title: An efficient and compact compressed sensing microsystem for implantable neural recordings.
abstract: Multi-Electrode Arrays (MEA) have been widely used in neuroscience experiments. However, the reduction of their wireless transmission power consumption remains a major challenge. To resolve this challenge, an efficient on-chip signal compression method is essential. In this paper, we first introduce a signal-dependent Compressed Sensing (CS) approach that outperforms previous works in terms of compression rate and reconstruction quality. Using a publicly available database, our simulation results show that the proposed system is able to achieve a signal compression rate of 8 to 16 while guaranteeing almost perfect spike classification rate. Finally, we demonstrate power consumption measurements and area estimation of a test structure implemented using TSMC 0.18 μm process. We estimate the proposed system would occupy an area of around 200 μm ×300 μm per recording channel, and consumes 0.27 μ W operating at 20 KHz .
authors: Jie
authors: J
authors: Zhang
authors: Yuanming
authors: Y
authors: Suo
authors: Srinjoy
authors: S
authors: Mitra
authors: Sang Peter
authors: SP
authors: Chin
authors: Steven
authors: S
authors: Hsiao
authors: Refet Firat
authors: RF
authors: Yazicioglu
authors: Trac D
authors: TD
authors: Tran
authors: Ralph
authors: R
authors: Etienne-Cummings
mesh_terms: D000818:Animals; D004567:Electrodes, Implanted; D004582:Electronics, Medical / Q000295:instrumentation; D004867:Equipment Design; D009474:Neurons / Q000502:physiology*; D013686:Telemetry