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Continuous long-term implantable signal acquisition devices have high energy and memory requirements, in order to capture and store data for a long period. The memory requirement could be reduced by compressing the data, but the computations to compress the data by existing methods result in a substantial increase in the energy consumption. We present as a solution an adaptive time-encoder that captures signal transition-times at a rate depending on the activity of the signal, as opposed to either constant Nyquist-rate or asynchronous and adaptive signal amplitude sampling [1, 2].

Asynchronous Time Encoding: An Approach to Sub-Nyquist Rate Sampling