Trade fair / April 09, 2024 - April 11, 2024
DMEA 2024
Next Level of Digital Health
We cordially invite you to visit us at the joint Fraunhofer stand:
Hall 2.2, booth D-108
Next Level of Digital Health
We cordially invite you to visit us at the joint Fraunhofer stand:
Hall 2.2, booth D-108
Presentation at the DMEA Solutions Hub
Improved patient care as well as faster diagnoses and savings in care costs: The presentation uses specific examples drawn from actual application to illustrate telemedicine solutions developed by the Fraunhofer Institute for Computer Graphics Research IGD for the support of healthcare professionals and patients in disease prevention, diagnostics and therapy at home. The AI-based Guardio® software package converts heart movements into an ECG while the patient’s own smartphone is placed in proximity to his or her chest. STRAP makes contactless recordings of posture and vital data to help ensure a healthy home workplace. The MedXam application allows users to reliably check the dosage of their medication at home, while the VeinXam sensor detects venous insufficiency in the deep veins of the legs at an early stage, thereby helping to prevent the onset of serious illness.
Berlin, Germany
April 09, 2024 - April 11, 2024
In veinXam, the Fraunhofer Institute for Computer Graphics Research is developing a system aimed at reducing the risk of thrombotic disease through the continuous monitoring of venous function in the deep veins of the legs. veinXam is integrated into a compression stocking and uses non-invasive sensor technology to continuously monitor venous blood flow. In the event that abnormal changes are detected, an alarm notification is relayed to the hospital ward staff or, if used at home, to the patient’s smartphone. This allows early intervention to be initiated, avoiding the onset of serious illness and subsequent cost-intensive treatment. In addition to vein function, the veinXam sensors can be used to measure other biological signals such as a patient’s pulse rate, blood oxygen saturation and breathing. This data can be transmitted wirelessly to a variety of external systems for further processing, thereby offering a user-friendly option for comprehensive vital parameter monitoring, particularly in a hospital setting.
The interactive web application developed by the Institute allows patients with Parkinson’s disease to better understand the symptoms and track the course of the disease. An additional objective is to forecast and display future development of individual disease symptoms. For clinicians, the tool facilitates individual risk assessment based on specific characteristics revealed by patient data. For Parkinson’s patients, the tool offers the opportunity to take on responsibility for managing their own condition with greater confidence. They can also make better informed decisions about their treatment and any necessary lifestyle adjustments.
Fundamental to accurate personalized treatment is the analysis of patient data through the formation and analysis of cohorts. Fraunhofer IGD is developing tools for visual-interactive data analysis in close cooperation with clinical partners. We show results from research projects in nephrology and in the field of chronic inflammatory bowel diseases. The flexible combination of visual and analytical methods also supports medical research with the provision of omics data conducted by our partners in immune-mediated diseases.
Continuous, unobtrusive monitoring of vital data such as pulse rate, breathing, heart rate variability, posture, blink rate and even stress detection is necessary for the support of employee health in the workplace. The Institute is working in collaboration with industry partner Deep Care GmbH on the STRAP project, which is aimed at transforming wireless, contactless technologies into a product that can be used to promote healthy working practices in everyday office life.
Guardio® is an innovative technology for recording multichannel ECGs. Our app records heart-induced movement signals and transforms them into corresponding electrocardiograms with the help of artificial intelligence, all without the need to attach electrodes to the patient’s skin. No medical expertise is required, and the rapid and high availability of the system reduces the time to diagnosis.