Neurology 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.

Universita Degli Studi Di Pavia (UNIPV)

This service offers the construction and simulation of brain digital twins for neurological and neuropharmacological applications. The simulations are typically applicable to single subject data for developing personalized medicine and pharma. Method description: Raw structural and functional data is preprocessed and analyzed to create brain connectivity data. The computational framework is tuned against experimental data to simulate brain dynamics and optimize physiological parameters, e.g., excitatory and inhibitory activity. In order to obtain personalized digital brain twin single-subject data must be used. Method reference: Local method respecting General Data Protection Regulation (GDPR)

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).

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Services: - Full body motion analysis on a treadmill - Gait analysis with real-time feedback in virtual reality environments

Centre Hospitalier Universitaire De Rennes (CHU RENNES)

Human Imaging platform, imaging, multimodal; MRI 3T Magnetom Prisma Siemens, MRI Factice PST, fNIRS, EEG Brainproducts, compatible with MRI, fNIRS (near-infrared spectroscopy) NIRx, compatible with MRI, Dual/quacores blades for computing cluster (480 cores), Hybrid imaging systems (EEG/MRI, NIRS/MRI) for methods development, MRI acquisition methods development, neurofeedback protocols development, data treatment & analysis methods development; Keywords: platform, imaging, MRI 3T, fNIRS, EEG, multimodal, hybrid, neuroinformatics, neuroimaging, brain

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Neuro Imaging platform includes: -MEG/EEG (Elekta Neuromag) : 204 gradiometers, 102 magnetometers, 128 EEG channels. - MRI/MEG-compatible EEG amplifier (Brain Products) : 64 channels. - MRI 1.5T (Siemens Espree) - Audio, visual and sensitive stimulation equipment - Dedicated HPC workstation for real-time signal processing The service offers to conduct a clinical study with MEG/EEG/MRI Imaging to generate new brain-related data: - Data acquisition & analysis +/- technical expertise. - Clinical and regulatory support to set up and submit the clinical study within French regulatory framework. - Example: provide new clinical data to assess/validate the performance/robustness of an AI system in a specific intended use Keywords: Neuro Imaging; MRI; MEG; imaging data acquisition

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Neuro Imaging platform includes: -MEG/EEG (Elekta Neuromag) : 204 gradiometers, 102 magnetometers, 128 EEG channels. - MRI/MEG-compatible EEG amplifier (Brain Products) : 64 channels. - MRI 1.5T (Siemens Espree) - Audio, visual and sensitive stimulation equipment - Dedicated HPC workstation for real-time signal processing The service offers to conduct a clinical study with MEG/EEG/MRI Imaging to generate new brain-related data: - Data acquisition & analysis +/- technical expertise. - Clinical and regulatory support to set up and submit the clinical study within French regulatory framework. - Example: provide new clinical data to assess/validate the performance/robustness of an AI system in a specific intended use Keywords: Neuro Imaging; MRI; MEG; imaging data acquisition

Universita Degli Studi Di Pavia (UNIPV)

This service offers the construction and simulation of neurons and micro-circuits for neurological and neuropharmacological applications. The models can be combined to develop and simulate brain digital twins of neuropathologies. Method description: Customization of micro-circuits tailored to specific pathological and/or pharmacological needs. These circuits will be refined and optimized for simulations, with the resulting data integrated into a clinical framework and/or used to model pathological behaviors in a virtual brain twin. Method reference: Local method respecting General Data Protection Regulation (GDPR).

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Service Keywords:** Expertise in Human Movement, Neurological Diseases, Project Design, Clinical Study Design, Scietific-Technical Constulting, Data Evaluation, Data Acquisition, Technical Support, Performance Evaluation/Reporting, **Equipment:** - 10x Vero Cameras (infrared) - 2x VUe Cameras (visible) - 2x AMTI Optima Pressure Plates - Cometa Wave Plus (EMG): 12x MiniWasve EMG Sensors, PICO EMG Sensors - 2x Blue Trident IMU (low and high g Accelerometer, Gyroscope, Magnetometer) **Who Can Benefit:** - Data Scientists and AI Researchers: To obtain high-quality datasets for training and validating AI models that can identify and predict gait abnormalities and differentiate between various movement disorders. For designing, implementing, and testing algorithms that automate the analysis of gait patterns, thereby improving efficiency and accuracy. - Healthcare Technology Innovators: To integrate AI-driven insights into wearable devices or diagnostic tools that enhance patient monitoring and care delivery. - Clinical Researchers: To explore AI applications in clinical trials, enhancing understanding of treatment impacts on gait and mobility in various disorders. - Software Developers: For creating user-friendly AI software interfaces that clinicians can use to easily interpret results and apply AI insights to patient care. - Rehabilitation Professionals: To utilize AI-enhanced feedback for developing adaptive rehabilitation protocols that respond to instrumented changes in gait patterns. - Biomedical Engineers: For advancing AI-driven biomechanical analysis tools that can be used in designing prosthetics, orthotics, and assistive devices. **Key Features:** - User-Friendly Interface: Intuitive software interface for both technical and non-technical users, ensuring ease of use for engineers, clinicians, and other healthcare personnel. - Comprehensive Reporting: Provides detailed reports and visualizations of gait characteristics, such as stride length, speed, and variability, to quantify gait patterns and draw clinically relevant conclusions. - Experienced Personnel: Gain access to a team of specialists with extensive experience in analyzing gait and movement patternsassociated with neurological conditions. Our experts possess in-depth knowledge and skills to provide accurate assessments and valuable insights, supporting the development of your application in the field of neurological disorders. - Directly Attached to Clinic: Patients and physicians can easily access the state of the art facility for gait and movement analysis. **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).

