Low-Power VLSI Architecture for ECG Signal Detection Using Transpose Form Retimed Delayed LMS Filter with Improved Progressive Cross Sea Lion Graph Contextual Convolutional Attention Network | Synapse
March 3, 2026
Low-Power VLSI Architecture for ECG Signal Detection Using Transpose Form Retimed Delayed LMS Filter with Improved Progressive Cross Sea Lion Graph Contextual Convolutional Attention Network
Key Points
ECG signal detection significantly enhances with the proposed low-power vlsi architecture and novel filter.
Key improvements include a 30% reduction in power consumption while maintaining signal accuracy.
Analysis of the transpose form retimed delayed LMS filter showcases its efficiency in processing.
Results indicate potential advancements in wearable health monitoring devices and low-power applications.