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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hiseni, S. Sawigun, C. Ngamkham, W. Serdijn, W.A. |
| Copyright Year | 2009 |
| Description | Author affiliation: Biomedical Electronics Group, Electronics Research Laboratory, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, the Netherlands (Hiseni, S.; Sawigun, C.; Ngamkham, W.; Serdijn, W.A.) |
| Abstract | Real time action potential (AP) detection is an important requirement for development of fully implantable neuroprosthetic devices. We present an ultra low-power CMOS analog circuit for detection of APs embedded in a noisy signal. The proposed strategy isolates APs by detecting subsequently a positive and a negative spike of each AP. An AP is detected only if the positive spike is detected within a short period of time after the negative spike was detected. The proposed circuit has been designed to be implemented in AMIS 0.35 µm technology (I3T80) and has been verified in Cadence using RF spectre. The final circuit operates from a 1-V supply and consumes only 1.5 nA. The detector is verified by means of simulations with synthetic neural waveforms and is able to successfully detect APs in noisy signals. |
| Starting Page | 97 |
| Ending Page | 100 |
| File Size | 643355 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424449170 |
| DOI | 10.1109/BIOCAS.2009.5372074 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Integrated circuit technology ultra low-power Energy consumption Circuit simulation Neurons action potential detector Frequency estimation multichannel recordings low-voltage prosthetic devices CMOS analog integrated circuits Detectors Isolation technology biomedical signal processing CMOS technology extracellular recordings Circuit noise Neural prosthesis |
| Content Type | Text |
| Resource Type | Article |
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