Zynq UltraScale+ MPSoC
Heterogeneous multiprocessing platform for a broad range of embedded applications.
About AEDs
Automated External Defibrillators (AEDs) are similar to electrocardiograms (ECG) or multi-parameter patient monitors, and also provide life-saving therapy. ECGs monitor heart signals via electrodes connected to specific locations on the human body. These signals, on the order of a few millivolts in amplitude, are difficult to discern against a noisy background, but are used to accurately determine a person’s QRS complex. The QRS complex is what is commonly used by doctors to diagnose a wide range of heart conditions, such as arrhythmia or atrial or ventricular fibrillation. The AED uses the same QRS complex to make the decision to provide therapy, or the shock to resynchronize the heart.
Key Considerations
Reliability, easy-to-use HMI, accuracy, fast boot times, power management, and security are just some of the key considerations for AEDs. These systems need processing power that is powerful enough to acquire, process, and interpret several parameters at once, while also providing a straightforward HMI. A simplified architecture of a typical AED can have a built-in SVGA resolution display, a touch screen HMI, and separate external display connectivity to a high-definition monitor (to provide or maybe to show a related video). Modern AEDs are networked with wired and wireless connectivity.
High Performance, Low Power AED Devices
A high-level block diagram is shown here of a smart, connected, high performance, low power AED device. It includes a single, dual, or quad core AMD Zynq™ Ultrascale+™ MPSOC with an optimally configured FPGA fabric, depending on the performance-per-watt and price/cost trade-off requirements. The new ZU1 MPSoC, along with the rest of the Zynq Ultrascale+ family of products, provides the scalability to create low to high-end AED devices using the same software footprint, at low power and cost. The customer could also choose to design with AMD Kria™ SOMs for faster time-to-market.
Defibrillators can be smart and connected to the network in the back end. A smart Defib/Monitor (like a patient-vest) would have the capability to send secure data to the cloud (Hybrid or Private) for analytics and storage. It will also be able to support local and networked high-definition displays.
Zynq UltraScale+ Architecture
The processing systems in Zynq UltraScale+ adaptive SoC devices are very powerful. A complex architecture could support using a hypervisor with guest OS versions running Linux for a variety of tasks like control plane, monitoring, diagnostics, and analytics. Many supported commercial RTOS (QNX Neutrino, VxWorks, or ThreadX) or open-source RTOS (Micrium or SafeRTOS) can be used for real-time tasks.
Benefits
- Real-time signal processing
- Safety implementation potentially with TMR offering low risk and high reliability
- Support for all sensory types with flexible customizable I/O
- Integrated xADC block for simple sensors and direct analog sensory connection with enhanced digital filtering, lower latency sensor monitoring, and high-speed parallel digital Interface to FPGA fabric
- FPGA fabric to process critical events in real time with no need to wait for processor
- Ability to handle graphics needs and display processing into multiple displays with same or different content seamlessly
- Ability to handle other intensive tasks with a combination of powerful embedded processors and offload to FPGA as needed
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