Abstract
The ability to noninvasively monitor heart rhythm in a home care environment is limited by the current ECG signal denoising techniques that can facilitate a robust and stable detection and analysis of heart rhythm, extracted from a far-field bipolar lead, located along the left arm (a comfort zone), offering patient compliance clinical advantages. Empirical mode decomposition (EMD) has been identified as an effective method of fast signal extraction and noise reduction for far-field recorded arm-ECGs. The following work discusses a technique that allows the EMD method to run on a live data stream and provide a filtered stream with latency of less than one second.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | IEEE Xplore |
| Number of pages | 1 |
| Publication status | Accepted/In press - 16 May 2017 |
| Event | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Jeju Island, South Korea Duration: 16 May 2017 → … |
Conference
| Conference | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| Period | 16/05/17 → … |
Keywords
- Empirical Mode Decomposition
- far-field ECG
- arm-ECG denoising
- ECG signal averaging
- low-latency data filtering
- digital filtering
- long-term heart rhythm monitoring
- SNR
- EMD
- signal-to-noise ratio
- WASTCArD
- MSCA-RISE Programme
- arm-wrist ECG extraction.