrational measurements on the HCL and temporal bones were performed using a Laser-Doppler-Vibrometer (LDV). The model was validated step by step starting with HCL only. Then a silicone cap was fitted onto the HCL to provide an interface between the HCL and the tympanic membrane. The HCL was placed on the tympanic membrane and additional measurements were performed to validate the coupled model. The model was used to evaluate the sensitivity of geometrical and material parameters with respect to performance measures of the HCL. Moreover, deeper insight was gained into the feedback behavior, which causes whistling sounds, and the contact between the HCL and tympanic membrane.
Influence of surface material and reprocessing on the durability of antimicrobial surfaces
Authors: Buhl Sebastian , Stich Alexander , Vogt Jeannine , Brückner Ralph , Bulitta Clemens 
Published: December 2021

Abstract
The risk of infection from contaminated surfaces has already been shown in several publications. Due to the increased demand for optimized infection control measures during the Corona pandemic, antimicrobial surface technologies have gained more an interest. Apart from many proofs of efficacy, there are only a few studies dealing with the durability of these surface coatings with regard to the material and the reprocessing measures. This work did therefore examine the impact of different materials and surface textures, as well as different detergents and disinfectants, on the durability of antimicrobial surface technologies. Differently structured materials (glass, wood, plastics, metal) and wallpaper bonded to plasterboard were coated with an TiO2Ag based antimicrobial coating (HECOSOL GmbH, Bamberg). These test samples are then used to perform abrasion tests with various cleaning and disinfecting agents and cloth systems (microfiber cloth, cotton cloth, foam cloth). The majority of the test samples in our experimental setup showed at least significant activity. According to our results, both the selection of cleaning and disinfection methods including wiping systems and the surface material have a major impact on the durability of antimicrobial coatings. In order to be able to come to conclusions about the long-term activity of these surface technologies, the effectiveness should be tested not only during the development phase, but also in the finished product and again after several reprocessing cycles in use.
Technical light-field setup for 3D imaging of the human nerve head validated with an eye model
Authors: Schramm Stefan , Dietzel Alexander , Blum Maren-Christina , Link Dietmar , Klee Sascha 
Published: December 2021

Abstract
With the new technology of 3D light field (LF) imaging, fundus photography can be expanded to provide depth information. This increases the diagnostic possibilities and additionally improves image quality by digitally refocusing. To provide depth information in the human optic nerve head such as in glaucoma diagnostics, a mydriatic fundus camera was upgraded with an LF imager. The aim of the study presented here was the validation of the technical setup and resulting depth estimations with an appropriate eye model. The technical setup consisted of a mydriatic fundus camera (FF450, Carl Zeiss Meditec AG, Jena, Germany) and an LF imager (R12, Raytrix GmbH, Kiel, Germany). The field of view was set to 30°. The eye model (24.65 mm total length) consisted of a two-lens optical system and interchangeable fundus models with papilla excavations from 0.2 to 1 mm in steps of 0.2 mm. They were coated with red acrylic lacquer and vessels were drawn with a thin brush. 15 images were taken for each papilla depth illuminated with green light (wavelength 520 nm ± 20 nm). Papilla depth was measured from the papilla ground to the surrounding flat region. All 15 measurements for each papilla depth were averaged and compared to the printed depth. It was possible to perform 3D fundus imaging in an eye model by means of a novel LF-based optical setup. All LF images could be digitally refocused subsequently. Depth estimation in the eye model was successfully performed over a 30° field of view. The measured virtual depth and the printed model papilla depth is linear correlated. The presented LF setup allowed high-quality 3D one-shot imaging and depth estimation of the optic nerve head in an eye model.
The Online “Expert-Panel” – Review of a Novel Web-seminar Format
Authors: Mattis Patricia , Habenstein Birgit , Wittenberg Thomas 
Published: December 2021

Abstract
Since 2021, the Fraunhofer Institutes ITEM and IIS and the German Society for Biomedical Engineering (VDE DGBMT) have launched a new online seminary. This sustainable format, referred to as "Expert Panel", stimulates scientific interaction by introducing research topics and innovations within sixty minutes. The panel with three experts from different fields presents and discusses perspectives from science, clinical practice, and the industry. The first season of the "Expert Panel" offered comprehensive insights on the latest developments and innovations within "New Interventional Methods for Tomorrow's Hearing". Each topic was presented by a triad of experts from science, clinical practice, as well as the industry. The sessions comprised life-demonstration of planning tools for surgical interventions, the presentation of patient-individual intervention techniques and novel audiological systems for Cochlea Implant (CI) fitting and many more inspiring technologies. Each “Expert Panel” concluded with a moderated Q&A final. The sessions provided condensed updates and unique insights from applied research and had a lively attendance of up to more than 120 participants from the fields of research, clinic, and industry. This kind of format does not only drive interpersonal and interdisciplinary knowledge transfer - especially in times of home office - it also enables establishing a community of network partners, who meet at the “Expert Panel” on a regular basis. In addition, education credits have been offered to the medical community, thus creating additional benefit for the participants.
Towards computer aided diagnosis of infective endocarditis in whole-slide images of heart valve tissue using FISH
Authors: Bruns Volker , Franz Daniela , Kuritcyn Petr , Wiesmann Veit , Rathke Magnus , Wittenberg Thomas , Wießner Alexandra , Kursawe Laura , Moter Annette , Kikhney Judith , Münzenmayer Christian 
Published: December 2021

