Extended Data Fig. 4: Data preprocessing pipeline of physiological data, equivalent reuse frequencies and distribution of weights deployed on FLEXI-1, and the confusion matrix of a four-channel 1D CNN.

a, Data preprocessing including filtering, peak detection, and smoothing. b, Equivalent reuse frequencies represent the square root of the computational time per bit of weight during a single on-chip inference. c, Distribution of weights visualizing the compute workload and allocation of weights. Weights computed more frequently are deployed in rows adjacent to the RLPU, where they exhibit better computational performance. d, Confusion matrix illustrating the classification accuracy for predicting each type of routine activity in the test set.