Ing. Daniel Barvík, Ph.D.
Lab Administrator
Health Lab is an interdisciplinary research laboratory focused on advanced technologies for healthcare and biomedical engineering. The lab combines expertise in biosignal processing, medical imaging, sensor development, and artificial intelligence, including machine learning and deep learning methods.
Our research spans the full technological pipeline — from the design of sensing systems and embedded electronics to data acquisition, signal processing, and AI-driven interpretation. We develop innovative solutions for non-invasive monitoring, clinical decision support, and intelligent diagnostic systems.
Health Lab emphasizes strong collaboration between engineering, medicine, and data science, with access to real clinical data and experimental validation. Our outcomes are designed for real-world deployment in healthcare, industry, and applied research, with a focus on reliability, scalability, and translational impact.
Health Lab provides access to a unique combination of laboratory technologies and real-world testing environments.
Development of machine learning and deep learning models for data analysis, prediction, and anomaly detection. Applications include medical diagnostics, patient monitoring, and industrial quality control using image and signal data.
Processing and interpretation of physiological signals (ECG, VCG, EGG, and others), including noise suppression, feature extraction, and real-time evaluation. Suitable for medical applications, research studies, and product development.
Development and testing of non-contact sensing solutions using radar and ambient technologies. Applications include vital sign monitoring, activity tracking, fall detection, and behavioral analysis without wearable devices.
Design and development of tailor-made sensing systems, wearable devices, and smart medical technologies. We cover electronics, embedded systems, signal acquisition, and integration into functional prototypes ready for testing or pilot deployment.
Markerless motion capture and analysis using advanced vision systems. Suitable for rehabilitation, biomechanics, ergonomics, and human–machine interaction studies.
Rapid prototyping (including 3D printing), experimental validation, and performance testing of devices and algorithms in both laboratory and real-world conditions.
Design and testing of smart home and assisted living technologies for long-term monitoring. Includes integration of sensors, automation systems, and healthcare devices in realistic living environments.
A fully equipped apartment designed for healthcare research and testing
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Development and optimization of a continuous glucose monitoring system based on microdialysis, with AI for multi-omics analysis.
Prototype development and commercialization of a custom smart ankle-foot orthosis integrating advanced sensing and intelligent control.
Multidisciplinary research center focused on the interaction between human health and environmental factors.
Non-invasive system for real-time monitoring of patients treated for gastrointestinal disorders, based on gastric electrical activity.
Lab Administrator
Lab Leader