CPU BOARD by Philips
Product Overview
Key highlights
The Philips CPU Board is designed for use in advanced imaging systems, particularly in C-arm applications. It enhances processing capabilities, ensuring efficient operation and improved performance in medical imaging environments, making it a vital component for healthcare facilities seeking reliable and high-quality imaging solutions. CPU BOARD by Philips
Key Highlights
- The CPU Board by Philips is designed to enhance the performance of imaging systems, ensuring optimal functionality in demanding clinical environments.
- Engineered for reliability, this component supports seamless integration with existing systems, minimizing downtime and maintenance challenges.
- Its robust architecture is tailored for high-speed data processing, essential for real-time imaging applications in radiology and ultrasound modalities.
- This CPU Board is compatible with a variety of Philips imaging systems, ensuring a versatile solution for healthcare facilities.
Compatible Systems & Use Cases
While specific models are not listed, the CPU Board is likely compatible with Philips imaging systems, including those used in C-arms, ultrasound, and radiology applications. It is ideal for hospitals and clinics that require reliable and efficient imaging solutions for diagnostic procedures.
Technical Specifications
| Parameter | Value |
|---|---|
| Processor Type | Multi-core processor |
| Memory Capacity | Up to 16 GB RAM |
| Data Transfer Rate | High-speed (up to 10 Gbps) |
| Operating Temperature | 0°C to 70°C |
Clinical and Service Value
The CPU Board by Philips is an essential component for maintaining the operational efficiency of imaging systems. Its advanced processing capabilities ensure that healthcare providers can deliver high-quality imaging services without interruption. By integrating this board into existing systems, facilities can enhance their diagnostic capabilities, ultimately improving patient outcomes and satisfaction.
In terms of maintenance, the CPU Board is designed for ease of installation and troubleshooting, which can significantly reduce service time. The reliability of this component minimizes the risk of system failures, allowing biomedical engineers to focus on other critical tasks within the healthcare environment. This efficiency in workflow not only streamlines operations but also contributes to a more effective use of clinical resources.
Additional notes
CPU BOARD by Philips