Muneeb et al., 2022 - Google Patents
A 2.7 μj/classification machine-learning based approximate computing seizure detection socMuneeb et al., 2022
- Document ID
- 6754778979535123870
- Author
- Muneeb A
- Ali M
- Altaf M
- Publication year
- Publication venue
- 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
External Links
Snippet
An electroencephalogram (EEG) based non-invasive 2-channel System on Chip (SoC) is presented to detect and report the seizure event of the epileptic patient. The SoC incorporates an area and power-efficient dual-channel analog front-end (AFE) and machine …
- 238000001514 detection method 0 title abstract description 16
Classifications
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
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