A wireless photoplethysmography signal processing system for long-term monitoring
| Autor: | Wai-Chi Fang, Chia-Ching Chou, Chih-Chin Wu, Jia-Ju Liao, Shang Chuang, Shu-Han Fan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Signal processing
Engineering business.industry 020208 electrical & electronic engineering 02 engineering and technology White noise Chip Signal Hilbert–Huang transform 030218 nuclear medicine & medical imaging Display device 03 medical and health sciences 0302 clinical medicine CMOS 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless business |
| Zdroj: | ICCE |
| DOI: | 10.1109/icce.2016.7430698 |
| Popis: | This paper has presented a photoplethysmography (PPG) signal processing system based on ensemble empirical mode decomposition (EEMD) method. Traditionally, empirical mode decomposition (EMD) suffers from mode mixing problem during the decomposition process. This paper adopts EEMD to solve the mode mixing problem by adding different sets of white noise and decompose signal into meaningful intrinsic mode functions. The system is implemented on self-designed platform combined with front-end circuit, EEMD chip by TSMC 90nm CMOS technology, and commercial display devices. The results showed that the proposed EEMD processor can effectively solve the mode mixing problem of EMD. It was helpful for non-stationary biomedical signal processing and cardiovascular diseases research. |
| Databáze: | OpenAIRE |
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