Abstract
Infective endocarditis (IE) is an infection of the endocardium, and the heart valves associated with high morbidity and mortality. Fluorescence in situ Hybridization (FISH) is a molecular imaging technique used for diagnosis of IE based on histological heart valve tissue sections. FISH allows detection and identification of microorganisms and gives information about their quantity and spatial distribution. This information is important to guide appropriate antibiotic treatment. However, as manual FISH image analysis is time- and costexpensive, an automated image analysis pipeline (consisting of tissue segmentation, bacteria detection, and spot detection modules) is proposed to assist locating potential regions with microorganisms. The proposed approach was evaluated in a study, where five observers manually assessed a set of 171 fields-of-view (FoVs) captured in 400-fold magnification from 10 randomly chosen WSI for the presence of microorganisms, morphologically detected by the nucleic acid stain DAPI. The task of the observers was to mark the presented image using a 2-class score (‘positive/questionable’ or ‘negative’). The human assessment was compared to the results suggested by the algorithm. The proposed algorithm locates and ranks potential regions with microorganisms in heart valve sections so that experts can validate them in higher power FoVs for the presence of bacteria and identify their species. The automated system for preselecting and recommending adequate FoVs is thus a starting point to support experts and save human resources. It is now ready to be further developed for the detection of bacteria by FISH.
Changes of Physiological parameters of the patient during laparoscopic gynaecology
Authors: Jalal Nour Aldeen , Alshirbaji Tamer Abdulbaki , Docherty Paul D. , Neumuth Thomas , Laufer Bernhard , Moeller Knut 
Published: December 2021

Abstract
Analysing and fusing data from the medical devices of different disciplines (anaesthesiology and surgery) inside the operating rooms may promote awareness during surgical procedures. In this work, the changes of physiological parameters of patients undergoing laparoscopic gynaecology procedures were analysed. The statistical relationship between the intra-abdominal pressure and airway peak pressure was evaluated. Patients ventilated with pressure-controlled ventilation (PCV) and intermittent mandatory ventilation (IMV) were included. The results demonstrated that increasing the intra-abdominal pressure (IAP) resulted in increasing the airway peak pressure and decreasing the lung compliance. The Pearson correlation coefficient between the IAP and the airway peak pressure was 0.910 in PCV-patients and 0.952 in IMV-patients when changes of the ventilation settings were considered. Additionally, major hemodynamic changes included alterations in the mean blood pressure (MBP), where the MBP increased after insufflating the abdomen and decreased after abdomen deflation.
Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry
Authors: Stadler Sebastian , Borrero Eduardo Romero , Zauner Johannes , Hanshans Christian 
Published: December 2021

Abstract
In the scientific field, data acquisition using commercial or self-developed sensors is a necessity for many research activities. Data security and data privacy are important requirements in all types of IoT applications, especially in the medical context. IoTree42 is a powerful, OpenSource platform that closes the gap between cost-efficiency, the ease of use and digital sovereignty. The flexible and user-friendly design makes the platform ideal for the originally conceived research context. Nevertheless, it can be used for smaller budget-oriented setups and industrial applications with thousands of sensors and actuators likewise. The platform was developed with security in mind by minimizing interfaces and the use of stable software components and transport protocols. IoTree42 utilizes lightweight OpenSource software cast into a flexible backend, allowing the deployment not only on full-fledged servers but also on single board computers like the Raspberry Pi. Data is transmitted with low overhead via MQTT, a robust protocol optimized for machine to machine communication. The transmission technology between all components is freely selectable. Besides data acquisition, IoTree42 enables control of actuators and automation through interfaces with visual programming tools. This allows for remote interventions without requiring prior programming experience. The incoming data can conveniently be visualized in dashboards or easily be exported for further analysis. The network consists of a central server and satellites (gateways) arranged in a star topology. Sensors and actuators connect to the gateway. The initial setup of the server and the gateways is automated, well documented, and can be done within minutes. Thanks to the increasing usage and the contribution of the community, the pool of code examples for sensors is growing and lowers the entry hurdle for users without programming background. IoTree42 is a fast-growing, multi-user, hardware and cloud agnostic, easy to deploy, privacy compliant and competitive solution compared to commercial IoT alternatives.
Comparison of Characteristics of Poly(Nisopropylacrylamide) in Bulk Hydrogel and Ball-milled Microgel Forms
Authors: Huling Jennifer , Illner Sabine , Grabow Niels , Teske Michael 
Published: December 2021

Abstract
Poly(N-isopropylacrylamide) hydrogels are a popular temperature sensitive biomaterial. Bulk hydrogels can be quickly and easily processed into microgels using a ball mill. However, there is no information on whether the mechanical milling process affects critical PNIPAM characteristics. In this work, we compare swelling and thermo-responsive properties for a series of PNIPAM gels in bulk and microgel forms.
Generalised Image Processing Method for Quantitative Analysis of Nucleus, Cell and Focal Adhesion Clusters
Authors: Nair Rajasree Padmakumari Hemachandran , Menon Rohit , Kemkemer Ralf 
Published: December 2021

Abstract
Focal adhesion clusters (FAC) are dynamic and complex structures that help cells to sense physicochemical properties of their environment. Research in biomaterials, cell adhesion or cell migration often involves the visualization of FAC by fluorescence staining and microscopy, which necessitates quantitative analysis of FAC and other cell features in microscopy images using image processing. Fluorescence microscopy images of human umbilical vein endothelial cells (HUVEC) obtained at 63x magnification were quantitatively analysed using ImageJ software. A generalised algorithm for selective segmentation and morphological analysis of FAC, nucleus and cell morphology is implemented. Further, a method for discrimination of FAC near the nucleus and around the periphery is implemented using masks. Our algorithm is able to effectively quantify different morphological characteristics of cell components and shows a high sensitivity and specificity while providing a modular software implementation.