کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6879353 | 1443112 | 2018 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel adaptive real-time detection algorithm for an area-efficient CMOS spike detector circuit
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A novel adaptive real-time detection algorithm for an area-efficient CMOS spike detector circuit A novel adaptive real-time detection algorithm for an area-efficient CMOS spike detector circuit](/preview/png/6879353.png)
چکیده انگلیسی
For implantable neural detection and recording systems, computationally simple methods are preferred over complex algorithms for power efficiency. Amplitude threshold is the simplest and the most widely employed method for neural spike detection. However, this conventional method for setting the threshold is sensitive to the spike firing rate and spike amplitude. In this work, a novel approach is described for a real-time calculation of the detection threshold in a way that is robust to the change in spike firing rate as well as spike amplitude. An algorithm is proposed that adaptively sets the threshold from background activity by approximating the nonlinear energy operator (NEO). The detection method can distinguish neural spikes accurately with firing rate greater than 100â¯Hz. The spike detector circuit dissipates 5.1â¯Î¼W of power per channel and occupies 0.018â¯mm2 of layout area when implemented in 0.18â¯Î¼m CMOS process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AEU - International Journal of Electronics and Communications - Volume 88, May 2018, Pages 87-97
Journal: AEU - International Journal of Electronics and Communications - Volume 88, May 2018, Pages 87-97
نویسندگان
Shashank Dwivedi, Anup K. Gogoi,