Stichting IMEC Nederland

Systems that provide therapeutic stimulation or field therapy through wearable devices, often incorporating physiological sensing and closed-loop feedback for personalized and adaptive treatment.

Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.

Therapeutic application of electrical signals to nerves or tissues to modulate their activity, often using implantable devices, electrodes, and sophisticated programming for various conditions.

Systems and methods for electronically steering or shaping antenna beams by controlling the phase and amplitude of signals fed to individual elements in an array, including calibration techniques and multi-antenna configurations.

Methods and systems for accurately determining the absolute or relative position of an object or device, often integrating satellite navigation (GNSS), inertial measurement units (IMU), and local ranging or wireless communication technologies.

Techniques and apparatus utilizing various spectroscopy methods (e.g., Raman, NIRS, photometric, interferometric) for identifying substances, measuring concentrations, or monitoring chemical and physical processes in industrial, environmental, or laboratory settings.

Innovations in the physical components and architectures of radar, lidar, and sonar systems, including antenna design, RF signal generation, beam steering mechanisms, and optical elements for improved performance.

Techniques and hardware architectures for optimizing the radio frequency (RF) front-end, antenna systems, and beamforming strategies in wireless networks to improve signal quality, capacity, and interference mitigation.

Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.

Systems and methods for transferring electrical energy without physical contact, often utilizing inductive or resonant coupling, including antenna design, resonance tracking, and control mechanisms for efficient power delivery.

Focuses on the architectural and circuit-level innovations for Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs) to improve speed, accuracy, linearity, and power efficiency. Includes specific types like SAR and Delta-Sigma, and their constituent components.

Design and application of devices that are inserted into the body or implanted to treat diseases, modulate physiological functions, or repair anatomical structures.

Hollow-fiber and flat-sheet membranes for blood purification, hemodialysis, hemofiltration, and related extracorporeal therapies.

Techniques and circuits designed to identify, compensate for, or correct non-linearities, offsets, and other imperfections in signal processing paths, particularly within analog-to-digital, digital-to-analog, or digital-to-time converters.

Methods and architectures for processing digital signals to enhance quality, remove noise, manage group delay, and facilitate symbol decision, often involving digital filters and equalization techniques.

Development of encoding and decoding algorithms and apparatuses for robust data transmission and storage, focusing on techniques like LDPC, polar codes, and iterative decoding methods to minimize bit errors and improve communication reliability.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.

Mobile applications and systems leveraging wireless communication and location data (e.g., GPS, RFID, geo-fencing) to provide context-specific services, transactions, or user interactions.

Techniques and structures used to reduce unwanted electromagnetic coupling, scattering, or interference between multiple antennas, different frequency bands, or sensitive electronic components within a device.

Design and manufacturing techniques for incorporating antenna structures directly into electronic devices, product housings, or materials, often under constraints of space, aesthetics, or environmental factors.

Innovations in the physical design, materials, fabrication, or packaging of photodetectors and optical sensor elements, including thermoelectric, NIR-compliant, and self-mixing interference types, to improve performance or integration.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Methods and circuits to detect and compensate for various imperfections in amplifier operation, such as DC offset, gain errors, phase errors, duty-cycle errors, or input error components, to improve accuracy and signal integrity.

Circuit designs and control techniques focused on maximizing the power conversion efficiency of amplifiers, especially for radio frequency (RF) or audio applications, often involving load modulation, envelope tracking, or specific amplifier classes (e.g., Class-D, Doherty).

Circuitry and techniques specifically designed to amplify weak signals while minimizing the introduction of additional noise and maintaining high linearity, often incorporating impedance matching, parasitic neutralization, or protection circuits.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Delivery systems specifically engineered to administer advanced drug formulations (e.g., microparticles, biologics, extended-release systems) to achieve precise targeting, controlled release kinetics, or enhanced therapeutic efficacy within the body.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.