HIGHLIGHTS

system architecture definition and model-based design
C, C++, C#, Python
Software development in accordance with IEC 62304, 81001-5-1, GAMP5
HIS connection using HL7, DICOM
microcontroller, industrial/embedded PC, FPGA, DSP

expertise in the most advanced embedded systems.

We specialize in advanced embedded systems utilizing platforms such as microcontrollers, industrial PCs, FPGAs, and DSPs. Our team selects the most suitable platform based on project requirements to optimize computational speed and energy efficiency. We are proficient in programming languages including C, C++, C#, and Python. And in close cooperation with our control engineers, we can embed algorithms from tools like Matlab/Simulink to develop advanced control systems. Additionally, we use various communication protocols, from Bluetooth for local exchanges to wide-area IoT networks, ensuring our solutions are innovative and efficient.

For exchanging data between devices and the hospital information system we build on our experience with HL7 and DICOM. At the same time we ensure that all data is safe, according to the latest cybersecurity standards.

AI integration in medical devices

enhancing healthcare with synthetic data and algorithms.

To deliver innovative medical devices to our customers, the integration of artificial intelligence (AI) is indispensable. We generate synthetic datasets through simulation, creating diverse, domain-specific 3D environments with various sensors like RGB cameras, lidar, and ultrasound. This approach provides consistent, rich annotations, overcoming data limitations and enabling advanced machine learning.

In healthcare, we use synthetic data to develop algorithms that improve patient care. Our synthetic CT scans enhance lung nodule classification, while our data supports algorithms for detecting patient-ventilator asynchrony and synchronizing respiratory efforts. We also use synthetic data to detect diabetic foot ulcers via smartphone images and optimize medical pump control with reinforcement learning, driving innovation for better patient outcomes.

software engineer

Jochem Rutgers.

“Mechanical and electrical components give a mechatronic system the potential to do its job, but it is the software that brings it to life. It will let it actually perform the intended function. As a software engineer, you have to understand the physical design, properties and limitations, and use that to create software that is safe, reliable and easy to use. The techniques used in a project always strongly depend on a chosen platform (PC/embedded/PLC/FPGA), language or compiler or libraries. But also on type of product (one-off or for mass production, where the latter is usually more constrained in CPU/memory resources than the former), and project deadlines. During the COVID-19 pandemic, we developed a medical ventilator in record time. Such a high-pressure project is not typical for us, but we do not do typical projects. The flexibility of our engineers is unique and inspiring.”

Delivering Innovative Software Solutions

smart algorithms for machine vision and device optimization.

We harness time series analysis for actionable insights through smart algorithms, crucial for machine health monitoring and optimizing device performance while minimizing downtime. Our commitment to signal integrity and energy efficiency results in energy-efficient code for ultralow-power devices, like wearables for home care or implantable devices. Moreover, we develop integrated machine vision systems for tasks such as image processing and object detection, enhancing the functionality of our healthcare solutions. We deliver innovative software solutions that meet the stringent demands of the life sciences and healthcare sectors.