A Power-Efficient Oscillatory Synchronization Feature Extractor for Closed-Loop Neuromodulation
H. Yassin (Aswan University)
A. Akhoundi (TU Delft - Bio-Electronics)
El Sayed Hasaneen (Aswan University)
Dante Gabriel Muratore (TU Delft - Bio-Electronics)
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Abstract
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.