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Conduct an interventional clinical study within clinical research facility CEA-Clinatec : Operating room and hospitalisation room, with access to Grenoble-Alpes University Hospital's network of clinicians. Clinical and regulatory support to set up and submit the clinical study within French regulatory framework. Operating room equipped with: - Neuro navigation robotic system ROSA - Intraoperative 1,5T MRI (Espree, Siemens): positioned on a rail to go into the operating room during surgery - Mobile X-ray unit (general Electric) - Stereotaxis interventional radiography chain (Apelem) Keywords: operating room; clinical study; surgery; neurology; medical device validation

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility, neuronal brain activity using magnetoencephalography (NatMEG). NatMEG is Sweden's first and only research laboratory for whole-head measurements of neuronal brain activity using MEG. The state-of-the-art On-scalp MEG promises improved sensitivity and spatial precision compared to traditional cryogenic MEG. The system uses 128 novel optically pumped magnetometer (OPM) sensors and will be the first of its kind in the world. It includes 32 digital trigger channels, 8 bipolar analogue input and 8 bipolar output channels that are recorded along with the MEG data with integrated 128-channel EEG for simultaneous measurement. Due to the flexibility of OPMs, the sensors can also be used to record other electrophysiological signals, such as magnetocardiography (MCG), magnetomyography (MMG) and magnetoretinography (MRG). All MEG recordings are done inside a Vacuumschmelze GmbH Ak3B magnetically shielded room (MSR) with 2 high-permeability layers. The inside dimensions of the MSR are approximately 3m x 4m x 2.5m. In this service, we offer full support in project consultation, ethical permits and module technical support. For more information, visit the website: https://www.natmeg.se/

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).

Karolinska Institutet (KI)

The Swedish node is a collaboration between Karolinska Institutet, SciLifeLab and RISE. Together, we offer world-leading services with our unique collection of core facilities. We can grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science. Prospective data set collection: A full-service collection of new data sets. This service serves to create data sets on-demand according to the needs and requirements of the SME for TEF-project purposes, such as validation. Data sets will primarily comprise in vivo imaging data (PET, CT, MRI, MEG, EEG), ex vivo imaging, and OMICS data within neuro and cancer. Data can be generated by CIR and SciLifeLab infrastructures within our “Physical Testing” services or assembled from publicly available databases and research collaborations. We provide expertise and technical support in the following areas: o Project design& management o Ethical application support o Data collection o Data assembly o Data cleaning, annotation, anonymisation This service can typically directly collaborate with “physical testing services” and technology infrastructures to generate raw data material.

Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU)

Services: - Full-scale sleep analysis and sleep staging using polysomnography - Assessment of sleep disorders and disturbances, like sleep apnoea, snoring, restless-leg/arm syndrome, etc. - Analysis of facial expressions during sleep - Contactless measurement of heart rate and respiration

Univerzitna Nemocnica Martin (University Hospital Martin)

Provisioning of clinical data from diagnostic procedure of sleep disorders within sleep laboratory and consultancy related to data processing and development of AI diagnostic asistance tools Method Description: Sleep disorder diagnostics require to record various types of data during the whole diagnostic procedure. Video, audio, ECG, EEG and other diagnostic data are being recorded during the sleep phase of a patient in the sleep laboratory. Following evaluation procedure is time consuming for a medical professional. AI based data processing and decision support system would greatly help to speed up the diagnostic procedure. UHM will provide data sets for development and testing of AI based applications which would help medical professionals within the sleep labs. Results will be evaluated by medical professionals. Method reference: