@article{1799, abstract = { Humans learn movements naturally, but it takes a lot of time and training to achieve expert performance in motor skills. In this review, we show how modern technologies can support people in learning new motor skills. First, we introduce important concepts in motor control, motor learning and motor skill learning. We also give an overview about the rapid expansion of machine learning algorithms and sensor technologies for human motion analysis. The integration between motor learning principles, machine learning algorithms and recent sensor technologies has the potential to develop AI-guided assistance systems for motor skill training. We give our perspective on this integration of different fields to transition from motor learning research in laboratory settings to real world environments and real world motor tasks and propose a stepwise approach to facilitate this transition. }, author = {Vandevoorde, Koenraad and Vollenkemper, Lukas and Schwan, Constanze and Kohlhase, Martin and Schenck, Wolfram}, issn = {1424-8220}, journal = {Sensors}, keywords = {motor learning, motor skill learning, assistance system, artificial intelligence, machine learning, pose estimation, action recognition, human motion analysis}, number = {7}, publisher = {MDPI AG}, title = {{Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks}}, doi = {10.3390/s22072481}, volume = {22}, year = {2022}, } @article{1592, abstract = { Biosignals often have to be detected in sports or for medical reasons. Typical biosignals are pulse and ECG (electrocardiogram), breathing, blood pressure, skin temperature, oxygen saturation, bioimpedance, etc. Typically, scientists attempt to measure these biosignals noninvasively, i.e., with electrodes or other sensors, detecting electric signals, measuring optical or chemical information. While short-time measurements or monitoring of patients in a hospital can be performed by systems based on common rigid electrodes, usually containing a large amount of wiring, long-term measurements on mobile patients or athletes necessitate other equipment. Here, textile-based sensors and textile-integrated data connections are preferred to avoid skin irritations and other unnecessary limitations of the monitored person. In this review, we give an overview of recent progress in textile-based electrodes for electrical measurements and new developments in textile-based chemical and other sensors for detection and monitoring of biosignals. }, author = {Blachowicz, Tomasz and Ehrmann, Guido and Ehrmann, Andrea}, issn = {1424-8220}, journal = {Sensors}, keywords = {ECG, EMG, sweat, health condition, health status, elderly, firefighters, sportsman}, number = {18}, publisher = {MDPI AG}, title = {{Textile-Based Sensors for Biosignal Detection and Monitoring}}, doi = {10.3390/s21186042}, volume = {21}, year = {2021}, } @article{1427, abstract = { In this review article, we conceptually investigated the requirements of magnetic nanoparticles for their application in biosensing and related them to example systems of our thin-film portfolio. Analyzing intrinsic magnetic properties of different magnetic phases, the size range of the magnetic particles was determined, which is of potential interest for biosensor technology. Different e-beam lithography strategies are utilized to identify possible ways to realize small magnetic particles targeting this size range. Three different particle systems from 500 μm to 50 nm are produced for this purpose, aiming at tunable, vertically magnetized synthetic antiferromagnets, martensitic transformation in a single elliptical, disc-shaped Heusler Ni50Mn32.5Ga17.5 particle and nanocylinders of Co2MnSi-Heusler compound. Perspectively, new applications for these particle systems in combination with microfluidics are addressed. Using the concept of a magnetic on–off ratchet, the most suitable particle system of these three materials is validated with respect to magnetically-driven transport in a microfluidic channel. In addition, options are also discussed for improving the magnetic ratchet for larger particles. }, author = {Kappe, Daniel and Bondzio, Laila and Swager, Joris and Becker, Andreas and Büker, Björn and Ennen, Inga and Schröder, Christian and Hütten, Andreas}, issn = {1424-8220}, journal = {Sensors}, number = {16}, publisher = {MDPI AG}, title = {{Reviewing Magnetic Particle Preparation: Exploring the Viability in Biosensing}}, doi = {10.3390/s20164596}, volume = {20}, year = {2020}, } @article{3230, abstract = {Failure of laparotomy closure develops after up to 20 % of abdominal operations. Suture tension has an influence on the quality of tissue regeneration. No sensors are available to register suture tension dynamics. Methods: In a series of animal experiments, the effects of suture tension on the ultrastructure of the healing incision were examined. Surgeons´ ability to suture with target tension was tested. An implantable sensor and data logger were constructed and tested in sutures closing midline laparotomies in pigs. The influence of elevated intra-abdominal pressure on suture tension dynamics was evaluated. Results: High suture tension has a negative influence on the regeneration of laparotomy incisions. Running sutures for laparotomy closure lose 45 % of their initial tension during 23 hours. Intermittent elevation of intra-abdominal pressure to 30 mm Hg leads to a near total loss of suture tension after 23 hours. Conclusion: Surgeons are not able to control and reproduce suture tension. Suture tension dynamics can be measured in vivo by the sensor developed. Further research is needed to define a tissue specific suture tension optimum to reduce the incidence of complications after laparotomy. Techniques for laparotomy closure need to be modified.}, author = {Höer, Jörg and Wetter, Oliver Utz}, issn = {1424-8220}, journal = {Sensors}, keywords = {suture tension, incisional hernia, laparotomy closure, laparotomy, implantable sensor, tactile control, surgical complications, surgical technique}, number = {6}, publisher = {MDPI AG}, title = {{Miniaturized Sensors Registering the Long-Term Course of Suture Tension In Vivo under Varying Intra-Abdominal Pressure}}, doi = {10.3390/s18061729}, volume = {18}, year = {2018}, } @article{1436, author = {Teich, Lisa and Schröder, Christian}, issn = {1424-8220}, journal = {Sensors}, number = {11}, pages = {28826--28841}, publisher = {MDPI AG}, title = {{Hybrid Molecular and Spin Dynamics Simulations for Ensembles of Magnetic Nanoparticles for Magnetoresistive Systems}}, doi = {10.3390/s151128826}, volume = {15}, year = {2015}, } @article{1437, author = {Teich, Lisa and Kappe, Daniel and Rempel, Thomas and Meyer, Judith and Schröder, Christian and Hütten, Andreas}, issn = {1424-8220}, journal = {Sensors}, number = {4}, pages = {9251--9264}, publisher = {MDPI AG}, title = {{Modeling of Nanoparticular Magnetoresistive Systems and the Impact on Molecular Recognition}}, doi = {10.3390/s150409251}, volume = {15}, year = {2015}, }