This brief presents a low-power oscillatory synchronization feature extraction (FE) unit for phase-amplitude coupling (PAC) and phase locking value (PLV) features. The proposed FE unit uses a new multiplier-less wavelet approximation in combination with a multi-rate lowpass filter bank for low-power complex signal extraction. Further power and area reductions are obtained by utilizing a light sine and cosine extractor (LSCE) for the feature computation. The synthesized 32-channel design achieves state-of-the-art performances in post-layout simulations at 430 nW/channel and 0.36 mm2 while maintaining sufficient accuracy for seizure detection in epileptic patients.

Power and area efficient on-chip feature extraction is needed for future closed-loop neural interfaces. This paper presents a feature extraction unit for neural oscillatory synchrony that bypasses the phase extraction step to reduce hardware complexity. Instead, the sine and cosine of the phase are directly approximated from the real and imaginary components of the signal to calculate the phase-amplitude coupling (PAC) and phase locking value (PLV). The synthesized design achieves state-of-the-art performances at 43 nW/channel and 0.006 mm2, while maintaining sufficient accuracy for seizure detection in epileptic patients.