Article
Engineering, Multidisciplinary
Abdulaziz Alarifi, Ayed Alwadain
Summary: The study presents an optimized fall detection system based on AlexNet convolution neural network, which collects information through wearable sensor devices for feature extraction and analysis, achieving accurate recognition of fall actions with maximum accuracy and minimum complexity.
Article
Chemistry, Analytical
Takuma Akiduki, Jun Nagasawa, Zhong Zhang, Yuto Omae, Toshiya Arakawa, Hirotaka Takahashi
Summary: This study aims to build a system using body-worn sensors to detect a driver's internal state, specifically the inattentive and drowsiness states that occur during long-term driving on monotonous roads. By combining multiple detection models and utilizing both a heart rate sensor and accelerometers, the system is able to accurately detect the driver's internal state.
Article
Multidisciplinary Sciences
Jose Antonio Santoyo-Ramon, Eduardo Casilari-Perez, Jose Manuel Cano-Garcia
Summary: Wearable Fall Detection Systems using Machine Learning classifiers have shown efficiency in discriminating falls and daily activities, but physical differences between training and testing subjects may impact the effectiveness of the classifiers. The type of activities included in the subgroups have more relevance for the discrimination capability of the classifiers than physical characteristics.
SCIENTIFIC REPORTS
(2021)
Review
Chemistry, Analytical
Gheorghe Melinte, Giulia Selvolini, Cecilia Cristea, Giovanna Marrazza
Summary: Lysozyme plays a vital role in antibacterial activity in the human body but can potentially trigger allergic reactions. Aptasensors are being used to enhance sensor selectivity and achieve fast in-situ quantification.
Article
Chemistry, Analytical
Goran Seketa, Lovro Pavlakovic, Dominik Dzaja, Igor Lackovic, Ratko Magjarevic
Summary: Research has shown that using a configuration of three sequential windows (pre-impact, impact, post-impact) provides the highest detection accuracy on all three datasets. The best results were obtained when either a 0.5s or 1s long impact window was used, combined with pre- and post-impact windows of 3.5s or 3.75s.
Review
Engineering, Electrical & Electronic
Vasileios-Rafail Xefteris, Athina Tsanousa, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris
Summary: The development of IoT technology has improved the identification and prevention of falls among older adults. Multisensor data fusion in healthcare systems has emerged as a trend in recent years, bringing new opportunities for future health monitoring and care.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Primoz Kocuvan, Aleksander Hrastic, Andrea Kareska, Matjaz Gams
Summary: This study compared the performance of smartphone and wristband systems in fall prevention for the elderly. The results showed that the wristband systems had higher accuracy and sensitivity. The use of wearable sensors can help in early detection and mitigation of falls in the elderly.
Article
Chemistry, Analytical
Lipeng Pan, Mingye Zou, Fangxing Ma, Lingqing Kong, Changnan Zhang, Likun Yang, Anna Zhu, Feng Long, Xiang-Yang Liu, Naibo Lin
Summary: A compact evanescent wave detection platform is developed for the detection of fluorescence gold nanoclusters. The platform employs a simple optical system and a Si-based photodetector assembly, improving the optical efficiency and detection sensitivity. It has potential applications for fast detection of dopamine in microsamples.
ANALYTICA CHIMICA ACTA
(2022)
Article
Biology
Ritesh Chandra Tewari, Sandeep Sharma, Aurobinda Routray, Jhareswar Maiti
Summary: This paper presents a cost-effective, robust fall detection system with post-fall health tracking using a 3.18 GHz continuous-wave Doppler radar sensor. The system includes an algorithm with four hierarchical stages to optimize classification accuracy. Experimental results show a fall detection accuracy of 93.24% and a breath rate measurement error of 2.26%.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Review
Optics
Minghui Zhao, Yonghong Qi, Hailong Wang, Zongxiang Xie, Bo Li, Hairong Wang, Xueyong Wei
Summary: This paper reviews the development status of optical interferometric MEMS accelerometers, focusing on the critical problems and solutions in their development and introduces their typical application scenarios.
LASER & PHOTONICS REVIEWS
(2023)
Article
Engineering, Electrical & Electronic
Jia-Wei Zhang, Xuan Meng, Xiaofei Wei, Geng Fu, Chatchai Putson, Belouadah Rabah, Hajjaji Abdelowahed, Fouad Belhora
Summary: Electromagnetic pollution poses a significant challenge, causing unavoidable damage to the environment and human health. This study proposes a passive optical fiber magnetic field sensor with a wide measurement range and anti-electromagnetic interference capability, which shows great potential for applications in electromagnetic pollution monitoring, power equipment assessment, and geological exploration.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Computer Science, Artificial Intelligence
Jeong-Kyun Kim, Kangbok Lee, Sang Gi Hong
Summary: Falls are a significant cause of injuries and death worldwide, and fall detection in wrist-wearable devices has garnered attention. This study proposes an accurate fall detection method using limited data by analyzing three open datasets with artificial intelligence. The model achieved higher accuracy than previous studies and reduced the data amount by fourfold. The proposed model demonstrated the effectiveness of wrist wearable devices in fall detection.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
LiangLiang Liu, Zijuan Tang, Chenyang He, Serhiy Korposh, Shuqin Lou, Stephen P. Morgan
Summary: The optical fibre ammonia gas sensor demonstrated in the study utilizes a functionalized suspended-core fibre and a ratiometric method for signal processing, showing a capability of detecting ammonia at ppb levels with a fast response time and reusability after treatment.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
D. Kelly, J. Condell, J. Gillespie, K. Munoz Esquivel, J. Barton, S. Tedesco, A. Nordstrom, M. Akerlund Larsson, A. Alamaki
Summary: Falls are a costly population health issue, and screening older adults for fall risks can lead to better outcomes and reduced public health spending. This study proposes a new fall screening technique using a hip-based accelerometer worn in free-living conditions. The research shows that accelerometer-based measures perform best in predicting falls.
