Cardiology services

Univerzita Komenskeho V Bratislave (UK BA)

The laboratory performs research and scientific activities in the research of autonomic nervous system regulation. It uses Finometer (FMS) and Nexfin (Edwards Lifesciences) devices, which are used for non-invasive beat-to-beat blood pressure monitoring using volume-clamp method, and MedGem (Microlife) for determination of basal metabolism. It uses ECG Cardiofax 9620M (Nihon Cohden) for monitoring the electrical activity of the heart, RespiTrace (NIMS) for non-invasive respiratory monitoring by impedance method using chest and abdominal belts, CardioScreen 2000 (Medis) for non-invasive monitoring of various parameters associated with pumping function of the heart (systolic volume, systolic time intervals, etc.). It uses VaSera VS-1500N (Fukuda Denshi) characterization of arterial stiffness, EndoPAT 2000 (Itamar Medical) - characterization of endothelial dysfunction, InBody J10 (Biospace) - analysis of body composition, ECG (BTL; Pola V8) - non-invasive continuous bio signals monitoring, Finometer (Finapres medical systems), blood pressure, Flex Comp Infinity, Thought Technology for measuring the electrodermal activity, respiration, peripheral temperature, Neuroptics PLR200, pupilometry, Eyetracking (Pupil Labs) for eye movements, InBody 120 - body composition analysis.

Karolinska Institutet (KI)

## Overview This service supports the development and validation of biomedical signal processing pipelines for healthcare applications. SMAILE at Karolinska Institutet provides guidance for processing a range of biosignals, including ECG, EEG, EMG, respiration, accelerometers, gyroscope, and electrical bioimpedance. The focus is on signal filtering, feature extraction, event detection, and pipeline validation, aligned with clinical research standards. ### We provide expertise in: • Biomedical signal filtering and preprocessing • Feature extraction and clinical event annotation • Signal Analysis and Modeling • Quality assurance and reproducibility ### How can the service help you? Many early-stage companies and research projects lack robust, validated signal pipelines. This service enables reproducible analysis, clinical readiness, and regulatory alignment for biosignal-driven products and studies. ### How will the service be delivered? Can be delivered virtually or in conjunction with lab access. Clients share sample datasets, objectives, and processing goals. Duration: 2–6 weeks based on complexity. ## Additional Information ### Provider Description SMAILE provides advanced support in biomedical signal analytics, with experience in wearable health monitoring, digital phenotyping, and clinical-grade biosignal systems. ### Technical Description Pipelines are constructed and validated using Python (SciPy, MNE, NeuroKit), MATLAB, or other signal tools. ### Service Customization Clients may request focused support for real-time processing, offline batch analysis, or integration with AI modules. Output formats, sampling rates, and noise tolerance are adjustable.

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Who Can Benefit:** - Clinical Researchers and Investigators: For gaining insights into the feasibility of proposed studies and enhancing study designs with practical clinical input. - Healthcare Institutions: To expand research capabilities by connecting with technical and clinical experts and facilities. - Research and Development Teams: For testing new technologies or methodologies in applicable clinical contexts, ensuring innovative solutions are viable and effective. **Key Features:** - Technical Feasibility Assessment: Organizes and conducts comprehensive technical feasibility studies to evaluate the practicality and potential of clinical research projects. - Connection to Clinical Personnel: Facilitates collaboration between researchers and clinical experts at University Clinic Erlangen, ensuring access to expertise and resources necessary for study success. - Access to Real-Life and Laboratory Test Environments: Provides opportunities to conduct studies within associated clinics, leveraging previous experience in cardiology, neurology, and biomechanics to ensure practical and applicable results. **Possible Applications:** - Project Feasibility Evaluation: Assists in determining the feasibility of clinical research projects, helping to identify potential challenges and solutions early in the development phase. - Research Collaboration: Enhances research outcomes through the integration of clinical expertise and real-world testing environments, ensuring studies are rooted in clinical reality. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).

