e-journal

An Efficient and Compact Compressed Sensing Microsystem for Implantable Neural Recordings

---

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 m process. We estimate the proposed system would occupy an area of around 200 m 300 m per recording channel, and consumes 0.27 W operating at 20 KHz.
Index Terms—Compressed sensing (CS), dictionary learning, hardware implementation, multi-electrode arrays (MEA).

---

Ketersediaan

Tidak ada salinan data

Informasi Detail

Judul Seri

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS

No. Panggil

-

Penerbit

New York : IEEE., 2014

Deskripsi Fisik

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, VOL. 8, NO. 4, AUGUST 2014

Bahasa

English

ISBN/ISSN

1932-4545

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

VOL. 8, NO. 4, AUGUST 2014

Subjek

TEKNIK

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Yuli/Agus

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar