Deploying Quantized Convolutional Networks on Bedside Silicon

Achieving predictable latency and zero memory fragmentation in medical AI inference.

Static Tensor Allocation

Dynamic graph compilation is prohibited in safety-critical medical firmware. All neural activations, buffers, and weight matrices are statically allocated in SRAM at compile time.

Worst-Case Execution Time (WCET) Guarantees

Static timing analysis proves that 12-lead ECG beat classification finishes in under 8.4 milliseconds on a 120 MHz ARM Cortex-M4, well within the 200 ms cardiac refractory period.

Zero dynamic tensor allocations during live biosignal inference
Quantization-aware training (QAT) preserving diagnostic clinical accuracy
Independent watchdog timers monitoring AI inference task duration

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