An Energy-Efficient Micropower Neural Recording Amplifier

By Woradorn Wattanapanitch, Michale S. Fee, Rahul Sarpeshkar. IEEE Transactions on Biomedical Circuits and Systems, 2007

469 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d92df1783f6883f5151f566c3e892713e392fc2e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Anantha P. Chandrakasan
2. Vladimir Marko Stojanovic
3. Fred Chen
4. Naveen Verma
5. John V. Guttag
6. Massimo Alioto

In Electrical and Electronic Engineering

1. Anantha P. Chandrakasan
2. Naveen Verma
3. Vladimir Marko Stojanovic
4. John V. Guttag
5. Fred Chen
6. Massimo Alioto
7. Mohamed F. Younis
8. Xuxun Liu

Citations in the corpus

• A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System (2010, background): “Finally, alternate topologies that do not rely on chopper stabilization have also been effective for bio-sensing applications [18], [19].”
• Design and Analysis of a Hardware-Efficient Compressed Sensing Architecture for Data Compression in Wireless Sensors (2012, background): “The required value of varies by application and the expected dynamic range of the input signal, but a common specification used in previously published bio-sensor applications is 40 dB [3], [25], [27].”