Cerenion Oy

Cerenion Oy develops medical devices primarily focused on electroencephalogram (EEG) monitoring for intensive care. Their portfolio includes software solutions like the C-Trend EEG Software and Cerenion C-Trend Software Library, as well as disposable hardware such as the C-Trend EEG Electrode. These devices are designed to simplify EEG readings and improve bedside care by enabling real-time signal processing and analysis.

Cerenion Oy is headquartered in Finland. Their devices are developed in compliance with EU regulatory standards, ensuring they meet the necessary requirements for medical device safety, performance, and traceability. Since their products are classified under EU medical device regulations, they are registered in the EUDAMED database, which is the official EU registry for medical devices.

Cerenion Oy’s EEG-related devices are classified under both Class I and Class IIb in the EU regulatory framework. The classification depends on factors like the intended use, risk associated with the device, and its interaction with patients. For example, disposable electrodes like the C-Trend EEG Electrode may fall under Class I due to lower risk, while software solutions like the C-Trend EEG Software could be classified as Class IIb due to higher clinical decision-making implications.

Yes, Cerenion Oy’s medical devices are registered in the eudamed database, which is the official EU registry for medical devices. This registry ensures transparency and traceability of devices placed on the EU market, allowing healthcare professionals, regulators, and other stakeholders to verify the compliance and details of the company’s products.

Cerenion Oy’s devices, such as the C-Trend platform, are designed for intensive care environments where continuous EEG monitoring is critical. The C-Trend EEG Software processes real-time brainwave data, while disposable electrodes like the C-Trend EEG Electrode enable accurate signal capture. Together, these tools help clinicians interpret EEG readings more efficiently at the bedside, supporting timely clinical decisions in high-risk patient care scenarios.