JOURNAL OF BIOMEDICAL INFORMATICS
(2022)
Article
Chemistry, Analytical
Cristian Mihaita Crecan, Iancu Adrian Morar, Alexandru Florin Lupsan, Calin Cosmin Repciuc, Mirela Alexandra Rus, Cosmin Petru Pestean
Summary: Quantitative technologies can enhance objectivity and clinical skills in diagnosing equine lameness. This study introduces an inertial sensor-based wireless device system that proves useful in identifying and scoring the severity of lameness in horses.
Article
Education, Scientific Disciplines
Christian F. A. Koop, Michael Marschollek, Andreas Schmiedl, Phileas J. Proskynitopoulos, Marianne Behrends
Summary: The study examined the effects of a locally produced audiovisual dissection manual on medical students' performance, knowledge gained, motivation, emotions, learning behavior, and learning efficiency. The results did not show significant positive effects of the audiovisual manual on these parameters, indicating that further implementation of this type of e-learning resource into the curriculum is not supported. This study can guide future evaluation and design of e-learning resources for the gross anatomy dissection course.
ANATOMICAL SCIENCES EDUCATION
(2021)
Review
Infectious Diseases
Dominik Wolff, Sarah Nee, Natalie Sandy Hickey, Michael Marschollek
Summary: A systematic literature review on the risk factors of severe and fatal Covid-19 courses shows that conditions and comorbidities related to poor health status, high age, obesity, diabetes, and hypertension are risk factors for severe and fatal disease courses. Additionally, organ damage and coagulation dysfunctions are associated with severe and fatal courses of the disease.
Article
Medical Informatics
Antje Wulff, Sara Montag, Nicole Ruebsamen, Friederike Dziuba, Michael Marschollek, Philipp Beerbaum, Andre Karch, Thomas Jack
Summary: The study evaluated a knowledge-based, interoperable clinical decision-support system (CDSS) for detecting SIRS in a pediatric intensive care unit (PICU). The CDSS showed higher sensitivity and specificity compared to physicians' recognition of SIRS in clinical routine, demonstrating the potential of using CDSS in clinical practice. Evaluation revealed valuable insights for the design and rule modifications of the CDSS, with plans for further optimization and multi-center evaluation in the future.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2021)
Article
Medical Informatics
Erik Tute, Irina Scheffner, Michael Marschollek
Summary: This study introduces an interoperable data quality assessment method for healthcare, formalizing measurement methods based on standardized data definitions to support collaborative governance of DQ-assessment knowledge. By utilizing open source tools and clinical information models, the method showed satisfactory practicability and produced useful results for DQ-assessment.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2021)
Article
Computer Science, Software Engineering
T. Baumgartl, M. Petzold, M. Wunderlich, M. Hohn, D. Archambault, M. Lieser, A. Dalpke, S. Scheithauer, M. Marschollek, V. M. Eichel, N. T. Mutters, T. Von Landesberger
Summary: The study introduces a novel visual analytics approach to support the analysis of transmission pathways during hospital pathogen outbreaks, demonstrating significant benefits in terms of efficiency, extended analysis intervals, and broader coverage of hospital wards. Feedback from twenty-five experts from seven German hospitals confirms that the solution brings substantial advantages in analyzing outbreaks.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Multidisciplinary Sciences
Antje Wulff, Claas Baier, Sarah Ballout, Erik Tute, Kim Katrin Sommer, Martin Kaase, Anneka Sargeant, Cora Drenkhahn, Dirk Schlueter, Michael Marschollek, Simone Scheithauer
Summary: The study introduced a multi-centric standardization approach using openEHR as the modeling standard, successfully developing standardized and interoperable microbiology data models. By transforming microbiology data into standardized representations and developing a prototype application for quality checks, cross-institutional data integration and outbreak detection system development are feasible.
SCIENTIFIC REPORTS
(2021)
Article
Geriatrics & Gerontology
G. Stiller, R. Stegemann, K. Afshar, M. Marschollek, M. Behrends
Summary: This study successfully conveyed the complexity of care for older people and presented the special role of family physicians in geriatric care through an educational film. The majority of students were emotionally touched by the film and found the presentation mode of the GBA to be authentic.
ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE
(2022)
Article
Biology
Kim K. Sommer, Ali Amr, Udo Bavendiek, Felix Beierle, Peter Brunecker, Henning Dathe, Juergen Eils, Maximilian Ertl, Georg Fette, Matthias Gietzelt, Bettina Heidecker, Kristian Hellenkamp, Peter Heuschmann, Jennifer D. E. Hoos, Tibor Kesztyues, Fabian Kerwagen, Aljoscha Kindermann, Dagmar Krefting, Ulf Landmesser, Michael Marschollek, Benjamin Meder, Angela Merzweiler, Fabian Prasser, Ruediger Pryss, Jendrik Richter, Philipp Schneider, Stefan Stoerk, Christoph Dieterich
Summary: Predicting the risk of heart failure in patients is crucial for tailoring preventive, diagnostic, and therapeutic strategies to suit individual patients and effectively utilize healthcare resources. However, existing risk scores are rarely implemented in routine care due to the difficulty of their calculation and the unavailability of necessary data in an interoperable format. In this study, we demonstrate the feasibility of using clinical routine data from multiple medical centers to calculate heart failure risk scores, offering a potential solution that can be applied in various clinical care settings.
Article
Computer Science, Information Systems
Jen Bichel-Findlay, Sabine Koch, John Mantas, Shabbir S. Abdul, Najeeb Al-Shorbaji, Elske Ammenwerth, Analia Baum, Elizabeth M. Borycki, George Demiris, Arie Hasman, William Hersh, Evelyn Hovenga, Ursula H. Huebner, Elaine S. Huesing, Andre Kushniruk, Kye Hwa Lee, Christoph U. Lehmann, Svein-Ivar Lillehaug, Heimar F. Marin, Michael Marschollek, Fernando Martin-Sanchez, Mark Merolli, Aurore Nishimwe, Kaija Saranto, Danielle Sent, Aviv Shachak, Jai Ganesh Udayasankaran, Martin C. Were, Graham Wright
Summary: The International Medical Informatics Association (IMIA) has published recommendations for biomedical and health informatics (BMHI) education to support educators, identify essential skills, provide an evaluation tool, and encourage the establishment and development of BMHI educational programs. IMIA's taskforce updated the recommendations, which cover various domains, programs, and levels of education in BMHI. Accreditation and information exchange on BMHI programs and courses are also provided.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Multidisciplinary Sciences
J. Wolff, A. Klimke, M. Marschollek, T. Kacprowski
Summary: The COVID-19 pandemic has affected admissions to psychiatric hospitals. Machine learning and time series models showed good forecasting performance. The models performed similarly before the pandemic, but weekly time series models adjusted better to the COVID-19 shock effects.
SCIENTIFIC REPORTS
(2022)
Article
Medical Informatics
Louisa Bode, Sven Schamer, Julia Boehnke, Oliver Johannes Bott, Michael Marschollek, Thomas Jack, Antje Wulff
Summary: The study aims to enhance an existing interoperable, rule-based clinical decision support system (CDSS) prototype by detecting SIRS/sepsis-associated hematologic organ dysfunction (OD) in critically ill children and evaluating its diagnostic accuracy. The CDSS model was developed using the commonKADS methodology and openEHR as the clinical information standard. The diagnostic accuracy of the CDSS was estimated using data from a prospective diagnostic study, with clinicians' diagnoses as the reference. The CDSS successfully detected hematologic OD with high sensitivity and specificity.
APPLIED CLINICAL INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Matthias Ganzinger, Max Blumenstock, Axel Fuerstberger, Leonard Greulich, Hans A. Kestler, Michael Marschollek, Christian Niklas, Tim Schneider, Cord Spreckelsen, Erik Tute, Julian Varghese, Martin Dugas
Summary: Structured documentation of findings is important in clinical research and patient care. Integration of electronic case report forms (eCRF) with electronic health records (EHR) is challenging when researchers from different institutions collaborate. To address this issue, a novel architecture for a federated electronic data capture system (fEDC) was proposed.
JOURNAL OF BIOMEDICAL INFORMATICS
(2023)
Proceedings Paper
Computer Science, Information Systems
Michael Marschollek, Thorsten Walles, Hans-Christoph Pape, Torsten Doenst
Summary: This paper reports on an international exchange and education program that has funded over 700 students, highlighting the importance of a strong student-mentor relationship for scientific success. It also discusses potential success factors and the history and concept of the program.
DIGITAL PROFESSIONALISM IN HEALTH AND CARE: DEVELOPING THE WORKFORCE, BUILDING THE FUTURE, VOL. 298
(2022)
Proceedings Paper
Computer Science, Information Systems
Michael Marschollek, Melina Celik, Marianne Behrends, Thomas Friedrich Schulz
Summary: This paper presents a new Master's program for biomedical data science that meets the growing demand for experts in biomedical data analysis. The program is well-received by students, who appreciate the benefits of interdisciplinary teamwork and flexible learning opportunities. However, adjustments are needed to improve tutoring support and alignment of content among different modules.
DIGITAL PROFESSIONALISM IN HEALTH AND CARE: DEVELOPING THE WORKFORCE, BUILDING THE FUTURE, VOL. 298
(2022)