Politecnico Di Milano (POLIMI)

Generation of synthetic virtual cohorts leveraging statistical and data-driven methods and featuring realistic anatomies, flow fields, and boundary conditions. These virtual populations can serve multiple purposes, from in silico trials for testing new devices and procedures, to training large deep learning models for disease-specific tasks and discoveries. Method Description: The service provides synthetic datasets for AI algorithm development, AI algorithm testing and digital twin based simulations (fluidynamic/structural simulations, fluid structure interaction) Method reference: https://doi.org/10.1016/j.cmpb.2023.107468

Centre Hospitalier Universitaire De Rennes (CHU RENNES)

Corelab: Echocardiography expertise & proofreading, ECG, cardiology

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Who Can Benefit:** - MedTech & AI Companies: For obtaining high-quality, ethically sourced clinical datasets to fuel algorithm development without navigating hospital bureaucracy. - Clinical Researchers: For systematic, regulation-compliant data collection with full documentation and audit trail. **Key Features:** - End-to-end management of ethical approval processes (ethics committee submission, informed consent design) - Prospective data collection within Universitätsklinikum Erlangen clinical departments - Expert clinical annotation and ground truth labeling by domain specialists - Full GDPR compliance with pseudonymization/anonymization pipelines - Structured data output compatible with downstream AI training and analysis workflows **Possible Applications:** - Wearable Sensor Studies (e.g. Cardiology): Prospective collection of continuous ECG, PPG, or blood pressure data from cardiac patients for digital biomarker development and remote monitoring algorithm training. - Motion & Gait Analysis (Biomechanics): Systematic acquisition of IMU, force plate, and motion capture data in clinical and sports lab settings for movement disorder assessment, rehabilitation tracking, or athletic performance evaluation. - Neurological Signal Acquisition: Collection of EEG, EMG, or tremor sensor data from neurological patient cohorts to support AI-based diagnostic or therapy monitoring tools. - Real-World Evidence Datasets: Longitudinal data collection from ambulatory patients in everyday settings, enabling the development of algorithms that generalize beyond controlled lab environments. - Athletic Performance & Injury Prevention: Structured data gathering during sports science testing protocols to build datasets for injury risk prediction, load monitoring, and return-to-play decision support. - Multi-Modal Clinical Datasets: Combined collection of sensor data, imaging, lab values, and patient-reported outcomes to enable holistic, multi-modal AI model development. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Services: - Synchronized measurement and recording of radar and reference signals in the body

Centre Hospitalier Universitaire De Rennes (CHU RENNES)

Stress test platform; sport, cardiovascular

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Service Keywords:** Expertise in Electrophysiological Signals, Cardiovascular Diseases, Multimodal Data Acquisition (ECG, EMG, EEG, EOG, EDA), Project Design, Clinical Study Design, Scientific-Technical Consulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting **Equipment:** - Biosign HRV-Scanner Model II: Mobile blood pressure monitor for evaluating heart rate variability. - SomnoMedics Sleep Monitor: Measures EEG, ECG, BP, oximetry, IMU, and EMG for comprehensive sleep assessments. - Biopac System: Monitors ECG, respiration, oximetry, EEG, EMG, and skin temperature for detailed physiological recordings. - Wireless Biopac System: Offers the same capabilities in a mobile format for versatile monitoring. - Vinno G55: Provides advanced ultrasonic imaging for cardiac and vascular assessments. - Maphera: A multimodal, portable, wireless biomedical acquisition system for a variety of physiological data. - Custo Guard Holter with Custo Wing: Long-term ECG monitoring for in-depth cardiac analysis. **Who Can Benefit:** - Cardiologists: For conducting advanced diagnostic assessments and managing patient care through detailed cardiac and electrophysiological data. - Biomedical Researchers: To explore cardiovascular physiology and develop innovative treatments or technologies. - Healthcare Engineers: For designing and testing medical devices that integrate with cardiovascular monitoring technologies. - Clinicians and Healthcare Institutions: To enhance clinical services and research capabilities with comprehensive cardiac assessment tools. **Key Features:** - Comprehensive Cardiac Monitoring: Equipped with advanced systems to evaluate a wide range of cardiovascular and electrophysiological parameters, ensuring precise and detailed analysis. - State-of-the-Art Technology: Utilizes cutting-edge equipment for both mobile and in-lab assessments, supporting diverse clinical and research applications. - Expert Support: Offers extensive scientific and technical consulting, with expertise in electrophysiological signals, to guide project design and enhance study outcomes through high-quality data recording and analysis. **Possible Applications:** - Clinical Trials: Facilitates rigorous evaluation of new cardiac therapies and devices, providing essential data for regulatory submission and clinical validation. - Patient Monitoring: Enables continuous monitoring of cardiac health, improving early detection and intervention for arrhythmias and other cardiovascular conditions. - Research and Development: Supports the development of novel diagnostic and therapeutic solutions by providing a robust platform for electrophysiological data acquisition. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).