Key result
The TERMA framework, utilizing two event-related moving averages, provides a simple and efficient method for detecting events in biomedical signals suitable for wearable devices.
Population
Biomedical signals
Comparison
TERMA framework vs Complex machine learning solutions
Design
Other
Authors
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May support wearable biosensor development; leaves open prospective clinical validation.
The TERMA framework provides a simple, efficient, and universal method for event detection in biomedical signals, suitable for wearable and point-of-care devices.
Mohamed Elgendi (2016) studied Biomedical signal analysis. TERMA framework (two event-related moving averages) was evaluated on Event detection in biomedical signals. The TERMA framework, utilizing two event-related moving averages, provides a simple and efficient method for detecting events in biomedical signals suitable for wearable devices.
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