Smart Health & Fitness
The digitalization of healthcare is in full swing. This encompasses the increased use of wearables for health and fitness monitoring, as well as health apps. Artificial intelligence and predictive analytics are being employed to assist physicians with diagnoses and to make patient care more efficient and reliable.
OmegaLambdaTec successfully employs state-of-the-art data science and AI methods—such as signal extraction, forecasting, and anomaly detection—across various projects in the health and fitness sectors.
OUR SERVICES AT A GLANCE
- Development of automated real-time analysis algorithms for health monitoring
- Data-driven forecasting and anomaly detection for the identification of health-critical conditions
- Extraction of weak signals from noisy data
- Scenario analysis and scenario model optimization
- Scientific data analysis for medical applications
- Simulation of the effects of protein misfolding
- AI-assisted drug development
REAL-WORLD USE CASES WE’VE SUCCESSFULLY DELIVERED
Real-time sweat analysis for sports and health
Key Challenges and Goals
The Eurostars research project XPATCH aimed to develop a wearable device for real-time sweat analysis. This innovative, flexible, and sensitive patch is designed to continuously measure sweat composition, enabling inferences to be drawn regarding the fitness of athletes or the health status of individuals with medical conditions.
Press-Release
Figure: Prototype of the XPATCH app for real-time tracking of athlete biomarkers (left) and dehydration monitoring (right).
OLT-Solution
- Development of analysis algorithms used to evaluate the data flow and to detect and report potentially critical conditions—such as dehydration—at an early stage.
- Development of the data processing backend that collects and processes the data and makes it available to the user in an app.
Benefit
- XPATCH can help athletes better understand their fitness level, train more effectively, and prevent dehydration.
- Continuous analysis of prognostic biomarkers to draw conclusions regarding an individual’s well-being and instances of overload.
COVID-19 Data Analysis and Scenario Simulations
Key Challenges and Goals
In early 2020, the coronavirus crisis put society and decision-makers to the test. Ideally, decisions and regulations are derived based on data and facts. However, taking into account the health, economic, and societal impacts posed a significant challenge—particularly at the start of the pandemic—due to the novel and unknown nature of the virus. Scenario simulations can help compare, evaluate, and optimize potential courses of action.
Figure: OLT scenario simulations from May 2020 predicting the second wave of coronavirus infections.
OLT-Solution
- Scenario simulations involving the simultaneous optimization of economic and non-economic factors to evaluate potential policy strategies against the coronavirus.
- Modeling of health impacts using an epidemiological model and of economic consequences for various potential measures
- Scenario model optimization to identify the best strategy of measures against COVID-19
Benefit
- Experimental framework for rapidly comparing and evaluating quantitatively distinct scenarios and, for example, policy options.
Data analysis of new sensor technologies for health monitoring
Key Challenges and Goals
For many medical conditions, it is essential for patients to continuously monitor specific physiological parameters. This often involves invasive methods that can be uncomfortable for the patient. New sensor technologies enable more comfortable, non-invasive health monitoring, yet they also entail greater complexity regarding data extraction and analysis.
Figure: Visualization of measurement signals for various blood glucose concentrations.
OLT-Solution
- Sensor data analysis and modeling
- Characterization and modeling of all relevant instrumental effects
- Precise extraction of weak, noisy signals using modern data science methods
Benefit
- Reliable, fully automated data analysis to support the development of an innovative sensor product
