Aggregating chronic neural telemetry across patient cohorts to uncover neuro-degenerative patterns.
Distributed stream processing engines partition incoming neural channels across clustered worker nodes, computing power spectral densities and coherence matrices in parallel.
Analyzing years of continuous neural telemetry reveals subtle shifts in beta-band oscillations that predict Parkinsonian tremors weeks before clinical symptom escalation.