| Status | 已發表Published |
| Ultra-low Power QRS Detection using Adaptive Thresholding based on Forward Search Interval Technique | |
Xiao, R. ; Li, M.; Law, M. K. ; Mak, P. I.; Martins, R. P.
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| 2017-10-01 | |
| Source Publication | International Conference on Electron Devices and Solid-State Circuits (EDSSC), 2017
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| Abstract | We present an energy efficient QRS detector for real-time ECG signal processing implemented in ASIC. An adaptive thresholding scheme based on forward search interval (FSI) algorithm together with simple preprocessing is proposed to accurately detect QRS peaks. The Verilog HDL codes with improved hardware utilization efficiency are validated using FPGA, achieving 99.59% sensitivity (Se) and 99.63% positive prediction (Pr) using the MIT-BIH Arrhythmia database. A chip prototype is also implemented in a standard 0.18-µm CMOS process. Synthesized with a customized sub-threshold digital library for minimum energy operation, the proposed QRS detector occupies an active area of 0.13 mm2 and consumes merely 93nW. |
| Keyword | Energy efficient QRS detector adaptive thresholding forward search interval |
| URL | View the original |
| Language | 英語English |
| The Source to Article | PB_Publication |
| PUB ID | 29640 |
| Document Type | Conference paper |
| Collection | DEPARTMENT OF PSYCHOLOGY |
| Corresponding Author | Law, M. K. |
| Recommended Citation GB/T 7714 | Xiao, R.,Li, M.,Law, M. K.,et al. Ultra-low Power QRS Detection using Adaptive Thresholding based on Forward Search Interval Technique[C], 2017. |
| APA | Xiao, R.., Li, M.., Law, M. K.., Mak, P. I.., & Martins, R. P. (2017). Ultra-low Power QRS Detection using Adaptive Thresholding based on Forward Search Interval Technique. International Conference on Electron Devices and Solid-State Circuits (EDSSC), 2017. |
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